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1

Burkina Faso: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Burkina Faso: Energy Resources Burkina Faso: Energy Resources (Redirected from ECOWAS Gateway-Burkina Faso) Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":13,"lon":-2,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

2

Burkina Faso: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Burkina Faso: Energy Resources Burkina Faso: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":13,"lon":-2,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

3

Burkina Faso BRIGHT Evaluation Data | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Burkina Faso BRIGHT Evaluation Data Burkina Faso BRIGHT Evaluation Data Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Burkina Faso BRIGHT Evaluation Data Dataset Summary Description In 2007-08, Mathematica Policy Research and the University of Ouagadougou conducted household and school surveys as part of MCC's evaluation of the Burkina Faso Threshold Program, which sought to increase educational attainment through the construction of schools and complementary interventions. The surveys were conducted in 291 villages, of which 132 were participant villages and 159 comparison villages. Tags {Burkina,Faso,evaluation,education,school,impact,aid,results,random,regression,discontinuity,"threshold program"}

4

Burkina Faso-Forest Investment Program (FIP) | Open Energy Information  

Open Energy Info (EERE)

Burkina Faso-Forest Investment Program (FIP) Burkina Faso-Forest Investment Program (FIP) Jump to: navigation, search Name Burkina Faso-Forest Investment Program (FIP) Agency/Company /Organization World Bank Sector Land Topics Background analysis, Finance, Implementation, Low emission development planning, Market analysis Website http://www.climatefundsupdate. Program Start 2008 Country Burkina Faso Western Africa References Forest Investment Program (FIP)[1] Forest Investment Program[2] Brazil Specific Documents[3] Democratic Republic of Congo Specific Documents[4] Ghana Specific Documents[5] Indonesia Specific Documents[6] Laos Specific Documents[7] Mexico Specific Documents[8] Peru Specific Documents[9] Overview "The Forest Investment Program (FIP) is a targeted program of the Strategic Climate Fund (SCF), which is one of two funds within the framework of the

5

Burkina Faso Energy Access Project | Open Energy Information  

Open Energy Info (EERE)

Faso Energy Access Project Faso Energy Access Project Jump to: navigation, search Name of project Burkina Faso Energy Access Project Location of project Burkina Faso Year initiated 2007 Organization World Bank Website http://documents.worldbank.org Coordinates 12.238333°, -1.561593° References Document[1] Energy Access Project aims to support Burkina Faso's efforts to increase access to, and use of energy services to improve living conditions in selected rural, peri-urban, and urban areas. The project includes the following components : increasing access to electricity services in the urban, peri-urban and rural areas; woodfuels supply management and inter-fuel substitution initiatives; and institutional strengthening, capacity development, and harmonization. References ↑ "Document"

6

The Decentralization and Centralization of Curriculum in the Primary Education of Burkina Faso.  

E-Print Network (OSTI)

?? In Burkina Faso, a decree which transfers competences and resources related to basic education to municipalities, does not mention the case of curriculum. This (more)

Ziba, Simon A.

2011-01-01T23:59:59.000Z

7

Burkina Faso-Reducing the GHG Impacts of Sustainable Intensification | Open  

Open Energy Info (EERE)

Burkina Faso-Reducing the GHG Impacts of Sustainable Intensification Burkina Faso-Reducing the GHG Impacts of Sustainable Intensification Jump to: navigation, search Name Burkina Faso-Reducing the GHG Impacts of Sustainable Intensification in East Africa Agency/Company /Organization CGIAR's Climate Change, Agriculture and Food Security (CCAFS), Canadian International Development Agency (CIDA), the Danish International Development Agency (DANIDA), the European Union, International Fund for Agricultural Development (IFAD) Partner International Livestock Research Institute (ILRI), International Council for Research in Agroforestry (ICRAF), International Crops Research Institute for the Semi-Arid-Tropics (ICRISAT), International Water Management Institute (IWMI), Ministry of Agriculture Sector Land Focus Area Agriculture

8

Estimation of Rainfall in Burkina Faso Using the ESOC Precipitation Index  

Science Conference Proceedings (OSTI)

Rainfall is estimated in Burkina Faso for a full year using the ESOC precipitation index (EPI), a statistical cloud indexing method based on satellite data from METEOSAT. The EPI is converted into rainfall with the linear regression calculated ...

Olli M. Turpeinen; A. A. Diallo

1989-02-01T23:59:59.000Z

9

Urban Modification of the Surface Energy Balance in the West African Sahel: Ouagadougou, Burkina Faso  

Science Conference Proceedings (OSTI)

Surfaceatmosphere energy exchanges in Ouagadougou, Burkina Faso, located in the West African Sahel, were investigated during February 2003. Basic knowledge of the impact of land cover changes on local climate is needed to understand and forecast ...

B. Offerle; P. Jonsson; I. Eliasson; C. S. B. Grimmond

2005-10-01T23:59:59.000Z

10

Weather-Index Drought Insurance in Burkina-Faso: Assessment of Its Potential Interest to Farmers  

Science Conference Proceedings (OSTI)

By using a detailed agricultural and climate dataset over Burkina-Faso and simple assumptions regarding the form of an insurance contract, the authors investigate the potential economic efficiency for farmers of a weather-index insurance system ...

Alexis Berg; Philippe Quirion; Benjamin Sultan

2009-10-01T23:59:59.000Z

11

1 Consumption smoothing: empirical evidence from rural Burkina Faso  

E-Print Network (OSTI)

This paper analyzes the community insurance of individual consumption against income risks in rural Burkina Faso. The study area is characterized by significant income volatility, particularly for poor households, caused by global or idiosyncratic shocks. The average consumption at village or region community level is used to control for global shocks. The differential effect of income instability on consumption insurance of poor households has been identified. We find robust results by using the General Least Square Method, applied to a 2004-2006 panel data from PNGT2. These results indicate partial consumption insurance by the community. Poor household income is more unstable. Its consumption is more linked to its income variation and less assured by its community during important global shocks. Consumption in the cotton basin is more sensitive to the income risk and less insured by the community. Food consumption is more assured. These results reveal an important role of the rural community in risk sharing, principally in situation of absence of formal insurance structures. 1. Background and objectives The rural Burkina Faso is characterized by important income volatility generated by global or idiosyncratic shocks. This volatility would be particularly for the poor. The main income source in this area is agriculture; then, income is dependent on climatic and socio-economic shocks, as in most of the developing countries (Deaton, 1992, 1997). The instability of household income is a risk on their consumption. Some risks are global, affecting all the households and others are idiosyncratic. However, the formal institutional mechanisms of consumption insurance against these risks are not well developed or not effective. The literature indicates that rural households develop various actions of consumption adjustment in case of income risks 1. It is, for example, about storage of agricultural food grains, space diversification of land plots exploited, credit, speculation on assets and family solidarity

Yiriyibin Bambio

2010-01-01T23:59:59.000Z

12

Burkina Faso-UNEP Green Economy Advisory Services | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Burkina Faso-UNEP Green Economy Advisory Services Jump to: navigation, search Logo: Burkina Faso-UNEP Green Economy Advisory Services Name Burkina Faso-UNEP Green Economy Advisory Services Agency/Company /Organization United Nations Environment Programme (UNEP) Partner German Agency for International Cooperation (GIZ), Global Green Growth Knowledge Platform (GGKP), Green Jobs Initiative, United Nations Development Programme (UNDP), United Nations Department of Economic and Social Affairs (UNDESA) Sector Climate, Energy, Land, Water Focus Area People and Policy

13

Siting guidelines for concentrating solar power plants in the Sahel: Case study of Burkina Faso  

Science Conference Proceedings (OSTI)

Selecting a site that meets the technical requirements for a concentrating solar power plant (CSP) is a very critical exercise. This paper points out crucial factors and provides guidelines regarding the selection of suitable sites. It especially focuses on Sahelian countries which have their own climatic peculiarities. These countries, characterized by low access to electricity, are well endowed in solar resources. They are potentially good locations for concentrating solar power plants since their mean daily solar radiation exceeds 5.5 kWh/m{sup 2}. CSP presents therefore, a good opportunity for them to increase in a sustainable manner, their energy supply. The guidelines developed in this paper are applied to Burkina Faso as a case study. (author)

Azoumah, Y.; Tapsoba, G.; Thiam, S. [Laboratoire Energie Solaire et Economie d'Energie (LESEE), Fondation 2iE (International Institute of Water an Environmental Engineering), 01 BP 594, Ouagadougou 01 (Burkina Faso); Ramde, E.W. [Solar Energy Application Laboratory (SEAL), KNUST, Kumasi (Ghana)

2010-08-15T23:59:59.000Z

14

Schedule of the Joint Mission to support Burkina Faso in  

E-Print Network (OSTI)

Joint Mission Objective: Based on the findings of the stocktaking analysis conducted by the government with MDBs support and consultations with all stakeholders, the main objective of the mission is to elaborate the first draft of the FIP Investment Strategy raising the main investment priorities and related projects ideas

Forest Investment Program; Fip Burkina Faso

2011-01-01T23:59:59.000Z

15

Burkina Faso - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Includes hydropower, solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium. Uranium fuel, nuclear reactors, generation, spent fuel. ...

16

Burma (Myanmar) - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Solar Energy in Brief ... but is forecasted to rise further due to new projects. Burma's natural gas consumption, ... In a 2009 agreement, ...

17

Regional tectonics of Myanmar (Burma) and adjacent areas  

SciTech Connect

Analysis of 38 contiguous Landsat Multispectral Scanner scenes acquired over Myanmar (Burma) reveals numerous large-scale features associated with margins of the Burman plate, previously unidentified northeast-southwest-trending discontinuities, important extensions of previously mapped fault trends, and numerous structural features that appear favorable for petroleum exploration. A mosaic of these scenes at 1:1,000,000 scale shows a large number of tectonic elements and their spatial relationships. Within the area of investigation are portions of the Indian, Burman, Lhasa, and Shan-Thai plates, and perhaps other, smaller plates. The Himalayan front and Indo-Burman Ranges manifest effects of current and recently past plate movement. The complexity of the kinematic history accounts for the diversity of structural features in the area. The last major event in this long and violent saga, which began in middle Miocene (approximately 11 Ma) time and continues to the present, is the recent change from a collisional to a right-lateral strike-slip transform margin between the Indian and Burman plates. The complexity of the structures visible is the product of multiple plate collisions, rotation of the Indian plate and parts of the Asian plate, and long-continued convergence that changed velocity and direction tbrough time. The most obvious evidence of this complexity, which is immediately apparent on geologic maps or the Landsat mosaic of the region, is the almost right-angle relationship of the folds of the Indo-Burman Ranges and the frontal thrusts and suture zones of the Himalaya. These two sets of compressive features imply maximum compressive stress axes that lie at right angles to each other. The implications are either that the orientation of the stress field changes rapidly over a short distance or that the stress field has changed through time. Both occurrences seem to be true.

Everett, J.R.; Russell, O.R.; Staskowski, R.J.; Loyd, S.P.; Tabbutt, V.M. (Earth Satellite Corp., Chevy Chase, MD (USA)); Dolan, Stein, A. (Dolan and Associates, Richmond (England))

1990-05-01T23:59:59.000Z

18

A crop model and fuzzy rule based approach for optimizing maize planting dates in Burkina Faso, West Africa  

Science Conference Proceedings (OSTI)

In Sub-Saharan Africa with high rainfall variability and little irrigation options, the crop planting date is a crucial tactical decision for farmers and therefore a major concern in agricultural decision making. To support decision making in ...

Moussa Waongo; Patrick Laux; Seydou B. Traor; Moussa Sanon; Harald Kunstmann

19

The organizational evolution of OSS detachment 101 in Burma; 1942-1945  

E-Print Network (OSTI)

The Office of Strategic Services (OSS), was created during the Second World War to be a central collector, producer, and disseminator of foreign intelligence. Its secondary role of clandestine warfare did not come easily. One OSS unit, Detachment 101, surmounted numerous problems to become a model clandestine and special operations unit able to create its own indigenous army that waged war behind Japanese lines in Burma. This study uses previously unexplored primary source materials from the OSS records held by the U.S. National Archives to examine the unit and its organizational changes from 1942 to 1945. Detachment 101 succeeded in the China-Burma-India Theater (CBI) for the simple reason that it was able to function independent of immediate control from either the U.S. Army or OSS main headquarters. Source documents reveal that the units commander was left on his own to decide how the unit would operate, and how to incorporate various OSS branches and capabilities into its operational matrix. The CBIs lack of resources dictated that the Detachment 101 had to streamline its efforts to be successful. Its officers needed to get acquainted with the entire operation and then integrate their disparate elements into where they best fit as the whole. An exploration of the documents reveals that each of the units two commanders molded the unit into an organization that reflected their personalities. Colonel Carl F. Eifler, was bold and impetuous and modeled the group to accomplish any taskeven if it could not. Colonel William R. Peers, focused the groups efforts on assisting the north Burma campaign. Under his direction, the unit rapidly became a much more cohesive unit able to help the Allies win control of north Burma. His direction was instrumental in Detachment 101s first real test; the Myitkyina Campaign. Examination of the primary documents uncovers that by the end of the war, the unit had become so successful and so flexible that it was the only ground combat unit fighting in north Burma, and was able to adopt a variety of dissimilar missions. Although other OSS combat operations gave exceptional service, none was as central to the conduct of an entire campaign as was Detachment 101.

Sacquety, Troy James

2008-05-01T23:59:59.000Z

20

Characterization of the Burma Road Rubble Pit at the Savannah River Site, Aiken, South Carolina  

Science Conference Proceedings (OSTI)

The Burma Road Rubble Pit (BRRP) is located at the Savannah River Site (SRS). The BRRP unit consists of two unlined earthen pits dug into surficial soil and filled with various waste materials. It was used from 1973--1983 for the disposal of dry inert rubble such as metal, concrete, lumber, poles, light fixtures, and glass. No record of the disposal of hazardous substances at the BRRP has been found. In 1983, the BRRP was closed by covering it with soil. In September 1988, a Ground Penetrating Radar survey detected three disturbed areas of soil near the BRRP, and a detailed and combined RCRA Facility Investigation/Remedial Investigation was conducted from November 1993 to February 1994 to determine whether hazardous substances were present in the subsurface, to evaluate the nature and extent of contamination, and to evaluate the risks posed to the SRS facility due to activities conducted at the BRRP site. Metals, semi-volatile organic compounds, volatile organic compounds, radionuclides and one pesticide (Aldrin) were detected in soil and groundwater samples collected from seventeen BRRP locations. A baseline risk assessment (BRA) was performed quantitatively to evaluate whether chemical and radionuclide concentrations detected in soil and groundwater at the BRRP posed an unacceptable threat to human health and the environment. The exposure scenarios identifiable for the BRRP were for environmental researchers, future residential and occupational land use. The total site noncancer hazard indices were below unity, and cancer risk levels were below 1.0E-06 for the existing and future case environmental researcher scenario. The future case residential and occupational scenarios showed total hazard and risk levels which exceeded US EPA criterion values relative to groundwater scenarios. For the most part, the total carcinogenic risks were within the 1.0E-04 to 1.0E-06 risk range. Only the future adult residential scenario was associated with risks exceeding 1.0E-04.

Ward, K.G.; Frazier, W.L.; McAdams, T.D.; McFalls, S.L.; Rabin, M. [Westinghouse Savannah River Co., Aiken, SC (United States); Voss, L. [Westinghouse Savannah River Co., Aiken, SC (United States)]|[Neptune and Co., Los Alamos, NM (United States)

1996-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "burkina faso burma" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Environmental Assessment for the Construction, Operation, and Closure of the Burma Road II Borrow Pit at the Savannah River Site  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Construction, Operation, and Closure of the Construction, Operation, and Closure of the Burma Road II Borrow Pit at the Savannah River Site Agency: U.S. Department of Energy Action: Finding of No Significant Impact Summary: The U.S. Department of Energy (DOE) has prepared an environmental assessment (EA) (DOE/EA-1501) to analyze the potential environmental impacts of a new borrow pit, and its alternatives, at the Savannah River Site (SRS), located near Aiken, South Carolina. Based on the analyses in the EA, DOE has determined that this action is not a major Federal action significantly affecting the quality of the human environment within the meaning of the National Environmental Policy Act of 1969 (NEPA). Therefore, the preparation of an environmental impact statement (EIS) is not

22

WHO Report on the Global Tobacco Epidemic 2011: Warning about the dangers of tobacco  

E-Print Network (OSTI)

this group: Albania, Azerbaijan, Bangladesh, Burkina Faso,not required/not applicable. Azerbaijan Belarus Belgium VAndorra 5 Armenia Austria Azerbaijan Belarus Belgium Bosnia

WHO

2011-01-01T23:59:59.000Z

23

Slide07 | OSTI, US Dept of Energy, Office of Scientific and Technical...  

Office of Scientific and Technical Information (OSTI)

Information Partners in WorldWideScience.org Algeria Australia Argentina Botswana Brazil Burkina Faso Cameroon Canada Chile Colombia Congo, DR Cote d'Ivoire Denmark Egypt...

24

Reply to comment | OSTI, US Dept of Energy, Office of Scientific...  

Office of Scientific and Technical Information (OSTI)

Information Partners in WorldWideScience.org Algeria Australia Argentina Botswana Brazil Burkina Faso Cameroon Canada Chile Colombia Congo, DR Cote d'Ivoire Denmark Egypt...

25

Program Program Organization Country Region Topic Sector Sector  

Open Energy Info (EERE)

UNEP Armenia Azerbaijan Barbados Burkina Faso China Egypt Ghana Indonesia Jordan Kenya Korea Mali Mexico Moldova Mongolia Montenegro Morocco Namibia Nepal Peru Philippines Russia...

26

Spatial Coherence of Monsoon Onset over Western and Central Sahel (19502000)  

Science Conference Proceedings (OSTI)

The spatial coherence of boreal monsoon onset over the western and central Sahel (Senegal, Mali, Burkina Faso) is studied through the analysis of daily rainfall data for 103 stations from 1950 to 2000. Onset date is defined using a local ...

Romain Marteau; Vincent Moron; Nathalie Philippon

2009-03-01T23:59:59.000Z

27

UNIVERSITY OKLAHOMA College of International Studies  

E-Print Network (OSTI)

Singapore 6 South Korea 2 Azerbaijan 1 Belgium 96 France 28 Germany 1 Greece Republic 2 The Netherlands 2 Azerbaijan 2 Belgium 1 Brazil 1 Burkina Faso 1 Egypt 1 Finland 1 Ghana 1 from Austria 7 Total from Azerbaijan 1 Total from Bahamas, The 2 Total

Oklahoma, University of

28

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 6230  

E-Print Network (OSTI)

Lumani (Burkina Faso), where the waste water produced by the major cit- ies and the increasing use, Olivier and Moreau, Jacques and Gourene, Germain and Laffaille, Pascal Water quality and water) pp. 38-47" DOI : 10.4236/oje.2012.21005 #12;doi:10.4236/oje.2012.21005 Water quality and water

29

West African Clean Energy Gateway-Resource Assessment | Open Energy  

Open Energy Info (EERE)

African Clean Energy Gateway-Resource Assessment African Clean Energy Gateway-Resource Assessment Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo SWERA-thumb.jpg The SWERA landing page allows for the quick browsing of global data layers.

30

Impact Assessment Toolkit | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Impact Assessment Toolkit Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png

31

ECOWAS Clean Energy Gateway-Finance | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » ECOWAS Clean Energy Gateway-Finance Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png

32

ECOWAS Clean Energy Gateway-Policy/ProgramDesign | Open Energy Information  

Open Energy Info (EERE)

ECOWAS Clean Energy Gateway-Policy/ProgramDesign ECOWAS Clean Energy Gateway-Policy/ProgramDesign Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Background → Design → Implementation →

33

ECOWAS Clean Energy Gateway-News | Open Energy Information  

Open Energy Info (EERE)

News News Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Regional News Renewable Energy News Today-West Africa Renewable Energy News Failed to load RSS feed from http://renewableenergy.einnews.com/xml/west-africa/: Error fetching URL: Operation timed out after 5000 milliseconds with 0 bytes received

34

Gateway:ECOWAS Clean Energy Gateway | Open Energy Information  

Open Energy Info (EERE)

ECOWAS Clean Energy Gateway ECOWAS Clean Energy Gateway Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo West Africa Organizations, Programs, and Tools Countries (15)

35

West African Clean Energy Gateway-Software Analysis Tools | Open Energy  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » West African Clean Energy Gateway-Software Analysis Tools Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png

36

ECOWAS Clean Energy Gateway-Transportation | Open Energy Information  

Open Energy Info (EERE)

ECOWAS Clean Energy Gateway-Transportation ECOWAS Clean Energy Gateway-Transportation Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Introduction→ Step 1 Step 2 Step 3 Step 4

37

ECOWAS Clean Energy Gateway-Help | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » ECOWAS Clean Energy Gateway-Help Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png

38

ECOWAS Clean Energy Gateway-Technology Data | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » ECOWAS Clean Energy Gateway-Technology Data Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png

39

ECOWAS Clean Energy Gateway-About | Open Energy Information  

Open Energy Info (EERE)

ECOWAS Clean Energy Gateway-About ECOWAS Clean Energy Gateway-About Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo The ECOWAS Centre for Renewable Energy and Energy Efficiency (ECREEE) is

40

Energy System and Scenario Analysis Toolkit | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo What analysis tools and methods can I use to study my country's energy system? Understanding approaches

Note: This page contains sample records for the topic "burkina faso burma" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

ECOWAS Clean Energy Gateway-Organizations and Networks | Open Energy  

Open Energy Info (EERE)

ECOWAS Clean Energy Gateway-Organizations and Networks ECOWAS Clean Energy Gateway-Organizations and Networks Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Registered Technical and Research Organizations

42

ECOWAS Clean Energy Gateway-Links | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit History Facebook icon Twitter icon » ECOWAS Clean Energy Gateway-Links Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo

43

Burma (Myanmar) - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

State energy information ... (nearly 70 percent in 2010). The electricity sector fails to meet the country's needs, with a mere 22 percent of the population having ...

44

Naphtha for Petrochem. Feedstock Use Imports from Burma  

U.S. Energy Information Administration (EIA)

... Iran, Iraq, Kuwait, Qatar, Saudi Arabia, and United Arab Emirates. Totals may not equal sum of components due to independent rounding.

45

Burma (Myanmar) - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Petroleum & Other Liquids. Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. ...

46

Burma (Myanmar) - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Meanwhile, exports to China would commence with the development of the Shwe gas project in the Rakhine Basin, which could have a peak production capacity of 500 MMcf/d.

47

African Biofuel & Renewable Energy Fund (ABREF) | Open Energy Information  

Open Energy Info (EERE)

Biofuel & Renewable Energy Fund (ABREF) Biofuel & Renewable Energy Fund (ABREF) Jump to: navigation, search Name African Biofuel & Renewable Energy Fund (ABREF) Agency/Company /Organization African Biofuel & Renewable Energy Compnay (ABREC) Sector Energy Focus Area Renewable Energy, Biomass, - Biofuels Website http://www.bidc-ebid.com/en/fo Country Benin, Burkina Faso, Cape Verde, Ivory Coast, Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Niger, Nigeria, Senegal, Sierra Leone, Togo Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa References African Biofuel & Renewable Energy Fund (ABREF)[1]

48

Forest Investment Program (FIP) | Open Energy Information  

Open Energy Info (EERE)

Program (FIP) Program (FIP) Jump to: navigation, search Name Forest Investment Program (FIP) Agency/Company /Organization World Bank Sector Land Topics Background analysis, Finance, Implementation, Low emission development planning, Market analysis Website http://www.climatefundsupdate. Program Start 2008 Country Brazil, Burkina Faso, Democratic Republic of Congo, Ghana, Indonesia, Laos, Mexico, Peru South America, Western Africa, Middle Africa, Western Africa, South-Eastern Asia, South-Eastern Asia, Central America, South America References Forest Investment Program (FIP)[1] Forest Investment Program[2] Brazil Specific Documents[3] Democratic Republic of Congo Specific Documents[4] Ghana Specific Documents[5] Indonesia Specific Documents[6] Laos Specific Documents[7]

49

National Action Programmes on Desertification | Open Energy Information  

Open Energy Info (EERE)

Programmes on Desertification Programmes on Desertification Jump to: navigation, search Name National Action Programmes on Desertification Agency/Company /Organization United Nations Convention to Combat Desertification Sector Land Focus Area Forestry, Agriculture Topics Co-benefits assessment, GHG inventory, Policies/deployment programs, Background analysis Resource Type Publications Website http://www.unccd.int/actionpro Country Algeria, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Chad, Democratic Republic of Congo, Djibouti, Egypt, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Lesotho, Madagascar, Malawi, Mali, Mauritania, Morocco, Mozambique, Namibia, Niger, Nigeria, Senegal, South Africa, Sudan, Swaziland, Tanzania, Togo, Tunisia, Uganda, Zambia, Zimbabwe

50

Slide23 | OSTI, US Dept of Energy, Office of Scientific and Technical  

Office of Scientific and Technical Information (OSTI)

Slide23 Slide23 Slide23 Developing Country Access Afghanistan Guatemala Nigeria Albania Guinea Pakistan Algeria Guinea-Bissau Palestinian Territories (West Bank/ Gaza) Angola Guyana Papua New Guinea Armenia Haiti Paraguay Azerbaijan Honduras Peru Bangladesh Indonesia Philippines Belize Iraq Rwanda Benin Jordan Samoa Bhutan Kenya Sao Tome and Principe Bolivia Kiribati Senegal Burkina Faso Kyrgyzstan Sierra Leone Burundi Lao People's Democratic Republic Solomon Islands Cambodia Lesotho Somalia Cameroon Liberia Sri Lanka Cape Verde Macedonia, The Former Yugoslav Republic of Swaziland Central African Republic Madagascar Tajikistan Chad Malawi Tanzania, United Republic of Colombia Maldives Thailand Comoros Mali Timor-Leste Congo Marshall Islands Togo Congo, The Democratic Republic of Mauritania Tonga

51

UNEP Green Economy Advisory Services | Open Energy Information  

Open Energy Info (EERE)

Logo: UNEP Green Economy Advisory Services Name UNEP Green Economy Advisory Services Agency/Company /Organization United Nations Environment Programme (UNEP) Partner German Agency for International Cooperation (GIZ), Global Green Growth Knowledge Platform (GGKP), Green Jobs Initiative, United Nations Development Programme (UNDP), United Nations Department of Economic and Social Affairs (UNDESA) Sector Climate, Energy, Land, Water Focus Area People and Policy Topics Low emission development planning Country Armenia, Azerbaijan, Barbados, Burkina Faso, China, Egypt, Ghana, Indonesia, Jordan, Kenya, Korea, Mali, Mexico, Moldova, Mongolia, Montenegro, Morocco, Namibia, Nepal, Peru, Philippines, Russia, Rwanda, Senegal, Serbia, South Africa, Ukraine

52

Climate-Proofing Energy Systems | Open Energy Information  

Open Energy Info (EERE)

Proofing Energy Systems Proofing Energy Systems Jump to: navigation, search Tool Summary Name: Climate-Proofing Energy Systems Agency/Company /Organization: Helio-International Sector: Energy Topics: GHG inventory, Co-benefits assessment, - Energy Security, Pathways analysis Resource Type: Publications, Guide/manual Website: www.helio-international.org/uploads/Global%20Report.En.pdf?size=429055 Country: Benin, Burkina Faso, Cameroon, Democratic Republic of the Congo, Kenya, Mali, Nigeria, Senegal, Tanzania, Uganda UN Region: Middle Africa Climate-Proofing Energy Systems Screenshot References: CPES[1] Overview "This report explains why a metric for the vulnerability and resilience of energy systems is needed and proposes a methodology. It summarises anticipated climate-induced impacts on key energy systems and outlines

53

Non Annex B Countries List  

NLE Websites -- All DOE Office Websites (Extended Search)

Non Annex B Countries A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U, V, W, Y, Z A Afghanistan (1949-2007) Albania (1933-2007) Algeria (1900-2007) American Samoa (1954-2007) Angola (1950-2007) Antarctic Fisheries (1970-2007) Antigua & Barbuda (1957-2007) Argentina (1887-2007) Armenia (1992-2007) Aruba (1986-2007) Azerbaijan (1992-2007) B Bahamas (1950-2007) Bahrain (1933-2007) Bangladesh (1972-2007) Barbados (1928-2007) Belarus (1992-2007) Belize (1950-2007) Benin (1958-2007) Bermuda (1950-2007) Bhutan (1970-2007) Bolivia (1928-2007) Bosnia-Herzegovinia (1992-2007) Botswana (1950-2007) Brazil (1901-2007) British Virgin Islands (1957-2007) Brunei (Darussalam) (1930-2007) Burkina Faso (1958-2007) Burundi (1962-2007) C Cambodia (1955-2007) Cameroon (1950-2007)

54

User:GregZiebold/Developing Country Programs Map | Open Energy Information  

Open Energy Info (EERE)

Programs Map Programs Map < User:GregZiebold Jump to: navigation, search Zoom South America Central America North America Africa Central Africa Northern Africa Southern Africa Eastern Asia Southern Asia Asia/Pacific Central Asia Middle East Northern Asia Northern Europe Western Europe Southern Europe Programs & Projects Afghanistan 5 Albania 3 Algeria 6 Angola 1 Anguilla 1 Antigua and Barbuda 6 Argentina 12 Armenia 6 Aruba 3 Azerbaijan 2 Bahamas 6 Bahrain 2 Bangladesh 27 Barbados 9 Belize 8 Benin 3 Bhutan 7 Bolivia 4 Botswana 5 Brazil 37 Brunei 7 Bulgaria 2 Burkina Faso 7 Burundi 6 Cambodia 25 Cameroon 8 Cape Verde 4 Cayman Islands 1 Central African Republic 4 Chad 4 Chile 24 China 63 Colombia 26 Costa Rica 24 Croatia 1 Cuba 5 Democratic Republic of Congo 13

55

USAID West Africa Climate Program | Open Energy Information  

Open Energy Info (EERE)

West Africa Climate Program West Africa Climate Program Jump to: navigation, search Name USAID West Africa Climate Program Agency/Company /Organization U.S. Agency for International Development Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy, Forestry, Agriculture Topics Background analysis Website http://www.usaid.gov/our_work/ Country Ghana, Togo, Benin, Senegal, Niger, Nigeria, Mali, Liberia, Gambia, Ivory Coast, Burkina Faso, Sierra Leone, Mauritania, Guinea, Guinea-Bissau, Cameroon, Gabon, Equatorial Guinea, Chad, Sao Tome and Principe, Cape Verde Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Western Africa, Middle Africa, Middle Africa, Middle Africa, Middle Africa, Middle Africa, Western Africa

56

Reply to comment | OSTI, US Dept of Energy, Office of Scientific and  

Office of Scientific and Technical Information (OSTI)

Reply to comment Reply to comment Slide23 Submitted by gibsone on Fri, 2013-08-30 06:22 FY2011-hitson Slide23 Developing Country Access Afghanistan Guatemala Nigeria Albania Guinea Pakistan Algeria Guinea-Bissau Palestinian Territories (West Bank/ Gaza) Angola Guyana Papua New Guinea Armenia Haiti Paraguay Azerbaijan Honduras Peru Bangladesh Indonesia Philippines Belize Iraq Rwanda Benin Jordan Samoa Bhutan Kenya Sao Tome and Principe Bolivia Kiribati Senegal Burkina Faso Kyrgyzstan Sierra Leone Burundi Lao People's Democratic Republic Solomon Islands Cambodia Lesotho Somalia Cameroon Liberia Sri Lanka Cape Verde Macedonia, The Former Yugoslav Republic of Swaziland Central African Republic Madagascar Tajikistan Chad Malawi Tanzania, United Republic of Colombia Maldives Thailand Comoros Mali Timor-Leste

57

Property:EnergyAccessYearInitiated | Open Energy Information  

Open Energy Info (EERE)

EnergyAccessYearInitiated EnergyAccessYearInitiated Jump to: navigation, search Property Name EnergyAccessYearInitiated Property Type Date Description Year Initiated Pages using the property "EnergyAccessYearInitiated" Showing 10 pages using this property. B Benin: Increased Access to Modern Energy Project + 2009 + Burkina Faso Energy Access Project + 2007 + E Ethiopia Energy Access Project + 2005 + G Ghana Energy Development and Access Project (GEDAP) + 2007 + M Mongolia Renewable Energy and Rural Electricity Access Project + 2006 + P Papua New Guinea Improved Energy Access for Rural Communities + 2012 + R Republic of Yemen Energy Access Project + 2006 + S Sri Lanka Credit to Connect + 2011 + T Tanzania Energy Development and Access Expansion Project + 2007 + V Viet Nam Rural Electrification + 2009 +

58

Category:Countries | Open Energy Information  

Open Energy Info (EERE)

Countries Countries Jump to: navigation, search This category contains sovereign nations and uses the form Country. Pages in category "Countries" The following 200 pages are in this category, out of 211 total. (previous 200) (next 200) A Afghanistan Albania Algeria Andorra Angola Anguilla Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan B Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi C Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Colombia Comoros Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic D Democratic Republic of Congo Denmark Djibouti Dominica Dominican Republic E Ecuador Egypt El Salvador Equatorial Guinea

59

Environmental Assessment for the Construction, Operation, and Closure of the Burma Road II Borrow Pit at the Savannah River Site  

NLE Websites -- All DOE Office Websites (Extended Search)

i This page is intentionally left blank ii TABLE OF CONTENTS Page 1.0 INTRODUCTION 1 1.1 Background 1 1.2 Purpose and Need for Action 3 2.0 PROPOSED ACTION AND ALTERNATIVES 3 2.1 Proposed Action 3 2.2 Alternatives to the Proposed Action 7 2.2.1 No Action, Continue to Use Existing SRS Borrow Pits 7 2.2.2 Build the Proposed Borrow Pit at Another Onsite Location 7 2.2.3 Use Offsite Commercial Sources of Structural Fill Material 8 3.0 AFFECTED ENVIRONMENT 8 3.1 Land Use 8 3.2 Meteorology and Climatology 8 3.3 Geology and Seismology 8 3.4 Hydrology 9 3.5 Ecological and Cultural Resources 10 3.6 Radiation Environment 12 4.0 ENVIRONMENTAL CONSEQUENCES OF THE PROPOSED ACTION AND ALTERNATIVES 12 4.1 Facility Construction 12

60

Tropical Africa: Land Use, Biomass, and Carbon Estimates for 1980 (NDP-055)  

SciTech Connect

This document describes the contents of a digital database containing maximum potential aboveground biomass, land use, and estimated biomass and carbon data for 1980. The biomass data and carbon estimates are associated with woody vegetation in Tropical Africa. These data were collected to reduce the uncertainty associated with estimating historical releases of carbon from land use change. Tropical Africa is defined here as encompassing 22.7 x 10{sup 6} km{sup 2} of the earth's land surface and is comprised of countries that are located in tropical Africa (Angola, Botswana, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Congo, Benin, Equatorial Guinea, Ethiopia, Djibouti, Gabon, Gambia, Ghana, Guinea, Ivory Coast, Kenya, Liberia, Madagascar, Malawi, Mali, Mauritania, Mozambique, Namibia, Niger, Nigeria, Guinea-Bissau, Zimbabwe (Rhodesia), Rwanda, Senegal, Sierra Leone, Somalia, Sudan, Tanzania, Togo, Uganda, Burkina Faso (Upper Volta), Zaire, and Zambia). The database was developed using the GRID module in the ARC/INFO{trademark} geographic information system. Source data were obtained from the Food and Agriculture Organization (FAO), the U.S. National Geophysical Data Center, and a limited number of biomass-carbon density case studies. These data were used to derive the maximum potential and actual (ca. 1980) aboveground biomass values at regional and country levels. The land-use data provided were derived from a vegetation map originally produced for the FAO by the International Institute of Vegetation Mapping, Toulouse, France.

Brown, S.

2002-04-16T23:59:59.000Z

Note: This page contains sample records for the topic "burkina faso burma" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Per Diem (US$)/ (Akashi) 297  

E-Print Network (OSTI)

(Timika,Irian Jaya) 305 110 (Burma) (Rangoon) 117 67 (India) (Agra) 202 (Bangalore) 245 (Calautta) 268

62

NIST Global Standards Information Smart Grid  

Science Conference Proceedings (OSTI)

... Brunei Darussalam; Burma; Cambodia; China; Fiji; Hong Kong; Indonesia; Japan; ... into a far more modern system, integrating renewable sources of ...

63

NIST Global Standards Information WTO TBT Inquiry Point  

Science Conference Proceedings (OSTI)

... Brunei Darussalam; Burma; Cambodia; China; Fiji; Hong Kong; Indonesia; Japan; ... United States of America (USA/794: Renewable fuel standards (RFS ...

64

Structurally Insecure?  

Science Conference Proceedings (OSTI)

... Australia (?!), Bahrain, Burma, China, Cuba, Iran, Syria, Thailand, Turkey, UAE, USA (?!) and dozens of other countries Page 47. ...

2013-04-11T23:59:59.000Z

65

TREC-5 Interactive Track Report  

Science Conference Proceedings (OSTI)

... among Thailand, Burma, Malaysia, Pakistan and China to work ... to interdict the flow of drugs; Bolivia and ... to join forces to fight the drug cartel; and ...

66

NIST Global Standards Information WTO TBT Inquiry Point  

Science Conference Proceedings (OSTI)

... Brunei Darussalam; Burma; Cambodia; China; Fiji; Hong Kong; ... 214: Human and animal drugs (HS 3004)). The Food and Drug Administration (FDA) ...

67

Digest of United States Practice in International Law 2005 |...  

NLE Websites -- All DOE Office Websites (Extended Search)

,Brazil,Burma,Canada,"capital punishment","carriage of goods","chemical weapons",children,China,citizenship,claims,"Cold War",comity,"commercial law","conflict...

68

Digest of United States Practice in International Law 2000 |...  

NLE Websites -- All DOE Office Websites (Extended Search)

,Bosnia,Burma,Canada,"capital punishment","carriage of goods","chemical weapons",children,China,citizenship,claims,comity,compliance,conservation,constitution,consular,convention,c...

69

September Activites Calendar  

Science Conference Proceedings (OSTI)

Reticulated pythons are found in southeast Asia, Vietnam, Burma, Indonesia and Malaysia. Have a personal encounter with some of the animals from the Good...

70

EIA - International Energy Outlook 2007 - Petroleum and Other ...  

U.S. Energy Information Administration (EIA)

Exploration and test-well activity have pointed to some production potential for Bangladesh and Myanmar (formerly Burma), but significant output ...

71

Apidologie 34 (2003) 513524 INRA/DIB-AGIB/ EDP Sciences, 2003  

E-Print Network (OSTI)

.laboriosaF.Smith(Aggarwal, 1988). The distribution of T. clareae includes India, Pakistan, Philippines, Nepal and Burma whereas T to be developed. The nuclear rRNA

Recanati, Catherine

72

Newsletter Signup Form  

NLE Websites -- All DOE Office Websites (Extended Search)

EETD NEWSLETTER - MANAGE SUBSCRIPTIONS EETD NEWSLETTER - MANAGE SUBSCRIPTIONS (red fields are required) Manage subscriptions: Subscribe Unsubscribe Name E-Mail Affiliation Address Address (line 2) City State/Province Zip/Postal Code Country (please select a country) none Afghanistan Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegowina Botswana Bouvet Island Brazil British Indian Ocean Territory Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Congo, the Democratic Republic of the Cook Islands Costa Rica Cote d'Ivoire Croatia (Hrvatska) Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands (Malvinas) Faroe Islands Fiji Finland France France, Metropolitan French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guinea Guinea-Bissau Guyana Haiti Heard and Mc Donald Islands Holy See (Vatican City State) Honduras Hong Kong Hungary Iceland India Indonesia Iran (Islamic Republic of) Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, Democratic People's Republic of Korea, Republic of Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Macau Macedonia, The Former Yugoslav Republic of Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia, Federated States of Moldova, Republic of Monaco Mongolia Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Northern Mariana Islands Norway Oman Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Reunion Romania Russian Federation Rwanda Saint Kitts and Nevis Saint LUCIA Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Seychelles Sierra Leone Singapore Slovakia (Slovak Republic) Slovenia Solomon Islands Somalia South Africa South Georgia and the South Sandwich Islands Spain Sri Lanka St. Helena St. Pierre and Miquelon Sudan Suriname Svalbard and Jan Mayen Islands Swaziland Sweden Switzerland Syrian Arab Republic Taiwan, Province of China Tajikistan Tanzania, United Republic of Thailand Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States United States Minor Outlying Islands Uruguay Uzbekistan Vanuatu Venezuela Viet Nam Virgin Islands (British) Virgin Islands (U.S.) Wallis and Futuna Islands Western Sahara Yemen Yugoslavia Zambia Zimbabwe

73

Web Site: www.undp.org/poverty  

E-Print Network (OSTI)

works of the authors are greatly appreciated. Case studies were prepared by the following authors: Kenya case study by Bhola Shrestha (GTieA); Burkina

unknown authors

2012-01-01T23:59:59.000Z

74

UNITED STATES DEPARTMENT OF COMMERCE  

E-Print Network (OSTI)

/PACIFIC OCEAN India Australia Indonesia American Samoa (US) Burma Japan Philippines Trust Territories (US) China plants (50 to 100 MWe-net) for the larger communities in Oahu (~ 800,000 residents), Kauai, Maui

75

Microsoft Word - KCP Contract Mod M120.doc  

National Nuclear Security Administration (NNSA)

involving Cuba, Iran, and Sudan are prohibited, as are most imports from Burma or North Korea, into the United States or its outlying areas. Lists of entities and individuals...

76

Congratulations!2010KaIpuKukuiFellows 2010 Graduation  

E-Print Network (OSTI)

are summarized in the Appendix. #12;2 OTC 21016 100 MW floating plants for the larger communities in Oahu, Kauai ____________________________________________________________________________________________________ INDIAN/PACIFIC OCEAN India Australia Indonesia American Samoa Burma Japan Philippines Northern Marianas encompassing per capita consumption in developing countries like the Philippines. In addition, the OC

Olsen, Stephen L.

77

Submitted/KU Memorial Unions An artist's rendering shows sketches for an expanded Underground at Wescoe Hall, which will include  

E-Print Network (OSTI)

China and Burma to supply fuel for long-range bombers. He resumed work for Standard Oil after the war." The Spahrs' gift builds momentum for the school's Building on Excellence Initiative. Designed to help fuel health inurance surcharge Gov. Sam Brownback has vetoed a surcharge on state employee health insurance

Peterson, Blake R.

78

CRC handbook of agricultural energy potential of developing countries. Volume I  

Science Conference Proceedings (OSTI)

The contents of this book are: Introduction, Argentina, Bangladesh, Benin, Bolivia, Botswana, Bourkina (Upper Volta), Brazil, Burma, Burundi, Cameroon, Chad, Chile, Columbia, Costa Rica, Djibouti, Dominican Republic, Ecuador, El Salvador, Ethiopia, French Guiana, Gambia, Ghana, Guatemala, Guinea, Guyana, Haiti, Honduras, India, Indonesia, Jamaica, Appendix I. Conventional and Energetic Yields, Appendix II, Phytomass Files, and References.

Duke, J.A.

1986-01-01T23:59:59.000Z

79

Cecil H. & Ida M. Green Institute of Geophysics & Planetary Physics scripps institution of oceanography, university of california, san diego  

E-Print Network (OSTI)

1 13 7 1 5 Mineral & Energy Economics 73 14 57 2 41 11 13 18 Electrical Engineering & Computer Economics and Business 8 30 7 19 5 2 11 Mineral & Energy Economics 44 26 3 15 5 1 9 Operations Research Japan 10 0 10 7 0 7 Spain 2 0 2 3 2 1 Burma 1 0 1 0 0 0 Jordan 0 0 0 0 0 0 Sri Lanka 1 0 1 1 0 1

Constable, Steve

80

Federal Acquisition Circular 2005-36  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Federal Acquisition Circular 2005-36 Federal Acquisition Circular 2005-36 Item Subject FAR case I.............. Federal Technical Data Solution (FedTeDS) 2008-038 II............. Fair Labor Standards Act and Service Contract 2007-021 Act Price Adjustment Clauses. III............ New Designated Country-Taiwan 2009-014 IV............. Prohibition on Restricted Business Operations 2008-004 in Sudan and Imports from Burma. V.............. List of Approved Attorneys, Abstractors, and 2006-013 Title Companies. VI............. Cost Accounting Standards (CAS) 2007-002 Administration and Associated Federal Acquisition Regulation Clauses. VII............ Technical Amendments

Note: This page contains sample records for the topic "burkina faso burma" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Peoples, Homelands, and Wars? Ethnicity, the Military, and Battle among British Imperial Forces in the War against Japan  

E-Print Network (OSTI)

tarak barkawi 26 Peter Gadsdon, An Amateur at War, unpublished ms., p. 29. 27 Bruce Lincoln, Discourse and the Construction of Society (Oxford: Oxford University Press, 1989), p. 88. 28 Rosen, Societies and Military Power. See also Alon Peled, A Question... of the class organization of the army was the reinforcement of ethnic difference. Peter Gadsdon, a wartime officer in 4/14th Punjab, new to the Indian Army, learned about the foibles of each class while his battalion trained for service in Burma: A Company...

Barkawi, Tarak

2004-04-08T23:59:59.000Z

82

Categorical Exclusion Determinations: Environmental Management | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

31, 2011 31, 2011 CX-005801: Categorical Exclusion Determination Polymer Synthesis, Corrosion, and Electrochemical Tests in Lab D-0115 CX(s) Applied: B3.6 Date: 03/31/2011 Location(s): Aiken, South Carolina Office(s): Environmental Management, Savannah River Operations Office March 30, 2011 CX-005805: Categorical Exclusion Determination Vegetative Response to Metal Exposure in a Growing Media CX(s) Applied: B3.6 Date: 03/30/2011 Location(s): Aiken, South Carolina Office(s): Environmental Management, Savannah River Operations Office March 29, 2011 CX-005822: Categorical Exclusion Determination Fire Department Personnel to Flush Hydrants and Prove Curb Valves in Forestry and Burma Road CX(s) Applied: B1.3 Date: 03/29/2011 Location(s): Aiken, South Carolina Office(s): Environmental Management, Savannah River Operations Office

83

CX-000512: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Categorical Exclusion Determination 2: Categorical Exclusion Determination CX-000512: Categorical Exclusion Determination Tree Removal and Chipping at P-Area Ash Basin and R-Area Ash Basin and P-007 Outfall Date: 08/05/2009 Location(s): Aiken, South Carolina Office(s): Environmental Management, Savannah River Operations Office Remove all trees and vegetation within the clearing limits of the P-Area Ash Basin (including the P-007 Outfall) and the R-Area Ash Basin. The trees and vegetation at the two ash basins will be chipped and transferred to the A-Area Powerhouse. The trees and vegetation at the P-007 Outfall will remain inside the P-007 Outfall area. Haul approximately 450,000 cubic yards grading fill from Burma Road, stockpile in P and R Areas to be used as grading fill. DOCUMENT(S) AVAILABLE FOR DOWNLOAD

84

Total Crude Oil and Products Imports from All Countries  

Gasoline and Diesel Fuel Update (EIA)

Country: All Countries Persian Gulf OPEC Algeria Angola Ecuador Iraq Kuwait Libya Nigeria Qatar Saudi Arabia United Arab Emirates Venezuela Non OPEC Albania Argentina Aruba Australia Austria Azerbaijan Bahamas Bahrain Barbados Belarus Belgium Belize Benin Bolivia Brazil Brunei Bulgaria Burma Cameroon Canada Chad Chile China Colombia Congo (Brazzaville) Congo (Kinshasa) Cook Islands Costa Rica Croatia Cyprus Czech Republic Denmark Dominican Republic Egypt El Salvador Equatorial Guinea Estonia Finland France Gabon Georgia, Republic of Germany Ghana Gibralter Greece Guatemala Guinea Hong Kong Hungary India Indonesia Ireland Israel Italy Ivory Coast Jamaica Japan Kazakhstan Korea, South Kyrgyzstan Latvia Liberia Lithuania Malaysia Malta Mauritania Mexico Midway Islands Morocco Namibia Netherlands Netherlands Antilles New Zealand Nicaragua Niue Norway Oman Pakistan Panama Papua New Guinea Peru Philippines Poland Portugal Puerto Rico Romania Russia Senegal Singapore Slovakia South Africa Spain Spratly Islands Swaziland Sweden Switzerland Syria Taiwan Thailand Togo Trinidad and Tobago Tunisia Turkey Turkmenistan Ukraine United Kingdom Uruguay Uzbekistan Vietnam Virgin Islands (U.S.) Yemen

85

NDP-30/R6 (Table 2)  

NLE Websites -- All DOE Office Websites (Extended Search)

Comprises the sum of Africa, North America, South America, Asia, Europe, Comprises the sum of Africa, North America, South America, Asia, Europe, Oceania, the former U.S.S.R., and the Antarctic Fisheries. 2 Includes Christmas Island. 3 Identifies bunkers delivered by tankers to vessels on the Antarctic fishing grounds; fuels delivered to Antarctic research stations are not included. 4 Refers to former Burma. 5 Refers to the former Democratic Kampuchea. 6 Excludes Taiwan province. 7 Includes Taiwan Province. 8 Prior to 1 January 1993, refers to the former Czechoslovakia composed of the Czech Republic and Slovakia. 9 Code used for population data only. Energy statistics for France and Monaco are combined (251). 10 From 1950 to 1958, data includes the Central African Republic, Chad, Congo, and Gabon. 11 From 1950 to 1954, data includes Cambodia, Laos, and Vietnam.

86

U.S. Department of Energy Categorical Exclusion Determination Form  

NLE Websites -- All DOE Office Websites (Extended Search)

Removal of Out-of-Service Steam Line Segment; D-Area to Ameresco Biomass Cogeneration Facility Removal of Out-of-Service Steam Line Segment; D-Area to Ameresco Biomass Cogeneration Facility Savannah River Site Aiken/Aiken/South Carolina Dismantle and removal (D&R) of the out-of-service steam distribution piping and associated components between the D-Area old perimeter fence and the Ameresco Biomass Cogeneration Facility located adjacent to Burma Road near F-Area. All components are outside of the fenced area boundaries. All insulating cover, steam lines, support attachments, and wooden pole supports will be cut as close to the ground as possible and will be removed and transported off-site for re-use or disposition. B1.23 - Demolition and disposal of buildings Andrew R. Grainger Digitally signed by Andrew R. Grainger DN: cn=Andrew R. Grainger, o=DOE-SR, ou=EQMD,

87

Historic Land Use and Carbon Estimates for South and Southeast Asia:  

NLE Websites -- All DOE Office Websites (Extended Search)

Historic Land Use and Carbon Estimates for South and Southeast Asia: Historic Land Use and Carbon Estimates for South and Southeast Asia: 1880-1980 (1994) (NDP-046) DOI: 10.3334/CDIAC/lue.ndp046 data Data PDF PDF Contributors J. F. Richards and E. P. Flint Description This data base contains estimates of land use change and the carbon content of vegetation for South and Southeast Asia for the years 1880, 1920, 1950, 1970, and 1980. These data were originally collected for climate modelers so they could reduce the uncertainty associated with the magnitude and time course of historical land use change and of carbon release. For this data base, South and Southeast Asia is defined as encompassing nearly 8 × 106 km2 of the earth's land surface and includes the countries of India, Sri Lanka, Bangladesh, Myanmar (Burma), Thailand, Laos, Kampuchea (Cambodia),

88

Oil and gas developments in Far East in 1981  

SciTech Connect

Petroleum activity throughout the Far East region was brisk during 1981. Exploration acreage acquisition, drilling, and seismic activity proceeded rapidly in all of the main producing countries. In addition, activity expanded into some hitherto relatively inactive areas such as onshore Thailand, Sri Lanka, North Vietnam, etc. Exploration drilling increased approximately 12% in 1981. Indonesia was the most active country in the Far East again in 1981. Numerous discoveries were recorded. Exploration in India started in earnest along the east coast. Burma also recorded a busy year along the Irrawaddy River. Sri Lanka experienced exploration drilling in 1981 for the first time since 1976. Onshore Thailand had a flurry of activity and provided the most significant discoveries in the Far East Region. The Philippines also had an active year and progressed rapidly with development work on 2 additional producing fields. Production from the Far East region again declined slightly to an estimated 4.4 million BOPD. With no major discoveries over the last few years, present producing fields are for the most part fully developed and on the decline. Acreage acquisition during 1981 showed a large increase in many parts of the region. Indonesia offered 9 exploration blocks. All were successfully tendered. Onshore Thailand also had intense competition for areas adjacent to oil and gas discoveries by Shell and Esso. Participation by foreign contractors in exploration and production ventures throughout the Far East region increased during 1982. Countries such as Bangladesh, Burma, India, Thailand, and Malaysia all experienced increased interest by foreign companies. On the other hand, relinquishments by contractors in Pakistan and Philippines indicated a decrease in interest in those areas. (JMT)

Fletcher, G.L.

1982-11-01T23:59:59.000Z

89

 

NLE Websites -- All DOE Office Websites (Extended Search)

Remove all trees and vegetation within the clearing limits of the P-Area Ash Basin (including the P-007 Outfall) and the R-Area Ash Basin. The trees Remove all trees and vegetation within the clearing limits of the P-Area Ash Basin (including the P-007 Outfall) and the R-Area Ash Basin. The trees and vegetation at the two Ash Basins will be chipped and transferred to the A-Area Powerhouse. The trees and vegetation at the P-007 Outfall will remain inside the P-007 Outfall area. Haul approx. 450,000 cubic yards grading fill from Burma Road, stockpile in P and R Areas to be used as grading fill. Tree Removal & Chipping at P-Area Ash Basin & R-Area Ash Basin and P-007 Outfall Savannah River Site Aiken South Carolina ARRA - G - 2009 - 036, Rev.1 8/05/09 Andrew R. Grainger Digitally signed by Andrew R. Grainger DN: CN = Andrew R. Grainger, C = US, O = DOE-SR, OU = EQMD Date: 2009.11.04 08:49:48

90

Indochina becoming prime target for foreign investment in E and D  

SciTech Connect

This paper reports that Indochina is emerging as a prime target for investment in oil and gas exploration and development. The Southeast Asian subcontinent offers sharp contrasts: the booming, market oriented economy of Thailand with its friendly climate for foreign investment, compared with the flagging socialist economies of Myanmar (formerly Burma), Cambodia, Laos, and Viet Nam. The contrast extends to the Thai energy sector as well. Aggressive development of Thailand's gas reserves with foreign assistance and capital underpins the buoyant Thai economy and has helped it reduce its dependence on imports to 40% of total energy demand. That contrast may also give impetus to a window of opportunity for oil and gas companies to participate in little tested or rank exploration plays elsewhere in the region. Except for Thailand, the region has seen little exploration and almost none by private companies since the early 1970s. The other countries are just beginning to emerge from years of international isolation caused by war or civil strife, and some are seeking foreign private investment in oil and natural gas for the first time in more than a decade. The need for hard currency capital is keen. Accordingly, industry officials point to nations such as Cambodia offering among the most attractive terms for oil and gas investment in the world.

1992-05-18T23:59:59.000Z

91

East Asia now important factor in oil world  

SciTech Connect

On one level the countries of East Asia are vital components of the global energy equation specifically in regard to oil production and are directly affected by the entire world. But equally they are independent nation states with their own particular energy characteristics, making each country worthy of specific consideration. There is not necessarily a regional dimension to every energy issue facing the countries and one must be careful to avoid facile generalizations about the region. For the purpose of this article, East Asia will be defined as Japan, the newly industrialized economies of Hong Kong, Singapore, Taiwan and South Korea; the industrializing economies of Malaysia, Thailand, Indonesia, and the Philippines, and the remainder, excluding the Indian subcontinent, but including China, Burma, and Viet Nam. Together these countries contain some one third of the world's population and produce around a fifth of the world gross domestic product (GDP). For the past 3 decades, they have made up the fastest growing economic region of the world. However, East Asia cannot be considered in isolation from the Middle East. No examination of any energy topic can ignore the importance of that area.

Norton, H. (BP Asia Pacific and Middle East (SG))

1991-10-21T23:59:59.000Z

92

Total All Countries Exports of Crude Oil and Petroleum Products by  

U.S. Energy Information Administration (EIA) Indexed Site

Destination: Total All Countries Afghanistan Albania Algeria Andora Angola Anguilla Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahama Islands Bahrain Barbados Belarus Belgium Belize Benin Bolivia Bosnia and Herzegovina Brazil Brunei Bulgaria Burma Bermuda Cambodia Cameroon Canada Cayman Islands Chad Chile China Colombia Congo (Brazzaville) Congo (Kinshasa) Costa Rica Croatia Cyprus Czech Republic Denmark Djbouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France French Guiana French Pacific Islands Gabon Georgia, Republic of Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guatemala Guinea Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordon Kazakhstan Kenya Korea, South Korea, North Kyrgyzstan Kutubu Kuwait Latvia Lebanon Liberia Libya Lithuania Macau S.A.R. Macedonia Madagascar Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia, Federated States of Midway Islands Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Namibia Nepal Netherlands Netherlands/Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Panama Papau New Guinea Paracel Islands Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia St. Kitts and Nevis St. Lucia St. Pierre and Miquelon St. Vincent and the Grenadines Samoa San Marino Saudi Arabia Senegal Serbia and Montenegro Seychelles Sierra Leone Singapore Slovakia Slovenia Soloman Islands South Africa Spain Spratly Islands Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tanzania Thailand Tonga Togo Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Uganda Ukraine United Arab Emirates United Kingdom Uruguay Uzbekistan Vanuatu Venezuela Vietnam Virgin Islands (British) Virgin Islands (U.S.) Yemen Yugoslavia Zambia Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day

93

Simulation of the northern summer monsoon in the ECMWF model: Sensitivity to horizontal resolution  

SciTech Connect

The ability of the ECMWF model (cycle 33) to simulate the Indian and East Asian summer monsoons is evaluated at four different horizontal resolutions: T21, T42, T63, and T106. Generally, with respect to the large-scale features of the circulation, the largest differences among the simulations occur at T42 relative to T21. However, on regional scales, important differences among the high-frequency temporal variability serve as a further critical test of the model`s ability to simulate the monsoon. T106 best captures both the spatial and temporal characteristics of the Indian and East Asian monsoons, whereas T42 fails to correctly simulate the sequence and development of synoptic-scale milestones that characterize the monsoon flow. In particular, T106 is superior at simulating the development and migration of the monsoon trough over the Bay of Bengal. In the T42 simulation, the development of the monsoon occurs one month earlier than typically observed. At this time the trough is incorrectly located adjacent to the east coast of India, which results in an underestimate of precipitation over the Burma-Thailand region. This early establishment of the monsoon trough affects the evolution of the East Asian monsoon and yields excessive preseason rainfall over the Mei-yu-region. EOF analysis of precipitation over China indicates that T106 best simulates the Mei-yu mode of variability, which is associated with an oscillation of the rainband that gives rise to periods of Mei-yu mode of variability, which is associated with an oscillation of the rainband that gives rise to periods of enhanced rainfall over the Yangtze River valley. The coarse resolution of T21 precludes simulation of the aforementioned regional-scale monsoon flows. 43 refs., 14 figs.

Sperber, K.R.; Potter, G.L.; Boyle, J.S. [Lawrence Livermore National Lab., Livermore, CA (United States); Hameed, S. [State Univ. of New York, Stony Brook, NY (United States)

1994-11-01T23:59:59.000Z

94

Historic land use and carbon estimates for South and Southeast Asia: 1880--1980  

SciTech Connect

This document describes the contents of a digital data base containing estimates of land use change and the carbon content of vegetation for South and Southeast Asia for the years 1880, 1920, 1950, 1970, and 1980. These data were originally collected for climate modelers, so they could reduce the uncertainty associated with the magnitude and time course of historical land use change and of carbon release. For this data base, South and Southeast Asia is defined as the countries of India, Sri Lanka, Bangladesh, Myanmar (Burma), Thailand, Laos, Kampuchea (Cambodia), Vietnam, Malaysia, Brunei, Singapore, Indonesia, and the Philippines. The most important change in land use over the 100 year period was the conversion of 107 {times} 10{sup 6} ha of forest/woodland to categories with lower biomass. Land thus transformed accounted for 13.5% of the total area of the study region. The estimated total carbon content of live vegetation in South and Southeast Asia has dropped progressively, from 59 {times} 10{sup 9} Mg in 1880 to 27 {times} 10{sup 9} Mg in 1980. Throughout the study period the carbon stock in forests was greater than the carbon content in all other categories combined, although its share of the total declined progressively from 81% in 1880 to 73% in 1980. The data base itself was developed in Lotus 1-2-3{trademark} using a sequential bookkeeping model. The source data were obtained at the local and regional level for each country from official agricultural and economic statistics from historical geographic and demographic texts, reports, and articles; and from any other available source. Because of boundary changes through time and disparities between the validity, availability, and scale of the data for each country, the data were aggregated into 94 ecological zones. The resulting data base contains land use and carbon information for 94 ecological zones and national totals for 13 countries.

Daniels, R.C. [ed.] [Oak Ridge National Lab., TN (United States). Carbon Dioxide Information Analysis Center]|[Univ. of Tennessee, Knoxville, TN (United States). Energy, Environment and Resources Center; Richards, J.F.; Flint, E.P. [Duke Univ., Durham, NC (United States). Dept. of History

1994-01-01T23:59:59.000Z

95

Simulation of the Indian and East-Asian summer monsoon in the ECMWF model: Sensitivity to horizontal resolution  

SciTech Connect

The ability of the ECMWF model (Cycle 33) to simulate the Indian and East Asian summer monsoon is evaluated at four different horizontal resolutions: T21, T42, T63, and T106. Generally, with respect to the large scale features of the circulation, the largest differences among the simulations occur at T42 relative to T21. However, on regional scales, important differences among the high frequency temporal variabilitY serve as a further critical test of the model`s ability to simulate the monsoon. More generally, the results indicate the importance of evaluating high frequency time scales as a component of the climate system. T106 best captures both the spatial and temporal characteristics of the Indian and East Asian Monsoon, while T42 fails to correctly simulate the sequence and development of synoptic scale milestones that characterize the monsoon flow. In particular, T106 is superior at simulating the development and migration of the monsoon trough over the Bay of Bengal. In the T42 simulation, the development of the monsoon occurs one month earlier than typically observed. At this time the trough is incorrectly located adjacent to the east coast of India which results in an underestimate of precipitation over the Burma/Thailand region. This early establishment of the monsoon trough affects the evolution of the East-Asian monsoon and yields excessive preseason rainfall over the Mei-yu region. EOF analysis of precipitation over China indicates that T106 best simulates the Mei-yu mode of variability associated with an oscillation of the rainband that gives rise to periods of enhanced rainfall over the Yangize River Valley. The coarse resolution of T21 precludes simulation of the aforementioned regional scale monsoon flows.

Sperber, K.R.; Potter, G.L.; Boyle, J.S. [Lawrence Livermore National Lab., CA (United States); Hameed, S. [State Univ. of New York, Stony Brook, NY (United States). Inst. for Terrestrial and Planetary Atmospheres

1993-11-01T23:59:59.000Z

96

Total Net Imports of Crude Oil and Petroleum Products into the U.S.  

U.S. Energy Information Administration (EIA) Indexed Site

Country: Total All Countries Persian Gulf OPEC Algeria Angola Ecuador Iran Iraq Kuwait Libya Nigeria Qatar Saudi Arabia United Arab Emirates Venezuela Non OPEC Afghanistan Albania Andora Anguilla Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bolivia Bosnia and Herzegovina Brazil Brunei Bulgaria Burma Cambodia Cameroon Canada Cayman Islands Chad Chile China Colombia Congo (Brazzaville) Congo (Kinshasa) Cook Islands Costa Rica Croatia Cyprus Czech Republic Denmark Djbouti Dominica Dominican Republic Egypt El Salvador Equatorial Guinea Ethiopia Eritrea Estonia Fiji Finland France French Pacific Islands French Guiana Gabon Georgia, Republic of Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guatemala Guinea Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Korea, South Kutubu Kyrgyzstan Latvia Lebanon Liberia Lithuania Macau S.A.R. Macedonia Madagascar Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia, Federated States of Midway Islands Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Namibia Nepal Netherlands Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Niue Norway Oman Pakistan Panama Papau New Guinea Paracel Islands Paraguay Peru Philippines Poland Portugal Puerto Rico Romania Russia St. Kitts and Nevis St. Lucia St. Pierre and Miquelon St. Vincent and the Grenadines Samoa San Marino Senegal Serbia and Montenegro Sierra Leone Singapore Slovakia Slovenia South Africa Spain Spratly Islands Sri Lanka Suriname Swaziland Sweden Switzerland Syria Taiwan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Uganda Ukraine United Kingdom Uruguay Uzbekistan Vanuatu Vietnam Virgin Islands (British) Virgin Islands (U.S.) Yemen Yugoslavia Other Non OPEC Period-Unit: Monthly-Thousand Barrels per Day Annual-Thousand Barrels per Day

97

Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests: A Database  

DOE Green Energy (OSTI)

A database was generated of estimates of geographically referenced carbon densities of forest vegetation in tropical Southeast Asia for 1980. A geographic information system (GIS) was used to incorporate spatial databases of climatic, edaphic, and geomorphological indices and vegetation to estimate potential (i.e., in the absence of human intervention and natural disturbance) carbon densities of forests. The resulting map was then modified to estimate actual 1980 carbon density as a function of population density and climatic zone. The database covers the following 13 countries: Bangladesh, Brunei, Cambodia (Campuchea), India, Indonesia, Laos, Malaysia, Myanmar (Burma), Nepal, the Philippines, Sri Lanka, Thailand, and Vietnam. The data sets within this database are provided in three file formats: ARC/INFO{trademark} exported integer grids, ASCII (American Standard Code for Information Interchange) files formatted for raster-based GIS software packages, and generic ASCII files with x, y coordinates for use with non-GIS software packages. This database includes ten ARC/INFO exported integer grid files (five with the pixel size 3.75 km x 3.75 km and five with the pixel size 0.25 degree longitude x 0.25 degree latitude) and 27 ASCII files. The first ASCII file contains the documentation associated with this database. Twenty-four of the ASCII files were generated by means of the ARC/INFO GRIDASCII command and can be used by most raster-based GIS software packages. The 24 files can be subdivided into two groups of 12 files each. These files contain real data values representing actual carbon and potential carbon density in Mg C/ha (1 megagram = 10{sup 6} grams) and integer- coded values for country name, Weck's Climatic Index, ecofloristic zone, elevation, forest or non-forest designation, population density, mean annual precipitation, slope, soil texture, and vegetation classification. One set of 12 files contains these data at a spatial resolution of 3.75 km, whereas the other set of 12 files has a spatial resolution of 0.25 degree. The remaining two ASCII data files combine all of the data from the 24 ASCII data files into 2 single generic data files. The first file has a spatial resolution of 3.75 km, and the second has a resolution of 0.25 degree. Both files also provide a grid-cell identification number and the longitude and latitude of the centerpoint of each grid cell. The 3.75-km data in this numeric data package yield an actual total carbon estimate of 42.1 Pg (1 petagram = 10{sup 15} grams) and a potential carbon estimate of 73.6 Pg; whereas the 0.25-degree data produced an actual total carbon estimate of 41.8 Pg and a total potential carbon estimate of 73.9 Pg. Fortran and SASTM access codes are provided to read the ASCII data files, and ARC/INFO and ARCVIEW command syntax are provided to import the ARC/INFO exported integer grid files. The data files and this documentation are available without charge on a variety of media and via the Internet from the Carbon Dioxide Information Analysis Center (CDIAC).

Brown, S.

2002-02-07T23:59:59.000Z

98

Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests: A Database  

DOE Green Energy (OSTI)

A database was generated of estimates of geographically referenced carbon densities of forest vegetation in tropical Southeast Asia for 1980. A geographic information system (GIS) was used to incorporate spatial databases of climatic, edaphic, and geomorphological indices and vegetation to estimate potential (i.e., in the absence of human intervention and natural disturbance) carbon densities of forests. The resulting map was then modified to estimate actual 1980 carbon density as a function of population density and climatic zone. The database covers the following 13 countries: Bangladesh, Brunei, Cambodia (Campuchea), India, Indonesia, Laos, Malaysia, Myanmar (Burma), Nepal, the Philippines, Sri Lanka, Thailand, and Vietnam. The data sets within this database are provided in three file formats: ARC/INFOTM exported integer grids, ASCII (American Standard Code for Information Interchange) files formatted for raster-based GIS software packages, and generic ASCII files with x, y coordinates for use with non-GIS software packages. This database includes ten ARC/INFO exported integer grid files (five with the pixel size 3.75 km x 3.75 km and five with the pixel size 0.25 degree longitude x 0.25 degree latitude) and 27 ASCII files. The first ASCII file contains the documentation associated with this database. Twenty-four of the ASCII files were generated by means of the ARC/INFO GRIDASCII command and can be used by most raster-based GIS software packages. The 24 files can be subdivided into two groups of 12 files each. These files contain real data values representing actual carbon and potential carbon density in Mg C/ha (1 megagram = 10{sup 6} grams) and integer-coded values for country name, Weck's Climatic Index, ecofloristic zone, elevation, forest or non-forest designation, population density, mean annual precipitation, slope, soil texture, and vegetation classification. One set of 12 files contains these data at a spatial resolution of 3.75 km, whereas the other set of 12 files has a spatial resolution of 0.25 degree. The remaining two ASCII data files combine all of the data from the 24 ASCII data files into 2 single generic data files. The first file has a spatial resolution of 3.75 km, and the second has a resolution of 0.25 degree. Both files also provide a grid-cell identification number and the longitude and latitude of the center-point of each grid cell. The 3.75-km data in this numeric data package yield an actual total carbon estimate of 42.1 Pg (1 petagram = 10{sup 15} grams) and a potential carbon estimate of 73.6 Pg; whereas the 0.25-degree data produced an actual total carbon estimate of 41.8 Pg and a total potential carbon estimate of 73.9 Pg. Fortran and SAS{trademark} access codes are provided to read the ASCII data files, and ARC/INFO and ARCVIEW command syntax are provided to import the ARC/INFO exported integer grid files. The data files and this documentation are available without charge on a variety of media and via the Internet from the Carbon Dioxide Information Analysis Center (CDIAC).

Brown, S

2001-05-22T23:59:59.000Z

99

Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests: A Database  

SciTech Connect

A database was generated of estimates of geographically referenced carbon densities of forest vegetation in tropical Southeast Asia for 1980. A geographic information system (GIS) was used to incorporate spatial databases of climatic, edaphic, and geomorphological indices and vegetation to estimate potential (i.e., in the absence of human intervention and natural disturbance) carbon densities of forests. The resulting map was then modified to estimate actual 1980 carbon density as a function of population density and climatic zone. The database covers the following 13 countries: Bangladesh, Brunei, Cambodia (Campuchea), India, Indonesia, Laos, Malaysia, Myanmar (Burma), Nepal, the Philippines, Sri Lanka, Thailand, and Vietnam. The data sets within this database are provided in three file formats: ARC/INFOTM exported integer grids, ASCII (American Standard Code for Information Interchange) files formatted for raster-based GIS software packages, and generic ASCII files with x, y coordinates for use with non-GIS software packages. This database includes ten ARC/INFO exported integer grid files (five with the pixel size 3.75 km x 3.75 km and five with the pixel size 0.25 degree longitude x 0.25 degree latitude) and 27 ASCII files. The first ASCII file contains the documentation associated with this database. Twenty-four of the ASCII files were generated by means of the ARC/INFO GRIDASCII command and can be used by most raster-based GIS software packages. The 24 files can be subdivided into two groups of 12 files each. These files contain real data values representing actual carbon and potential carbon density in Mg C/ha (1 megagram = 10{sup 6} grams) and integer-coded values for country name, Weck's Climatic Index, ecofloristic zone, elevation, forest or non-forest designation, population density, mean annual precipitation, slope, soil texture, and vegetation classification. One set of 12 files contains these data at a spatial resolution of 3.75 km, whereas the other set of 12 files has a spatial resolution of 0.25 degree. The remaining two ASCII data files combine all of the data from the 24 ASCII data files into 2 single generic data files. The first file has a spatial resolution of 3.75 km, and the second has a resolution of 0.25 degree. Both files also provide a grid-cell identification number and the longitude and latitude of the center-point of each grid cell. The 3.75-km data in this numeric data package yield an actual total carbon estimate of 42.1 Pg (1 petagram = 10{sup 15} grams) and a potential carbon estimate of 73.6 Pg; whereas the 0.25-degree data produced an actual total carbon estimate of 41.8 Pg and a total potential carbon estimate of 73.9 Pg. Fortran and SAS{trademark} access codes are provided to read the ASCII data files, and ARC/INFO and ARCVIEW command syntax are provided to import the ARC/INFO exported integer grid files. The data files and this documentation are available without charge on a variety of media and via the Internet from the Carbon Dioxide Information Analysis Center (CDIAC).

Brown, S

2001-05-22T23:59:59.000Z

100

Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests: A Database  

SciTech Connect

A database was generated of estimates of geographically referenced carbon densities of forest vegetation in tropical Southeast Asia for 1980. A geographic information system (GIS) was used to incorporate spatial databases of climatic, edaphic, and geomorphological indices and vegetation to estimate potential (i.e., in the absence of human intervention and natural disturbance) carbon densities of forests. The resulting map was then modified to estimate actual 1980 carbon density as a function of population density and climatic zone. The database covers the following 13 countries: Bangladesh, Brunei, Cambodia (Campuchea), India, Indonesia, Laos, Malaysia, Myanmar (Burma), Nepal, the Philippines, Sri Lanka, Thailand, and Vietnam. The data sets within this database are provided in three file formats: ARC/INFO{trademark} exported integer grids, ASCII (American Standard Code for Information Interchange) files formatted for raster-based GIS software packages, and generic ASCII files with x, y coordinates for use with non-GIS software packages. This database includes ten ARC/INFO exported integer grid files (five with the pixel size 3.75 km x 3.75 km and five with the pixel size 0.25 degree longitude x 0.25 degree latitude) and 27 ASCII files. The first ASCII file contains the documentation associated with this database. Twenty-four of the ASCII files were generated by means of the ARC/INFO GRIDASCII command and can be used by most raster-based GIS software packages. The 24 files can be subdivided into two groups of 12 files each. These files contain real data values representing actual carbon and potential carbon density in Mg C/ha (1 megagram = 10{sup 6} grams) and integer- coded values for country name, Weck's Climatic Index, ecofloristic zone, elevation, forest or non-forest designation, population density, mean annual precipitation, slope, soil texture, and vegetation classification. One set of 12 files contains these data at a spatial resolution of 3.75 km, whereas the other set of 12 files has a spatial resolution of 0.25 degree. The remaining two ASCII data files combine all of the data from the 24 ASCII data files into 2 single generic data files. The first file has a spatial resolution of 3.75 km, and the second has a resolution of 0.25 degree. Both files also provide a grid-cell identification number and the longitude and latitude of the centerpoint of each grid cell. The 3.75-km data in this numeric data package yield an actual total carbon estimate of 42.1 Pg (1 petagram = 10{sup 15} grams) and a potential carbon estimate of 73.6 Pg; whereas the 0.25-degree data produced an actual total carbon estimate of 41.8 Pg and a total potential carbon estimate of 73.9 Pg. Fortran and SASTM access codes are provided to read the ASCII data files, and ARC/INFO and ARCVIEW command syntax are provided to import the ARC/INFO exported integer grid files. The data files and this documentation are available without charge on a variety of media and via the Internet from the Carbon Dioxide Information Analysis Center (CDIAC).

Brown, S.

2002-02-07T23:59:59.000Z