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Sample records for burma myanmar burundi

  1. Burundi: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Country Profile Name Burundi Population 8,053,574 GDP 3,037,000,000 Energy Consumption 0.01 Quadrillion Btu 2-letter ISO code BI 3-letter ISO code BDI Numeric ISO...

  2. Burundi-National Adaptation Plan of Action to Climate Change...

    Open Energy Info (EERE)

    National Adaptation Plan of Action to Climate Change Jump to: navigation, search Name Burundi-National Adaptation Plan of Action to Climate Change AgencyCompany Organization...

  3. Myanmar: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Country Profile Name Myanmar Population Unavailable GDP Unavailable Energy Consumption Quadrillion Btu 2-letter ISO code MM 3-letter ISO code MMR Numeric ISO code...

  4. Status of U.S. Nuclear Outages - U.S. Energy Information Administration

    Gasoline and Diesel Fuel Update (EIA)

    (EIA) R Give Us Your Feedback We welcome your feedback and insights on this project. Your Country: United States Afghanistan Albania Algeria American Samoa Angola Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas, The Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burma (Myanmar) Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central

  5. Eia.gov BETA - U.S. Energy Information Administration (EIA) - U.S. Energy

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) N Give Us Your Feedback We welcome your feedback and insights on this project. Your Country: United States Afghanistan Albania Algeria American Samoa Angola Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas, The Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burma (Myanmar) Burundi Cambodia Cameroon Canada Cape Verde

  6. Myanmar-Sub National Planning for Climate Change (cities, states...

    Open Energy Info (EERE)

    Climate Change (cities, states, districts) Jump to: navigation, search Name Myanmar-Sub National Planning for Climate Change (cities, states, districts) AgencyCompany...

  7. This Week In Petroleum Printer-Friendly Version

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    outweigh the benefits, especially for net oil importers. In Bangladesh, Brazil, Brunei, India, Indonesia, Jordan, Malaysia, Burma (Myanmar), Pakistan, South Africa, Sri Lanka,...

  8. Superfund record of decision (EPA Region 4): Savannah River Site (USDOE), Burma Road Rubble Pit (operable unit 32), Aiken, SC, June 18, 1996.

    SciTech Connect (OSTI)

    1996-08-01

    The Burma Road Rubble Pit (BRRP) unit (231-4F) is listed as a Resource Conservation and Recovery Act (RCRA) 3004(u) solid waste management unit/Comprehensive Environmental Response, Compensatin and Liability Act (CERCLA) unit in Appendix C of the Federal Facility Agreement (FFA) for the Savannah River Site. Only non-hazardous, inert material (e.g., wood, trash, wire, bottles, plastic, rubble, foam, concrete, etc.) was placed at the BRRP source unit. Based on the results of the remedial investigation, no action is necessary at the BRRP unit soils to ensure the protection of human health and the environment.

  9. Burundi-Nationally Appropriate Mitigation Actions (NAMAs) in...

    Open Energy Info (EERE)

    Appropriate Mitigation Actions (NAMAs) in the Congo Basin AgencyCompany Organization Environment Canada, International Institute for Sustainable Development (IISD) Sector...

  10. Myanmar-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    Open Energy Info (EERE)

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  11. Microsoft Word - TOC Section I Conformed thru Mod 274.docx

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nicaragua, or Singapore); (3) A least developed country (Afghanistan, Angola, Bangladesh, Benin, Bhutan, Burkina Faso, Burundi, Cambodia, Cape Verde, Central African...

  12. African Development Bank | Open Energy Information

    Open Energy Info (EERE)

    field and country offices across the continent." Shareholders Regional Members Algeria Angola Benin Botswana Burkina Faso Burundi Cameroon Cape Verde Central African Republic Chad...

  13. National Action Programmes on Desertification | Open Energy Informatio...

    Open Energy Info (EERE)

    Faso, Burundi, Cameroon, Cape Verde, Chad, Democratic Republic of Congo, Djibouti, Egypt, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Lesotho,...

  14. Microsoft PowerPoint - 1_Cruz_Import Export_NMMSS 2013 Presentation...

    National Nuclear Security Administration (NNSA)

    to restricted destinations - a specific license may be required: Afghanistan Andorra Angola Burma Djibouti India Israel Libya Pakistan South Sudan 12 Nameaddress of...

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

    SciTech Connect (OSTI)

    Brown, S.

    2002-02-07

    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).

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

    SciTech Connect (OSTI)

    Brown, S

    2001-05-22

    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).

  17. CX-005822: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Fire Department Personnel to Flush Hydrants and Prove Curb Valves in Forestry and Burma RoadCX(s) Applied: B1.3Date: 03/29/2011Location(s): Aiken, South CarolinaOffice(s): Environmental Management, Savannah River Operations Office

  18. Total All Countries Exports of Crude Oil and Petroleum Products by

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

    Destination Destination: Total All Countries Afghanistan Albania Algeria Andora Angola Anguilla Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bangladesh Bahama Islands Bahrain Barbados Belarus Belgium Belize Benin Bolivia Bosnia and Herzegovina Brazil Brunei Bulgaria Burkina Faso Burma Bermuda Cambodia Cameroon Canada Cayman Islands Chad Chile China Cocos (Keeling) Islands Colombia Congo (Brazzaville) Congo (Kinshasa) Costa Rica Croatia Cyprus Czech Republic

  19. National Nuclear Security Administration ENERGY U.S. DEPARTMENT OF

    National Nuclear Security Administration (NNSA)

    Operating Efficiently / Engaging Globally FY 2013 Annual Report Table of Contents 1 Operating Efficiently / Engaging Globally 2 Office of Nonproliferation and International Security 4 Office of Nuclear Safeguards and Security 5 Next Generations Safeguards Initiative (NGSI) 6 International Nuclear Safeguards Engagement Program (INSEP): First Engagement with Burma 7 Safeguards Technology Development 9 Safeguards Policy: IAEA Transit Matching Workshop 10 International Nuclear Security (INS) 12

  20. Total Crude Oil and Products Imports from All Countries

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

    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 Bosnia and Herzegovina 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

  1. 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 Botswana Brazil Brunei Bulgaria Burkina Faso Burma Cambodia Cameroon Canada Cayman Islands Chad Chile China Cocos (Keeling)

  2. U.S. Imports from All Countries

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

    Import Area: U.S. Period/Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day 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 Bosnia and Herzegovina Brazil Brunei Bulgaria Burma Cameroon Canada Chad Chile China

  3. SREL Reprint #3270

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    0 Development and characterization of thirty novel microsatellite markers for the critically endangered Myanmar Roofed Turtle, Batagur trivittata, and cross-amplification in the Painted River Terrapin, B. borneoensis, and the Southern River Terrapin, B. affinis, using paired-end Illumina shotgun sequencing Cara N. Love1, Cris Hagen1, Brian D. Horne2, Kenneth L. Jones3, and Stacey L. Lance1 1Savannah River Ecology Laboratory, University of Georgia, Drawer E, Aiken, SC 29802, USA 2Wildlife

  4. CO2 Supermarket Refrigeration Systems for Southeast Asia and the USA

    SciTech Connect (OSTI)

    Sharma, Vishaldeep; Fricke, Brian A; Bansal, Pradeep

    2014-01-01

    This paper presents a comparative analysis of the annual energy consumption of these refrigeration systems in eighty eight cities from all climate zones in Southeast Asia. Also, the performance of the CO2 refrigeration systems is compared to the baseline R404A multiplex direct expansion (DX) system. Finally, the overall performance of the CO2 refrigeration systems in various climatic conditions in Southeast Asia is compared to that in the United States. For the refrigeration systems investigated, it was found that the Transcritical Booster System with Bypass Compressor (TBS-BC) performs better or equivalent to the R404A multiplex DX system in the northern regions of Southeast Asia (China and Japan). In the southern regions of Southeast Asia (India, Bangladesh, Burma), the R404A multiplex DX system and the Combined Secondary Cascade (CSC) system performs better than the TBS-BC.

  5. Fuel Ethanol (Renewable) Exports by Destination

    Gasoline and Diesel Fuel Update (EIA)

    Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History Total All Countries 59 39 48 58 48 63 2010-2015 Afghanistan 2010-2010 Albania 2013-2015 Angola 2011-2014 Anguilla 2010-2010 Antigua and Barbuda 2010-2015 Argentina 0 0 2010-2015 Aruba 2010-2013 Australia 0 0 0 0 2010-2015 Bahama Islands 0 0 0 0 2010-2015 Bahrain 2010-2014 Barbados 0 2010-2015 Belgium 0 0 0 0 2 2010-2015 Belize 0 0 2010-2015 Benin 2014-2014 Bolivia 2015-2015 Brazil 4 1 0 0 5 2010-2015 Bulgaria 2010-2013 Burma 2014-2014

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

    SciTech Connect (OSTI)

    Brown, S.

    2002-04-16

    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.

  7. Sources of black carbon aerosols in South Asia and surrounding regions during the Integrated Campaign for Aerosols, Gases and Radiation Budget (ICARB)

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Kumar, R.; Barth, M. C.; Nair, V. S.; Pfister, G. G.; Suresh Babu, S.; Satheesh, S. K.; Moorthy, K. Krishna; Carmichael, G. R.; Lu, Z.; Streets, D. G.

    2015-05-19

    This study examines differences in the surface black carbon (BC) aerosol loading between the Bay of Bengal (BoB) and the Arabian Sea (AS) and identifies dominant sources of BC in South Asia and surrounding regions during March–May 2006 (Integrated Campaign for Aerosols, Gases and Radiation Budget, ICARB) period. A total of 13 BC tracers are introduced in the Weather Research and Forecasting Model coupled with Chemistry to address these objectives. The model reproduced the temporal and spatial variability of BC distribution observed over the AS and the BoB during the ICARB ship cruise and captured spatial variability at the inlandmore » sites. In general, the model underestimates the observed BC mass concentrations. However, the model–observation discrepancy in this study is smaller compared to previous studies. Model results show that ICARB measurements were fairly well representative of the AS and the BoB during the pre-monsoon season. Elevated BC mass concentrations in the BoB are due to 5 times stronger influence of anthropogenic emissions on the BoB compared to the AS. Biomass burning in Burma also affects the BoB much more strongly than the AS. Results show that anthropogenic and biomass burning emissions, respectively, accounted for 60 and 37% of the average ± standard deviation (representing spatial and temporal variability) BC mass concentration (1341 ± 2353 ng m-3) in South Asia. BC emissions from residential (61%) and industrial (23%) sectors are the major anthropogenic sources, except in the Himalayas where vehicular emissions dominate. We find that regional-scale transport of anthropogenic emissions contributes up to 25% of BC mass concentrations in western and eastern India, suggesting that surface BC mass concentrations cannot be linked directly to the local emissions in different regions of South Asia.« less

  8. Sources of black carbon aerosols in South Asia and surrounding regions during the Integrated Campaign for Aerosols, Gases and Radiation Budget (ICARB)

    SciTech Connect (OSTI)

    Kumar, R.; Barth, M. C.; Nair, V. S.; Pfister, G. G.; Suresh Babu, S.; Satheesh, S. K.; Moorthy, K. Krishna; Carmichael, G. R.; Lu, Z.; Streets, D. G.

    2015-05-19

    This study examines differences in the surface black carbon (BC) aerosol loading between the Bay of Bengal (BoB) and the Arabian Sea (AS) and identifies dominant sources of BC in South Asia and surrounding regions during MarchMay 2006 (Integrated Campaign for Aerosols, Gases and Radiation Budget, ICARB) period. A total of 13 BC tracers are introduced in the Weather Research and Forecasting Model coupled with Chemistry to address these objectives. The model reproduced the temporal and spatial variability of BC distribution observed over the AS and the BoB during the ICARB ship cruise and captured spatial variability at the inland sites. In general, the model underestimates the observed BC mass concentrations. However, the modelobservation discrepancy in this study is smaller compared to previous studies. Model results show that ICARB measurements were fairly well representative of the AS and the BoB during the pre-monsoon season. Elevated BC mass concentrations in the BoB are due to 5 times stronger influence of anthropogenic emissions on the BoB compared to the AS. Biomass burning in Burma also affects the BoB much more strongly than the AS. Results show that anthropogenic and biomass burning emissions, respectively, accounted for 60 and 37% of the average standard deviation (representing spatial and temporal variability) BC mass concentration (1341 2353 ng m-3) in South Asia. BC emissions from residential (61%) and industrial (23%) sectors are the major anthropogenic sources, except in the Himalayas where vehicular emissions dominate. We find that regional-scale transport of anthropogenic emissions contributes up to 25% of BC mass concentrations in western and eastern India, suggesting that surface BC mass concentrations cannot be linked directly to the local emissions in different regions of South Asia.