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  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. Cambodia-UNEP Risoe Technology Needs Assessment Program | Open...

    Open Energy Info (EERE)

    Cambodia-UNEP Risoe Technology Needs Assessment Program Jump to: navigation, search Logo: Cambodia-UNEP Risoe-Technology Needs Assessment Program Name Cambodia-UNEP...

  4. 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...

  5. Cambodia-Pilot Program for Climate Resilience (PPCR) | Open Energy...

    Open Energy Info (EERE)

    Pilot Program for Climate Resilience (PPCR) Jump to: navigation, search Logo: Cambodia-Pilot Program for Climate Resilience (PPCR) Name Cambodia-Pilot Program for Climate...

  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. Cambodia: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Country Profile Name Cambodia Population 13,388,910 GDP 17,250,000,000 Energy Consumption 0.07 Quadrillion Btu 2-letter ISO code KH 3-letter ISO code KHM Numeric ISO...

  8. CCAP-REDD+ Design in Cambodia, Indonesia, and Mexico: Lessons...

    Open Energy Info (EERE)

    REDD+ Design in Cambodia, Indonesia, and Mexico: Lessons to Inform International REDD+ Policy Development Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CCAP-REDD+...

  9. Cambodia-Sub National Planning for Climate Change (cities, states...

    Open Energy Info (EERE)

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

  10. Cambodia-Green Growth Planning | Open Energy Information

    Open Energy Info (EERE)

    search Name Cambodia-Green Growth Planning AgencyCompany Organization Global Green Growth Institute (GGGI) Partner Korea International Cooperation Agency (KOICA)...

  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. Simulation of Canopy CO2/H2O Fluxes for a Rubber (Hevea Brasiliensis) Plantation in Central Cambodia: The Effect of the Regular Spacing of Planted Trees

    SciTech Connect (OSTI)

    Kumagai, Tomo'omi; Mudd, Ryan; Miyazawa, Yoshiyuki; Liu, Wen; Giambelluca, Thomas; Kobayashi, N.; Lim, Tiva Khan; Jomura, Mayuko; Matsumoto, Kazuho; Huang, Maoyi; Chen, Qi; Ziegler, Alan; Yin, Song

    2013-09-10

    We developed a soil-vegetation-atmosphere transfer (SVAT) model applicable to simulating CO2 and H2O fluxes from the canopies of rubber plantations, which are characterized by distinct canopy clumping produced by regular spacing of plantation trees. Rubber (Hevea brasiliensis Müll. Arg.) plantations, which are rapidly expanding into both climatically optimal and sub-optimal environments throughout mainland Southeast Asia, potentially change the partitioning of water, energy, and carbon at multiple scales, compared with traditional land covers it is replacing. Describing the biosphere-atmosphere exchange in rubber plantations via SVAT modeling is therefore essential to understanding the impacts on environmental processes. The regular spacing of plantation trees creates a peculiar canopy structure that is not well represented in most SVAT models, which generally assumes a non-uniform spacing of vegetation. Herein we develop a SVAT model applicable to rubber plantation and an evaluation method for its canopy structure, and examine how the peculiar canopy structure of rubber plantations affects canopy CO2 and H2O exchanges. Model results are compared with measurements collected at a field site in central Cambodia. Our findings suggest that it is crucial to account for intensive canopy clumping in order to reproduce observed rubber plantation fluxes. These results suggest a potentially optimal spacing of rubber trees to produce high productivity and water use efficiency.

  13. Stump the Scientist Question Form | GE Global Research

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

    Please Help Us Stump the Scientist Ask Your Question *Required fields Name* Email* School/Company* Twitter Handle Country* Select Afghanistan Albania Algeria American Samoa Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad

  14. How do rubber (Hevea brasiliensis) plantations behave under seasonal water stress in northeastern Thailand and central Cambodia?

    SciTech Connect (OSTI)

    Kumagai, Tomo'omi; Mudd, Ryan G.; Giambelluca, Thomas W.; Kobayashi, Nakako; Miyazawa, Yoshiyuki; Lim, Tiva Khan; Liu, Wen; Huang, Maoyi; Fox, Jefferson M.; Ziegler, Alan D.; Yin, Song; Mak, Sophea Veasna; Kasemsap, Poonpipope

    2015-11-01

    Plantation rubber (Hevea brasiliensis Müll. Arg.) is a viable economic resource for Southeast Asian countries. Consequently, rubber plantations are rapidly expanding into both climatically optimal and sub-optimal environments throughout mainland Southeast Asia, potentially changing the partitioning of water, energy, and carbon at multiple scales, compared with the traditional land covers they are replacing. Delineating the characteristics of biosphere-atmosphere exchange in rubber plantations is therefore important to understanding the impacts of such land use change on environmental processes. We have conducted eddy flux measurements in two rubber plantation sites: (1) Som Sanuk (SS), located northern Thailand; and (2) Cambodian Rubber Research Institute (CRRI), central Cambodia. Both sites have a distinct dry season. Measurements were made over a 3-year period. We used combination of actual evapotranspiration (ET) flux measurements and an inversed version of a simple 2-layer ET model for estimating the mean canopy stomatal conductances (gs), which is among the most effective measures for describing water and energy exchanges and tree water use characteristics. A main novelty in this analysis is that the rubber canopy conductance can be extracted from total surface conductance (including the canopy and the vegetation floor effects) and hence environmental and biological controls on rubber tree gs are explicitly compared at each site in different seasons and years. It is demonstrated how each studied rubber plantation copes with each strong seasonal drought via tree water use strategies. Potential tree water use deficit (precipitation (P) – potential evaporation (ET_POT)) for each season (i.e., December-February: DJF, March-May: MAM, June-August: JJA, and September-November: SON) revealed in which season and how the water use should be controlled. We found that in seasons when actual tree water use deficit (P – ET) was negative (i.e., DJF and MAM), the deficit was compensated by soil water from the previous season stored within the soil layer at depths of 0-2 m at the Thailand site, and at depths of 0-3 m at CRRI. Two ecophysiological parameters, the reference value of gs (gsref) and the sensitivity of gs to atmospheric demand (m), as well as their proportionality (m/gsref), were derived from the logarithmic response curve of gs to vapor pressure deficit (D) for each season and each site. At both sites, gsref and m appeared to be smaller in DJF and MAM than those in the other seasons (i.e., JJA and SON). On average in a whole year, m/gsref was less than 0.6 at SS and almost 0.6 at the CRRI site, suggesting that there was less sufficient stomatal regulation at SS, where the risk of water stress-induced hydraulic failure is low because of its high annual rainfall amount. In comparison, at CRRI where annual P – ET_POT was negative, there was stricter stomatal regulation that prevents excessive xylem cavitation. These tendencies imply that in the drier season, i.e., DJF and MAM, the rubber trees in SS and CRRI adopt the stomatal control strategy of changing gsref with reluctance and positive to change m, respectively.

  15. 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...

  16. Cambodia-Lowering Emissions in Asia's Forests (LEAF) | Open Energy...

    Open Energy Info (EERE)

    for GHG reductions, Build and institutionalize technical capacity for economic valuation of forest ecosystem services and monitoring changes in forest carbon stocks, and...

  17. Cambodia-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  18. UNDP/GEF-Cambodia-Sustainable Forest Management | Open Energy...

    Open Energy Info (EERE)

    be carried out through community forestry activities to engage rural communities in nature conservation and create markets for sustainable bio-energy technologies to help curb...

  19. Cambodia-Enhancing Capacity for Low Emission Development Strategies...

    Open Energy Info (EERE)

    in areas such as health, education, economic growth, poverty alleviation, agriculture, natural resource management, democracy, governance, human rights, and anti-trafficking in...

  20. Cambodia-Low Emissions Asian Development (LEAD) Program | Open...

    Open Energy Info (EERE)

    the growth of greenhouse gas emissions. The LEAD program supports and enhances country-led development programs, plans, and policies, and complements efforts of other...

  1. 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...

  2. Cambodia-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...

  3. 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...

  4. 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,...

  5. Asian Development Outlook 2010 | Open Energy Information

    Open Energy Info (EERE)

    Turkmenistan, Uzbekistan, China, South Korea, Mongolia, Afghanistan, Bangladesh, Bhutan, India, Maldives, Pakistan, Sri Lanka, Nepal, Cambodia, Indonesia, Malaysia, Laos, Vietnam,...

  6. 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...

  7. Status of U.S. Nuclear Outages - U.S. Energy Information Administratio...

    Gasoline and Diesel Fuel Update (EIA)

    Bahamas, The Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burma (Myanmar) ...

  8. International - U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    Bahamas, The Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burma (Myanmar) ...

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

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

    Bahamas, The Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burma (Myanmar) ...

  10. 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,...

  11. File:NREL-asia-tilt.pdf | Open Energy Information

    Open Energy Info (EERE)

    Countries Bhutan, China, Nepal, Mongolia, India, North Korea, South Korea, Vietnam, Laos, Thailand, Cambodia, Philippines, Bangladesh UN Region Southern Asia, Eastern Asia,...

  12. File:NREL-asia-dir.pdf | Open Energy Information

    Open Energy Info (EERE)

    Countries Bhutan, China, Nepal, Mongolia, India, North Korea, South Korea, Vietnam, Laos, Thailand, Cambodia, Philippines, Bangladesh UN Region Southern Asia, Eastern Asia,...

  13. File:NREL-asia-glo.pdf | Open Energy Information

    Open Energy Info (EERE)

    Countries Bhutan, China, Nepal, Mongolia, India, North Korea, South Korea, Vietnam, Laos, Thailand, Cambodia, Philippines, Bangladesh UN Region Southern Asia, Eastern Asia,...

  14. --No Title--

    Gasoline and Diesel Fuel Update (EIA)

    Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Colombia Comoros Congo (Brazzaville) Congo (Kinshasa) Cook Islands Costa Rica Cote...

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

    SciTech Connect (OSTI)

    Duke, J.A.

    1986-01-01

    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.

  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. 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).

  18. Benefits of Tropical Forest Management Under the New Climate...

    Open Energy Info (EERE)

    of Tropical Forest Management Under the New Climate Change Agreement-A Case Study in Cambodia Jump to: navigation, search Name Benefits of Tropical Forest Management Under the New...

  19. 105(scaled land 215%)7-22-05

    National Nuclear Security Administration (NNSA)

    Brazil Brunei Bulgaria Burkina Faso Cambodia Cameroon Canada Cntrl African Rep. Chad Chile China Colombia Dem. Rep. Congo Costa Rica Cote d'Ivoire Croatia Cyprus Czech Rep. Denmark ...

  20. 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.

  1. Design of a rural water provision system to decrease arsenic exposure in Bangladesh

    SciTech Connect (OSTI)

    Mathieu, Johanna

    2009-01-07

    Researchers at the Lawrence Berkeley National Laboratory have invented ARUBA (Arsenic Removal Using Bottom Ash) a material that effectively and affordably removes high concentrations of arsenic from contaminated groundwater. The technology is cost-effective because the substrate?bottom ash from coal fired power plants?is a waste material readily available in South Asia. During fieldwork in four sub-districts ofBangladesh, ARUBA reduced groundwater arsenic concentrations as high as 680 ppb to below the Bangladesh standard of 50 ppb. Key results from three trips in Bangladesh and one trip to Cambodia include (1) ARUBA removes more than half of the arsenic from contaminated water within the first five minutes of contact, andcontinues removing arsenic for 2-3 days; (2) ARUBA?s arsenic removal efficiency can be improved through fractionated dosing (adding a given amount of ARUBA in fractions versus all at once); (3) allowing water to first stand for two to three days followed by treatment with ARUBA produced final arsenic concentrations ten times lower than treating water directly out of the well; and (4) the amount of arsenic removed per gram of ARUBA is linearly related to the initial arsenic concentrationof the water. Through analysis of existing studies, observations, and informal interviews in Bangladesh, eight design strategies have been developed and used in the design of a low-cost, community-scale water treatment system that uses ARUBA to remove arsenic from drinking water. We have constructed, tested, and analyzed a scale version of the system. Experiments have shown that the system is capable of reducing high levels of arsenic (nearly 600 ppb) to below 50 ppb, while remaining affordable to people living on less than $2 per day. The system could be sustainably implemented as a public-private partnership in rural Bangladesh.

  2. War, peace, and international politics. Fourth edition

    SciTech Connect (OSTI)

    Ziegler, D.W. )

    1987-01-01

    We must conclude that war remains a major problem in the last quarter of the twentieth century. My intention in this book is to introduce you to international relations by focusing on this problem. War is not the only problem of international relations, and so this book does not exhaust the field. But war is a central problem, and the possibility of resort to war affects other aspects of international relations. Whatever else we may look at, we cannot avoid looking at war. In fact, in looking at war, we will touch on most of the other subjects important in international relations. War is conflict among states carried on by their armed forces. To distinguish war from border skirmishes and other minor incidents we usually say it must reach a certain magnitude (for example, at least 1,000 soldiers killed in battle over a year). It would be ideal if we could systematically study all the wars in the last hundred years, but such an exhaustive study would be out of place here. At the same time we cannot discuss such subjects as the cause of war or proposals for preventing it without some knowledge about actual wars. We must test theories against historical facts. What follows in Part I is a somewhat detailed history of seven wars (or groups of wars) fought in the last hundred years. These include the most destructive of the wars World War I (1914-1918), World War II (1939-1945), and the Korean War (1950-1953). By way of background to World War I, we will look at the wars of German unification (1864-1871), which preceded and in some ways prepared the way for it. To balance our account, we will also look at several recent wars India and Pakistan (1971), Uganda and Tanzania (1978-1979), and Cambodia, Vietnam, and China (1978-1980). After looking at some of the major wars of the last hundred years, we will look at what people have the about the causes of war in general.