Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis
Chongqing Institute of Green and Intelligent Technology · Environmental Protection Agency
Abstract
Collectively, reservoirs created by dams are thought to be an important source of greenhouse gases (GHGs) to the atmosphere. So far, efforts to quantify, model, and manage these emissions have been limited by data availability and inconsistencies in methodological approach. Here, we synthesize reservoir CH 4 , CO 2 , and N 2 O emission data with three main objectives: (1) to generate a global estimate of GHG emissions from reservoirs, (2) to identify the best predictors of these emissions, and (3) to consider the effect of methodology on emission estimates. We estimate that GHG emissions from reservoir water surfaces account for 0.8 (0.5-1.2) Pg CO 2 equivalents per year, with the majority of this forcing due…
Citation impact
- FWCI
- 46.43
- Percentile
- 100%
- References
- 103
Authors
10- BRBridget R. DeemerCorresponding
Chongqing Institute of Green and Intelligent Technology, Environmental Protection Agency
- JAJohn A. HarrisonCorresponding
Environmental Protection Agency, Chongqing Institute of Green and Intelligent Technology
- SLSiyue LiCorresponding
Chongqing Institute of Green and Intelligent Technology, Environmental Protection Agency
- JJJake J. BeaulieuCorresponding
Chongqing Institute of Green and Intelligent Technology, Environmental Protection Agency
- TDTonya DelSontroCorresponding
Chongqing Institute of Green and Intelligent Technology, Environmental Protection Agency
Topics & keywords
- Greenhouse gas
- Environmental science
- Downstream (manufacturing)
- Atmosphere (unit)
- Productivity
- Forcing (mathematics)
- Atmospheric sciences
- Meteorology
Funding
- NSNational Science FoundationAwards: FP7/2007-2013, 0903714
- UEU.S. Environmental Protection Agency
- ECEuropean CommissionAwards: FP7/2007-2013, 2007-2013, FP7/2007, 336642
- NNNational Natural Science Foundation of ChinaAwards: FP7/2007-2013, FP7/2007, 31670473, NSFC 31670473
- CAChinese Academy of SciencesAwards: 31670473, FP7/2007-2013
- CNConselho Nacional de Desenvolvimento Científico e Tecnológico
- UAU.S. Army Corps of Engineers