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Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis

pmid: 32801383
pmc: PMC7425809
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 CH4, CO2, and N2O 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 CO2 equivalents per year, with the majority of this forcing due to CH4. We then discuss the potential for several alternative pathways such as dam degassing and downstream emissions to contribute significantly to overall emissions. Although prior studies have linked reservoir GHG emissions to reservoir age and latitude, we find that factors related to reservoir productivity are better predictors of emission.
- Chinese Academy of Sciences China (People's Republic of)
- Universidade Federal de Juiz de Fora Brazil
- Universidade Federal de Minas Gerais Brazil
- University of Amsterdam Netherlands
- Environmental Protection Agency United States
Life Sciences & Biomedicine - Other Topics, reservoir, Science & Technology, 330, 550, methane, eutrophication, greenhouse gas, ebullition, Biology, Life Sciences & Biomedicine
Life Sciences & Biomedicine - Other Topics, reservoir, Science & Technology, 330, 550, methane, eutrophication, greenhouse gas, ebullition, Biology, Life Sciences & Biomedicine
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).657 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
