Spatial and Temporal Correlates of Greenhouse Gas Diffusion from a Hydropower Reservoir in the Southern United States

摘要: Emissions of CO2 and CH4 from freshwater reservoirs constitute a globally significant source atmospheric greenhouse gases (GHGs), but knowledge gaps remain with regard to spatiotemporal drivers emissions. We document the spatial seasonal variation in surface diffusion Douglas Lake, hydropower reservoir Tennessee, USA. Monthly estimates across 13 sites January November 2010 indicated that diffusions ranged 236 18,806 mg·m−2·day−1 for 0 0.95 CH4. Next, we developed statistical models using physicochemical variables predict Models explained 22.7% 20.9% respectively, identified pH, temperature, dissolved oxygen, Julian day as most informative predictors. These findings provide baseline GHG emissions eastern temperate North America, region which GHGs are limited. Our effectively characterized non-linear threshold relationships between predictors Further refinement such modeling approaches will aid predicting current unsampled forecasting future