Modeling nitrous oxide emission from rivers: a global assessment

作者：Minpeng Hu, Dingjiang Chen, Randy Alan Dahlgren · 发表于：Global Change Biology · 年份：2016 · DOI：10.1111/gcb.13351 · 被引用次数：200 · 研究领域：Soil and Water Nutrient Dynamics、Hydrology and Watershed Management Studies、Water Quality and Pollution Assessment

Abstract Estimates of global riverine nitrous oxide (N2O) emissions contain great uncertainty. We conducted a meta‐analysis incorporating 169 observations from published literature to estimate global riverine N2O emission rates and emission factors. Riverine N2O flux was significantly correlated with NH4, NO3 and DIN (NH4 + NO3) concentrations, loads and yields. The emission factors EF(a) (i.e., the ratio of N2O emission rate and DIN load) and EF(b) (i.e., the ratio of N2O and DIN concentrations) values were comparable and showed negative correlations with nitrogen concentration, load and yield and water discharge, but positive correlations with the dissolved organic carbon : DIN ratio. After individually evaluating 82 potential regression models based on EF(a) or EF(b) for global, temperate zone and subtropical zone datasets, a power function of DIN yield multiplied by watershed area was determined to provide the best fit between modeled and observed riverine N2O emission rates (EF(a): R2 = 0.92 for both global and climatic zone models, n = 70; EF(b): R2 = 0.91 for global model and R2 = 0.90 for climatic zone models, n = 70). Using recent estimates of DIN loads for 6400 rivers, models estimated global riverine N2O emission rates of 29.6–35.3 (mean = 32.2) Gg N2O–N yr−1 and emission factors of 0.16–0.19% (mean = 0.17%). Global riverine N2O emission rates are forecasted to increase by 35%, 25%, 18% and 3% in 2050 compared to the 2000s under the Millennium Ecosystem Assessment'...