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Modeling Riverine N2O Sources, Fates, and Emission Factors in a Typical River Network of Eastern China.
Hu, Minpeng; Li, Bingqing; Wu, Kaibin; Zhang, Yufu; Wu, Hao; Zhou, Jia; Chen, Dingjiang.
Afiliação
  • Hu M; College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province 310058, China.
  • Li B; Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, Zhejiang University, Hangzhou 310058, China.
  • Wu K; College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province 310058, China.
  • Zhang Y; Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, Zhejiang University, Hangzhou 310058, China.
  • Wu H; College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province 310058, China.
  • Zhou J; Zhejiang Provincial Key Laboratory of Subtropical Soil and Plant Nutrition, Zhejiang University, Hangzhou 310058, China.
  • Chen D; College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province 310058, China.
Environ Sci Technol ; 55(19): 13356-13365, 2021 10 05.
Article em En | MEDLINE | ID: mdl-34521193
ABSTRACT
Estimates of riverine N2O emission contain great uncertainty because of the lack of quantitative knowledge concerning riverine N2O sources and fates. Using a 3.5-year record of monthly N2O measurements from the Yongan River network of eastern China, we developed a mass-balance model to address the riverine N2O source and sink processes. We achieved reasonable model efficacies (R2 = 0.44-0.84, Nash-Sutcliffe coefficients = 0.40-0.80) across three tributaries and the entire river system. Estimated riverine N2O loads originated from groundwater (38-88%), surface runoff (3-26%), and in-stream production (4-48%). Estimated in-stream losses via atmospheric release + complete denitrification accounted for 76, 95, 25, and 89% of riverine N2O fate for the agricultural, residential, forest, and entire river system, respectively. Considering limited complete denitrification, the model estimated an upper-bound riverine N2O emission rate of 2.65 ton N2O-N km-2 year-1 for the entire river system. Riverine N2O emission estimates were of comparable magnitude to those estimated with a power-law scaling model. Riverine N2O emissions using the IPCC default emission factor (0.26%) overestimated emissions by 3-15 times, whereas the dissolved N2O concentration-based emission factor overestimated or underestimated emissions. This study highlights the importance of combining comprehensive information on N2O sources and fates to achieve accurate riverine N2O emission estimates.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água Subterrânea / Rios Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água Subterrânea / Rios Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article