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Nitrate transformation and source tracking of Yarlung Tsangpo River using a multi-tracer approach combined with Bayesian stable isotope mixing model.
Bao, Yufei; Sun, Meng; Wang, Yuchun; Hu, Mingming; Hu, Peng; Wu, Leixiang; Huang, Wei; Li, Shanze; Wen, Jie; Wang, ZhongJun; Zhang, Qian; Wu, Nanping.
Afiliación
  • Bao Y; State Key Laboratory of Watershed Water Cycle Simulation and Regulation, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China. Electronic add
  • Sun M; State Key Laboratory of Watershed Water Cycle Simulation and Regulation, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
  • Wang Y; State Key Laboratory of Watershed Water Cycle Simulation and Regulation, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China. Electronic add
  • Hu M; State Key Laboratory of Watershed Water Cycle Simulation and Regulation, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
  • Hu P; State Key Laboratory of Watershed Water Cycle Simulation and Regulation, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
  • Wu L; State Key Laboratory of Watershed Water Cycle Simulation and Regulation, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
  • Huang W; State Key Laboratory of Watershed Water Cycle Simulation and Regulation, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
  • Li S; State Key Laboratory of Watershed Water Cycle Simulation and Regulation, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
  • Wen J; State Key Laboratory of Watershed Water Cycle Simulation and Regulation, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
  • Wang Z; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng, 224051, China.
  • Zhang Q; School of Civil Engineering & Architecture, Wuhan University of Technology, Wuhan, 430070, China.
  • Wu N; School of Civil Engineering & Architecture, Wuhan University of Technology, Wuhan, 430070, China.
Environ Res ; 252(Pt 2): 118925, 2024 Jul 01.
Article en En | MEDLINE | ID: mdl-38615795
ABSTRACT
Excessive levels of nitrate nitrogen (NO3--N) could lead to ecological issues, particularly in the Yarlung Tsangpo River (YTR) region located on the Qinghai Tibet Plateau. Therefore, it is crucial to understand the fate and sources of nitrogen to facilitate pollution mitigation efforts. Herein, multiple isotopes and source resolution models were applied to analyze key transformation processes and quantify the sources of NO3-. The δ15N-NO3- and δ18O-NO3- isotopic compositions in the YTR varied between 1.23‰ and 13.64‰ and -7.88‰-11.19‰, respectively. The NO3--N concentrations varied from 0.08 to 0.86 mg/L in the dry season and 0.20-1.19 mg/L during the wet season. Nitrification remained the primary process for nitrogen transformation in both seasons. However, the wet season had a widespread effect on increasing nitrate levels, while denitrification had a limited ability to reduce nitrate. The elevated nitrate concentrations during the flood season were caused by increased release of NO3- from manure & sewage (M&S) and chemical fertilizers (CF). Future endeavors should prioritize enhancing management strategies to improve the utilization efficiency of CF and hinder the direct entry of untreated sewage into the water system.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Monitoreo del Ambiente / Teorema de Bayes / Ríos / Nitratos País/Región como asunto: Asia Idioma: En Revista: Environ Res Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Monitoreo del Ambiente / Teorema de Bayes / Ríos / Nitratos País/Región como asunto: Asia Idioma: En Revista: Environ Res Año: 2024 Tipo del documento: Article