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Transport Pathways of Nitrate in Stormwater Runoff Inferred from High-Frequency Sampling and Stable Water Isotopes.
Wang, Jian; Li, Xiao; Li, Yan; Shi, Yongyong; Xiao, Haibing; Wang, Lei; Yin, Wei; Zhu, Zhenya; Bian, Haixia; Li, Haiyan; Shi, Zhihua; Seybold, Hansjörg; Kirchner, James W.
Afiliação
  • Wang J; State Environmental Protection Key Laboratory of Soil Health and Green Remediation, Huazhong Agricultural University, Wuhan 430070, China.
  • Li X; Department of Environmental System Sciences, ETH Zürich, Zürich 8092, Switzerland.
  • Li Y; State Environmental Protection Key Laboratory of Soil Health and Green Remediation, Huazhong Agricultural University, Wuhan 430070, China.
  • Shi Y; Hubei Provincial Water Saving Research Center, Hubei Water Resources Research Institute, Wuhan 430070, China.
  • Xiao H; State Environmental Protection Key Laboratory of Soil Health and Green Remediation, Huazhong Agricultural University, Wuhan 430070, China.
  • Wang L; State Environmental Protection Key Laboratory of Soil Health and Green Remediation, Huazhong Agricultural University, Wuhan 430070, China.
  • Yin W; State Environmental Protection Key Laboratory of Soil Health and Green Remediation, Huazhong Agricultural University, Wuhan 430070, China.
  • Zhu Z; Changjiang Water Resources Protection Institute, Wuhan 430051, China.
  • Bian H; Changjiang Water Resources Protection Institute, Wuhan 430051, China.
  • Li H; Soil and Water Conservation Monitoring Center, Danjiangkou 442700, China.
  • Shi Z; Soil and Water Conservation Monitoring Center, Danjiangkou 442700, China.
  • Seybold H; State Environmental Protection Key Laboratory of Soil Health and Green Remediation, Huazhong Agricultural University, Wuhan 430070, China.
  • Kirchner JW; Department of Environmental System Sciences, ETH Zürich, Zürich 8092, Switzerland.
Environ Sci Technol ; 2024 Aug 17.
Article em En | MEDLINE | ID: mdl-39152914
ABSTRACT
Storm events can mobilize nitrogen species from landscapes into streams, exacerbating eutrophication and threatening aquatic ecosystems as well as human health. However, the transport pathways and storm responses of different nitrogen forms remain elusive. We used high-frequency chemical and isotopic sampling to partition sources of stormwater runoff and determine transport pathways of multiple nitrogen forms in an agricultural catchment. Bayesian mixing modeling reveals shallow subsurface water as the dominant source of stormwater runoff, contributing 74% of the water flux and 72, 71, and 79% of total nitrogen (TN), total dissolved nitrogen (TDN), and nitrate (NO3-N), respectively. Groundwater, by contrast, contributed 11% of stormwater runoff and 21, 22, and 17% of TN, TDN, and NO3-N, respectively. The remaining 14% of stormwater runoff can be attributed to rainwater, which contains much less TN, TDN, and NO3-N. Surprisingly, during storm events, the dominant nitrogen form was NO3-N rather than dissolved organic nitrogen. Antecedent conditions and runoff characteristics have an important influence on nitrogen loads during storm events. Our results provide insight into hydrological mechanisms driving nitrogen transport during storm events and may help in developing catchment management practices for reducing nitrogen pollution in aquatic ecosystems.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China
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