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Identify nitrogen transport paths and sources contribution in karst valley depression area using isotopic approach.
Lu, Meng; Yue, Fu-Jun; Wang, Xiao-Dan; Liu, Zi-Han; Shi, Zhi-Yu; Zhang, Ping.
Afiliación
  • Lu M; College of Eco-Environmental Engineering, Guizhou Minzu University, Guiyang 550025, China.
  • Yue FJ; Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China. Electronic address: fujun_yue@tju.edu.cn.
  • Wang XD; College of Eco-Environmental Engineering, Guizhou Minzu University, Guiyang 550025, China. Electronic address: wangxiaodan@gzmu.edu.cn.
  • Liu ZH; College of Eco-Environmental Engineering, Guizhou Minzu University, Guiyang 550025, China.
  • Shi ZY; College of Eco-Environmental Engineering, Guizhou Minzu University, Guiyang 550025, China.
  • Zhang P; College of Eco-Environmental Engineering, Guizhou Minzu University, Guiyang 550025, China.
J Environ Manage ; 337: 117751, 2023 Jul 01.
Article en En | MEDLINE | ID: mdl-36933532
ABSTRACT
Karst groundwater provides drinking water for a quarter of Earth's population. However, in intensive agricultural regions worldwide, karst water is commonly polluted by nitrate (NO3-), particularly in the valley depression areas with well hydrological connectivity. The valley depression aquifers are particularly vulnerable to anthropogenic pollution because their pipes and sinkholes respond quickly to rainfall events and anthropogenic inputs. Identifying nitrate sources and transport paths in the valley depression areas is key to understanding the nitrogen cycle and effectively preventing and controlling NO3- pollution. This study collected high-resolution samples at four sites including one surface stream-SS, two sinkholes-SH and reservoir-Re, during the wet season in the headwater sub-catchment. The chemical component concentrations and stable isotopes (δ15N-NO3- and δ18O-NO3-) were analyzed. The stable isotope analysis model in R language (SIAR) was used to quantitatively analyze the contribution rate of NO3- sources. The results showed that the down section site (Re) has the highest [NO3--N], followed by SH and the lowest SS. The sources calculation of SIAR demonstrated that, during the non-rainfall period, soil organic nitrogen was the primary source of the down section site, followed by fertilizer and the upper reaches sinkholes. During the rainfall period, fertilizer was the primary source of the down section site, followed by soil organic nitrogen and from upper reaches sinkholes. Rainfall events accelerated fertilizer-leaching into the groundwater. Slight denitrification may have occurred at the sampling sites but the assimilation of Re and SH could not occur. In conclusion, agricultural activities were still the primary influencing factor of [NO3--N] in the study area. Therefore, the focus of NO3- prevention and control in the valley depression areas should consider the methods and timing of fertilization and the spatial distribution of sinkholes. To reduce nitrogen flux in the valley depression area, effective management policy should consider, e.g., prolongation of water residence time by wetland, and blocking nitrogen loss paths by sinkholes.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Agua Potable / Agua Subterránea Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Agua Potable / Agua Subterránea Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2023 Tipo del documento: Article País de afiliación: China