[Nitrate Sources and Key Transformation of River Water in a Piedmont Agricultural Area].

Q2 Environmental Science
Hao-Yang Liu, Guo-Li Yang, Yin-Cai Xie, Wei Liu, Ya-Nan Du, Jun Li, Li-Shan Ma
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引用次数: 0

Abstract

Water nitrate (NO3-) pollution is a pressing global environmental issue. Accurately identifying the diverse sources and quantifying the proportional contributions of NO3- in surface river water remains challenging, especially under complex hydrogeological conditions. This study investigated the surface river water in a typical piedmont agricultural area by integrating hydrochemistry, multiple isotopes (δ2H-H2O, δ18O-H2O, δ18O-NO3-, and δ15N-NO3-), and dissolved organic carbon (DOC), in combination with two quantitative models (i.e., Bayesian stable isotope mixing, MixSIAR; positive matrix factorization, PMF). It aimed to elucidate the distribution patterns, sources, contribution rates, and transformation processes of NO3- in river water. The results indicated that NO3- concentrations in the piedmont agricultural area [(35.6±12.5) mg·L-1] were significantly higher than those in the middle and lower urban reaches [(1.12±1.16) mg·L-1], with nitrification identified as the primary process regulating NO3- levels. In urban river sections, the excretion by algae and aquatic plants led to the accumulation of DOC [(13.5±3.9) mg·L-1], which promoted the dissimilatory nitrate reduction to ammonium (DNRA) process, thereby inhibiting NO3- accumulation. Although there were some discrepancies between the quantitative results of the MixSIAR and PMF models, both models consistently indicated that the high NO3- concentrations in the piedmont agricultural river sections were primarily attributed to manure and sewage discharges (MixSIAR: 92.0%, PMF: 84.1%, contribution rate). These findings provide targeted scientific support for the prevention and control of NO3- pollution in surface water within the study area, while also offering methodological references for other NO3--polluted regions worldwide with similar conditions.

山前农业区河水硝酸盐来源及重点转化研究
水体硝酸盐(NO3-)污染是一个紧迫的全球性环境问题。在复杂的水文地质条件下,准确识别不同来源并量化地表河流水体中NO3-的比例贡献仍然具有挑战性。本研究采用水化学、多同位素(δ2H-H2O、δ18O-H2O、δ18O-NO3-和δ15N-NO3-)和溶解有机碳(DOC)相结合的方法,结合贝叶斯稳定同位素混合(MixSIAR)和正矩阵分解(PMF)两种定量模型,对典型山前农业区地表水进行了研究。旨在阐明河流水体中NO3-的分布格局、来源、贡献率及转化过程。结果表明:山前农区NO3-浓度[(35.6±12.5)mg·L-1]显著高于城市中下游NO3-浓度[(1.12±1.16)mg·L-1],硝化作用是调节NO3-水平的主要过程;在城市河段,藻类和水生植物的排泄导致DOC[(13.5±3.9)mg·L-1]的积累,促进了硝酸盐的异同化还原成铵(DNRA)过程,从而抑制了NO3-的积累。虽然MixSIAR和PMF模型的定量结果存在一定差异,但两种模型一致表明,山前农业河段NO3-的高浓度主要归因于粪便和污水排放(MixSIAR: 92.0%, PMF: 84.1%,贡献率)。研究结果为研究区地表水NO3-污染防治提供了有针对性的科学支撑,同时也为全球其他类似条件的NO3-污染地区提供了方法参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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