Hao-Yang Liu, Guo-Li Yang, Yin-Cai Xie, Wei Liu, Ya-Nan Du, Jun Li, Li-Shan Ma
{"title":"[Nitrate Sources and Key Transformation of River Water in a Piedmont Agricultural Area].","authors":"Hao-Yang Liu, Guo-Li Yang, Yin-Cai Xie, Wei Liu, Ya-Nan Du, Jun Li, Li-Shan Ma","doi":"10.13227/j.hjkx.202507061","DOIUrl":null,"url":null,"abstract":"<p><p>Water nitrate (NO<sub>3</sub><sup>-</sup>) pollution is a pressing global environmental issue. Accurately identifying the diverse sources and quantifying the proportional contributions of NO<sub>3</sub><sup>-</sup> 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 (<i>δ</i><sup>2</sup>H-H<sub>2</sub>O, <i>δ</i><sup>18</sup>O-H<sub>2</sub>O, <i>δ</i><sup>18</sup>O-NO<sub>3</sub><sup>-</sup>, and <i>δ</i><sup>15</sup>N-NO<sub>3</sub><sup>-</sup>), 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 NO<sub>3</sub><sup>-</sup> in river water. The results indicated that NO<sub>3</sub><sup>-</sup> concentrations in the piedmont agricultural area [(35.6±12.5) mg·L<sup>-1</sup>] were significantly higher than those in the middle and lower urban reaches [(1.12±1.16) mg·L<sup>-1</sup>], with nitrification identified as the primary process regulating NO<sub>3</sub><sup>-</sup> levels. In urban river sections, the excretion by algae and aquatic plants led to the accumulation of DOC [(13.5±3.9) mg·L<sup>-1</sup>], which promoted the dissimilatory nitrate reduction to ammonium (DNRA) process, thereby inhibiting NO<sub>3</sub><sup>-</sup> accumulation. Although there were some discrepancies between the quantitative results of the MixSIAR and PMF models, both models consistently indicated that the high NO<sub>3</sub><sup>-</sup> 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 NO<sub>3</sub><sup>-</sup> pollution in surface water within the study area, while also offering methodological references for other NO<sub>3</sub><sup>-</sup>-polluted regions worldwide with similar conditions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6116-6125"},"PeriodicalIF":0.0000,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202507061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
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.