北京大学学报（自然科学版）2026，Vol.62Issue(3)：625-636,12.DOI:10.13209/j.0479-8023.2026.027
基于MixSIAR模型与通量核算法解析白坭河流域地表水氮素来源
Source Tracking of Nitrogen Pollution in Surface Water of Baini River Basin Based on MixSIAR Model and Flux Mass Balance Method
摘要
Abstract
This study investigates the Baini River Basin using the MixSIAR model to quantify nitrate contributions from wastewater effluent(M&S),sewer leakage(SL),agriculture(AG),soil nitrogen(SN),and urban runoff(UR),with flux calculation used to verify model reliability.Results show that wastewater effluent is the dominant source(67.5%),followed by soil nitrogen(13.7%),agriculture(12.6%),sewer leakage(4.7%),and urban runoff(1.1%).Source contributions show spatiotemporal variations.In the wet season,wastewater effluent accounts for 54.0%,while agriculture and soil nitrogen contribute 18.3%and 19.5%,respectively.In the normal season,wastewater effluent rises to 61.8%,while agriculture and soil nitrogen decline.Spatially,the main channel and downstream tributaries are dominated by wastewater effluent(55.4%and 57.1%),whereas agricultural input rises at the watershed boundary(25.7%).Isotopic and dissolved oxygen data indicate limited denitrification in the basin,and wastewater effluent and untreated sewage leakage are the main sources of riverine nitrogen.Therefore,sewer network maintenance,stormwater-sewage separation,and sewage overflow control should be strengthened.关键词
氮氧同位素/氮素溯源/MixSIAR模型/白坭河流域Key words
dual stable isotopes/nitrate source apportionment/MixSIAR/Baini River Basin引用本文复制引用
庄诚,陈倩,赵志杰..基于MixSIAR模型与通量核算法解析白坭河流域地表水氮素来源[J].北京大学学报（自然科学版）,2026,62(3):625-636,12.基金项目
广州市城市排水监测站委托项目"水污染来源解析"(GZCPJ/ZD-2024-07)资助 （GZCPJ/ZD-2024-07）
