渭河流域地表水硝酸盐污染来源的多元素复合示踪研究

地表水硝酸盐污染已成为全球广泛关注的环境问题，直接关系到人类健康和水资源的可持续利用。准确识别污染来源是预防和控制硝酸盐污染的前提。多元素复合示踪技术为精确解析地表水硝酸盐污染来源提供了有效的方法。本研究以渭河流域作为研究区域，通过研究流域地表水硝酸盐污染时空动态变化，结合社会经济因子分析，揭示流域地表水硝酸盐污染潜在来源分布，构建硝酸盐潜在污染源示踪元素信息库，发展宽谱系污染源解析示踪元素的组合理论，精确解析硝酸盐的污染来源，运用贝叶斯稳定同位素混合模型量化不同硝酸盐污染源对流域地表水污染的贡献比例，为水资源保护与制定相应的水环境管理政策提供科学依据。

Nitrate pollution of surface water has become a worldwide environmental problem, which related to human health and water sustainable utilization. A prerequisite for controlling and managing nitrate pollution is to identify sources of nitrate. Multi-element tracer technique is an effective approach to trace nitrate pollution sources of surface water accurately. In this project, Weihe river basin was selected as the study area. The spatial and temporal dynamic changes of surface water nitrate pollution were studied, and then the distribution of the potential sources of surface water nitrate pollution was depicted by social and economic data analyzing. The tracer database of the potential nitrate pollution sources combined with multi-element tracer was used to trace nitrate pollution sources. The Bayesian stable isotope mixing model was used to quantify the contribution of different sources on nitrate pollution in surface water. The study will provide some scientific references for protecting water resources and formulating the corresponding water environment management policy.