Wei Ying-Huai, Hu Min-Peng, Chen Ding-Jiang
College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China.
Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, Zhejiang University, Hangzhou 310058, China.
Huan Jing Ke Xue. 2024 Feb 8;45(2):755-767. doi: 10.13227/j.hjkx.202304069.
Accurate source identification/apportionment is essential for optimizing water NO-N pollution control strategies. This study conducted a meta-analysis based on data from 167 rivers across China from 2000 to 2022 to analyze the spatial and temporal variation patterns of nitrate pollution in seven major river systems and to quantitatively identify the source composition of riverine nitrate. The average (NO-N) in the seven major river systems was (4.54±3.99) mg·L, with 9.6% of river (NO-N) exceeding 10 mg·L. The riverine (NO-N) in eastern China were higher than that in western China, and the highest concentration was observed in the Haihe River system. Additionally, tributaries experienced more serious NO-N pollution than that in the main stream. The (NO-N) in most river systems in the dry season was higher than that in the wet season, except in the Yellow River system. There was significant nitrification in the Pearl River system, the middle and lower reaches of the Yellow River system, the middle reaches of the Liaohe River system, the Songhua River system, and the Haihe River system, whereas there was significant denitrification in the Yangtze River system, the Huaihe River system, and the lower reaches of the Pearl River system. Based on the dual stable isotopes-based MixSIAR model, the major NO-N source was sewage/manure ( > 50%) in the Yangtze River system, Haihe River system, Liaohe River system, and Southeast River system. Soil nitrogen was the main NO-N source in the Songhua River system (56.4%), and the contribution of fertilizer nitrogen, soil nitrogen, and sewage/manure to NO-N pollution in the Pearl River system, Huai River system, and Yellow River system was 20%-40%. The contribution rate of sewage/manure to NO-N in the tributaries was higher than that in the main stream, whereas the contribution rate of soil nitrogen to NO-N in the main stream was higher than that in the tributaries. The contribution rate of soil nitrogen, fertilizer nitrogen, and atmospheric deposition nitrogen to nitrate nitrogen in the wet season was higher than that in the dry season, whereas the contribution rate of sewage/manure to NO-N pollution in the dry season was higher than that in the wet season. Therefore, point source pollution such as domestic and production sewage discharge should be controlled in the Haihe River system, the Yangtze River system, the Liaohe River system, the tributaries and the downstream main stream areas of Yellow River system, and the downstream area of the Pearl River system, whereas non-point source pollution caused by the loss of fertilizer and soil nitrogen should be controlled in the Huaihe River system, the Songhua River system, the middle reaches of the main stream area of the Yellow River system, and the middle and upper reaches of the Pearl River system. The results can provide a scientific basis for the effective control of nitrate pollution in the river systems in China.
准确的污染源识别/溯源对于优化水体硝态氮污染控制策略至关重要。本研究基于2000年至2022年中国167条河流的数据进行了荟萃分析,以分析七大水系硝酸盐污染的时空变化模式,并定量识别河流硝酸盐的来源组成。七大水系的平均(硝态氮)为(4.54±3.99)mg·L,9.6%的河流(硝态氮)超过10 mg·L。中国东部河流的(硝态氮)高于西部,海河水系的浓度最高。此外,支流的硝态氮污染比干流更严重。除黄河水系外,大多数河流水系在旱季的(硝态氮)高于雨季。珠江水系、黄河水系中下游、辽河水系中游、松花江水系和海河水系存在显著硝化作用,而长江水系、淮河水系和珠江水系下游存在显著反硝化作用。基于双稳定同位素的MixSIAR模型,长江水系、海河水系、辽河水系和东南诸河水系的主要硝态氮来源是污水/粪便(>50%)。松花江水系中土壤氮是主要的硝态氮来源(56.4%),珠江水系、淮河水系和黄河水系中化肥氮、土壤氮和污水/粪便对硝态氮污染的贡献率为20%-40%。污水/粪便对支流硝态氮的贡献率高于干流,而土壤氮对干流硝态氮的贡献率高于支流。土壤氮、化肥氮和大气沉降氮在雨季对硝态氮的贡献率高于旱季,而污水/粪便在旱季对硝态氮污染的贡献率高于雨季。因此,应在海河水系、长江水系、辽河水系、黄河水系支流和下游干流区域以及珠江水系下游控制生活污水和生产污水排放等点源污染,而在淮河水系、松花江水系、黄河水系干流中游区域以及珠江水系中上游控制化肥和土壤氮流失造成的面源污染。研究结果可为中国河流水系硝酸盐污染的有效控制提供科学依据。