School of Geographical Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, 200241, China.
School of Geographical Sciences, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, 200241, China; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, Shanghai, 200241, China.
Environ Res. 2023 Aug 15;231(Pt 2):116182. doi: 10.1016/j.envres.2023.116182. Epub 2023 May 16.
The focus of urban water environment renovation has shifted to high nitrate (NO) load. Nitrate input and nitrogen conversion are responsible for the continuous increase in nitrate levels in urban rivers. This study utilized nitrate stable isotopes (δN-NO and δO-NO) to investigate NO sources and transformation processes in Suzhou Creek, located in Shanghai. The results demonstrated that NO was the most common form of dissolved inorganic nitrogen (DIN), accounting for 66 ± 14% of total DIN with a mean value of 1.86 ± 0.85 mg L. The δN-NO and δO-NO values ranged from 5.72 to 12.42‰ (mean value: 8.38 ± 1.54‰) and -5.01 to 10.39‰ (mean value: 0.58 ± 1.76‰), respectively. Based on isotopic evidence, the river received a significant amount of nitrate through direct exogenous input and sewage ammonium nitrification, while nitrate removal (denitrification) was insignificant, resulting in nitrate accumulation. Analysis using the MixSIAR model revealed that treated wastewater (68.3 ± 9.7%), soil nitrogen (15.7 ± 4.8%) and nitrogen fertilizer (15.5 ± 4.9%) were the main sources of NO in rivers. Despite the fact that Shanghai's urban domestic sewage recovery rate has reached 92%, reducing nitrate concentrations in treated wastewater is crucial for addressing nitrogen pollution in urban rivers. Additional efforts are needed to upgrade urban sewage treatment during low flow periods and/or in the main stream, and to control non-point sources of nitrate, such as soil nitrogen and nitrogen fertilizer, during high flow periods and/or tributaries. This research provides insights into NO sources and transformations, and serves as a scientific basis for controlling NO in urban rivers.
城市水环境污染治理的重点已转移到高硝酸盐(NO)负荷上。硝酸盐的输入和氮的转化是导致城市河流中硝酸盐含量持续增加的原因。本研究利用硝酸盐稳定同位素(δN-NO 和 δO-NO)来研究位于上海的苏州河的 NO 来源和转化过程。结果表明,NO 是溶解无机氮(DIN)中最常见的形式,占总 DIN 的 66±14%,平均值为 1.86±0.85mg·L-1。δN-NO 和 δO-NO 值范围分别为 5.72 到 12.42‰(平均值:8.38±1.54‰)和-5.01 到 10.39‰(平均值:0.58±1.76‰)。根据同位素证据,河流通过直接外源输入和污水中的铵硝化得到了大量的硝酸盐,而硝酸盐的去除(反硝化)并不显著,导致硝酸盐的积累。MixSIAR 模型分析表明,处理后的污水(68.3±9.7%)、土壤氮(15.7±4.8%)和氮肥(15.5±4.9%)是河流中 NO 的主要来源。尽管上海的城市生活污水回收率已达到 92%,但降低处理后污水中的硝酸盐浓度对于解决城市河流中的氮污染至关重要。需要在低流量期间和/或在主流中升级城市污水处理,并在高流量期间和/或支流中控制非点源硝酸盐,如土壤氮和氮肥,以减少硝酸盐浓度。本研究为 NO 的来源和转化提供了见解,为控制城市河流中的 NO 提供了科学依据。