CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai, Shandong, 264003, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, PR China.
School of Environmental and Material Engineering, Yantai University, Yantai, Shandong, 264005, PR China.
Environ Pollut. 2021 Aug 15;283:117112. doi: 10.1016/j.envpol.2021.117112. Epub 2021 Apr 12.
Excessive nitrate (NO) in rivers can lead to water quality deterioration, and can also be directly input into estuaries and oceans, thus posing a serious threat to the stability of their ecosystems. In this study, the concentration, isotopes and sources of NO in 30 rivers discharging into the Bohai Sea were comprehensively investigated. The mean concentration of NO-N was 2.24 ± 2.11 mg L, with obvious seasonal and spatial variations. In total, 104.24 kt of NO-N was discharged into the Bohai Sea annually, to which the Yellow River Basin and Liao River Basin made the largest contributions. The range of δN-NO was -1.1‰ to +33.2‰ (mean value, +11.4 ± 5.0‰), with no significant seasonal or spatial differences; the mean value of δO-NO was +9.4 ± 7.2‰, with much higher values seen in June. Based on the MixSIAR model, manure (24.3 ± 7.5%) and sewage (19.1 ± 14.5%) were the primary sources of NO in the 30 rivers, followed by NO fertilizers (16.3 ± 12.5%), soil N (15.5 ± 11.9%), atmospheric deposition of NO (13.5 ± 5.7%) and NH fertilizers (11.4 ± 8.9%). This finding highlights the vital roles of sewage and manure management in riverine NO. Using a mathematical method, the contributions of various sources to each river were simulated. The results indicated that management of the Yellow River, Daliao River, Liao River, and Xiaoqing River is more urgently needed than that of other rivers to control Bohai NO pollution. We believe that this finding will provide guidance for scientific management of NO pollution in these 30 rivers and the Bohai Sea.
河流中过量的硝酸盐(NO)会导致水质恶化,还会直接输入到河口和海洋中,从而对其生态系统的稳定性造成严重威胁。本研究全面调查了 30 条排入渤海的河流中 NO 的浓度、同位素及其来源。NO-N 的平均浓度为 2.24±2.11mg·L,具有明显的季节性和空间变化。黄河流域和辽河流域每年向渤海排放的 NO-N 总量最大,为 104.24kt。δN-NO 的范围为-1.1‰至+33.2‰(平均值,+11.4±5.0‰),无明显季节性或空间差异;δO-NO 的平均值为+9.4±7.2‰,6 月的值较高。基于 MixSIAR 模型,粪便(24.3±7.5%)和污水(19.1±14.5%)是这 30 条河流中 NO 的主要来源,其次是 NO 肥料(16.3±12.5%)、土壤 N(15.5±11.9%)、大气 NO 沉降(13.5±5.7%)和 NH 肥料(11.4±8.9%)。这一发现突出了污水和粪便管理在河流 NO 中的重要作用。通过数学方法模拟了各种来源对每条河流的贡献。结果表明,与其他河流相比,黄河、大辽河、辽河流域和小清河流域的管理更需要加以控制,以防止渤海的 NO 污染。我们相信,这一发现将为这些 30 条河流和渤海的 NO 污染科学管理提供指导。