小凌河典型污染物入海通量变化与海域水质响应研究

Study on the relationship between typical pollutant flux changes of Xiaoling river and the response of sea water quality

  • 摘要: 辽东湾近岸海域富营养化情况严重,特别是湾底部重要入海河口附近水质超标问题突出,因此,探究入海河流污染物排放特征及其对近岸海域水质的影响,对流域及近海水环境治理具有重要意义。本研究以小凌河为例,应用LOADEST模型对2022年小凌河几种典型污染物入海通量进行了估算,并应用渤海水质模型对污染物入海排放通量变化与海域水质的响应关系进行了深入分析。结果表明,2022年小凌河污染物逐月入海通量呈先上升后下降趋势,受径流及农业育种期影响,7月的高锰酸钾指数(CODMn)、总磷(TP)和氨氮(NH3-N)月通量最大,分别为910 t、30.38 t 和 222 t,8月通量日变化波动最剧烈,且不同月份入海通量具有显著差异。流域污染物入海通量显著影响近岸海域水质,7月—8月河口区海域污染物浓度最高且影响范围最大,与小凌河污染物通量峰值相符。但不同污染物的水质响应区演变规律有所不同,因此,在制定相应的污染管控措施时,应充分考虑不同污染物的类型及其对近岸海域水质的影响规律,进而进行差异化管理。

     

    Abstract: The eutrophication situation in the nearshore waters of Liaodong Bay is severe, especially the problem of excessive water pollution near the important estuary at the bottom of the bay. Therefore, it is of great significance to explore the spatiotemporal distribution characteristics of river pollution entering the sea and its impact on the water quality of nearshore waters for the management of river basins and seawater environments. This study takes Xiaoling river as an example and applies the LOADEST model to estimate the fluxes of several typical pollutants from Xiaoling river into the sea in 2022. Moreover, a Bohai water quality model developed based on the HAMSOM model was applied to conduct in-depth analysis of the relationship between typical pollutant flux changes of Xiaoling river and the response of sea water quality. The results indicate that the monthly flux of pollutants from Xiaoling river into the sea shows an upward trend followed by a downward trend. Due to the influence of runoff and agricultural breeding period, the total phosphorus, potassium permanganate index, and ammonia nitrogen monthly inflow in July were the highest, at 30.38 t, 910 t, and 222 t, respectively. The analysis of water quality response in Bohai Sea shows that the flux of pollutants entering the sea in the basin significantly affects the water quality of nearshore waters. The highest pollution concentration and the largest impact range in the estuary area from July to August are consistent with the peak pollution flux of Xiaoling river. However, the evolution patterns of water quality response zones for different pollutants vary. Based on the calculation results of the pollution sharing rate of Xiaoling river, it is found that in order to improve the water quality of the nearshore waters in the long run, various pollutants should be given equal attention. Moreover, when formulating corresponding pollution control measures, differential management should be fully considered for different pollution source sharing rates.

     

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