武汉市重要湖泊水质时空演变特征及污染源解析

    Water quality spatiotemporal evolution characteristics and pollution source analysis of important lakes in Wuhan City

    • 摘要: 为探究武汉市重要湖泊水质时空演变特征,揭示关键驱动因子,解析污染来源,采用主成分分析、Spearman秩相关系数和APCS-MLR模型等方法对梁子湖、斧头湖、东湖、武湖、鲁湖、涨渡湖、豹澥湖、后官湖8个湖泊进行研究。结果表明:① 2013~2023年8个湖泊水质以GB 3838—2002《地表水环境质量标准》中Ⅳ类为主,其次是Ⅲ类,水质主控因子为高锰酸盐指数、总磷、总氮和溶解氧。②从年度变化来看,2019年以前,各主控因子浓度呈明显的逐年上升趋势;2019年以后,除总磷外,基本趋于平稳甚至偶有下降。从年内变化来看,汛期水质明显劣于非汛期。③从空间分布来看,历史和现状分布特征略有差异,整体呈现长江以南湖泊水质略优于长江以北。④污染源解析表明湖泊内源和城乡面源为主要污染源,其对主控因子平均贡献率接近80%。因此,应重点加强汛期内源和城乡面源污染防控。

       

      Abstract: To explore the spatiotemporal evolution characteristics of water quality in major lakes of Wuhan City, and to identify the key driving factors and apportion pollution sources, principal component analysis, Spearman rank correlation coefficient and the APCS-MLR model were applied to eight lakes, including Liangzi Lake, Futou Lake, East Lake, Wu Lake, Lu Lake, Zhangdu Lake, Baoxie Lake and Houguan Lake. The results showed that: ① From 2013 to 2023, the water quality of the eight lakes was predominantly classified as Class Ⅳ, followed by Class Ⅲ, as specified in the Environmental Quality Standards for Surface Water (GB 3838—2002). The dominant water quality control indicators included permanganate index, total phosphorus, total nitrogen and dissolved oxygen. ② In terms of interannual variation, before 2019, the concentrations of major control indicators exhibited a distinct year-by-year increasing trend; after 2019, they generally stabilized and even occasionally declined, with the exception of total phosphorus. In terms of intra-annual variation, water quality during the flood season was markedly inferior to that in the non-flood season. ③ Spatially, slight differences existed between historical and current distribution patterns. Overall, the water quality of lakes south of the Changjiang River was slightly better than that of lakes north of the Changjiang River. ④ Pollution source apportionment revealed that lake internal pollution and urban-rural non-point source pollution were the primary pollution sources, contributing nearly 80% on average to the main water quality indicators. Accordingly, priority should be given to strengthening the prevention and control of internal pollution and urban-rural non-point source pollution during the flood season.

       

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