Improved Principal Component-Fuzzy Comprehensive Assessment Coupling Model for Urban River Water Quality: A Case Study in Chongqing, China
Improved Principal Component-Fuzzy Comprehensive Assessment Coupling Model for Urban River Water Quality: A Case Study in Chongqing, China
复制标题
改进的城市河道水质主成分-模糊综合评价耦合模型：以中国重庆市为例
DOI：
10.3390/w12051375
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发表时间：
2020
期刊：
影响因子：
3.4
通讯作者：
Li Xiaoting
中科院分区：
文献类型：
--
作者：
Zhao Siyuan;Chen Jing;Jin Qiu;Liu Huazu;Yang Wei;Li Wei;Jiang Jiao;Sha Yue;Tian Zhenyu;Wang Yixin;Li Xiaoting
提出了一种改进的城市河流水质主成分-模糊综合评价耦合模型，该模型充分考虑了水质和水量的影响。该模型不仅可以选择关键指标，而且可以明确水质的空间变化和水质等级。该模型被用来评估在中国重庆清水和凤凰溪的水质。在17个监测点收集了12项评价指标的数据。评价结果表明，TN、TP、NH3-N、CODcr、pH、DO和流速是影响水质的主要指标。14个监测点水质为劣V类，其余监测点水质为劣V类，主要受垃圾沉积和生活污水排放的影响，中游水质最差。上游主要受农田面源污染和农村生活污水污染的影响。下游靠近景区，定期进行河道清淤、人工曝气等环境治理措施。它的水质最好。研究结果为当地环境部门发现污染源和制定水资源管理策略提供了有价值的信息。
An improved principal component-fuzzy comprehensive assessment coupling model for urban river water quality is proposed, which fully considers the influence of water quality and quantity. This model can not only choose the key indexes, but also specify the spatial variation and class of water quality. This proposed model was used to assess the water quality of the Qingshui and Fenghuang streams in Chongqing, China. Data of twelve indexes used in the assessment were collected from 17 monitoring points. The assessment results show that the key indexes include TN, TP, NH3-N, CODcr, pH, DO and velocity. Water quality of 14 monitoring points is classified as class Bad V, and that of the remaining points is class V. Mainly affected by the deposition of garbage and discharge of domestic sewage, water quality of the midstream is the worst. The upstream is mainly influenced by farmland non-point source pollution and rural domestic sewage pollution. The downstream is close to the scenic area, and environmental control measures such as river dredging and artificial aeration are regularly carried out. The water quality of it is the best. The results provide valuable information that allow local environmental departments to discover the source of pollutant and formulate water resource management strategies.