基于熵权–云模型的某水库水质评价研究
Water Quality Evaluation of a Reservoir Based on Entropy Cloud Model
DOI: 10.12677/AAM.2022.1110760, PDF,    科研立项经费支持
作者: 孟朝霞：山西能源学院能源与动力工程系，山西 太原；尹 萍, 贾宏恩*：太原理工大学数学学院，山西 太原
关键词: 水质评价；熵权云模型；水质变化趋势；Water Quality Evaluation； Entropy Power Cloud Model； Changing Trends in Water Quality
摘要: 水质评价对水环境保护、水污染控制方面起着至关重要的作用。本文为评估某水库近年水质及其变化趋势，引入熵权云模型，选择溶解氧(DO)等6个水质指标作为评价因子，并采用熵权法计算各评价因子的权重，于云模型中输入2018年1月至2020年12月期间的水质实测数据，得到各个评价因子的确定度以及根据权重计算的各取样点的综合确定度，再根据最大确定度确定各取样点的水质级别。结果表明近年该水库水质稳定，维持在较好状态，但对于氨氮(NH3-N)，溶解氧(DO)，总磷(P)这三个指标仍存在较大不足，应采取针对性治理措施，进一步提升水质。
Abstract: Water quality evaluation plays a vital role in water environmental protection and water pollution control. In this paper, in order to assess the water quality and its change trend of a reservoir in re-cent years, the entropy weight cloud model is introduced, 6 water quality indicators such as dis-solved oxygen (DO) are selected as evaluation factors, and the entropy weight method is used to calculate the weights of each evaluation factor, and the water quality measurement data of a total of 35 months from January 2018 to December 2020 (of which there is no measured data due to the epidemic situation in January 2020) is input into the cloud model, and the determination of each evaluation factor and the comprehensive determination of each sampling point based on weight calculation are obtained. The maximum degree of certainty determines the water quality level of each sampling point. The results show that in recent years, the water quality of the reservoir has been stable and maintained in a good state, but there are still major deficiencies in the three indi-cators of ammonia nitrogen (NH3-N), dissolved oxygen (DO), and total phosphorus (P), and targeted treatment measures should be taken to further improve the water quality.
文章引用：孟朝霞, 尹萍, 贾宏恩. 基于熵权–云模型的某水库水质评价研究[J]. 应用数学进展, 2022, 11(10): 7161-7172. https://doi.org/10.12677/AAM.2022.1110760

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