College of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China E-mail:
Jiangsu Hydraulic Engineering Construction Co., Ltd, Yangzhou 225127, China.
Water Sci Technol. 2023 Oct;88(8):2160-2173. doi: 10.2166/wst.2023.303.
To ensure the water quality of rivers, it is crucial to scientifically evaluate their water quality status. This study takes a river in Jiangsu, China, as an example to establish six targeted main indicators for river water quality evaluation and uses a projection pursuit model optimized by the genetic algorithm to determine weights. Applying the improved fuzzy evaluation model to the final evaluation of water quality, the results indicate that this article adopts a weight calculation model that reduces dimensionality without losing data features, and the comprehensive evaluation model is also more complete, resulting in more accurate evaluation results. According to model analysis, the summer water quality is good and peaks from June to July. This article proposes corresponding measures and suggestions in response to the reasons behind this seasonal change. The evaluation model used in this article is superior to other models in terms of accuracy and portability, making it an excellent choice for river water quality evaluation. It can provide valuable technical guidance for similar river water quality evaluations.
为确保河流的水质，科学评估其水质状况至关重要。本研究以中国江苏的一条河流为例，建立了六项针对河流水质评估的目标性主要指标，并采用遗传算法优化的投影寻踪模型来确定权重。最后，运用改进的模糊评价模型对水质进行综合评价，结果表明，本文采用的权重计算模型在不失数据特征的情况下降低了维度，综合评价模型也更加完整，从而得到更准确的评价结果。根据模型分析，夏季水质良好，从六月到七月达到峰值。本文针对这种季节性变化的原因提出了相应的措施和建议。本文使用的评价模型在准确性和可移植性方面优于其他模型，是河流水质评价的理想选择。它可以为类似的河流水质评价提供有价值的技术指导。
