基于主成分分析的多种水质评价方法综合研究——以伊通河中游浅层地下水为例
MULTIPLE WATER QUALITY ASSESSMENT METHODS BASED ON PRINCIPAL COMPONENT ANALYSIS: A Case Study of Shallow Groundwater in the Middle Reaches of Yitong River
-
摘要: 伊通河中游地区浅层地下水水质退化日趋严重, 开展水质现状调查对水资源保护及利用具有重要意义. 针对目前多种水质评价方法, 选择适当的水质评价模型是研究地下水质量现状的重中之重. 按地貌类型分别采集低山丘陵区、波状台地、阶地及河漫滩区水质样品共计30件, 运用舒卡列夫分类法、Piper三线图等相关统计分析法对地下水水化学特征进行了分析. 利用主成分分析法初选评价指标, 降低数据维度, 得出水质评价的主要成分, 随后运用模糊评价法对地下水质量进行评价, 并与单项指标法、内梅罗综合指数法进行对比分析. 结果显示, 研究区水质整体较差, 以Ⅴ类水为主, 仅低山丘陵区水质较好; 选取的多种评价方法中, 模糊综合评价考虑了评价因子之间的相互作用, 反映了水质的整体程度, 评价结果相对可靠, 可作为水质评价的首选评价方法.Abstract: As the degradation of shallow groundwater quality in the middle reaches of Yitong River is becoming more and more serious, it is of great significance to investigate the current situation of water quality for protection and utilization of water resources. In view of the various water quality assessment methods at present, selecting an appropriate assessment model is of primary importance to study the status of groundwater quality. A total of 30 water quality samples are collected from low hilly area, undulating platform, terrace and flood plain in terms of geomorphologic types, and the hydrochemical characteristics of groundwater are analyzed by relevant statistical analysis such as Schukalev classification and Piper diagram. Principal component analysis(PCA) is used for the preliminary selection of assessment indexes, reducing the data dimension and getting the main components of water quality assessment. Then fuzzy evaluation method is used to assess groundwater quality, and compared with single index method and Nemerow comprehensive index method. The results show that the water quality in the study area is generally poor, dominated by Class V water quality, with good quality only in the low hilly areas. Among the various selected assessment methods, fuzzy comprehensive evaluation considers the interaction between evaluation factors and reflects the overall water quality, with relatively reliable evaluation results, which can be used as the first choice for water quality assessment.