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基于模糊综合法和灰色关联法的百花湖水质评价
敖成欢, 钟九生, 赵梦, 黄国金, 段纪维, 江丽
贵州师范大学 地理与环境科学学院, 贵州 贵阳 550001
摘要:
[目的] 为有效防止水质的不可逆污染和破坏,以喀斯特高原区域的百花湖为研究对象,揭示其历年水质及其变化情况,为相关的水资源管理部门科学开发、利用及保护该水源地提供依据。[方法] 利用百花湖2013-2016年的8项水体实测理化参数参与分析,为使水质评价结果更为客观,采用模糊综合评价法、灰色关联分析法对百花湖水质进行综合评价。[结果] 百花湖整体为Ⅰ类水质,但Ⅱ类、Ⅳ类、Ⅴ类隶属值都较大。[结论] 百花湖水质有变差的趋势,其生态环境防治对策势在必行。
关键词:  百花湖水库  模糊综合评价法  灰色关联分析法  水质分析
DOI:10.13961/j.cnki.stbctb.2020.01.017
分类号:X824
基金项目:国家自然科学基金项目"面向喀斯特区的光学遥感影像超分辨率重建研究"(41661081);贵州省水利厅项目"基于GIS的灌区数字化系统研究:以云雾灌区为例"(KT201706)
Evaluation on Water Quality Evaluation of Baihua Lake Based on Fuzzy Comprehensive Method and Grey Correlation Method
Ao Chenghuan, Zhong Jiusheng, Zhao Meng, Huang Guojin, Duan Jiwei, Jiang Li
College of Geography and Environmental Science, Guizhou Normal University, Guiyang, Guizhou 550001, China
Abstract:
[Objective] To effectively prevent the irreversible water pollution and damage in Baihua Lake in the karst plateau region, the lake was taken as a research object and its water quality and changes over years were studied. This was aimed to provide a basis for the scientific development, utilization, and protection of the water source for relevant water resource management departments.[Methods] Based on an analysis of the physical and chemical parameters of the eight water bodies in Baihua Lake from 2013 to 2016, and to ensure that the water quality evaluation results were as objective as possible, the fuzzy comprehensive evaluation and grey correlation analysis methods were used to comprehensively evaluate the water quality of Baihua Lake and to reveal the category that its water quality could be classified.[Results] Baihua Lake had class Ⅰ water quality, but the class Ⅱ, Ⅳ, and Ⅴ values were relatively high.[Conclusion] The quality of water in Baihua Lake is getting worse. It is imperative to propose countermeasures to stabilize the ecological environment.
Key words:  Baihua Lake reservoir  fuzzy comprehensive evaluation method  grey relational analysis method  water quality analysis