摘要
以黄河兰州段为研究对象,将模糊数学的模糊识别和最大隶属度应用到水环境质量评价中,构建模糊综合评价模型,选取2018年丰水期黄河主流6个检测断面7项水环境质量因子进行水环境质量模糊综合评价,并与单因子指数评价结果对比分析,结果表明:模糊综合评价6个检测断面水质均为Ⅰ类,单因子指数评价水质都为Ⅱ类,均达到既定的水域环境功能和保护目标限值,模糊综合评价在综合考虑各项污染因子对水质的贡献的同时,将不同水质类别分界线模糊化,更能全面客观的反映水环境质量状况.
Taking the Lanzhou section of the Yellow River as the research object,this paper applied the fuzzy recognition and the maximum membership degree of fuzzy mathematics to evaluate the water environment quality,the fuzzy synthetic evaluating model was established,7 water quality parameters of 6 mainstream sections in the wet season of 2018 has been selected and compared with the single factor index evaluation.The results show that the water quality of the fuzzy comprehensive evaluation of 6 sections are all of class Ⅰ,while the water quality of the single factor index evaluation are of class Ⅱ,all of them have reached the established limits of water environmental function and protection target limits.By comparison,the fuzzy comprehensive evaluation can reflect the water environment quality more comprehensively and objectively by considering the contribution of various pollution factors to water quality comprehensively and blurring the boundary line of different water quality categories.
作者
李晓燕
张国珍
张红斌
周添红
LI Xiao-yan;ZHANG Guo-zhen;ZHANG Hong-bin;ZHOU Tian-hong(School of Environmental and Municipal Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;School of Civil Engineering,Lanzhou University of Technology,Lanzhou 730070,China;China Municipal Engineering Northwest Design and Research Institute Co.Ltd,Lanzhou 730070,China)
出处
《兰州交通大学学报》
CAS
2020年第3期96-102,共7页
Journal of Lanzhou Jiaotong University
基金
国家自然基金(51768031)
甘肃省重点研发计划(17YF1NA056)。
关键词
模糊数学模型
黄河兰州段
水环境质量评价
fuzzy mathematical model
Lanzhou section of the Yellow River
water environment quality evaluation
