摘要
鉴于水资源脆弱性评价等级标准中存在很多不确定性因素,从内部自然承载和外部压力驱动两个角度出发,构建水资源脆弱性综合评价指标体系,同时结合SPA和灰色聚类法理论,以灰色聚类系数代替对应的联系度分量,引入灰色三角白化权函数处理等级标准中的不确定性信息,并综合考虑主客观因素,计算指标权重,提出灰色三角白化权SPA模型,将其运用到某市的脆弱性综合评估中。评价结果显示,某市2014年评价等级为较不脆弱,与实际情况一致,可见优化后的模型能更好地处理等级标准中的不确定性信息;该市应在积极制定水资源管理条例,避免水资源量过度开采的同时,加大对河流水污染的治理强度,以改善水质,恢复良好的水生生态系统。
In view of many uncertainties of evaluation level standards in the process of water resources vulnerability evaluation,index system of water resources vulnerability evaluation is established by considering taking natural internal factor and external pressures drive carrying factor.Moreover,the corresponding components of connection degree are replaced by different classes of gray clustering coefficient in the gray clustering method based on the combination of the traditional set pair analysis model with the grey clustering method.It leads the trigonometrically whiten weight function into the process of dealing with uncertainty information of level standards.At the same time,it determines the index weight by using combination weighting approach which combines the subjective methods with the objective methods.A set pair analysis model is established based on the trigonometrically whiten weight function.Finally,the model is applied to water resources vulnerability evaluation instance of a city.The results show that the evaluation level of the city in 2014 is less vulnerable,which is consistent with the actual situation.Therefore,it is better for the improved model to deal with uncertainty information of level standards.While for the evaluation results,on the one hand,it should make efforts to develop the water management regulations to avoid over-exploitation of water resources;on the other hand,it need to increase the intensity of river water pollution control in order to improve the water quality and recover the favorable aquatic ecosystems.
出处
《水电能源科学》
北大核心
2016年第6期18-21,5,共5页
Water Resources and Power
基金
国家重点基础研究发展计划(973计划)(2012CB417006)
"十一五"国家科技支撑计划(2009BAC56B03)
关键词
灰色三角白化权函数
集对分析模型
组合赋权法
水资源脆弱性评价
trigonometrically whiten weight function
set pair analysis model
combination weighting approach
water resources vulnerability evaluation