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基于信息熵的新疆用水结构演变与驱动因子灰色关联研究 被引量:3

Analysis of Grey Relation Degree Based on Water Utilization Evolution and Driving Force of Information Entropy in Xinjiang
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摘要 基于2004—2014年新疆农业用水、工业用水、生活用水以及生态用水的数据,采用信息熵的方法描述新疆用水结构的演变规律,运用灰色关联度分析影响用水结构演变的主要驱动力。结果表明:新疆近年来用水结构的信息熵和均衡度总体上都呈现出下降的趋势,说明新疆各部门间用水结构更加趋于不平衡的发展状态。灰色关联度结果反映出用水结构演变多方面因素有着联系,其中产业结构的影响最大。因此,新疆应调整产业结构使之与水资源协调发展,开展农业节水工程,保障必要的生态用水量,以提高本地区的水资源开发利用结构的稳定性和均衡性。 Based on the data analysis including agricultural water,industrial water and domestic water and ecological water in Xinjiang( 2004-2014,information entropy was used to describe the process of water utilization structure. By use of grey relational degree analysis,the major driving forces of the change were found out. The results indicate that the information entropy and balance degree of water utilization structure in Xiamen is approaching to decreasing tendency and between each department in Xinjiang water structure more tend to be unbalanced state of development. The results of grey relational degree reflect the structure evolution factors and have contacted with water,in which the influence of industrial structure is the largest. Therefore,Xinjiang should adjust the industrial structure and the coordinated development of water resources to carry out the agricultural water-saving projects,ensuring the necessary ecological water use in order to improve the structure and utilization of water resources in the region of stability and balance.
作者 乔凯
出处 《怀化学院学报》 2016年第6期28-32,共5页 Journal of Huaihua University
基金 新疆优秀青年科技创新人才培养项目"循环经济发展背景下新疆产业用水效率评价 预警与调控研究"(2014721013) 新疆财经大学研究生科研项目"新疆工业用水利用效率 影响因素及预警研究"(XJUFE2016K071)
关键词 用水结构 信息熵 灰色关联度 新疆 water utilization structure information entropy grey relational degree Xinjiang
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