摘要
用水结构研究是协调水资源与经济社会发展关系的重要部分。以湖北省黄石市2001—2019年用水数据为基础,运用信息熵、均衡度和灰色关联模型,对该区域用水结构特征及其驱动因子进行分析研究。结果表明:2001—2019年黄石市总用水量由1.137×10^(9)m^(3)增加到1.886×10^(9)m^(3),2004年后工业用水量占比常年在60%以上;农业用水量维持在3×10^(8)~4×10^(8)m^(3),但占比逐年下降;2012年后生活用水量快速增长,而生态用水量常年变化不大。用水结构信息熵和均衡度在2007年前呈现降低趋势,2007年后呈现升高趋势。规模以上工业企业单位数、耕地面积、城镇居民人均消费支出和公园面积与工业、农业、生活和生态用水灰色关联度分别为0.84、0.92、0.84和0.77,是影响其用水总量变化的主要驱动因子。
The water utilization structure study is an important part in coordination of the relationship between water resources and economic-social development.Based on the data during 2001 and 2019,the water utilization structure and driving factors in Huangshi city were analyzed by the theory of information entropy,equilibrium degree,and grey relational model.The results show that the total water consumption of Huangshi City increased from 1137 million m^(3)in 2001 to 1886 million m^(3)in 2009.The annual industrial water consumption accounted for more than 60%of the total after 2004,while the proportion of the agricultural water con⁃sumption decreased year by year with its total consumption maintained at 300~400 million m^(3).After 2012,domestic water consump⁃tion increased rapidly,while ecological water consumption changed little all year round.The information entropy and equilibrium degree of the water structure first reduced then increased with a turning point in 2007.The major driving factors for the changes in industry,agriculture,domestic and ecological water consumption were the number of industrial enterprises above the designat⁃ed size,the cultivated land area,the per capita consumption expenditure of urban residents,and the park area,with their grey rela tion degree of 0.84、0.92、0.84 and 0.77,respectively.
作者
张勇
徐建锋
李超
ZHANG Yong;XU Jianfeng;LI Chao(Hydrology and Water Resources Survey Bureau of Huangshi City,Huangshi 435002,China;Changjiang Water Resources Protection Institute,Wuhan 430051,China)
出处
《三峡生态环境监测》
2022年第2期53-58,共6页
Ecology and Environmental Monitoring of Three Gorges
关键词
驱动因子
均衡度
灰色关联度
水资源
driving factor
equilibrium degree
grey relational degree
water resource
