Study on Coupling Coordination Relationship and Influencing Factors Between Urbanization and Water Resources
In order to promote the coordinated and efficient development of the relationship between urbanization and water resources,pro-mote the sustainable construction of cities,and promote the rational utilization of water resources in the basin,the comprehensive index chan-ges of the two urbanization and water resources systems in the Majia River watershed from 2006 to 2015 were calculated and analyzed.Using the coupling coordination and grey correlation model,the spatial-temporal characteristics and main interactive influencing factors of the cou-pling relationship changes between urbanization and water resources in the watershed were analyzed.The results show that a)both the urbani-zation index of the watershed and the composite index of water resources show a general increase,with the composite index of urbanization in-creasing from 0.001 to 0.940 and the composite index of water resources increasing from 0.368 to 0.598.Among them,the indicators of popu-lation urbanization and water resources utilization level have the greatest effect on each system composite index.b)In terms of time,the de-gree of urban-water coupling in the watershed shows a fluctuating upward trend,and the degree of coupling coordination and the level of cou-pling coordination increase significantly,developing from serious disorder to good coordination;Spatially,there are significant regional differ-ences in the degree of urban-water coupling coordination,and the degree of coupling coordination of each city is Handan＞Dezhou＞Binzhou＞Liaocheng＞Puyang,and the overall coordination of urban-water systems in the cross-provincial watershed has more room for improvement.c)The watershed urbanization and the water resources system exhibit a medium to high degree of interaction.Among them,urban road area per capita and urban drainage pipe length are the most correlated influencing factors for each system,while urban population density and wa-ter pressure index are the least correlated influencing factors.
urbanizationwater resourcescoupling coordinationgrey correlation degreeMajia River watershed
万方数据
维普
