title: Assessment model of ecoenvironmental vulnerability based on improved entropy weight method.
abstract: Assessment of ecoenvironmental vulnerability plays an important role in the guidance of regional planning, the construction and protection of ecological environment, which requires comprehensive consideration on regional resources, environment, ecology, society and other factors. Based on the driving mechanism and evolution characteristics of ecoenvironmental vulnerability in cold and arid regions of China, a novel evaluation index system on ecoenvironmental vulnerability is proposed in this paper. For the disadvantages of conventional entropy weight method, an improved entropy weight assessment model on ecoenvironmental vulnerability is developed and applied to evaluate the ecoenvironmental vulnerability in western Jilin Province of China. The assessing results indicate that the model is suitable for ecoenvironmental vulnerability assessment, and it shows more reasonable evaluation criterion, more distinct insights and satisfactory results combined with the practical conditions. The model can provide a new method for regional ecoenvironmental vulnerability evaluation.
authors.affiliation: College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
authors.forename: Xianqi
authors.initials: X
authors.lastname: Zhang
authors.affiliation: College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
authors.forename: Chenbo
authors.initials: C
authors.lastname: Wang
authors.affiliation: Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China.
authors.forename: Enkuan
authors.initials: E
authors.lastname: Li
authors.affiliation: College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
authors.forename: Cundong
authors.initials: C
authors.lastname: Xu
mesh_terms: D002681:China; D019277:Entropy; D004784:Environmental Monitoring / Q000379:methods*; D008962:Models, Theoretical