Evaluation Of Water Ecological Security In Yangzhou Region Of The Jianghuai Ecological Corridor Based On DPSIR Model

Water ecological security is not only related to the regional ecological environment,but also related to the social and economic development of the region.Jianghuai Ecological Corridor Yangzhou area’s water ecological security not only plays an significant role in Yangzhou’s economic and social development,but also has important influences on the Yangtze River Protection,the South-to-North Water Diversion proj ect,the Huaihe Ecological Economic Belt Construction,and the construction of the Grand Canal Cultural Belt.Based on the improved DPSIR(Driver-Pressure-State-Impact-Response)model,this paper preliminarily constructs a water ecological security evaluation index system that complies with the characteristics of the Jianghuai Ecological Corridor Yangzhou region.This paper attempt to combine the fuzzy system analysis method and the information sensitivity method to select indicators to form a water ecological safety evaluation index system suitable for the Yangzhou area of the Jianghuai Ecological Corridor;.In order to avoid the uncertainty of the combination proportion in the comprehensive weighting method and reduce the weight consistency test and other complex contents,this paper proposes a G2 weighting method based on information sensitivity to give a reasonable weight value to the water ecological security evaluation index.The evaluation level of each district is obtained by using the asy:mmetric connection cloud for evaluation,and then the subtraction set is used to diagnose the vulnerable index layer and the vulnerable index of the aquatic ecological security.This paper attempts to apply the recently developed ELM model to the simulation prediction of water ecological secuity evaluation in Yangzhou area.At the same time,PSO and BA are used to optimize the prediction of ELM model,and finally a reasonable simulation prediction model is obtained.The research results are as follows:(1)Based on the DPSIR model,establish a water ecological safety evaluation index system applicable to the Yangzhou area of the Jianghuai Ecological Corridor.Reclassify the status bar in the DPSIR model,one is the state under pressure and driving force,and the other is the natural condition under no pressure.At the same time,comprehensive fuzzy system analysis and information sensitivity were used to select indicators,and finally 22 indicators were obtained.(2)The water ecological safety of the Yangzhou area of the Jianghuai Ecological Corridor from 2012 to 2017 was evaluated.In general,the state of aquatic ecological security was the best in 2015;in terms of subregions,the aquatic ecological security in Guangling District showed a trend of improvement.The Hanjiang District as a whole was basically in a safe state,and the Jiangdu District was in the repeated fluctuations of safety and insecurity.The overall security situation was better in the later years,and Baoying County and Gaoyou City fluctuated between safe and relatively safe conditions.At the same time,I learned that the most vulnerable criterion layers in the five regions all have a driving criterion layer and a stress criterion layer,and at the same time obtain the vulnerability factors of each region.(3)The water ecological safety of the Yangzhou area of the Jianghuai Ecological Corridor from 2012 to 2017 was evaluated.In general,the state of aquatic ecological security was the best in 2015;in terms of subregions,the aquatic ecological security in Guangling District showed a trend of improvement.The Hanjiang District as a whole was basically in a safe state,and the Jiangdu District was in the repeated fluctuations of safety and insecurity.The overall security situation was better in the later years,and Baoying County and Gaoyou City fluctuated between safe and relatively safe conditions.At the same time,I learned that the most vulnerable criterion layers in the five regions all have a driving criterion layer and a stress criterion layer,and at the same time obtain the vulnerability factors of each region.