RESEARCH ON WATER RESOURCES CARRYING CAPACITY OF CHANGZHOU CITY BASED ON NEURAL NETWORK

被引：0
|
作者：
Liu, Mengyu [1 ]
Zhang, Jianyong [2 ]
Wang, Chenhui [1 ]
Liu, Hui [1 ]
机构：
[1] Hohai Univ, Sch Business Adm, Changzhou 213022, Peoples R China
[2] Hohai Univ, Dept Math & Phys, Changzhou 213022, Peoples R China
来源：
FRESENIUS ENVIRONMENTAL BULLETIN | 2019年 / 28卷 / 04期
关键词：
Water Resources Carrying Capacity; BP Neural Network; Water Resource Forecast;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In order to predict and evaluate the future water resources carrying capacity (WRCC) of Changzhou, a prediction method (PM) is proposed based on BP neural network. The neural network is used to predict the indicators of WRCC in Changzhou in 2020, and the overall effect is predicted to be good. Finally, it is concluded that Changzhou's future COD concentration, water efficiency and per capita GDP are at level 3, indicating that Changzhou will perform better in terms of water resources quality, water resources utilized level and socioeconomic level in the future. However, the utilization rate of water resources is at level 2, indicating that the water supply capacity is somewhat insufficient in the future, and the per capita water resources are at level 1, indicating that there is a shortage of water resources. Finally, the article puts forward reasonable suggestions for the specific situation of water resources in Changzhou.
引用
收藏
页码：2725 / 2732
页数：8
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