Evaluation Model on Regional Water Shortage Risk Based on Support Vector Machine
In this paper, an evaluation method for water shortage risk based on Support Vector Regression is presented, and an evaluation model for water shortage risk based on SVR is built regarding risk assessment conclude to one SVR problem. The risk rate, weakness, possibility of recovery, period for reoccurrence, risk level is defined as the index for evaluation on shortage risk of regional water resources. The suggested method is used to evaluate the water shortage risk of Zhanghe irrigation region in Hubei province in the current year 2010 and 2020.The result shows that the water shortage risk of Zhanghe irrigation region is in a medium level. The prediction results are in line with the situation about the level of exploitation and utilization and shortage of water. It is more operative and practical that this model is applied to evaluate water shortage.
Support vector regression Water shortage Risk assessment Zhanghe irrigation region
Han Yuping Wang Fuqiang Wang Ningjuan Wang Dangxian
North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou ,450011 China Institute of Water Resources and Hydropower Research, Beijing, 100044
国际会议
郑州
英文
1564-1569
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）