Urban water resources allocation and shortage risk mapping with support vector machine method

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• 作者：Qian Zhang ; Xiujuan Liang ; Zhang Fang ; Tao Jiang ; Yubo Wang ; Lei Wang
• 关键词：Water shortage ; MIKE ; BASIN ; SVM model ; Risk level assessment
• 刊名：Natural Hazards
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：81
• 期：2
• 页码：1209-1228
• 全文大小：1,897 KB
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• 作者单位：Qian Zhang (1)
  Xiujuan Liang (1)
  Zhang Fang (1)
  Tao Jiang (2)
  Yubo Wang (1)
  Lei Wang (3)
  
  1. Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China
  2. Songliao Water Resources Committee, Changchun, 130021, China
  3. Tongliao Institute of Water, Tongliao, 028000, Inner Mongolia, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Hydrogeology
  Geophysics and Geodesy
  Geotechnical Engineering
  Civil Engineering
  Environmental Management
  
• 出版者：Springer Netherlands
• ISSN：1573-0840

文摘

The assessment of urban water shortage risk is crucial to the development of management strategies that enable a more systematic allocation of water resources and effectively reduce societal losses. The present work proposes a comprehensive approach to the thorough evaluation of water shortage risk in an urban basin. We focus on a case study in Jilin City, demonstrating the suitability of the proposed method. The development and utilization of hydric resources in Jilin City is both evaluated and simulated using the MIKE BASIN model, involving hydrological data from 1956 to 2010. Furthermore, this investigation provides a comparison between measured and analog quantity results during the period 2001–2010, yielding an acceptable average relative error of 4.478 %. Five indicators, namely, hazard rate, restorability, vulnerability, recurrence period, and risk level are investigated with the purpose of organizing the assessment system prior to mapping the level of water shortage risk with the SVM model. The data calculated from both the MIKE BASIN model and the emergency conditions are used to formulate five indicators of water shortage assessment. Finally, the level of water shortage risk is determined for six sub-basins in Jilin City. Several schemes are capable of improving the water supply and alleviating the shortage conditions. Keywords Water shortage MIKE BASIN SVM model Risk level assessment