Water Resources Risk Assessment Model based on the Subjective and Objective Combination Weighting Methods

Jun Zhao (), Juliang Jin, Jiezhong Zhu, Jinchao Xu, Qingfeng Hang, Yaqian Chen and Donghao Han
Additional contact information
Jun Zhao: Nanjing University of Information Science and Technology
Juliang Jin: Hefei University of Technology
Jiezhong Zhu: Nanjing University of Information Science and Technology
Jinchao Xu: Nanjing Hydraulic Research Institute
Qingfeng Hang: Jiangsu Provincial Hydrology and Water Resources Investigation Bureau
Yaqian Chen: Pearl Water Resources Protection Institute
Donghao Han: Nanjing University of Information Science and Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 9, No 9, 3027-3042

Abstract: Abstract In order to fully protect water resources and govern water pollution, a water resources risk assessment model based on the subjective and objective combination weighting methods is studied in this paper. The model takes risk indices in water resources system as research object, and extracts the different index information from various angles. In this study, firstly, according to system evaluation standard, it constructs the judgment matrix by the subjective judgment and objective calculation method. Secondly, it applies the improved analytic hierarchy process with accelerating genetic algorithm for modifying the consistency of judge matrix to calculate the single sample weight and sample set weight. Thirdly, it uses water resources type of evaluation index and the level of sample evaluation index values to determine the combination weights. After that, the systematic comprehensive evaluation index can be obtained by taking a weighted Average of these combined weights and the consistent-dimensionless sample values for each evaluation index. Then, it classifies and sorts the samples by the comprehensive evaluation value. Finally, on the basis of risk level, it puts forward the suitable planning for water resources development with reference to the real condition. This study takes Hanjiang Basin for example. After risk assessment model establishment, validation and application between the actual and simulated data, the results show that the trend of water resources risk is considered to be controlled at a certain level. This is matched with the fact. The model is feasible in scientific method, and reasonable in conclusion, which can be applied to water resources risk assessment research.

Keywords: Water resource; Risk assessment; Improved analytic hierarchy process; Accelerating genetic algorithm; The combination weighting methods (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://link.springer.com/10.1007/s11269-016-1328-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:30:y:2016:i:9:d:10.1007_s11269-016-1328-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-016-1328-4

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().