Developing an Interactive Spatial Multi-Attribute Decision Support System for Assessing Water Resources Allocation Scenarios

Ebrahim Mokallaf Sarband (), Shahab Araghinejad () and Jalal Attari ()
Additional contact information
Ebrahim Mokallaf Sarband: Shahid Beheshti University
Shahab Araghinejad: Stantec
Jalal Attari: Shahid Beheshti University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2020, vol. 34, issue 2, No 1, 447-462

Abstract: Abstract In water resource management, assessing water resource allocation scenarios (WRASs) is an important multi-attribute decision making (MADM) problem. It involves spatially varied indicators, which interact with each other and impacts of the scenarios. These attributes are often simplified by using conventional Decision Support Systems (DSSs). In present research, a novel interactive spatial DSS for assessment of WRASs was developed. Effects of indicators type, decision matrix structures, and MADM models on priorities and ranks of scenarios were investigated in Aras basin. Sensitivity analysis of results showed that the interactive structure, comprising spatially distributed indicators and analytical network process (SANP), was the most stable model in terms of ranking. Providing more realistic results, the developed SDSS can be applied in other basins or for other MADM problems.

Keywords: Water resources allocation; Decision support system; Multi-attribute decision making; AHP; ANP (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s11269-019-02291-y 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:34:y:2020:i:2:d:10.1007_s11269-019-02291-y

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

DOI: 10.1007/s11269-019-02291-y

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 ().