Zoning Mashhad Watershed for Artificial Recharge of Underground Aquifers using TOPSIS Model and GIS Technique

Alireza Arabameri

Zoning Mashhad Watershed for Artificial Recharge of Underground Aquifers using TOPSIS Model and GIS Technique

Alireza Arab Ameri * §

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§ Islamic Azad University

Zoning Mashhad Watershed for Artificial Recharge of Underground Aquifers using TOPSIS Model and GIS Technique

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Abstract

In recent years, coincide with population growth and industrial expansion, in many countries in the world,Extract water of underground sources expanded and annual withdrawal of ground water is higher than the annual feeding. This means extracting and using the water in layers that has been saved over thousands of years in the underground. Consequently groundwater levels in the area will be extracted every day and eventually drop where the water will not exist. While proper management and control of these resources will eliminate the problems of drop in water level. One way to managing groundwater resources is artificial recharge of groundwater and determine suitable locations for these purpose. growth and development trend of Mashhad city and excessive Extracting of ground water in recent years, has been essential groundwater resources management strategy in the region more than ever implied. The purpose of this study is Zoning Mashhad watershed for artificial recharge of underground aquifers using TOPSIS Model and GIS technique. TOPSIS algorithm is a Multi Criteria Decision Making, a type of compensatory model and an adaptable subgroup with strong ability to solve multi alternative problems because of having ability to overlap indicators in weak and power points.

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38 Cites in Article

Reference Format

1. P Abdi,Ghayoumian (2001). Determining the appropriate area for Flood distribution in Zanjan plain using geophysical data and GIS. articles of public seminar on Achievements of Aquifer Project, 86-99.
2. Raj Anand,P Kumar,D (1996). Ranking of niver basin alternative using ELECTRE. Hydrological Science, 41, 326-335.
3. R Bellman,L Zadeh (1970). Decision-Making in a Fuzzy Environment. Management Science, 17(4), B-141-B-164.
4. R Bellman,L Zadeh (1970). Decision-making in a fuzzy environment. Management Sciences, 17, 141-164.
5. C Boender,J De Graan,F Lootsma (1989). Multi-attribute decision analysis with fuzzy pairwise comparisons. Fuzzy Sets and Systems, 29, 133-143.
6. Chang Yeh,C (2002). A survey analysis of service quality for domestic airlines. European Journal of Operational Research, 139, 166-177.
7. Chen (2000). Extensions to the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1-9.
8. Chen Hwang,C (1992). Fuzzy multiple attribute decision making methods and application.
9. R Freeze,J Cherry (1979). Groundwater, prentice-Hall. Groundwater, prentice-Hall
10. H Hsu,Chen (1996). Aggregation of fuzzy opinions under group decision making. Fuzzy Sets and Systems, 79, 279-285.
11. H Hsu,Chen (1997). Fuzzy credibility relation method for multiple criteria decision-making problems. Information Sciences, 96, 79-91.
12. C Hwang,K Yoon (1981). Multiple Attribute Decision Making: Methods and Application. Multiple Attribute Decision Making: Methods and Application
13. Ching-Lai Hwang,Kwangsun Yoon (1981). Methods for Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems, 58-191.
14. Ramesh Jain (1978). A procedure for multiple-aspect decision making using fuzzy sets. International Journal of Systems Science, 8(1), 1-7.
15. R Jain (1978). A procedure for multi-aspect decision making using fuzzy sets. The International Journal of Systems Sciences, 8, 1-7.
16. Kia Heyrati,J (2004). Investigating the function of Flood distribution system in recharge of ground water table in Moughar Plain in Isfahan. Investigating the function of Flood distribution system in recharge of ground water table in Moughar Plain in Isfahan
17. Janusz Kacprzyk,Mario Fedrizzi,Hannu Nurmi (1992). Group decision making and consensus under fuzzy preferences and fuzzy majority. Fuzzy Sets and Systems, 49(1), 21-31.
18. R Keeney,H Raiffa (1976). Decision with Multiple Objective: Preference and Value Tradeoffs. Decision with Multiple Objective: Preference and Value Tradeoffs
19. Ahang Kouthar (1986). Application of flood development methods in artificial recharge of ground water tables. Olive magazine, 46(47), 16-23.
20. G Limon,Y Martinez (2006). Multi0criteria modeling of irrigation water Marked at basin level : aspsnish Case Study. Eropiangeornal of operational of Research, 173, 313-336.
21. H Lee (1999). Optimal consensus of fuzzy opinions under group decision making environment. IEEE International Conference on Systems, Man and Cybernetics, 314-319.
22. Gin-Shuh Liang (1999). Fuzzy MCDM based on ideal and anti-ideal concepts. European Journal of Operational Research, 112(3), 682-691.
23. Gin-Shuh Liang (1999). Fuzzy MCDM based on ideal and anti-ideal concepts. European Journal of Operational Research, 112(3), 682-691.
24. H Mianabadi,A Afshar (2008). Multi attribute Decision Making to rank urban water supply Scheme. water and watershed journal, 19(66), 34-45.
25. H Mianabadi,A Afshar (2007). Fuzzy group Decision Making and its Application in water Resource Planning and Management Oral Presentation Iran Water Resource Management Conference. Fuzzy group Decision Making and its Application in water Resource Planning and Management Oral Presentation Iran Water Resource Management Conference
26. S Mousavi,M; F; Chitsazan,Y Mirzaei,M; B ; Shaan,H Mohammadi (2010). Integrating remote sensing and GIS to find potential suitable areas for ground water: Kamestan Anticline area.
27. B Noori,J Ghayoumian,M; Saravi Mohseni,A Darvish-Sefat,Sadat Feiz-Nia (2005). determining suitable areas for artificial recharge of groundwater in recharge pools using GIS. Journal of Natural Foundations of Iran, 57(3), 635-647.
28. H Nurmi (1981). Approaches to collect decision making with fuzzy preference relations. Fuzzy Sets and Systems, 6, 249-259.
29. D Olson (2004). Comparison of weights in TOPSIS models. Mathematical and Computer Modelling, 40(7-8), 721-727.
30. Raj Kumar,D (1999). Ranking alternatives with fuzzy weights using maximizing set and minimizing set. Fuzzy Sets and Systems, 105, 365-375.
31. M Sedaghat (2009). Earth and its water resources. Earth and its water resources
32. A Saraf,P Choudhury (1998). Integrated Remote Sensing and GIS for Ground Water Exploration and Identification of Artificial Recharge Sites. INT.J
33. A Saraf,P Choudhury (1998). Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. International Journal of Remote Sensing, 19(10), 1825-1841.
34. S Tsaur,Chang,Yen (2002). The evaluation of airline service quality by fuzzy MCDM. Tourism Management, 23, 107-115.
35. Wang,Lee Lin,K (2003). Fuzzy TOPSIS for multi-criteria decision-making. International Mathematical Journal, 3, 367-379.
36. L Zadeh (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
37. H-J Zimmermann (1987). Individual Decision Making in Fuzzy Environments. Fuzzy Sets, Decision Making, and Expert Systems, 15-44.
38. H-J Zimmermann (1991). Possibility Theory, Probability Theory, and Fuzzy Set Theory. Fuzzy Set Theory — and Its Applications, 109-127.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Alireza Arabameri. 2015. "Zoning Mashhad Watershed for Artificial Recharge of Underground Aquifers using TOPSIS Model and GIS Technique". Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 14 (GJHSS Volume 14 Issue B8).

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GJHSS Volume 14 Issue B8

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords

algorithm TOPSIS aquifer artificial recharge Groundwater Watershed Mashhad zoning

Classification

GJHSS-B Classification FOR Code: 050299

Submission ReceivedDecember 13, 2013
Peer Review Double Blind
Handling Editor
Accepted January 4, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

January 17, 2015

Language

English

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Article Matrices

Total Score: 81

Country: Iran

Subject: Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management

Authors: Alireza Arabameri (PhD/Dr. count: 0)

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