Volume 6, Issue 4 (2018)
ECOPERSIA 2018, 6(4): 205-214 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Sardar Shahraki A, Shahraki J, Hashemi Monfared S.A. S. An Integrated Fuzzy Multi-Criteria Decision-Making Method Combined with the WEAP Model for Prioritizing Agricultural Development, Case Study: Hirmand Catchment. ECOPERSIA 2018; 6 (4) :205-214
URL: http://ecopersia.modares.ac.ir/article-24-16023-en.html
URL: http://ecopersia.modares.ac.ir/article-24-16023-en.html
1- Agricultural Economics Department, Agricultural Faculty, University of Sistan and Baluchestan, Zahedan, Iran , a.shahraki65@gmail.com
2- Agricultural Economics Department, Economics and Management Faculty, University of Sistan and Baluchestan, Zahedan, Iran
3- Civil Engineering Department, Basic Sciences Faculty, University of Sistan and Baluchestan, Zahedan, Iran
2- Agricultural Economics Department, Economics and Management Faculty, University of Sistan and Baluchestan, Zahedan, Iran
3- Civil Engineering Department, Basic Sciences Faculty, University of Sistan and Baluchestan, Zahedan, Iran
Abstract: (5696 Views)
Aims: Water is a basic demand of sustainable development in every region of the world. Hirmand catchment is one of the most important cross-border of Iran basins affected by the recent drought periods from water scarcity and caused severe crisis in the Sistan region. Fuzzy theory is able to convert most incorrect and enigmatic concepts, variables and systems into a mathematical form and set the context for reasoning, deduction and decision making at uncertainty conditions. The aim of this study was to simulate the Hirmand catchment by Water Evaluation and Planning System (WEAP) model and prioritization of the implementation of agriculture development projects in Hirmand catchment.
Materials & Methods: In this analytical-computational study, water development projects in the study area were predicted. The effects of the water development projects predicted using WEAP model and the projects according to the economic criteria was evaluated and prioritized with Fuzzy Technique for Order Preference by Similarity to Ideal Situation (TOPSIS). Ten water development projects and criteria including 5 economic indexes were considered.
Findings: Water transfer project to agricultural field called Zehak and Sistan were the first priorities which is needed for noticing target population to these projects. Irrigation efficiency (70%) was in the third rank among the options.
Conclusion: The remarkable thing in the ranking of scenarios is that the current account scenario (SC1) is lasted ranking that shows Sistan region's water status, according to the study criteria is not good.
Materials & Methods: In this analytical-computational study, water development projects in the study area were predicted. The effects of the water development projects predicted using WEAP model and the projects according to the economic criteria was evaluated and prioritized with Fuzzy Technique for Order Preference by Similarity to Ideal Situation (TOPSIS). Ten water development projects and criteria including 5 economic indexes were considered.
Findings: Water transfer project to agricultural field called Zehak and Sistan were the first priorities which is needed for noticing target population to these projects. Irrigation efficiency (70%) was in the third rank among the options.
Conclusion: The remarkable thing in the ranking of scenarios is that the current account scenario (SC1) is lasted ranking that shows Sistan region's water status, according to the study criteria is not good.
Keywords: Fuzzy Multiple Attribute Decision Making, WEAP Model, Prioritize, Agriculture Development Project, Hirmand Catchment
Article Type: مقاله Ø§Ø³ØªØ®Ø±Ø§Ø Ø´Ø¯Ù‡ از پایان نامه |
Subject:
Aquatic Ecology
Received: 2017/09/7 | Accepted: 2018/01/16 | Published: 2018/11/21
Received: 2017/09/7 | Accepted: 2018/01/16 | Published: 2018/11/21
References
1. Zahmatkesh M, Ahmady SMR. Guide to the application of the 5th Five-Year Development Plan Act of the Islamic Republic of Iran. Tehran: Kohsar; 2011. [Persian] [Link]
2. Bouwer H. Integrated water management: Emerging issues and challenges. Agric Water Manag. 2000;45(3):217-28. [Link] [DOI:10.1016/S0378-3774(00)00092-5]
3. Rashki A, Kaskaoutis DG, De W Rautenbach CJ, Eriksson PG, Qiang M, Gupta P. Dust storms and their horizontal dust loading in the Sistan region, Iran. Aeolian Res. 2012;5:51-62. [Link] [DOI:10.1016/j.aeolia.2011.12.001]
4. Van Beek E, Meijer K. Integrated water resources management for the Sistan closed inland delta Iran [Internet]. Delft: WL Delft Hydraulics; 2006 [cited 2006 April 15]. Available from: http://bit.ly/2vFzRxg. [Link]
5. Zarghami M, Szidarovszky F, Ardakanian R. Multi-attribute decision making on inter-basin water transfer projects. Scientia Iranica. 2009;16(1):73-80. [Link]
6. Moemeni M. New topics of operation research. 1st Edition. Tehran: University of Tehran; 2005. [Link]
7. Russel JS, Skibniewski MJ. Decision criteria in contractor prequalification. J Manag Eng. 1988;4(2):148-64. [Link] [DOI:10.1061/(ASCE)9742-597X(1988)4:2(148)]
8. Shafaiyan Fard D, Koohiyan Afzal F, Yakhkeshi ME. Determination of top options in utilization of water resources using WEAP model and multi attribute decision-making analysis (Case study: Zaryngol basin). J Watershed Manag Res. 2014;5(9):29-45. [Persian] [Link]
9. Talebi E, Ghorbani MA, Daneshfaraz R. Prioritize water allocation Gheshlagh dam in Sanandaj using fuzzy hierarchical analysis (FAHP). 5th Iranian Water Resources Management Conference, Shahid Beheshti University. Tehran: Iranian Water Resources association; 2014. [Persian] [Link]
10. Abrishamchi A, Ebrahimiyan A, Tajrishi A. Application of multiple criteria decision making in urban water management. 2nd Asian Conference of Water and Watershed Management Processes, Iran, Tehran. Tehran: Unknown; 2001. [Persian] [Link]
11. Razavi Toosi SL, Samani JMV, Koorehpazan Dezfuli A. Ranking inter-basin water resources projects using fuzzy multiple attribute group decision making method. Iran Water Resour Res J. 2007;3(2):1-9. [Persian] [Link]
12. Sasikumar K, Mujumdar PP. Fuzzy optimization model for water quality management of a river system. J Water Resour Plan Manag. 1998;124(2):79-80. [Link] [DOI:10.1061/(ASCE)0733-9496(1998)124:2(79)]
13. Chuntian C. Fuzzy optimal model for the flood control system of the upper and middle reaches of the Yangtze River. Hydrol Sci J. 1999;44(4):573-82. [Link] [DOI:10.1080/02626669909492253]
14. Fu G. A fuzzy optimization method for multicriteria decision making: An application to reservoir flood control operation. Expert Syst Appl. 2008;34(1):145-9. [Link] [DOI:10.1016/j.eswa.2006.08.021]
15. Lévite H, Sally H, Cour J. Testing water demand management scenarios in a water-stressed basin in South Africa: Application of the WEAP model. Phys Chem Earth Parts A B C. 2003;28(20-27):779-86. [Link]
16. Musota R. Using weap and scenrios to assess sustainability of water resources in a basin, case study for Lake Naivasha catchment-Kenya [Dissertation]. Enschede: International Institute for Geo-Information Science and Earth Observation; 2008. [Link]
17. Hollermann B, Giertz S, Diekkrüger B. Benin 2025 - Balancing future water availability and demand using the WEAP 'water evaluation and planning' system. Water Resour Manag. 2010;24(13):3591-613. [Link] [DOI:10.1007/s11269-010-9622-z]
18. Mutiga JK, Mavengano ST, Zhongbo S, Woldai T, Becht R. Water allocation as a planning tool to minimise water use conflicts in the upper ewaso ng'iro north basin, Kenya. Water Resour Manag. 2010;24(14):3939-59. [Link] [DOI:10.1007/s11269-010-9641-9]
19. Mounir ZM, Ma CM, Amadou I. Application of water evaluation and planning (WEAP): A model to assess future water demands in the Niger River (in Niger Republic). Mod Appl Sci. 2011;5(1):38-49. [Link] [DOI:10.5539/mas.v5n1p38]
20. Hadded R, Nouiri I, Alshihabi O, Maßmann J, Huber M, Laghouane A, et al. A decision support system to manage the groundwater of the zeuss koutine aquifer using the WEAP-MODFLOW framework. Water Resour Manag. 2013;27(7):1981-2000. [Link] [DOI:10.1007/s11269-013-0266-7]
21. Vonk E, Xu YP, Booij MJ, Zhang X, Augustijn DCM. Adapting multireservoir operation to shifting patterns of water supply and demand: A case study for the xinanjiang-fuchunjiang reservoir cascade. Water Resour Manag. 2014;28(3):625-43. [Link] [DOI:10.1007/s11269-013-0499-5]
22. Dimova G, Tzanov E, Ninov P, Ribarova I, Kossida M. Complementary use of the WEAP model to underpin the development of SEEAW physical water use and supply tables. Procedia Eng. 2014;70:563-72. [Link] [DOI:10.1016/j.proeng.2014.02.062]
23. Li X, Zhao Y, Shi Ch, Sha J, Wang ZL, Wang Y. Application of Water Evaluation And Planning (WEAP) model for water resources management strategy estimation in coastal Binhai New Area, China. Ocean Coast Manag. 2015;106:97-109. [Link] [DOI:10.1016/j.ocecoaman.2015.01.016]
24. Yaqob E, Al-Sa`ed R, Sorial G, Sudian M. Simulation of trans boundary wastewater resource management scenarios in the Wadi Zomer watershed, using a WEAP model. Int J Basic Appl Sci. 2015;4(1):27-35. [Link] [DOI:10.14419/ijbas.v4i1.3802]
25. Huang S, Krysanova V, Zhai J, Su B. Impact of intensive irrigation activities on river discharge under agricultural scenarios in the semi-arid Aksu River basin, Northwest China. Water Resour Manag. 2015;29(3):945-59. [Link] [DOI:10.1007/s11269-014-0853-2]
26. Esteve P, Varela-Ortega C, Blanco-Gutiérrez I, Downing TE. A hydro-economic model for the assessment of climate change impacts and adaptation in irrigated agriculture. Ecol Econ. 2015;120:49-58. [Link] [DOI:10.1016/j.ecolecon.2015.09.017]
27. Mourad KA, Alshihabi O. Assessment of future Syrian water resources supply and demand by the WEAP model. Hydrol Sci J. 2016;61(2):393-401. [Link] [DOI:10.1080/02626667.2014.999779]
28. Mishra BK, Herath S, Sampath DS, Fukushi K, Weerakoon SB. Decision support system for sustainable water resources management. NEAJ Newsl. 2015;1(1):5-10. [Link]
29. Rafiee Anzab N, Jamshid Mousavi S, Rousta BA, Kim JH. Simulation optimization for optimal sizing of water transfer systems. In: Kim JH, Geem ZW, editors. Harmony search algorithm: Proceedings of the 2nd international conference on harmony search algorithm. New York City: Springer; 2015. pp. 365-75. [Link]
30. Yates D, Sieber J, Purkey D, Huber-Lee A. WEAP21 - A demand-, priority-, and preference- driven water planning model. Water Int. 2005;30(4):487-500. [Link] [DOI:10.1080/02508060508691893]
31. Vafaei F, Babaei A. Designing fuzzy mathematical multi criteria decision making model for optimal portfolio selection in Tehran stock exchange. J Ind Manag. 2011;5(14):89-102. [Persian] [Link]
32. Ataee M. Fuzzy multi criteria decision making. 1st Edition. Shahrood: Shahrood University of Technology; 2010. [Persian] [Link]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |