Analysis of Water Swings and Optimizing Water Consumption in the Agricultural Sector of Sistan Region: Application of fuzzy approach

Subject Areas : Agricultural Economics Research

F. Afroozeh ¹ (کارشناس ارشد اقتصاد کشاورزی دانشگاه آزاد اسلامی واحد مرودشت)
S.N. Mousavi ² (دانشیار اقتصاد کشاورزی دانشگاه آزاد اسلامی واحد مرودشت)
J. Torkamani ³ (استاد اقتصاد کشاوری دانشگاه آزاد اسلامی واحد مرودشت)

Received: 2015-12-18 Accepted : 2015-12-18 Published : 2011-09-23

Keywords: Optimization of water resources, Planting patterns, Fuzzy Programming, Sistan,

Abstract :

This study aims to apply fuzzy programming to optimize the use of water resources in agricultural regions of Sistan, Data collected by filling up questionnaire from a sample of 118 farmers that were selected using random sampling method. Technical coefficients were calculated based on information provided by Agriculture Department of the region. Current cropping pattern was compared with optimized one with respect to regional constraints. Results showed the possibility of reduction in acreage and water use while attaining high yield and sustainability of water resource use. The results also showed the farmers' objectives were minimizing the use of water, machinery and fertilizer and maximizing production and labor. Considering these objectives, optimum cropping pattern was determined and recommended.  

References:

1. Asadpoor, H. and Khalilian S. and Peikani Gh.2005.Theory andapplication of linear- idealistic- fuzzy planning model inoptimizing cultivation pattern, serial of agricultural economicsnd development, special edition of productivity and efficiency,307- 338.

2. Asadpoor H. and HasaniMoghadam M. and Ahmadi Gh.2007.Designing a multipurpose decision making model in order todefine optimal cultivation pattern in Dasht-e-Naz in Sari. Acollection of articles on sixth conference of agriculturaleconomics, Iran, Mashhad.

3. Biswas, A. and Dharmars, Rao JR. 1978. Fuzzy goalprogramming, an additive model, fuzzy sets and systems; 24:27-34.

4. Biswas, A. and Pal, B.B. 2005.Application of fuzzy goalProgramming technique toland use planning in agriculture

system. The international of management Science, omega 33:391-398.

5. Chalam, G.A. 1994. Fuzzy Programming (FGP). Approach tostochastics transportation problem under budgetary constraintFuzzy sets systems. 66(3):293-299.

6. Derijani A and Koopahi M. 2000. Application of decisiveidealistic and fuzzy planning technic in optimizing agriculture

productions.A collection of articles on third conference ofagricultural economics, Iran, Mashhad, 629- 725.

7. Dhingra, A.K., S.S. Rao. H. Miura.1990. Multiobjctive decisionMaking in a Fuzzy environment with applications to helicopterdesign, AIAA Journal, 28(4):703-710

8. Ebrahimi, P.2005.Studying and evaluating management andsupplying demand of urban water in drouth conditions (Isfahan),serial of water and environment, No. 48, 49.

9. Ghahraman B. 1999. Management of water sources in Mashhad,consultant engineers of Sarvab, waterworks office inKhorasanRazavi, power ministry.

10. Heydari N. and Ghods A. and Kanouni A. 2004. Efficiency ofwater consumption in agriculture products at different regions ofthe country (Kerman, Hamedan, Moghan, Golestan and Khuzestan), The first meeting of managing drainage and wateringnetworks.

11. Iskandar, M. G. 2007.Using the weighted max-min approach forstochastic fuzzy goal programming :a case of fuzzy weights.Applied mathematics and computation. Vol. 188, pp:456-461

12. Keramatzadeh A. and Chizari A. H. and Moosavi H. 2005. Waterresources management through optimally dedicating waterbetween lands under barriers: the case study of Barzo barrier inShiravan.Acollection of articleson fifth conference of agriculturaleconomics, SystanBalouchestanuniversity.

13. Kordavani P. 2002. Water resources and issues in Iran.The firstvolume, sixth edition, Tehran university publishing.

14. Kahkha A. and SoltaniGh. 1996. Defining the unriskabilityof farmers in Fars province, summary of articles on

first conference of agricultural economics, Iran, Zabol.

15. Kohansal M. and Mohammadian F. 2005. Application of fuzzyidealistic planning in defining optimal cultivation pattern ofagriculture products.Serial of agricultural economics and

development.

16. Mohammadi J. Givi J. 2001. Evaluating lands coordination forwheat in Felavarjan region using theory of fuzzy

collections.Serial of agriculture sciences and technologies andnatural resources, 103- 115.

17. Mohammadi H. and Torkamani J. 2001. Application of targetplanning model conjugated with risk (GP- tMoTAD) in

considering modern technology acceptance by farmers whocultivate sweet corn in Fars province. Serial agricultureeconomics and development, 205- 233.

18. Mansouri H. Kohansal M. 2001. Defining optimal cultivationpattern based on two economic and environmental views, Acollection of articles on sixth conference of agriculturaleconomics, Iran, Mashhad.

19. Narasimhan, R. 1980.Goal programming ina Fuzzyenvironmental Decision Sciences, 11:325-336

20. Pal, B.B.I. Basu .1996. Selection of app ropriate prioritystructurefor optimal land allocation in agricultural planning

throught goal programming Indian. Journal of AgriculturalEconomics 51(3): 342-354

21. Pal, B.B., Moitra B.N .2003. Fuzzy goal programming approachto long term an allocation planning problem in agriculture system:Case In: Proceeding of fifth international conference onadvances in pattern vecognition. Allied publishers pvt. Ltd, P:441-447

22. Seckler D, Amarasing heu, moden D, silva R and Baker R. 1998.world water Demand and supply, 1990 t. 2025: scenarios andIssues International water management Institute.

23. Slowinski, R.1986. A multicriteria Fuzzy linear programmingMethod for water Supply system Development plan. Fuzzy setsand systems, 19: 217-37

24. Suresh, K.R. and Mujumdar, P.P .2004. A Fuzzy risk approachfor performance evaluation of an irrigation reservoir system.Agricultural water management 69: 159-177.

25. Terra, L.D.B.; Gouvea, M.M., Jr.(1999) Fuzzy goal programmingapplied to the optimal reactive power flowproblem

26. Tiwari, R.N., S. Dhormar, J.R. Rao .1996. Fuzzy goalprogramming, an additive Model. Fuzzy sts and systems, 24:27-34

27. Yang, J.P. H, Ignizio, H.J. Kilm.1991, Fuzzy programming withnonlinear membership function: Piecewise liner programmingapproximation, Fuzzy sets and systems, 11; 39-53

28. Yu, Pl.a. 1973. Class of solution for group decision problems.Management science. 19(8): 936-946.

29. Zade, L.A.1965. Fuzzy Programming and liner Programmingwith27

30. Zimmermann , H.J. 1978. Fuzzy programming and linearprogramming with several objective function, Fuzzy sets andsystem, 1:45-55.