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(2016). Analysis of Farmers Economic Status in Drought Conditions, the East of Zayandeh-Rud River Basin. , 47(2), 335-342. doi: 10.22059/ijaedr.2016.59712
. "Analysis of Farmers Economic Status in Drought Conditions, the East of Zayandeh-Rud River Basin". , 47, 2, 2016, 335-342. doi: 10.22059/ijaedr.2016.59712
(2016). 'Analysis of Farmers Economic Status in Drought Conditions, the East of Zayandeh-Rud River Basin', , 47(2), pp. 335-342. doi: 10.22059/ijaedr.2016.59712
Analysis of Farmers Economic Status in Drought Conditions, the East of Zayandeh-Rud River Basin. , 2016; 47(2): 335-342. doi: 10.22059/ijaedr.2016.59712

Analysis of Farmers Economic Status in Drought Conditions, the East of Zayandeh-Rud River Basin

تحقیقات اقتصاد و توسعه کشاورزی ایران
Article 7, Volume 47, Issue 2, December 2016, Pages 335-342    PDF (564.42 K)
Document Type: Research Paper
DOI: 10.22059/ijaedr.2016.59712
Abstract
The agriculture sector is the largest water consumer in arid and semi-arid areas. So water scarcity has an important effect on this section. Drought as one of the most important factors in making crisis in Zayanderud river basin (ZRB) has a deep effect on the agriculture sector. This study evaluates the drought effects on irrigation land and farmers profit on the east of ZRB by using SPI and CBA. The required data is collected by questionnaire and face-to-face interview with 140 farmers in the east of ZRB in 2013. At first we determined climatic scenarios by using Esfahan and Chadegan stations and SPI index during 1970-2012. After that the effects of wet, normal and dry scenarios are shown on stream flow and irrigation land. The results show that wheat, rice and safflower that depend highly on river, decrease on land area sequentially in scale of 68%, 92% and 51%. In addition the decrease of profit of these products are sequentially equal to 13858, 520 and 6103 million Tomans, that should use increasing the productivity and irrigation efficiency utilizing ways such as farm tubing- that has lower cost and risk in relation to rain irrigation for farmers.
Keywords
Drought; zayandeh-rud river; SPI
References
  1. Araghinejad, S. (2011) An Approach for Probabilistic Hydrological Drought Forecasting. Water Resources Management 25(1), 191-200.
  2. Berrittella, M., Hoekstra, A.Y., Rehdanz, K., Roson, R. & Tol, R.S. (2007) The economic impact of restricted water supply: A computable general equilibrium analysis. Water Research 41(8), 1799-1813.
  3. Boardman, A.E., Greenberg, D.H., Vining, A.R. & Weimer, D. (2010) Cost-benefit analysis, Prentice Hall Upper Saddle River, NJ.
  4. Calatrava, J. & Garrido, A. (2005) Modelling water markets under uncertain water supply. European Review of Agricultural Economics 32(2), 119-142.
  5. Dracup, J.A., Lee, K.S. & Paulson Jr, E.G. (1980) On the definition of droughts. Water Resources Research 16(2), 297-302.
  6. Gómez, C.M., Tirado, D. & Rey‐Maquieira, J. (2004) Water exchanges versus water works: Insights from a computable general equilibrium model for the Balearic Islands. Water Resources Research 40(10).
  7. Goodman, D.J. (2000) More reservoirs or transfers? A computable general equilibrium analysis of projected water shortages in the Arkansas River Basin. Journal of Agricultural and Resource Economics, 698-713.
  8. Iglesias, E., Garrido, A. and Gómez‐Ramos, A. (2003) Evaluation of drought management in irrigated areas. Agricultural Economics 29(2), 211-229.
  9. Karamouz, M. & Nazif, S. (2012) Hydrology and Hydroclimatology: Principles and Applications, CRC Press.
  10. Lorite, I., Mateos, L., Orgaz, F. & Fereres, E. (2007) Assessing deficit irrigation strategies at the level of an irrigation district. Agricultural Water Management 91(1), 51-60.
  11. Maneta, M., Torres, M.d.O., Wallender, W., Vosti, S., Howitt, R., Rodrigues, L., Bassoi, L. and Panday, S. (2009) A spatially distributed hydroeconomic model to assess the effects of drought on land use, farm profits, and agricultural employment. Water Resources Research 45(11), W11412.
  12. McKee, T.B., Doesken, N.J. & Kleist, J. (1993) The relationship of drought frequency and duration to time scales, pp. 179-183, American Meteorological Society Boston, MA.
  13. Moghaddasi, M., Morid, S., Araghinejad, S. & Alikhani, M.A. (2010) Assessment of irrigation water allocation based on optimization and equitable water reduction approaches to reduce agricultural drought losses: the 1999 drought in the Zayandeh Rud irrigation system (Iran). Irrigation and Drainage 59(4), 377-387.
  14. Moradi, H.R., Rajabi, M. & Faragzadeh, M. (2011) Investigation of meteorological drought characteristics in Fars province, Iran. CATENA 84(1–2), 35-46.
  15. Moreira, E.E., Coelho, C.A., Paulo, A.A., Pereira, L.S. & Mexia, J.T. (2008) SPI-based drought category prediction using loglinear models. Journal of Hydrology 354(1–4), 116-130.
  16. Myronidis, D., Stathis, D., Ioannou, K. & Fotakis, D. (2012) An Integration of Statistics Temporal Methods to Track the Effect of Drought in a Shallow Mediterranean Lake. Water Resources Management 26(15), 4587-4605.
  17. Nikouei, A., Zibaei, M. and Ward, F.A. (2012) Incentives to adopt irrigation water saving measures for wetlands preservation: An integrated basin scale analysis. Journal of Hydrology. 
  18. Palmer, W.C. (1965) Meteorological drought, US Department of Commerce, Weather Bureau Washington, DC, USA.
  19. Palmer , W.C. (1968) Keeping track of crop moisture conditions, nationwide: The new crop moisture index.
  20. Paulo, A.A., Ferreira, E., Coelho, C. & Pereira, L.S. (2005) Drought class transition analysis through Markov and Loglinear models, an approach to early warning. Agricultural Water Management 77(1–3), 59-81.
  21. Prest, A.R. & Turvey, R. (1965) Cost-benefit analysis: a survey. The Economic Journal 75(300), 683-735.
  22. Quiroga, S. & Iglesias, A. (2009) A comparison of the climate risks of cereal, citrus, grapevine and olive production in Spain. Agricultural Systems 101(1), 91-100.
  23. Salami, H., Shahnooshi, N. & Thomson, K.J. (2009) The economic impacts of drought on the economy of Iran: An integration of linear programming and macroeconometric modelling approaches. Ecological Economics 68(4), 1032-1039.
  24. Shafer, B. & Dezman, L. (1982) Development of a Surface Water Supply Index (SWSI) to assess the severity of drought conditions in snowpack runoff areas, pp. 164-175.
  25. Sharma, B.R. and Minhas, P.S. (2005) Strategies for managing saline/alkali waters for sustainable agricultural production in South Asia. Agricultural Water Management 78(1–2), 136-151.
  26. Smith, M. (2000) The application of climatic data for planning and management of sustainable rainfed and irrigated crop production. Agricultural and Forest Meteorology 103(1), 99-108.
  27. Stagge, J., Tallaksen, L., Gudmundsson, L., Van Loon, A. & Stahl, K. (2013) Pan-European comparison of candidate distributions for climatological drought indices, SPI and SPEI, p. 9329.
  28. Vicente-Serrano, S.M. & López-Moreno, J.I. (2005) Hydrological response to different time scales of climatological drought: An evaluation of the Standardized Precipitation Index in a mountainous Mediterranean basin. Hydrology and Earth System Sciences 9(5), 523-533.
  29. Vicente-Serrano, S.M., González-Hidalgo, J.C., de Luis, M. & Raventós, J. (2004) Drought patterns in the Mediterranean area: The Valencia region (eastern Spain). Climate Research 26(1), 5-15.

Wilhite, D.A. & Glantz, M.H. (1985) Understanding: the drought phenomenon: the role of definitions. Water International 10(3), 111-120.

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