Optimization of Crop Pattern Based on Water Footprint Index in Different Climates of Iran

Document Type : Research Paper

Authors

1 Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

2 Water Engineering Department, Faculty of Agriculture, Urmia University, Urmia, Iran

3 Cotton Research Institute of Iran, Agricultural research Education and Extension Organization (AREEO), Gorgan, Iran.

Abstract

One of the basic elements of water resources management and increasing agricultural productivity is the optimal use of (water) resources. The water footprint index is one of the new approaches used for this purpose. In this study, the water footprint approach was used to optimize the cultivation pattern of crops in different climates of Iran. For this purpose, 11 crops were selected in six different climates of Iran and after calculating the water footprint of the cultivated crops, the RIS indicators and the actual blue water footprint (WFAblue) were evaluated. After evaluating and calculating the indicators, the TOPSIS optimization method was used to provide the optimal cultivation pattern. Results showed that among the proposed products, wheat, barley, alfalfa, cotton, and tobacco had the highest amount of green water footprint, of which the highest one was corresponded to the PH-C-W climate. However, the highest blue and gray water footprint are mainly related to rice, beans, cotton and tobacco, which is due to the high water consumption of these products (high water demand). Evaluation of the optimization model also showed that the most optimal crops for cultivation in the region were respectively corn with 39%, barley with 23%, potato with 20%, tomato with 7% and wheat with 1% priorities. The most undesirable crops for cultivation in the provinces of the country were respectively, tobacco, cotton, beans, rice, sugar beet and alfalfa.

Keywords


Adnan, S. and Khan, A.H. (2009), Effective rainfall for irrigated agriculture plains of Pakistan. Pakistan Journal Meteorology. 6(11): 61-72.
Aligholinia, T. Rezaie, H. Bahmanesh, J. and Montaseri M. (2015), Sustainable management of water resources in order to maximize water extraction with a water footprint approach. Master's thesis, Faculty of Agriculture, Urmia University (In Farsi).
Aligholinia, T. Sheibany, H. Mohamadi, O. and Hesam, M. (2019), Comparison and evaluation of blue, green and gray water footprint of wheat in different climates of Iran. Iran Water Resources Research. 15(3): 234-245 (In Farsi).
Allen, R.G. Pereira, L.S. Raes, D. and Smith, M. (1998), Crop Evapotranspiration (Guidelines for Computing Crop Water Requirements). FAO Irrigation and Drainage, Paper, No. 56. FAO. Rome.
Chapagain, A.K.B. and Hoekstra, A.Y. (2012), The blue, green and grey water footprint of rice from production and consumption perspectives. Ecological Economics 70: 749–758.
Chico, D. Aldaya, M. and Garrido, A. (2013), A water footprint assessment of a pair of jeans: the influence of agricultural policies on the sustainability of consumer products. Cleaner Production 57: 238–248.
Deng, H. Yeh, C.H. and Willis, R.J. (2000), Inter-company Comparison Using Modified TOPSIS with Objective Weights, Comput. Oper. Res. 27: 963-973.
Doorenbos, J. and Kassam, A. H. (1979), Yield response to water, FAO Drainage and Irrigation, Paper 33, FAO, Rome.
Ene, A. S. Teodosiu, C. Robu, B. and Volf, I. (2013), Water footprint assessment in the winemaking industry: a case study of office paper. Cleaner Production 24: 30–35.
Geng, Q. Wu, P. Zhao, X. and Wang, Y. (2014), A framework of indicator system for zoning of agricultural water and land resources utilization: a case study of Bayan Nur, Inner Mongolia. Ecol. Indic. 40: 43-50.
Gerbens-Leenes, W. and Hoekstra, A.Y. (2012), The water footprint of sweeteners and bio-ethanol. Environment International. 40: 202-211.
Gorgin paveh, F. Ramzani etedal, H. and Ababaie, B. (2016), Estimating the gray water footprint in important cereal producing countries in provincial and national scale. The Second National Congress of Irrigation and Drainage of Iran, Isfahan University of Technology (In Farsi).
Herath, I. Green, S. Horne, D. Singh, R. and Clothier, B. (2014), Quantifying and reducing the water footprint of rain-fed potato production, part I: measuring the net use of blue and green water. Cleaner Production 81: 111-119.
Hoekstra, A.Y. and Chapagain, A.K. (2007), Water footprints of nations: water use by people as a function of their consumption pattern. Water Resources Management 21: 35–48.
Hoekstra, A.Y. and Hung, P.Q. (2005), Globalization of water resources: International virtual water flows in relation to crop trade. Global Environmental Change 15:45-56.
Hwang, C.L. and Yoon, K. (1981), Multiple Attribute Decision Making: Methods and Applications, Springer-Verlag, New York.
Jefferies, D. Munoz, I. Hoedges, J. King, V.J. Aldaya, M.M. Ercin, A.E. Mila, I. Canals, L.L. and Hoekstra, A.Y. (2012), Water footprint and life cycle assessment as approaches to assess potential impacts of products on water consumption. Key learning points from pilot studies on tea and margarine. Cleaner Production 12: 155–166.
Lovarelli, D. Bacenetti, J. and Fiala, M. (2017), Water Footprint of crop productions: A review. Science of the Total Environment. 548: 236-251.
Malano, H. and Burton, M. (2001), Guidelines for Benchmarking Performance in the Irrigation and Drainage Sector. International Programmer for Technology and Research in Irrigation and Drainage (IPTRID), Italy.
Mashaal, M. Varavipour, M. Sadat, N. and Zare Zirak, A. (2008), Optimization of corn water consumption depth with low irrigation (Case study: Varamin Plain). Agricultural Research Journal (Water, Soil and Plant in Agriculture) 8(6): 123-134. (In Farsi).
Mohammadi, A. Yousefi, H. Noorollahi, Y. and Sadatinejad, S.J. (2017), Choosing the Best Province in Potato Production using Water Footprint Assessment. Ecohydrology. 4: 523-532. (In Farsi)
Mohammad Khani, M.R. Zakeri, Z. and Maghsoudi, A. (2015), Water Footprint calculation for some selected products: Grey, Green and Blue Water Footprint in production and consumption, Islamic Parliament Research Center of the Islamic Republic of Iran, 237p. (In Farsi)
Morillo, J.G. Díaz, J.A.R. Camacho, E. and Montesinos, P. (2015), Linking water footprint accounting with irrigation management in high value crops. Cleaner Production 87: 594–602.
Nana, E. Corbari, C. and Bocchiola, D. (2014), A model for crop yield and water footprint assessment: Study of maize in the Po valley. Agricultural Systems 127: 139–149.
Olson, D.L. (2004), Comparison of Weights in TOPSIS Models, Math. Comput. Model. 40: 721-727.
Rasouli Majd, N. Montaseri, M. Bahmanesh, J. and Rezaei, H. (2015), Identification and evaluation of the water footprint index, broken down by water, green water and gray water, by applying climate change. Master's Thesis, Faculty of Agriculture, Urmia University (In Farsi).
Rodríguez Díaz, J.A. P_erez, L. Camacho, E. and Montesinos, P. (2012), Modernizing water distribution networks. Lessons from the Bemb_ezar MD irrigation district, Spain. Outlook Agric. 41 (4): 229-236.
Rodriguez, C.I. de Galarreta, V.R. and Kruse, E.E. (2015), Analysis of water footprint of potato production in the pampean region of Argentina. Journal of Cleaner Production.
Sepaskhah, A. Tavakoli, A. and Mousavi, S. (2006), Principles and Applications of Low Irrigation. Publication of Iran's National Irrigation and Drainage Committee. (In Farsi).
Tajrishi, M. and Abrishamchi, A. (2004), Water Resource Demand Management in the Country. First Conference on Wastewater Prevention Methods. Tehran, Academy of Sciences of the Islamic Republic of Iran. (In Farsi).
Tavana, M. and Marbini, A.H. (2011), A Group AHP-TOPSIS Framework for Human Spaceflight Mission Planning at NASA Exp. Syst. Appl. 38: 13588–13603.
Vafaienejad, A. (2016), Optimization of Crop Pattern Using TOPSIS Method and Genetic Algorithm Based on GIS Capabilities Case Study: Field Plants, Isfahan Province. Ecohydrology. doi: 10.22059/ije.2016.59191. (In Farsi).
UNESCO (1979) Map of the world distribution of arid regions. Map at scale 1:25,000,000 with explanatory note. United Nations Educational, Scientific and Cultural Organization, Paris, 54 pp. ISBN 92-3-101484-6
Yevjevich, V. (1995), Effect of area time horizons in comprehensive and integrated water resources management, Water Science and Technology, Vol. 31(8):19-25.
Zare Abyaneh, H. Bayat varkeshi, M. Sabzi Parvar, A.K. Maroufi, S. and Ghasemi, A. (2010), Estimation of estimation methods of evapotranspiration of the reference plant and its zoning in Iran. Natural Geographic Research 74:110-95 (In Farsi).
Et, L. and Hoekstra, A.Y. (2017), The effect of different agricultural management practices on irrigation efficiency, water use efficiency and green and blue water footprint. Frontiers of Agricultural Science and Engineering. 4: 185-194.