Estimation of Water Footprint in Current Cropping Patterns and its Reduction Capacity in Optimal Patterns under Multiple Goals Conditions (Case Study; Varamin Region)

Document Type : Research Paper

Authors

1 PhD Student in Department of Irrigation & Reclamation Engineering, University of Tehran, Karaj, Iran

2 Professor in Department of Irrigation & Reclamation Engineering, University of Tehran, Karaj, Iran

3 Associate Professor, Department of Irrigation & Reclamation Engineering, University of Tehran Karaj, Iran

Abstract

With the intensification of the water crisis in the world, it has become necessary to pay attention to the concept of virtual water and water footprint in agricultural planning and policy-making, especially in countries located in arid and semi-arid regions. The agricultural sector in Iran, as the largest water consumer, will require serious attention to the concepts of virtual water and water footprint. The aim of this study was to reduce the water footprint of optimal patterns under the simultaneous goals of profit and risk compared to current cropping patterns. Also, consequences for not implementing the optimal cropping model in terms of benefits and water footprints were investigated. For this purpose, data of production cost, cultivated area and crops production of Varamin region has been used for the crop year 2017-2018. Also, the research method in this study was to estimate water footprint indices and goal programming models. The results of this study showed that in the equilibrium patterns of profit and risk, the net profit of farmers will increase by 10.8% and at the same time, the water footprint will decrease by an average of 5.5%. In fact, the footprint of blue, green and gray water in the current model of cultivation is equivalent to 52.45, 2.79 and 17.56 million cubic meters, respectively, and in the optimal model of profit and risk balance, it is equivalent to 51.60, 2.24 and 96, respectively. It was estimated to be 14 million cubic meters. Finally, the total water footprint in the two models was estimated to be 72.81 and 68.81 million cubic meters, respectively. Considering only 2% water consumption for the total need of industry and mining and saving 5.5% in water footprint in the country, by implementing the optimal model of profit and risk balance in the agricultural sector, in addition to earn more profit by farmers, more water can be saved than the industry's need. This amount of savings can be done by the government at no cost, and in fact, more benefits and less risk will encourage farmers to follow this pattern.

Keywords

References

  1. Ababaei, B. and Ramezani Etedali, H. (2017). Water footprint assessment of main cereals in Iran. Agricultural Water Management. https://doi.org/10.1016/j.agwat.2016.07.016.
  2. Allan, J. A. (2003). Virtual water- the water, food, and trade nexus. Useful concept or misleading metaphor? Journal of Water International, 28, 106-113.
  3. 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 56, FAO, Rome, Italy.
  4. Bazrafshan, O., Ramezani Etedali, H., Gerkani Nezhad Moshizi, Z. and Mansoureh Shamili, M. (2019). Virtual water trade and water footprint accounting of Saffron Production in Iran. Agricultural Water Management. 213: 368-374. https://doi.org/10.1016/j.agwat.2018.10.034.
  5. Bazrafshan, O., Zamani, H., Ramezan Etedali, H. and Dehghanpir, S. (2019). Assessment of citrus water footprint components and impact of climatic and non-climatic factors on them. Scientia Horticulturae. 250: 344-351. https://doi.org/10.1016/j.scienta.2019.02.069.
  6. Bazrafshan, O., Zamani, H., Ramezan Etedali, H. and Dehghanpir, S. (2020). Improving water management in date palms using economic value of water footprint and virtual water trade concepts in Iran. Agricultural Water Management. doi.org/10.1016/j.agwat.2019.105941.
  7. Bocchiola, D., Nana, E. and Soncini, A. (2013). Impact of climate change scenarios on crop yield and water footprint of maize in the Po valley of Italy. Agricultural Water Management. 116, 50–61.
  8. Chapagain, A. K. and Hoekstra, A. Y. (2011). The blue, green and grey water footprint of rice from production and consumption perspectives. Econ., 70, 749–758.
  9. Chapagain, A. K. and Orr, S. (2009). An improved water footprint methodology linking global consumption to local water resources: a case of Spanish tomatoes. Environ. Manage. 90, 1219–1228.
  10. Chu, Y., Shen, Y. and Yuan, Z. (2017). Water footprint of crop production for different crop structures in the Hebei southern plain, North China. Earth Syst. Sci., 21, 3061–3069.
  11. Dabrowski, J. M., Murray, K., Ashton, P. J. and Leaner, J. J. (2009). Agricultural impacts on water quality and implications for virtual water trading decisions. Ecological Economics, 68, 1074–1082.
  12. Dong, H., Geng, Y., Sarkis, J., Fujita, T., Okadera, T. and Xue, B. (2013). Regional water footprint evaluation in China: A case of Liaoning. Sci. Total Environ., 442, 215–224.
  13. Duan, A. W. (2004). Irrigation water quota of main crops in North China. Agricultural Science and Technology Press of China, Beijing. FAO. 2012. World Agriculture towards 2030/2050. ESA E Working Paper No. 12-03. http://www.fao.org/economic/esa/esag/en/
  14. Gamage, A. (2017). Application of goal programming approach on finding an optimal land allocation for five other field crops in Anuradhapura district. Operations Research and Applications: an International Journal (ORAJ), 4(2), 1-13.
  15. Gheewala, S. H., Silalertruksa, T., Nilsalab, P., Mungkung, R., Perret, S. R. and Chaiyawannakarn, N. (2014). Water footprint and impact of water consumption for food, feed, fuel crops production in Thailand. Water, 6, 1698–1718.
  16. Gleick, P. H. (2003). Global freshwater resources: soft-path solutions for the 21st century. Science, 302, 1524–1528.
  17. Harati, M. (2020). Varamin plain user report presented in the reference for providing and sharing data of urban-regional studies. (In Farsi)
  18. He, L., Wang, S., Peng, C. and Tan, Q. (2018). Optimization of Water Consumption Distribution Based on Crop Suitability in the Middle Reaches of Heihe River, Sustainability, 10, 1-17.
  19. Hoekstra, A. Y. (Ed.) (2003). Virtual water trade, proceedings of the international expert meeting on virtual water trade. 12–13 December 2002, delft, the Netherlands, Value of Water Research Report Series 12.
  20. Hoekstra, A. Y. and Chapagain, A. K. (2007). Water footprints of nations: water use by people as a function of their consumption pattern. Water Resour. Manage. 21, 35–48.
  21. Hoekstra, A. Y., Chapagain, A. K., Aldaya, M. M. and Mekonnen, M. M. (2009). Water footprint manual: state of the art, water footprint network, Enschede, the Netherlands.
  22. Jefferies, D., Muñoz, I., Hodges, J., King, V. J., Aldaya, M., Ercin, A. E., Canals, L. M. 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, Clean. Prod., 33, 155–166.
  23. 2021. Report of Varamin city governorate. (In Farsi)
  24. Kayatz, B., Harris, F., Hillier, J., Adhya, T., Dalin, C., Nayak, D., Green, R. F., Smith, P. and Dangour, A. D. (2019). “More crop per drop”: Exploring India's cereal water use since 2005. Science of the Total Environment, 673, 207–217.
  25. Lamastra, L., Suciu, N. A., Novelli, E. and Trevisan, M. (2014). A new approach to assessing the water footprint of wine: an Italian case study. Sci. Total Environ., 490, 748–756.
  26. Mekonnen, M. M. and Hoekstra, A. Y. (2010). The green, blue and grey water footprint of crops and derived crop products. Value of water research report series 47, UNESCO-IHE, Delft, the Netherlands.
  27. Ministry of Jihad Agriculture. 2020. Agriculture Bank, Statistics and Information Office. (In Farsi)
  28. Mojtabavi, S.A., Shokoohi, A., Ramezani Etedali, H. and Singh V.P. (2018). Using regional virtual water trade and water footprint accounting for optimizing crop patterns to mitigate water crisis in dry regions. Irrigation and Drainage. 67: 295–305. https://doi.org/10.1002/ird.2170.
  29. Nakhaiee, M., Mohebbi Tafreshi, A. and Mohebbi Tafreshi, G. (2019). Modeling and predicting TDS concentration changes in varamin aquifer using GMS software. Journal of Advanced Applied Geology, 31, 25-37. (In Farsi)
  30. Nouri, H., Stokvis, B., Galindo, A., Blatchford, M. and Hoekstra, A. Y. (2019). Water scarcity alleviation through water footprint reduction in agriculture: The effect of soil mulching and drip irrigation. Science of the Total Environment, 653, 241–252.
  31. Ramezani Etedali, H., Ahmadaali, K., Gorgin, F. and Ababaei, B. (2019). Optimizing cropping pattern of main cereals and improving water use efficiency: Application of water footprint concept. Irrigation and Drainage. 68: 765–777 https://doi.org/10.1002/ird.2362.
  32. Rosegrant, M. W. and Ringler, C. (2000). Impact on food security and rural development of transferring water out of agriculture. Water Policy, 1, 567–586.
  33. Serrano, A., Guan, D., Duarte, R. and Paavola, J. (2016). Virtual water flows in the EU27: A Consumption‐based Approach. Journal of Industrial Ecology, 20(3), 547-558.
  34. Shrestha, S., Pandey, V. P., Chanamai, C. and Ghosh, D. K. (2013). Green, blue and grey water footprints of primary crops production in Nepal. Water Resour. Manage. 27, 5223–5243.
  35. Suttayakul, P., H-Kittikun, A., Suksaroj, C., Mungkalasiri, J., Wisansuwannakorn, R. and Musikavong, C. (2016). Water footprints of products of oil palm plantations and palm oil mills in Thailand. Sci Total Environ., 542, 521–529.
  36. UNEP (2007). Global environment outlook e Geo 4: Environment for development, United Nations Environment Programme, Valletta, Malta.
  37. Wang, Y. B., Wu, P. T., Engel, B. A. and Sun, S. K. (2014). Application of water footprint combined with unified virtual crop pattern to evaluate crop water productivity in grain production in China. Total Environ, 497–498, 1–9.
  38. Water Resources Management Company. 2018. Report on the exploitation status of the country's plains. (In Farsi)
  39. Wu, P., Zhuo, La., Zhang, G., Mekonnen, M. M., Hokestra, A. Y., Wada, Y., Gao, X., Zhao, X., Wang, Y. and Sun, S. (2018). Trade-offs between crop-related (physical and virtual) water flows and the associated economic benefits and values: a case study of the Yellow River Basin. Earth Syst. Sci. Discuss.
  40. Yang, H. and Zehnder, A. (2007). Virtual water: An unfolding concept in integrated water resources management. Water Resources Research, 43, 1-10.
  41. Zhang, G. and Zhang, S. (1998). Advances in agricultural nitrogen leaching in soil. Soil, 6, 291–297.
  42. Zhuo, L., Mekonnen, M. M. and Hoekstra, A. Y. (2016). The effect of inter-annual variability of consumption, production, trade and climate on crop-related green and blue water footprints and interregional virtual water trade: A study for China (1978–2008). Water Res., 94, 73–85.
  43. Zule, M. and Jamshidi, A. R. (2011). The importance of the cultivation pattern for the sustainable development of agriculture and providing suitable solutions for its correction, First national conference on strategies to achieve sustainable agriculture, Ahwaz, Iran.
Iranian Journal of Agricultural Economics and Development Research
Volume 53, Issue 4
November 2022
Pages 987-999

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