Agricultural Economics

Agricultural Economics

ارزیابی تأثیر سیاست‌های حفاظت آب بر تخصیص بهینه منابع با لحاظ هدف‌های اقتصادی، زیست‌محیطی، اجتماعی و تغذیه‌ای

نوع مقاله : مقاله پژوهشی

نویسندگان
1 استادیار گروه اقتصاد کشاورزی-دانشگاه علوم کشاورزی و منابع طبیعی خوزستان
2 دانشیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی خوزستان ملاثنی، ایران.
3 استادیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی خوزستان
4 دکتری اقتصاد کشاورزی، دانشکده کشاورزی، دانشگاه شیراز، ایران.
چکیده
حفاظت از منابع آب برای تضمین تأمین پایدار آب برای نسل‌های آینده و حفظ بوم‌سامانه‌های طبیعی ضروری است. همچنین، مدیریت بهینه منابع آب می‌تواند به کاهش بحران‌های آب کمک کند. در این پژوهش، به منظور تخصیص بهینه منابع در منطقه دشت حمیدیه از الگوریتم NSGA-II استفاده شد. در این راستا، در آغاز با بهینه‌سازی الگوهای زراعی، وضعیت بهینه مجموعه‌ای از هدف‌های اقتصادی، زیست‌محیطی، اجتماعی و تغذیه‌ای تعیین شده و پس از آن اثرگذاری‌های سیاست‌های حفاظت آب ارزیابی شد. داده‌های مورد نیاز از طریق تکمیل 170 پرسشنامه از کشاورزان منطقه در سال 1401 گرد‌آوری شد. نتایج ارزیابی سیاست‌های حفاظت از آب نشان داد که افزایش کارایی آبیاری ضمن بهبود بازده برنامه‌ای و کاهش مصرف آب، افزایش انرژی تولید شده به ازای هر واحد محصول را نیز به دنبال دارد و از این حیث، می‌تواند تناسب زیادی با تأمین همزمان انواع هدف‌های ذکر شده داشته باشد. این در حالی است که پیش‌فرض کم آبیاری به‌رغم کاهش میزان مصرف آب و کاهش نهاده‌های شیمیایی، منجر به کاهش میانگین بازده برنامه‌ای در سطح منطقه می‌شود. کاهش بازده برنامه‌ای، کاهش میانگین مصرف آب و تغییرپذیری‌های ناهمگون دیگر نهاده‌های مورد استفاده، از اثرگذاری‌های کاهش سطح زیرکشت برنج در منطقه‌های مورد بررسی خواهد بود. همچنین نتایج نشان داد که افزایش سطح زیر کشت محصول کنجد، به‌رغم بهبود بازده برنامه‌ای کشاورزان به افزایش مصرف آب و برخی از نهاده‌های آلوده‌کننده محیط‌زیست منجر خواهد شد. با توجه به نتایج به دست آمده از ارزیابی اتخاذ سیاست‌های حفاظت از آب، پیشنهاد و تأکید می‌شود که راهکارهای بهبود کارایی آبیاری در واحدهای کشاورزی در اولویت قرار گیرد.
کلیدواژه‌ها

موضوعات


Aljanabi, A. A., Mays, L. W., & Fox, P. (2018). Optimization Model for Agricultural Reclaimed Water Allocation Using Mixed-Integer Nonlinear Programming. Water, 10(10), 1291.
Asaadi, M. A., Mortazavi, S. A., Zamani, O., Najafi, G. H., Yusaf, T., & Hoseini, S. S. (2019). The Impacts of Water Pricing and Non-Pricing Policies on Sustainable Water Resources Management: A Case of Ghorveh Plain at Kurdistan Province, Iran. Energies, 12(14), 2667.
Attia, A., El-Hendawy, S., Al-Suhaibani, N., Alotaibi, M., Tahir, M. U., & Kamal, K. Y. (2021). Evaluating deficit irrigation scheduling strategies to improve yield and water productivity of maize in arid environment using simulation. Agricultural Water Management, 249, 106812.
Boazar, M., Abdeshahi, A., & Yazdanpanah, M. (2020). Changing rice cropping patterns among farmers as a preventive policy to protect water resources. Journal of Environmental Planning and Management, 63(14), 2484-2500.
Chen, F., Cui, N., Jiang, S., Wang, Z., Li, H., Lv, M., Wang, Y., Gong, D., & Zhao, L. (2023). Multi-objective deficit drip irrigation optimization of citrus yield, fruit quality and water use efficiency using NSGA-II in seasonal arid area of Southwest China. Agricultural Water Management, 287, 108440.
Choubin, B., Solaimani, K., Rezanezhad, F., Roshan, M. H., Malekian, A., & Shamshirband, S. (2019). Streamflow regionalization using a similarity approach in ungauged basins: Application of the geo-environmental signatures in the Karkheh River Basin, Iran. Catena, 182, 104128.
Chouchane, H., Krol, M. S., & Hoekstra, A. Y. (2020). Changing global cropping patterns to minimize national blue water scarcity. Hydrology and earth system sciences, 24(6), 3015-3031.
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. A. M. T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE transactions on evolutionary computation, 6(2), 182-197.
Fonseca, C. M., & Fleming, P. J. (1993). Genetic algorithms for multi objective optimization: formulation discussion and generalization. In Icga 93, 416-423.
Gharaghani, F., Boostani, F., & Soltani, G. (2009). Assessing the impact of reducing irrigation water and increasing its price on cropping pattern by positive mathematical programming model: A case study of Eghlid in Fars Province.
Ghobadi Y., Pradhan B., Shafri H.Z.M., and Kabiri K. 2015. Assessment of spatial relationship between land surface temperature and landuse/cover retrieval from multi-temporal remote sensing data in South Karkheh Subbasin, Iran. Arabian Journal of Geosciences 8(1): 525-537.
Hadiyan, P. P., Moeini, R., & Ehsanzadeh, E. (2020). Application of static and dynamic artificial neural networks for forecasting inflow discharges, case study: Sefidroud Dam reservoir. Sustainable Computing: Informatics and Systems, 27, 100401.
Heidarzadeh, M., Mirghasemi, A. A., Niroomand, H., & Eslamin, F. (2019). Construction and performance of the Karkheh dam complementary cut-off wall: an innovative engineering solution. International Journal of Civil Engineering, 17(6), 859-869.
Hojjati, A., Monadi, M., Faridhosseini, A., & Mohammadi, M. (2018). Application and comparison of NSGA-II and MOPSO in multi-objective optimization of water resources systems. Journal of Hydrology and Hydromechanics, 66(3), 323-329.
Holland, J. H. (1975). Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT press.
Huang, H., Xie, P., Duan, Y., Wu, P., & Zhuo, L. (2023). Cropping pattern optimization considering water shadow price and virtual water flows: A case study of Yellow River Basin in China. Agricultural Water Management, 284, 108339.
Huang, S., Wortmann, M., Duethmann, D., Menz, C., Shi, F., Zhao, C., Su, B., & Krysanova, V. (2018). Adaptation strategies of agriculture and water management to climate change in the Upper Tarim River basin, NW China. Agricultural Water Management, 203, 207-224.
Iran Water & Power Resources Development Company. (2015). Systematic Studies of Karkheh River Basin .Water Resources Planning Studies, Volume 5. Unpublished. (In Persian)
Jain, S., Ramesh, D., & Bhattacharya, D. (2021). A multi-objective algorithm for crop pattern optimization in agriculture. Applied Soft Computing, 112, 107772.
Kalbali, E., Ziaee, S., Mardani Najafabadi, M., & Zakerinia, M. (2021). Approaches to adapting to impacts of climate change in northern Iran: The application of a Hydrogy-Economics model. Journal of Cleaner Production, 280, 124067.
Liu, H., Liu, N., Zhang, D., Zhu, J., & Zhu, Y. (2023). Incorporating economy and water demand rate uncertainty into decision-making for agricultural water allocation during droughts. Water Supply, 23(10), 4252-4262.
Mardani Najafabadi, M., & Ashktorab, N. (2023). Mathematical programming approaches for modeling a sustainable cropping pattern under uncertainty: a case study in Southern Iran. Environment, Development and Sustainability, 25(9), 9731-9755.
Mardani Najafabadi, M., & Shirzadi Laskookalayeh, S. (2023). Solving Cropping Pattern Optimization Problems Using Robust Positive Mathematical Programming. In A. J. Kulkarni & A. H. Gandomi (Eds.), Handbook of Formal Optimization (pp. 1-26). Springer Nature Singapore.
Mardani Najafabadi, M., Magazzino, C., Valente, D., Mirzaei, A., & Petrosillo, I. (2023). A new interval meta-goal programming for sustainable planning of agricultural water-land use nexus. Ecological Modelling, 484, 110471.
Mardani Najafabadi, M., Mirzaei, A., Azarm, H., & Nikmehr, S. (2022). Managing Water Supply and Demand to Achieve Economic and Environmental Objectives: Application of Mathematical Programming and ANFIS Models. Water Resources Management, 36(9), 3007-3027.
Marzban, Z., Asgharipour, M. R., Ghanbari, A., Ramroudi, M., & Seyedabadi, E. (2021). Evaluation of environmental consequences affecting human health in the current and optimal cropping patterns in the eastern Lorestan Province, Iran. Environ Sci Pollut Res Int, 28(5), 6146-6161.
Mirzaei, A., & Zibaei, M. (2021). Water Conflict Management between Agriculture and Wetland under Climate Change: Application of Economic-Hydrological-Behavioral Modelling. Water Resources Management, 35(1), 1-21.
Mirzaei, A., Abdeshahi, A., Azarm, H., & Naghavi, S. (2022b). New design of water-energy-food-environment nexus for sustainable agricultural management. Stochastic Environmental Research and Risk Assessment, 36(7), 1861-1874.
Mirzaei, A., Azarm, H., & Naghavi, S. (2022a). Optimization of cropping pattern under seasonal fluctuations of surface water using multistage stochastic programming. Water Supply, 22(6), 5716-5728.
Mirzaei, K., & Ahmadpour Borazjani, M. (2016). Effects of irrigation water quotation on cropping pattern andfarmers' gross margin in Amol region. Iran-Water Resources Research, 12(3), 166-179.
Oulmane, A., Frija, A., & Brabez, F. (2019). Modelling farmers' responses to irrigation water policies in Algeria: an economic assessment of volumetric irrigation prices and quotas in the Jijel–Taher irrigated perimeter. Irrigation and drainage, 68(3), 507-519.
Prakash Khedun, C., Sanchez Flores, R., Rughoonundun, H., & Kaiser, R. A. (2014). World Water Supply and Use: Challenges for the Future. In N. K. Van Alfen (Ed.), Encyclopedia of Agriculture and Food Systems (pp. 450-465). Academic Press. 8
Rasikh, Z. U. R., Joolaie, R., Keramatzadeh, A., & Mirkarimi, S. (2024). Optimizing the Cropping Pattern in Nangarhar Province Based on the Perspective of Sustainable Agricultural Development: Fuzzy Goal Programming Approach. Process Integration and Optimization for Sustainability, 1-11.
Ren, D., Yang, H., Zhou, L., Yang, Y., Liu, W., Hao, X., & Pan, P. (2021). The Land-Water-Food-Environment nexus in the context of China's soybean import. Advances in Water Resources, 151, 103892.
Rezaei Zaman, M., Morid, S., & Delavar, M. (2016). Evaluating climate adaptation strategies on agricultural production in the Siminehrud catchment and inflow into Lake Urmia, Iran using SWAT within an OECD framework. Agricultural Systems, 147, 98-110.
Sapino, F., Pérez-Blanco, C. D., Gutiérrez-Martín, C., & Frontuto, V. (2020). An ensemble experiment of mathematical programming models to assess socio-economic effects of agricultural water pricing reform in the Piedmont Region, Italy. Journal of Environmental Management, 267, 110645.
Sato, Y., & Sato, M. (2022). Using Dominated Solutions at Edges to the Diversity and the Uniformity of Non-dominated Solution Distributions in NSGA-II. SN Computer Science, 3(6), 432.
Sedghamiz, A., Nikoo, M. R., Heidarpour, M., & Sadegh, M. (2018). Developing a non-cooperative optimization model for water and crop area allocation based on leader-follower game. Journal of hydrology, 567, 51-59.
Shaikh, I. A., Wayayok, A., & Lee, T. S. (2015). Preference index-based allocation of optimized cropping area at the Mirpurkhas subdivision: Jamrao irrigation scheme in Sindh, Pakistan. Journal of Irrigation and Drainage Engineering, 141(12), 04015021.
Srinivas, N., & Deb, K. (1994). Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary computation, 2(3), 221-248.
Sudaryanto, B., & Yortsos, Y. C. (2000). Optimization of fluid front dynamics in porous media using rate control. I. Equal mobility fluids. Physics of Fluids, 12(7), 1656-1670.
Tuninetti, M., Ridolfi, L., & Laio, F. (2022). Compliance with EAT–Lancet dietary guidelines would reduce global water footprint but increase it for 40% of the world population. Nature Food, 3(2), 143-151.
Varade, S., & Patel, J. N. (2019). Optimization of groundwater resource for balanced cropping pattern. Water Policy, 21(3), 643-657.
Verma, S., Pant, M., & Snasel, V. (2021). A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems. IEEE Access, 9, 57757-57791.
Wang, G., Kumar, S., Huang, Z., & Liu, R. (2024). Water resource management and policy evaluation in Middle Eastern countries: Achieving sustainable development goal 6. Desalination and Water Treatment, 320, 100829.
Wang, S., Fu, G., Ma, X., Xu, L., & Yang, F. (2021). Exploring the optimal crop planting structure to balance water saving, food security and incomes under the spatiotemporal heterogeneity of the agricultural climate. Journal of Environmental Management, 295, 113130.
Yazdani, S., Mahmoodi, A., Yavari, G., Nazari, M., & Mirzaei, M. (2016). Analysis of the Economic Effects of Nonprice Policy Reduced Water Supply in Qazvin Plain. Quarterly Journal of Economic Growth and Development Research, 6(23 (2)), 98-89.
Zamani, O., Azadi, H., Mortazavi, S. A., Balali, H., Moghaddam, S. M., & Jurik, L. (2021). The impact of water-pricing policies on water productivity: Evidence of agriculture sector in Iran. Agricultural Water Management, 245, 106548.
Zetland, D. (2014). Living with Water Scarcity. Aguanomics Press, Vancouver.
Zheng, W., Liu, Y., & Doerr, B. (2022). A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II). Proceedings of the AAAI Conference on Artificial Intelligence, 36(9), 10408-10416.