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نوع مقاله : مقالات پژوهشی

نویسندگان

1 دانشگاه ارومیه

2 گروه علوم ومهندسی آب، دانشگاه ارومیه

چکیده

تغییرات کاربری اراضی و توسعه کشاورزی از عوامل بسیار مهمی هستند که بر کمّیت، کیفیت منابع آب و محیط‌زیست تأثیر گذاشته است. در سال‌های اخیر در حوضه آبریز دریاچه ارومیه این تغییرات سبب افت شدید سطح آب شده ‌است. در همین راستا یکی از مصوبات هیئت وزیران پس از تشکیل کارگروه ملی نجات دریاچه ارومیه، ممنوعیت توسعه اراضی کشاورزی از سال 1393 در این حوضه آبریز بود. باتوجه به وجود تعارض بین ذی‌نفعان مسئله توسعه اراضی کشاورزی، می‌توان از ابزارهای مدل‌سازی مناقشات جهت تحلیل و ارائه راهکار استفاده نمود. از مشهورترین ابزارهای پژوهشی کاربردی و مفید در مدل‌سازی و تحلیل مناقشات منابع آبی و زیست محیطی، نظریه‌بازی‌ها می‌باشد. در تحقیق حاضر با استفاده از نرم‌افزار GMCR+ به تحلیل مناقشه‌ منابع آبی مشترک ناشی ‌از توسعه اراضی ‌کشاورزی پرداخته شد. در تحلیل این مناقشه با شناسایی دقیق مجموعه ذی‌نفعان و استراتژی‌های آن‌ها در روند مناقشه (شرکت آب منطقه‌ای، سازمان جهاد کشاورزی، دادگستری و کشاورزان)، مدل با 4 بازیکن، 6 گزینه و 64 وضعیت شبیه‌سازی شد. عملکرد بازیکن‌ها در گام اول به‌صورت رفتار ایده‌آل و در گام دوم با استفاده از تحلیل خروجی‌های بدست آمده از پرسش‌نامه‌ بررسی گردید. در ادامه 4 وضعیت در حالت ایده‌آل به‌عنوان وضعیت‌های تعادل و 7 وضعیت در حالت استفاده از نتایج پرسشنامه، به‌عنوان وضعیت‌های تعادل استخراج گردید. همچنین مناقشه در حالت ائتلاف 3 ارگان دولتی (شرکت آب منطقه‌ای، سازمان جهاد کشاورزی، دادگستری) نیز مورد بررسی قرار گرفت. در نهایت محتمل‌ترین وضعیت تعادل در نتایج بازی شناسایی گردید. نتایج نشان داد اهمیت مشارکت جدی شرکت سهامی آب منطقه‌ای و سازمان جهاد کشاورزی با استفاده از ظرفیت‌های قانونی خود در جهت ممانعت از توسعه بی‌رویه اراضی کشاورزی می‌تواند بسیار راه‌گشا باشد. همچنین دخالت مرجع قانونی دادگستری به‌عنوان یک عامل پیش‌گیری از وقوع جرم و در ادامه نقش آفرینی آن دستگاه‌ به‌عنوان صادرکننده حکم قضایی در این مناقشه موثر است. لازم به ذکر است انطباق نتایج مدل‌سازی بارفتار ایده‌آل با نتایج مدل‌سازی از خروجی پرسشنامه نخبگانی نشان از نزدیک بودن نقطه تعادل به واقعیت بوده و احتمال عملی شدن آن بالاست. این تحقیق نشان داد در صورت ائتلاف بین بازیکنان دولتی، می‌توان به راه حل واحدی برای حل مناقشه رسید.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Common Water Resources Conflict Analysis due to Agriculture Land Development Using Game Theory and GMCR+ (Case Study: Nazlouchay Basin in Urmia Lake Watershed)

نویسندگان [English]

  • M. Koohani 1
  • J. Behmanesh 1
  • V.R. Verdinejad 2
  • M. Mohammadpour 1

1 Urmia University

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

چکیده [English]

Introduction
Land-use changes and development of irrigated agricultural lands are very important factors that affect natural resources such as the quantity and quality of water resources and the environment. Land use change is attributed to two major processes. The first process is the change in land cover, which is related to the expansion or limitation of the area of land used (such as pasture, agricultural or urban land). The second process is a change in land cover management type (for example, changes in irrigation, fertilizer use, crop type, harvesting methods or surface impermeability). Recently the Urmia lake has been accompanied by a reduction in water resources and the continuation of this process can completely cause to dry Urmia Lake. One of the approvals of the Iranian government after the formation of the National Working Group for the Lake Urmia restoration program was to prevent the development of agricultural lands in this watershed since 2014. Unfortunately, no serious and effective action has been taken in this case yet, and this process has progressed to cause conflicts in this region. Game theory is one of the most important methods used in modeling and analyzing water and environmental resources conflicts.
Materials and Methods
In the present study, using GMCR + software, the water resources conflicts arising from agricultural land development has been analyzed. In this conflict, by accurately identifying the set of decision-makers and their strategies in the conflict process (Regional Water Company, Agriculture Organization, Justice, and Profiteering Farmers), the model was executed with 4 players, 6 options, and 64 states. Players' performance was assessed once as ideal behavior (importance to the environment, sustainable development, and preference of long-term over short-term interests) and then as the use of completing a questionnaire. Then 4 states in the ideal behavior as equilibrium states and 7 states in the condition of using the questionnaire results were extracted as equilibrium states. The conflict was also examined in the coalition state of 3 government organizations (Regional Water Company, Agriculture Organization, and Justice Organization). Finally, the most probable states of equilibrium in the game results were identified.
Results and Discussion
In the discussion concerning equilibrium points, it is crucial to consider that for resolving the dispute and the proposed solution, we need to examine not only the stability of these points but also the state's priority from the perspective of stakeholders. Based on the discussions and the output results of the conflict model using the GMCR+ model, the optimal response and conflict resolution can be found in scenario 12. This scenario holds a high priority for three key players: the Agricultural Organization, the Regional Water Company, and the Justice Department. However, it doesn't share the same level of priority with the Profiteering Farmers. The reason for this divergence lies in the preference for personal gain and profit pursuit over the broader interests of the entire catchment area.
Conclusion
In recent years, despite the imposed restrictions, the Urmia Lake Basin has witnessed a notable increase in the cultivation of water-intensive crops. This shift has transformed arid lands into irrigated ones and altered agricultural areas into residential zones. According to the principles of the tax evasion game, when land development carries no moral or financial consequences for profit-driven farmers, and they are aware that regulatory institutions will not commit excessive resources to prevent and effectively combat the expansion of illegal farmlands, Profiteering Farmers will consistently engage in unauthorized development under any conflict scenario. In light of the revenue potential of this situation and the opportunity to enhance one's social standing, Profiteering Farmers will persist in unauthorized development regardless of the prevailing conflict circumstances. The findings underscore the critical role of the Regional Water Company and the Agricultural Organization. These entities must proactively employ their legal capacities to impede and deter the expansion of agricultural lands. Additionally, the Justice Organization assumes primary responsibility as a crime prevention factor, while its secondary role as a judicial enforcer within this conflict situation appears fitting. Therefore, all situations are stable for Profiteering Farmers. It seems that creating a platform and conditions in which Profiteering Farmers do not develop agricultural land themselves or do not develop land due to the protection of government institutions, can be very thoughtful and effective.

کلیدواژه‌ها [English]

  • Agriculture land development
  • Common water resources
  • Game theory
  • Conflict analysis
  • Non-cooperative
  1. Bahrini, A., Riggs, R.J., & Esmaeili, M. (2021). In common resource conflicts, social choice rules, fallback bargaining, and related games. Journal of Hydrology, 602, 126663. https://doi.org/10.1016/j.jhydrol.2021.126663
  2. Danesh Yazdi, M., Abrishamchi, A., & Tajrishy, M. (2014). Conflict resolution of water resources allocations using the game theoretic approach: the case of Orumieh river basin. Journal of Water and Wastewater; Ab va Fazilab, 25(2), 48-57 (In Persian).
  3. Fang, L., Hipel, K.W., & Kilgour, D.M. (1993). Interactive decision making: the graph model for conflict resolution (Vol. 11). John Wiley & Sons.
  4. Farajzadeh Arnesa, M., Mianabadi, H., & Bagheri, A. (2020). Rethinking concepts and approaches to face water conflicts. Iran-Water Resources Research, 16(4), 205-224. https://sid.ir/paper/388143/fa
  5. FAO, F. (2018). Food and Agriculture Organization of the United Nations. Rome, URL: http://faostat.fao.org.
  6. Han, Z., Niyato, D., Saad, W., Başar, T., & Hjørungnes, A. (2012). Game theory in wireless and communication networks: theory, models, and applications. Cambridge university press.
  7. Kangabam, R.D., Selvaraj, M., & Govindaraju, M. (2019). Assessment of land uses land cover changes in Loktak Lake in Indo-Burma Biodiversity Hotspot using geospatial techniques. The Egyptian Journal of Remote Sensing and Space Science, 22(2), 137-143. https://doi.org/10.1016/j.ejrs.2018.04.005
  8. Madani, K. (2010). Game theory and water resources. Journal of Hydrology, 381(3-4), 225-238. https://doi.org/10.1016/j.jhydrol.2009.11.045
  9. Madani, K., & Hipel, K.W. (2007). Strategic insights into the Jordan River conflict. In World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat (pp. 1-10).
  10. Madani, K., & Hipel, K.W. (2011). Non-cooperative stability definitions for strategic analysis of generic water resources conflicts. Water Resources Management, 25, 1949-1977.
  11. Moghaddam, H.K., Javadi, S., Randhir, T.O., & Kavehkar, N. (2022). A multi-indicator, non-cooperative game model to resolve conflicts for aquifer restoration. Water Resources Management, 36(14), 5521-5543.
  12. Nash Jr, J.F. (1950). The bargaining problem. Econometrica: Journal of the Econometric Society, 155-162. https://doi.org/10.2307/1907266
  13. Nikoo, M.R. (2008). Formulation of a non-deterministic phase model for trading pollution discharge permits in rivers. Master Thesis in Civil Engineering, Tehran University, Tehran. (In Persian with English abstract)
  14. Nourollahi, M., Ziaei, A.N., & Davary, K. (2021). Proposing an optimal strategy in water allocation using non-cooperative game theory. Iran-Water Resources Research, 17(1), 166-180. https://doi.org/20.1001.1.17352347.1400.17.1.10.1
  15. Ostrom, E., Gardner, R., Walker, J., & Walker, J. (1994). Rules, games, and common-pool resources. University of Michigan Press.
  16. Pastine, I., Tuvana Pastine, T., & Humberstone, T. (2017). Introducing Game Theory - A Graphic Guide. Icon Books, Ltd, Omnibus Business Centre, 39-41 North Road, London, N7 9DP.
  17. Rêgo, L.C., da Silva Costa, J.P., de Castro Cardoso, G.C., & dos Santos, C.V. (2021). A graph model analysis of the conflict in the irrigated perimeter in Chapada do Apodi-Brazil. Environmental Challenges, 4, 100124. https://doi.org/10.1016/j.envc.2021.100124
  18. Safaee, A., & Malek Mohammadi, B. (2014). Game theoretic insights for sustainable common pool water resources governance (Case study: Lake Urmia water conflict). Journal of Environmental Studies, 40(1), 121-138.
  19. Vasef, M., Khalili, K., Rezaie, H., & Fatollahzadeh Attar, N. (2020). Ranking of the criteria to prevent indiscriminate land development with the help of Fuzzy Hierarchy Analysis (FAHP) technique. The second international congress of agricultural engineering, natural resources and environment, Tehran, https://civilica.com/doc/1127806/.
  20. Zarezadeh, M., Morid, S., Fatemi, F., & Madani, K. (2016). The strategic cooperation between Iran and Afghanistan in the Helmand basin is to allocate more water to the environment and control opium cultivation using the game theory approach.
  21. Zeinalzadeh, K., & Esmaeilnezhad, R. (2017). Report on the study and monitoring of the set of actions of the executive bodies in the implementation of the resolution "Prohibiting any increase in cultivated area (land development) and water-rich crops in the catchment area of Lake Urmia and preventing new development in the agriculture and natural resources sector". Urmia lacks Research Institute. P.75.
  22. Zoghi, M., Safae, A., & Malekmohammadi, B. (2014). Insights on game theory in conflict analysis of land use change (Case study: Tehran Dar Abad land area). Geographical Urban Planning Research (GUPR)2(3), 391-407. https://doi.org/22059/JURBANGEO.2014.53064

 

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