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An uncertain agent-based model for socio-ecological simulation of groundwater use in irrigation: A case study of Lake Urmia Basin, Iran

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  • Anbari, Mohammad Javad
  • Zarghami, Mahdi
  • Nadiri, Ata-Allah

Abstract

Socio-ecological systems include diverse resources of complexity involving complicated interactions, feedback, dynamic behavior patterns, heterogeneity in agents’ characteristics and behaviors, as well as system uncertainties. Agent-based modeling is introduced as a tool to simulate different levels of stakeholders and interactions, including individual, group, and institutional agents in complex socio-ecological systems. In the present study, an agent-based model was developed to explore sustainable solutions in uncertain conditions for groundwater restoration of a critical aquifer in the Lake Urmia Basin, Iran. Different projects for aquifer restoration such as wells monitoring, license adjustment, and modern irrigation development were implemented in the developed framework. The results showed that it is possible to alleviate the negative balance of the aquifer in case of necessary coordination in the projects implementation. So that during the simulation period, while increasing the total annual net income of the cultivation by €1.3 million (about 7%), the groundwater level drawdown can be compensated by about 5 m (about 50% of the decline over the past 30 years). Results of sensitivity analysis on the risk-taking behavior of farmer agents showed that it has a more significant impact on the total income than groundwater level. In the risk-seeking society conditions, a 10% increase of total annual net income is expected in the early years of simulation. The framework is used to learn about the influences of agents’ objectives, characteristics, and behaviors on the system variability. Systematic analysis in such a framework provides a better understanding of system structures to support decision-making under uncertainty in a participatory process.

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  • Anbari, Mohammad Javad & Zarghami, Mahdi & Nadiri, Ata-Allah, 2021. "An uncertain agent-based model for socio-ecological simulation of groundwater use in irrigation: A case study of Lake Urmia Basin, Iran," Agricultural Water Management, Elsevier, vol. 249(C).
    • Handle: RePEc:eee:agiwat:v:249:y:2021:i:c:s0378377421000615
    DOI: 10.1016/j.agwat.2021.106796
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    1. Vermeulen, Ben & Pyka, Andreas, 2016. "Agent-based modeling for decision making in economics under uncertainty," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-33.
    2. An, Li, 2012. "Modeling human decisions in coupled human and natural systems: Review of agent-based models," Ecological Modelling, Elsevier, vol. 229(C), pages 25-36.
    3. Aghaie, Vahid & Alizadeh, Hosein & Afshar, Abbas, 2020. "Agent-Based hydro-economic modelling for analysis of groundwater-based irrigation Water Market mechanisms," Agricultural Water Management, Elsevier, vol. 234(C).
    4. Joseph Bakarji & Daniel O’Malley & Velimir V. Vesselinov, 2017. "Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3881-3898, September.
    5. Junying Chu & Can Wang & Jining Chen & Hao Wang, 2009. "Agent-Based Residential Water Use Behavior Simulation and Policy Implications: A Case-Study in Beijing City," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(15), pages 3267-3295, December.
    6. Masih Akhbari & Neil Grigg, 2015. "Managing Water Resources Conflicts: Modelling Behavior in a Decision Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5201-5216, November.
    7. le Bars, M. & Attonaty, Jean Marie & Pinson, S., 2002. "An Agent-Based Simulation for Water Sharing Between Different Users," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24829, European Association of Agricultural Economists.
    8. Rao, N. H. & Sarma, P. B. S. & Chander, Subhash, 1988. "A simple dated water-production function for use in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 13(1), pages 25-32, April.
    9. Farhadi, Saber & Nikoo, Mohammad Reza & Rakhshandehroo, Gholam Reza & Akhbari, Masih & Alizadeh, Mohammad Reza, 2016. "An agent-based-nash modeling framework for sustainable groundwater management: A case study," Agricultural Water Management, Elsevier, vol. 177(C), pages 348-358.
    10. Benjamin Saunders & Julius Sim & Tom Kingstone & Shula Baker & Jackie Waterfield & Bernadette Bartlam & Heather Burroughs & Clare Jinks, 2018. "Saturation in qualitative research: exploring its conceptualization and operationalization," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1893-1907, July.
    11. Masih Akhbari & Neil Grigg, 2013. "A Framework for an Agent-Based Model to Manage Water Resources Conflicts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(11), pages 4039-4052, September.
    12. Nguyen, N.P. & Shortle, J.S. & Reed, P.M. & Nguyen, T.T., 2013. "Water quality trading with asymmetric information, uncertainty and transaction costs: A stochastic agent-based simulation," Resource and Energy Economics, Elsevier, vol. 35(1), pages 60-90.
    13. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    14. Alireza Nouri & Bahram Saghafian & Majid Delavar & Mohammad Reza Bazargan-Lari, 2019. "Agent-Based Modeling for Evaluation of Crop Pattern and Water Management Policies," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3707-3720, September.
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    1. Yongfeng Tan & Apurbo Sarkar & Airin Rahman & Lu Qian & Waqar Hussain Memon & Zharkyn Magzhan, 2021. "Does External Shock Influence Farmer’s Adoption of Modern Irrigation Technology?—A Case of Gansu Province, China," Land, MDPI, vol. 10(8), pages 1-16, August.
    2. Emami, Somayeh & Dehghanisanij, Hossein & Hajimirzajan, Amir, 2024. "Agent-based simulation model to evaluate government policies for farmers’ adoption and synergy in improving irrigation systems: A case study of Lake Urmia basin," Agricultural Water Management, Elsevier, vol. 294(C).
    3. Okura, Fumi & Budiasa, I Wayan & Kato, Tasuku, 2022. "Exploring a Balinese irrigation water management system using agent-based modeling and game theory," Agricultural Water Management, Elsevier, vol. 274(C).

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