Araştırma Makalesi
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Yıl 2022, Cilt: 6 Sayı: 2, 202 - 236, 25.07.2022
https://doi.org/10.31807/tjwsm.1123808

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Agent-Based Approach on Water Resources Management: A Modified Systematic Review

Yıl 2022, Cilt: 6 Sayı: 2, 202 - 236, 25.07.2022
https://doi.org/10.31807/tjwsm.1123808

Öz

Social, economic, and ecological dimensions of water resources make water management a highly complex domain related to many intertwined human-nature systems. Therefore, the decision and implementation of sustainable policies require following the evidence-based approach. Agent-Based Modeling and Simulation is one of the latest computer-aided modeling and simulation applications widely used to understand the phenomena associated with water-related/human-oriented engineering systems. In this study, conducting a modified systematic review approach, a field-specific review of the 128 articles on water resources management with Agent-Based Modeling was presented. Application areas of Agent-Based Modeling in water resources management and examples of its use as a decision support tool were evaluated. As an integrative systematic review of Web of Science, Science Direct, and Google Scholar, this study summarizes the leading work of Agent-Based Modeling applications on water resources management. Current trends show that water research professionals have often used Agent-Based Modeling as a social simulation tool. Due to its role in facilitating interdisciplinary research, its application area is widening. However, there is a need for a comprehensible and open share of application-oriented information to guide the scientific community.

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  • Noël, P. H., & Cai, X. (2017). On the role of individuals in models of coupled human and natural systems: Lessons from a case study in the Republican River Basin. Environmental Modelling & Software, 92, 1-16. doi:10.1016/j.envsoft.2017.02.010
  • Noori, M., Emadi, A., & Fazloula, R. (2021). An agent-based model for water allocation optimization and comparison with the game theory approach. Water Supply, 21(7), 3584-3601. doi:10.2166/ws.2021.124
  • Nouri, A., Saghafian, B., Delavar, M., & Bazargan-Lari, M. R. (2019). Agent-Based Modeling for Evaluation of Crop Pattern and Water Management Policies. Water Resources Management, 33(11), 3707-3720. doi:10.1007/s11269-019-02327-3
  • Ohab-Yazdi, S. A., & Ahmadi, A. (2018). Using the agent-based model to simulate and evaluate the interaction effects of agent behaviors on groundwater resources, a case study of a sub-basin in the Zayandehroud River basin. Simulation Modelling Practice and Theory, 87, 274-292. doi:10.1016/j.simpat.2018.07.003
  • Oliva-Felipe, L., Verdaguer, M., Poch, M., Vázquez-Salceda, J., & Cortés, U. (2021). The Organisational Structure of an Agent-Based Model for the Management of Wastewater Systems. Water, 13(9). doi:10.3390/w13091258
  • Palmatier, R. W., Houston, M. B., & Hulland, J. (2018). Review articles: purpose, process, and structure. Journal of the Academy of Marketing Science, 46(1), 1-5. doi:10.1007/s11747-017-0563-4
  • Perello-Moragues, A., Poch, M., Sauri, D., Popartan, L. A., & Noriega, P. (2021). Modelling Domestic Water Use in Metropolitan Areas Using Socio-Cognitive Agents. Water, 13(8), 1024. Retrieved from https://www.mdpi.com/2073-4441/13/8/1024
  • Poch, M., Cortes, U., Lafuente, J., Colprim, J., Baeza, J., Comas, J., . . . Rodriguez-Roda, I. R. (2002). A hybrid supervisory system to support WWTP operation: implementation and validation. Water Science and Technology, 45(4-5), 289-297. doi:10.2166/wst.2002.0608
  • Ponte, B.; de la Fuente, D.; Pino, R. & Rosillo, R. (2015): “Real-Time Water Demand Forecasting System through an Agent-Based Architecture”, International Journal of Bio-Inspired Computation, vol. 7, no 3, (147-156).
  • Pouladi, P., Afshar, A., Afshar, M. H., Molajou, A., & Farahmand, H. (2019). Agent-based socio-hydrological modeling for restoration of Urmia Lake: Application of theory of planned behavior. Journal of Hydrology, 576, 736-748. doi:10.1016/j.jhydrol.2019.06.080
  • Ramsey, E. (2016). Use of a Household Survey in the Development of an Agent-Based Model to Support Water Demand Management in Jaipur, India. In World Environmental and Water Resources Congress 2016 (pp. 171-176).
  • Rixon, A., Moglia, M., & Burn, S. (2007). Chapter 4 - Exploring water conservation behaviour through participatory agent-based modelling. In A. Castelletti & R. S. Sessa (Eds.), Topics on System Analysis and Integrated Water Resources Management (pp. 73-96). Oxford: Elsevier.
  • Rojas, R., Castilla-Rho, J., Bennison, G., Bridgart, R., Prats, C., & Claro, E. (2022). Participatory and Integrated Modelling under Contentious Water Use in Semiarid Basins. Hydrology, 9(3). doi:10.3390/hydrology9030049
  • Saqalli, M., Thiriot, S., & Amblard, F. (2010). Investigating social conflicts linked to water resources trhough agent-based modelling. NATO Science for Peace and security series, 75, 142-157. Retrieved from https://halshs.archives-ouvertes.fr/halshs-00918476
  • Schlüter, M., & Pahl-Wostl, C. (2007). Mechanisms of Resilience in Common-pool Resource Management Systems an Agent-based Model of Water Use in a River Basin. Ecology and Society, 12(2). Retrieved from http://www.jstor.org/stable/26267867
  • Schroeder, O. B., Manez, M., & Jeffrey, P. (2009). The use of multi-agent based models to support water resources management The Moroccan case study. Abingdon: Routledge.
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  • Shafiee, M. E., & Berglund, E. Z. (2016). Agent-based modeling and evolutionary computation for disseminating public advisories about hazardous material emergencies. Computers, Environment and Urban Systems, 57, 12-25. doi:10.1016/j.compenvurbsys.2016.01.001
  • Smajgl, A., Heckbert, S., Ward, J., & Straton, A. (2009). Simulating impacts of water trading in an institutional perspective. Environmental Modelling & Software, 24(2), 191-201. doi:10.1016/j.envsoft.2008.07.005
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  • Tamburino, L., Di Baldassarre, G., & Vico, G. (2020). Water management for irrigation, crop yield and social attitudes: a socio-agricultural agent-based model to explore a collective action problem. Hydrological Sciences Journal, 65(11), 1815-1829. doi:10.1080/02626667.2020.1769103
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  • Yuan, S., Li, X., & Du, E. (2021). Effects of farmers’ behavioral characteristics on crop choices and responses to water management policies. Agricultural Water Management, 247. doi:10.1016/j.agwat.2020.106693
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  • Zamenian, H., & Abraham, D. M. (2020). An Agent-Based Simulation Model for Assessment of Water Consumption Patterns during Water Rate Increase Events. In Construction Research Congress 2020 (pp. 800-808).
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Toplam 126 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm TÜRKİYE SU BİLİMLERİ VE YÖNETİMİ DERGİSİ
Yazarlar

Kamil Aybuğa 0000-0003-0523-807X

Aysel Gamze Yücel Işıldar 0000-0001-8528-1806

Erken Görünüm Tarihi 25 Temmuz 2022
Yayımlanma Tarihi 25 Temmuz 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 6 Sayı: 2

Kaynak Göster

APA Aybuğa, K., & Yücel Işıldar, A. G. (2022). Agent-Based Approach on Water Resources Management: A Modified Systematic Review. Turkish Journal of Water Science and Management, 6(2), 202-236. https://doi.org/10.31807/tjwsm.1123808