Araştırma Makalesi
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Yıl 2022, Cilt: 6 Sayı: 2, 202 - 236, 25.07.2022

Kamil Aybuğa , Aysel Gamze Yücel Işıldar

https://doi.org/10.31807/tjwsm.1123808

Öz

Kaynakça

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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

Kamil Aybuğa , Aysel Gamze Yücel Işıldar

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.

Anahtar Kelimeler

Agent-Based Modelling ABM Simulation Water Resources Management Sustainability

Kaynakça

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  • 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, 35(1), 60-90. doi:10.1016/j.reseneeco.2012.09.002
  • Nhim, T., Richter, A., & Zhu, X. (2019). The resilience of social norms of cooperation under resource scarcity and inequality — An agent-based model on sharing water over two harvesting seasons. Ecological Complexity, 40. doi:10.1016/j.ecocom.2018.06.001
  • Nhim, T., & Richter, A. (2022). Path dependencies and institutional traps in water governance – Evidence from Cambodia. Ecological Economics, 196. doi:10.1016/j.ecolecon.2022.107391
  • Nichita, C., & Oprea, M. (2007). An agent-based model for water quality control. In V. Pleşu & P. Ş. Agachi (Eds.), Computer Aided Chemical Engineering (Vol. 24, pp. 1217-1222): Elsevier.
  • Nickel, D., Barthel, R., & Braun, J. (2005). Large-scale water resources management within the framework of GLOWA-Danube—The water supply model. Physics and Chemistry of the Earth, Parts A/B/C, 30(6-7), 383-388. doi:10.1016/j.pce.2005.06.004
  • 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.
  • Schwarz, N., & Ernst, A. (2009). Agent-based modeling of the diffusion of environmental innovations — An empirical approach. Technological Forecasting and Social Change, 76(4), 497-511. doi:10.1016/j.techfore.2008.03.024
  • 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
  • Strickling, H., DiCarlo, M. F., Shafiee, M. E., & Berglund, E. (2020). Simulation of containment and wireless emergency alerts within targeted pressure zones for water contamination management. Sustainable Cities and Society, 52. doi:10.1016/j.scs.2019.101820
  • 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
  • Tillman, D. E., Larsen, T. A., Pahl-Wostl, C., & Gujer, W. (2005). Simulating development strategies for water supply systems. Journal of Hydroinformatics, 7(1), 41-51. doi:10.2166/hydro.2005.0005
  • Thompson, J. R., Frezza, D., Necioglu, B., Cohen, M. L., Hoffman, K., & Rosfjord, K. (2019). Interdependent Critical Infrastructure Model (ICIM): An agent-based model of power and water infrastructure. International Journal of Critical Infrastructure Protection, 24, 144-165. doi:10.1016/j.ijcip.2018.12.002
  • Tomičić, I., & Schatten, M. (2016). Agent-based framework for modeling and simulation of resources in self-sustainable human settlements: a case study on water management in an eco-village community in Croatia. International Journal of Sustainable Development & World Ecology, 23(6), 504-513. doi:10.1080/13504509.2016.1153527
  • Van Oel, P. R., & Van der Veen, A. (2011). Using agent-based modeling to depict basin closure in the Naivasha basin, Kenya: a framework of analysis. Procedia Environmental Sciences, 7, 32-37. doi:10.1016/j.proenv.2011.07.007
  • Wang, H., Zhang, J., & Zeng, W. (2018). Intelligent simulation of aquatic environment economic policy coupled ABM and SD models. Sci Total Environ, 618, 1160-1172. doi:10.1016/j.scitotenv.2017.09.184
  • Wang, Y., Zhou, Y., Franz, K., Zhang, X., Ding, K. J., Jia, G., & Yuan, X. (2021). An agent-based framework for high-resolution modeling of domestic water use. Resources, Conservation and Recycling, 169. doi:10.1016/j.resconrec.2021.105520
  • Watson, R., Wilson, H. N., Smart, P., & Macdonald, E. K. (2018). Harnessing Difference: A Capability-Based Framework for Stakeholder Engagement in Environmental Innovation. Journal of Product Innovation Management, 35(2), 254-279. doi:https://doi.org/10.1111/jpim.12394
  • Wise, S., & Crooks, A. T. (2012). Agent-based modeling for community resource management: Acequia-based agriculture. Computers, Environment and Urban Systems, 36(6), 562-572. doi:10.1016/j.compenvurbsys.2012.08.004
  • Wu, H., Bolte, J. P., Hulse, D., & Johnson, B. R. (2015). A scenario-based approach to integrating flow-ecology research with watershed development planning. Landscape and Urban Planning, 144, 74-89. doi:10.1016/j.landurbplan.2015.08.012
  • Xiao, Y., Fang, L., & Hipel, K. (2018). Centralized and Decentralized Approaches to Water Demand Management. Sustainability, 10(10). doi:10.3390/su10103466
  • Yang, J., Yang, Y. C. E., Chang, J., Zhang, J., & Yao, J. (2019). Impact of dam development and climate change on hydroecological conditions and natural hazard risk in the Mekong River Basin. Journal of Hydrology, 579. doi:10.1016/j.jhydrol.2019.124177
  • Yang, Y. C. E., Son, K., Hung, F., & Tidwell, V. (2020). Impact of climate change on adaptive management decisions in the face of water scarcity. Journal of Hydrology, 588. doi:10.1016/j.jhydrol.2020.125015
  • 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
  • Yuan, X.-C., Wei, Y.-M., Pan, S.-Y., & Jin, J.-L. (2014). Urban Household Water Demand in Beijing by 2020: An Agent-Based Model. Water Resources Management, 28(10), 2967-2980. doi:10.1007/s11269-014-0649-4
  • 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).
  • Zhang, P., Peeta, S., & Friesz, T. (2005). Dynamic Game Theoretic Model of Multi-Layer Infrastructure Networks. Networks and Spatial Economics, 5(2), 147-178. doi:10.1007/s11067-005-2627-0
  • Zhang, Y., Wu, Y., Yu, H., Dong, Z., & Zhang, B. (2013). Trade-offs in designing water pollution trading policy with multiple objectives: A case study in the Tai Lake Basin, China. Environmental Science & Policy, 33, 295-307. doi:10.1016/j.envsci.2013.07.002
  • Zhao, J., Cai, X., & Wang, Z. (2013). Comparing administered and market-based water allocation systems through a consistent agent-based modeling framework. J Environ Manage, 123, 120-130. doi:10.1016/j.jenvman.2013.03.005
  • Zolfagharipoor, M. A., & Ahmadi, A. (2021). Agent-based modeling of participants’ behaviors in an inter-sectoral groundwater market. J Environ Manage, 299, 113560. doi:10.1016/j.jenvman.2021.113560
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

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
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