Chapter 8. A decision-making system for managing the remediation of water resources in the Kherson region: agent-oriented modeling in the context of post-war economic recovery
Keywords:
Agent-Oriented Modelling (AOM), remediation, water resources, Agile approach, Geographic Information Systems (GIS), Artificial Intelligence (AI), Machine Learning (ML), post-war recovery, management system, agricultural business, Ecosystem, economic benefit
Synopsis
Transformations of national economies under conditions of instability
The study explores the theoretical and practical aspects of managing the remediation of territories in Ukraine affected by military activities. The authors argue for the necessity of employing unconventional scientific approaches to address military contamination, reconstruct and restore infrastructure following the largest war in Europe in terms of destruction and consequences since World War II. In the context of mitigating the environmental disaster caused by the destruction of the Nova Kakhovka Hydroelectric Power Plant dam, the authors propose the implementation of a simulation-based agent-oriented model for remediating water resources in the Kherson region. This model integrates geographic information systems, artificial intelligence, machine learning, and the Agile approach. According to the authors, the use of agent-oriented modelling in designing a management system for remediating military contamination on affected territories is a promising direction that can significantly improve the efficiency and effectiveness of recovery efforts. The developed and implemented models are designed to account for the complex interactions and dynamics of events in the socio-economic and ecological systems during remediation efforts. This approach will contribute to the optimal decision-making process for effective management solutions. It is substantiated that the integration of the project with advanced technologies and innovative engineering solutions can minimize the time required for remediation and multiply the effects of the recovery efforts.
As a platform for effective project management, the authors propose using the Agile approach, which has already proven to be a highly efficient method of managing teams in conditions of uncertainty. Agile emphasizes flexibility, adaptability, and active collaboration. This method will facilitate the involvement of all key stakeholders at every stage of project implementation, including government authorities, local administrations, public utilities, contractor companies performing remediation work, and international partners. This will help ensure transparency and synchronization of actions among all key agents, forming the basis of agent-oriented modelling. The implementation of the remediation and restoration project for water resources in the Kherson region is critically important to ensure water availability and restore the region's economic activities after the cessation of military operations.
Downloads
Download data is not yet available.
References
After two years of war, Ukraine sees deepening environmental wound (2024). Yale Environment 360. Available at: https://e360.yale.edu/digest/ukraine-war-environment-2024
Cummins, J. (2010). Why Some Wars Never End: The Stories of the Longest Conflicts in History. Fair Winds Press, 280.
Brokhauz, F. A., Efron, Y. A. (1890–1907). Entciklopedicheskii slovar. Saint-Petersburgю Available at: https://rus-brokgauz-efron.slovaronline.com/
Méndez‐Fajardo, S., Gonzalez, R. A., Barros‐Castro, R. A. (2017). Using Actor‐Network Theory in Agent‐Based Modelling. Social Systems Engineering. John Wiley & Sons, 157–177. https://doi.org/10.1002/9781118974414.ch8
Ellers, J., Hoogendoorn, M., Wendt, D. (2010). An Agent-Based Modeling Approach to Investigate Emergent Patterns in Ecological Systems. 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 6–13. https://doi.org/10.1109/wi-iat.2010.200
Radosavljevic, S., Sanga, U., Schlüter, M. (2024). Navigating simplicity and complexity of social-ecological systems through a dialogue between dynamical systems and agent-based models. Ecological Modelling, 495, 110788. https://doi.org/10.1016/j.ecolmodel.2024.110788
Sibertin-Blanc, C., Therond, O., Monteil, C., Mazzega, P. (2019). The Entity-Process Framework for Integrated Agent-Based Modeling of Social-Ecological Systems. Law, Public Policies and Complex Systems: Networks in Action, 57–86. https://doi.org/10.1007/978-3-030-11506-7_4
Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences, 99, 7280–7287. https://doi.org/10.1073/pnas.082080899
Yang, Y.-C. (2010). Modeling watershed management with an ecological objective – a multi-agent system based approach. Available at: https://typeset.io/papers/modeling-watershed-management-with-an-ecological-objective-a-3ozd9t5ntw?references_page=8
Martin, R., Schlüter, M. (2015). Combining system dynamics and agent-based modeling to analyze social-ecological interactions – an example from modeling restoration of a shallow lake. Frontiers in Environmental Science, 3. https://doi.org/10.3389/fenvs.2015.00066
Berglund, E. Z. (2015). Using Agent-Based Modeling for Water Resources Planning and Management. Journal of Water Resources Planning and Management, 141 (11). https://doi.org/10.1061/(asce)wr.1943-5452.0000544
Bahrami, N., Sadr, S. M. K., Afshar, A., Afshar, M. H. (2022). Application of Agent Based Models as a Powerful Tool in the Field of Water Resources Management. Computational Intelligence for Water and Environmental Sciences, 491–506. https://doi.org/10.1007/978-981-19-2519-1_23
Nouri, A., Saghafian, B., Bazargan-Lari, M. R., Delavar, M. (2022). Local water market development based on multi-agent based simulation approach. Groundwater for Sustainable Development, 19, 100826. https://doi.org/10.1016/j.gsd.2022.100826
Shirvani-Hosseini, S., Samadi-Koucheksaraee, A., Ahmadianfar, I., Gharabaghi, B. (2022). Data Mining Methods for Modeling in Water Science. Computational Intelligence for Water and Environmental Sciences, 157–178. https://doi.org/10.1007/978-981-19-2519-1_8
Gwapedza, D., Barreteau, O., Mantel, S., Paxton, B., Bonte, B., Tholanah, R. et al. (2024). Engaging stakeholders to address a complex water resource management issue in the Western Cape, South Africa. Journal of Hydrology, 639, 131522. https://doi.org/10.1016/j.jhydrol.2024.131522
Dong, H., Dacre, N., Baxter, D., Ceylan, S. (2024). What is Agile Project Management? Developing a New Definition Following a Systematic Literature Review. Project Management Journal, 55 (6), 668–688. https://doi.org/10.1177/87569728241254095
Khersonska torgovo-promislova palata. Zagalna іnformatsіya pro regіon. Geografіchne polozhennya і prirodnі resursi. Available at: https://www.tpp.ks.ua/khersonskij-region.html
Rapid Environmental Assessment of Kakhovka Dam Breach Ukraine, 2023 (2023). United Nations Environment Programme. https://doi.org/10.59117/20.500.11822/43696
EkoZagroza. Official resource of the Ministry of Environmental Protection and Natural Resources of Ukraine. Available at: https://ecozagroza.gov.ua/
Satellite Detected Waters Evolution over Khersonska, Dnipropetrovska, Mykolaivska,Odeska and Zaporizka Oblasts in Ukraine as of 03 and 05 July 2023 (2023). United Nations Satellite Office. Available at: https://unosat.org/products/3636
Study of the Destruction of the Kakhovka Dam and Its Impacts on Ecosystems, Agrarians, Other Civilians, and International Justice (2024). Truth Hounds. Available at: https://truth-hounds.org/en/cases/submerged-study-of-the-destruction-of-the-kakhovka-dam-and-its-impacts-on-ecosystems-agrarians-other-civilians-and-international-justice/
Khoriev, M., Karamushka, V., Huliaieva, O., Kuns, B. (2024). Assessment of water needs in the lower Dnipro sub-basin following the destruction of the Kakhovka Reservoir. https://doi.org/10.21203/rs.3.rs-4480879/v1o
Quamar, M. M., Al-Ramadan, B., Khan, K., Shafiullah, M., El Ferik, S. (2023). Advancements and Applications of Drone-Integrated Geographic Information System Technology – A Review. Remote Sensing, 15 (20), 5039. https://doi.org/10.3390/rs15205039
Palopak, Y., Huang, S.-J. (2024). Perceived impact of agile principles: Insights from a survey-based study on agile software development project success. Information and Software Technology, 176, 107552. https://doi.org/10.1016/j.infsof.2024.107552
Konsultatsii z hromadskistiu. Ministerstvo zakhystu dovkillia ta pryrodnykh resursiv Ukrainy. Available at: https://mepr.gov.ua/topics/ogoloshennya/konsultatsiyi-z-gromadskistyu/
Konsultatsii z hromadskistiu. Derzhavne ahentstvo vodnykh resursiv Ukrainy. Available at: https://www.davr.gov.ua/konsultacii-z-gromadskistyu
Elektronni konsultatsii z hromadskistiu. Ministerstvo rozvytku hromad ta terytorii Ukrainy. Available at: https://mtu.gov.ua/timeline/Proekti-normativnopravovih-aktiv.html
Cherniavskyi, B. (2024). Digital Technologies as an Accelerator of Remediation: a Strategic Vector for the Post-War Revitalization of Ukraine’s Territory. Transformational economy: theoretical and practical aspects. Riga: Baltija Publishing, 653–675.
Britchenko, I., Cherniavska, T. (2019). Blockchain technology in the fiscal process of Ukraine. Economic Studies, 28 (5), 134–148.
Tanklevska, N., Cherniavska, T., Skrypnyk, S., Boiko, V., Karnaushenko, A. (2023). Financing of Ukrainian agricultural enterprises: Correlation-regression analysis. Scientific Horizons, 26 (8), 127–139. https://doi.org/10.48077/scihor8.2023.127
Copyright (c) 2024 Tetiana Cherniavska, Nataliya Tanklevska, Bohdan Cherniavskyi
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
