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    Scientific-Professional Society for Disasaster Risk ManagementScientific-Professional Society for Disasaster Risk Management
    Home»News»Advanced Flood Risk Mapping in Bouarfa Watershed Using Integrated Machine Learning, GIS, and MCDM
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    Advanced Flood Risk Mapping in Bouarfa Watershed Using Integrated Machine Learning, GIS, and MCDM

    EditorBy EditorAugust 10, 2026No Comments2 Mins Read
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    Screenshot 2026 08 10 124524 Advanced Flood Risk Mapping in Bouarfa Watershed Using Integrated Machine Learning, GIS, and MCDM
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    In Morocco, floods occur frequently, often causing significant damage to infrastructure and the environment due to a lack of adequate protective measures. The unpredictability of these events is attributable to climate change and the irregular nature of weather conditions. However, determining flood susceptibility can facilitate the mitigation and prevention of risk. This study aims at mapping flood-susceptible areas in the Bouarfa watershed using a multi-criteria decision analysis (MCDA) approach integrated within a Geographic Information System (GIS). Seven key conditioning parameters were considered: altitude, slope, geology, drainage density, flow accumulation, land use/land cover (LULC), and soil. The Analytical Hierarchy Process (AHP) was used to assign weights to these factors. The results obtained demonstrate that 39.53% (546.24 km2) of the territory is exposed to a very low to moderate flood risk and 60.47% (835.59 km2) to a high to very high flood risk. The model’s accuracy was validated using historical flood locations and the Area Under the Curve (AUC) method, which yielded a value of 84.5%, indicating very good performance. This map serves as a critical tool for decision-makers for risk mitigation and land-use planning in this arid region.

    Authors

    • Alioua Zahar ElkheirGeographic Information Technology and Spatial Management Team, Communication, Education, Digital Use and Creativity Laboratory, Faculty of Arts and Humanities, Mohammed Premier University Oujda, Morocco.Author
    • Mezrhab AbdelhamidGeographic Information Technology and Spatial Management Team, Communication, Education, Digital Use and Creativity Laboratory, Faculty of Arts and Humanities, Mohammed Premier University Oujda, Morocco.Author
    • Laaboudi MohammedGeographic Information Technology and Spatial Management Team, Communication, Education, Digital Use and Creativity Laboratory, Faculty of Arts and Humanities, Mohammed Premier University Oujda, Morocco.Author
    • Achebour AliGeographic Information Technology and Spatial Management Team, Communication, Education, Digital Use and Creativity Laboratory, Faculty of Arts and Humanities, Mohammed Premier University OujdaAuthor
    • Sahil MohammedGeographic Information Technology and Spatial Management Team, Communication, Education, Digital Use and Creativity Laboratory, Faculty of Arts and Humanities, Mohammed Premier University OujdaAuthor
    • Elyagoubi SaidGeographic Information Technology and Spatial Management Team, Communication, Education, Digital Use and Creativity Laboratory, Faculty of Arts and Humanities, Mohammed Premier University OujdaAuthor
    • Melhaoui MohammedGeographic Information Technology and Spatial Management Team, Communication, Education, Digital Use and Creativity Laboratory, Faculty of Arts and Humanities, Mohammed Premier University OujdaAuthor

    DOI:

    https://doi.org/10.18485/ijdrm.2025.7.2.1

    Keywords:

    hierarchy analytical process (AHP), flood susceptibility, multi-criteria decision making (MCDM), vulnerability, Bouarfa watershed

    https://internationaljournalofdisasterriskmanagement.com/index.php/Vol1/article/view/138

     

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    Prof. Dr. Vladimir M. Cvetković is recognized as a leading expert in Disaster Risk Management, with a focus on Risk Reduction, Preparedness, Response, and Recovery. He has authored over 300 scientific papers published in domestic and international journals and proceedings, as well as 30 books.

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    Scientific-Professional Society for Disaster Risk Management (SPS-DRM) President’s Office: president@spsdrm.org Administrative Office: secretary@spsdrm.org Belgrade, Serbia | www.spsdrm.org
    Scientific-Professional Society for Disaster Risk Management, Belgrade, Serbia.

    The Association “Scientific-Professional Society for Disaster Risk Management”  (www.spsdr.com) is a non-governmental and non-profit association, established for an indefinite period, for the purpose of achieving objectives related to the advancement of scientific and professional knowledge and practice in the field of disaster risk management, emergencies, security, protection and community resilience, through the implementation of quantitative and/or qualitative research, publishing activities (journals, books and other publications), organizing national and international events, conducting formal and non-formal forms of education and professional development, preparing expert analyses, risk assessments and planning documents, developing digital platforms and knowledge bases, as well as other activities in accordance with the law and this Statute.

    International Journal of Disaster Risk Management

    The International Journal of Disaster Risk Management (IJDRM) is a double-blind peer-reviewed, open-access international scientific journal, published twice a year, dedicated to advancing interdisciplinary research, policy, and professional practice in the fields of disaster risk management, disaster risk reduction, hazards, emergencies, and resilience. The journal provides an international platform for researchers, academics, practitioners, policymakers, emergency managers, and other professionals to exchange knowledge, research findings, and innovative approaches to disaster prevention and management. IJDRM publishes theoretical, empirical, methodological, and applied contributions covering the entire disaster risk management cycle—prevention, mitigation, preparedness, response, recovery, reconstruction, and resilience-building.   www.ijdrm.com

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