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[1]
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Flood Risk Zone Identification Using Land Use/Land Cover Change Detection and AHP Analysis
Earth Sciences,
2026
DOI:10.11648/j.earth.20261501.16
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[2]
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Spatial prediction of flood susceptible areas using machine learning methods in the Siahkhor Watershed of Kermanshah province
Earth Science Informatics,
2025
DOI:10.1007/s12145-024-01539-5
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[3]
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Last-mile household preparedness for future disasters: a study of flooding in Kogi State, Nigeria
African Geographical Review,
2025
DOI:10.1080/19376812.2025.2476498
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[4]
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A comprehensive review of flood monitoring and evaluation in Nigeria
International Journal of Energy and Water Resources,
2025
DOI:10.1007/s42108-025-00356-w
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[5]
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Dimensions and drivers of social vulnerability to flood risk in Manafwa catchment, Eastern Uganda
Cogent Social Sciences,
2025
DOI:10.1080/23311886.2025.2493353
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[6]
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Socioeconomic Challenges of Environmental Catastrophes: A Study of Annual Floods at Dura Flood Plain Along Gboko to Katsina-Ala Road, Buruku LGA, Benue State, Nigeria
African Journal of Environment and Natural Science Research,
2025
DOI:10.52589/AJENSR-NOFJPINE
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[7]
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Artificial Intelligence-Driven Model for Evaluating the Economic Impact of Cross-Border Dam Water Release in Nigeria
2025 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC),
2025
DOI:10.1109/ETNCC66224.2025.11299612
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[8]
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Investigating the flood potential of basins to locate the implementation of remedial operations in the Siah Khor watershed using VIKOR, TOPSIS, and HEC-HMS model (case study: Siah Khor watershed-Islamabad west)
Environmental Earth Sciences,
2024
DOI:10.1007/s12665-024-11847-0
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[9]
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Public preference of flood-resilient housing technologies in Nigeria: a case study of Kogi State
International Journal of Disaster Resilience in the Built Environment,
2023
DOI:10.1108/IJDRBE-09-2022-0092
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[10]
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Weighted Linear Combination Procedures with GIS and Remote Sensing in Flood Vulnerability Analysis of Abeokuta Metropolis in Nigeria
Nigerian Journal of Environmental Sciences and Technology,
2021
DOI:10.36263/nijest.2021.01.0260
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