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Application of GIS and MCDA in flood susceptibility modeling in Jigawa State, Nigeria | ||
| مدل سازی و مدیریت آب و خاک | ||
| مقاله 1، دوره 5، شماره 4، 1404، صفحه 1-14 اصل مقاله (1.41 M) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22098/mmws.2025.18160.1653 | ||
| نویسندگان | ||
| Muttaka Idris* 1؛ Adamu Mustapha2؛ Akinola Adesuji Komolafe3 | ||
| 1Assistant Lecturer, Department of Geography, Faculty of Earth and Environmental Science, Aliko Dangote University of Science and Technology, Wudil, Nigeria | ||
| 2Professor, Department of Geography, Faculty of Earth and Environmental Science, Aliko Dangote University of Science and Technology, Wudil, Nigeria | ||
| 3Associate professor, Department of Remote Sensing and Geoscience Information System, School of Earth and Mineral Science, Federal University of Technology, Akure, Nigeria | ||
| چکیده | ||
| Flood disaster is considered as one of the devastating and destructive in the world. Due to its high concern, predicting areas with varying susceptibility is crucial. This study aims at identifying and mapping areas and extent of varying flood susceptible areas in Jigawa State. multi criteria decision Analytical Hierarchy Process (AHP) and geographic information science (GIS) were used. Distance to river, Elevation, Flow accumulation, Lineament density, Slope, Geology, Soil and Land use were used as explanatory parameters to develop the model. The raster data parameters were analyzed using ArcGIS 10.1 and AHP was calculated. The model ranked distance to river high followed by elevation, flow-accumulation, lineament, land use and land cover, slope, geology, soil. Area covered by very high and high susceptibility was 27.68% and 29.20% respectively. The use of analytical hierarchy process, a multi criteria process has modeled the susceptibility to flood in Jigawa state accurately. Among the 23 Local Government Areas in the study area, 12 fell within very high and high susceptibility areas covering 56.88%. The study recommends adopting early warning system strategies to prevent the future flood disaster. | ||
| کلیدواژهها | ||
| Flood Assessment؛ MCDA؛ Disaster؛ Jigawa State؛ LULC | ||
| مراجع | ||
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References Adeoye, N. O., Ayanlade, A., &Babatimehin, O. (2009). Climate change and menace of floods in Nigerian cities: socio-economic implications. Advances in Natural and Applied Sciences, 3(3), 369-378. https://pubs.sciepub.com/jgg/5/5/2/index.html Adeoye, N.O., Ayanlade, A. and Babatimehin, O. (2009). “Climate change and menace of floods in Nigerian cities: socio-economic implications”, Advances in Natural and Applied Sciences, 3(3): 369-377. doi: 10.4236/gep.2016.48004 Akinbobola, A., Okogbue, E. C., &Olajiire, O. O. (2015). A GIS based flood risk mapping along the Niger-Benue river basin in Nigeria using watershed approach. Ethiopian Journal of Environmental Studies and Management, 8(6), 616-627. doi:10.4314/ejesm.v8i6.1 Alhamdu, Ezra Enoch, Takana Abubakar, and Timothy Joseph Chiroma (2022). "Flood Vulnerability Assessment and Risk Management Of Greater Yola, Adamawa State, Nigeria." Faculty of Environmental Studies, University of Uyo, Uyo, Nigeria: 117. https://uniuyo.edu.ng/wp-content/uploads/2021/09/JED2021August.pdf Amede, T., Van den Akker, E., Berdel, W., Keller, C., Tilahun, G., Dejen, A., Legesse, G. and Abebe, H. (2020). Facilitating livelihoods diversification through flood-based land restoration in pastoral systems of Afar, Ethiopia. Renewable Agriculture and Food Systems, 1-12. doi: 10.1017/S1742170520000058 Apollonio, C., Balacco, G., Novelli, A., Tarantino, E., &Piccinni, A. F. (2016). Land use change impact on flooding areas: The case study of Cervaro Basin (Italy). Sustainability, 8(10), 996. doi: 10.3390/su8100996 Azua, S., Youngu, T. T., Aliyu, Y. A., Shebe, M. W., &Sule, J. O. (2019). Spatial multi-criteria analysis for mapping of flood vulnerable areas in Fagge Local Government Area of Kano State, Nigeria. FUTY Journal of the Environment, 13(1), 23-35. https://www.ajol.info/index.php/fje/article/view/188680 Budiyono, Y., Aerts, J. C., Tollenaar, D., & Ward, P. J. (2016). River flood risk in Jakarta under scenarios of future change. Natural hazards and earth system sciences, 16(3), 757-774. doi: 10.5194/nhess-16-757-2016 Chang, C. W., Wu, C. R., Lin, C. T., & Lin, H. L. (2007). Evaluating digital video recorder systems using analytic hierarchy and analytic network processes. Information Sciences, 177(16), 3383-3396. doi: 10.1016/j.ins.2007.02.010 Chen, Y. R., Yeh, C. H., & Yu, B. (2016). Flood damage assessment of an urban area in Taiwan. Natural Hazards, 83(2), 1045-1055. https://ideas.repec.org/a/spr/nathaz/v83y2016i2d10.1007_s11069-016-2362-5.html Chukwuma, E. C., Okonkwo, C. C., Ojediran, J. O., Anizoba, D. C., Ubah, J. I., & Nwachukwu, C. P. (2021). A GIS based flood vulnerability modelling of Anambra State using an integrated IVFRN-DEMATEL-ANP model. Heliyon, 7(9), e08048. doi: 10.1016/j.heliyon.2021.e08048 Death, R. G., Fuller, I. C., & Macklin, M. G. (2015). Resetting the river template: The potential for climate‐related extreme floods to transform river geomorphology and ecology. Freshwater Biology, 60(12), 2477-2496. doi: 10.1111/FWB.12639 Douglas, I. (2017). Flooding in African cities, scales of causes, teleconnections, risks, vulnerability and impacts. International journal of disaster risk reduction, 26, 34-42. doi: 10.1016/j.ijdrr.2017.09.024 El Morjani, Z. E. A., SeifEnnasr, M., Elmouden, A., Idbraim, S., Bouaakaz, B., & Saad, A. (2016). Flood hazard mapping and modeling using GIS applied to the Souss river watershed. The Souss‐Massa River Basin, Morocco, 57-93. doi: 10.1007/698_2016_69 https://floodlist.com/africa/nigeria-floods-jigawa-kano-kebbi-september-2020 Jeb, D. N., & Aggarwal, S. P. (2008). Flood inundation hazard modeling of the River Kaduna using remote sensing and geographic information systems. Journal of applied sciences research, 4(12), 1822-1833. https://www.aensiweb.com/old/jasr/jasr/2008/1822-1833.pdf Khoirunisa, N., Ku, C. Y., & Liu, C. Y. (2021). A GIS-based artificial neural network model for flood susceptibility assessment. International Journal of Environmental Research and Public Health, 18(3), 1072. doi: 10.3390/ijerph18031072 Khosravi, K., Shahabi, H., Pham, B.T., Adamowski, J., Shirzadi, A., Pradhan, B., Dou, J., Ly, H.B., Gróf, G., Ho, H.L. and Hong, H. (2019). A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods. Journal of Hydrology, 573, 311-323. doi: 10.1016/j.jhydrol.2019.03.073 Lappas, I., &Kallioras, A. (2019). Flood susceptibility assessment through GIS-based multi-criteria approach and analytical hierarchy process (AHP) in a river basin in Central Greece. Parameters (Malczewski, 1999), 6(3), 738-751. https://www.irjet.net/archives/V6/i3/IRJET-V6I3137.pdf Mahmoud, Shereif H., and Thian Yew Gan. "Multi-criteria approach to develop flood susceptibility maps in arid regions of Middle East." Journal of Cleaner Production 196 (2018): 216-229. doi: 10.1016/j.jclepro.2018.06.047 Mustapha, A., Yakudima, I. I., Alhaji, M., Nabegu, A. B., Dakata, F. A. G., Umar, Y. A., & Musa, B. U. (2014). Overview of the physical and human setting of Kano region, Nigeria. Research Journali’s Journal of Geography, 1(5). Nalami, Z. M., Ibrahim, M., & Usman, A. (2019). The Effect of Hadejia- Jama ’ are River Basin Development Authority on Dry Season Farming in Kura Local Government Area of Kano State , Nigeria. 19(4), 215–220. https://managementjournal.usamv.ro/pdf/vol.19_4/Art31.pdf Njoku, C. G., Efiong, J., &Ayara, N. A. N. (2020). A geospatial expose of flood-risk and vulnerable areas in Nigeria. International Journal of Applied Geospatial Research (IJAGR), 11(3), 87-110. https://ideas.repec.org/a/igg/jagr00/v11y2020i3p87-110.html Oriji, C. C. (2015). What to do about climate change-caused flooding and the associated diseases in rivers state of Nigeria. Global Journal of Human-Social Science Research, 15(4), 29-33. doi:10.17406/gjhssbvol15is4pg29 Oriola, E., &Chibuike, C. (2016). Flood risk analysis of Edu local government area (Kwara State, Nigeria). Geography, Environment, Sustainability, 9(3), 106-116. doi: 10.15356/2071-9388_03v09_2016_07 Otokiti, K., Akinola, O., &Oriri, O. (2022). Multi-Criteria Decision Analysis AndGis Mapping Of Flood Vulnerability In The Core Of Lagos State Nigeria. Ethiopian Journal of Environmental Studies & Management, 15(2), 184-200. doi: https://ejesm.org/wp-content/uploads/2022/05/ejesm.v15i2.5.pdf Poussin, J. K., Botzen, W. W., &Aerts, J. C. (2014). Factors of influence on flood damage mitigation behaviour by households. Environmental Science & Policy, 40, 69-77. doi:10.1016/j.envsci.2014.01.013 Rahimy P (2012) Effects of soil depth spatial variation on runoff simulation, using the Limburg Soil Erosion Model (LISEM), a case study in Faucon Catchment, France. Soil Water Res. 7 52–63. doi: 10.17221/25/2011-SWR Rahman, M., Chen, N., Elbeltagi, A., Islam, M.M., Alam, M., Pourghasemi, H.R., Tao, W., Zhang, J., Shufeng, T., Faiz, H. and Baig, M.A. (2021). Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh. Journal of Environmental Management, 295, 113086. doi: 10.1016/j.jenvman.2021.113086 Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234-281. doi: 10.1016/0022-2496(77)90033-5 Satterthwaite, D. (2007). Adapting to climate change in urban areas: the possibilities and constraints in low-and middle-income nations (Vol. 1). Iied. www.iied.org/pubs/display.php?o=10549IIED Shuaibu, A. (2020). Flood Reduction through Flood Risk and Vulnerability Assessment and Mapping in Hadejia River Basin, Nigeria (Master's thesis, PAUWES). https://repository.pauwes-cop.net/handle/1/432 Tudunwada, I.Y., Abbas, A. (2022): Geospatial Profiling of Flood Victims and Associated Losses of Lives and Properties in the Aftermath of 2022 Floods in Jigawa State, Northern Nigeria. doi:10.2139/ssrn.5079232 Tukur, A. I., Nabegu, A. B., Abba Umar, D. U., Olofin, E. A., &Sulaiman, W. N. A. (2018). Groundwater condition and management in Kano Region, northwestern Nigeria. Hydrology, 5(1), 16. doi: 10.3390/hydrology5010016 Vojtek, M., &Vojteková, J. (2019). Flood susceptibility mapping on a national scale in Slovakia using the analytical hierarchy process. Water, 11(2), 364. doi: 10.3390/w11020364 Wijkman, A., & Timberlake, L. (2021). Natural disasters: acts of God or acts of man?. Routledge. ISBN 9780367369330 Zakaria, A., Umar, N.K., Mohammad, L.A., and Yusuf, R.O. (2022): Flood risks factors and their prevalence in some selected local government areas of Jigawa State. Dutse Journal of Pure and Applied Sciences, Nigeria. doi:10.4314/dujopas.v7i4b.8Zakaria, Aliyu, Nura Khalil Umar, Laraba Ahmed Mohammad, and R. O. Yusuf. (2022) Flood risks factors and their prevalence in some selected local government areas of Jigawa State, Nigeria. doi:10.4314/dujopas.v7i4b.8 Zhao, G., Pang, B., Xu, Z., Peng, D., &Zuo, D. (2020). Urban flood susceptibility assessment based on convolutional neural networks. Journal of Hydrology, 590, 125235. doi:10.1016/j.jhydrol.2020.125235 Zhao, L., Huang, W., Chen, J., Dong, Y., Ren, B., & Geng, Y. (2020). Land use/cover changes in the Oriental migratory locust area of China: Implications for ecological control and monitoring of locust area. Agriculture, Ecosystems & Environment, 303, 107110. doi: 10.1016/j.agee.2020.107110 | ||
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