全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Flood Risk Mapping of the Benin Municipalities at the Intersection of the Coastal Sedimentary Zone and the Crystalline Surface

DOI: 10.4236/jgis.2024.165020, PP. 321-342

Keywords: Geomatic, Flood Risk, Contact Line, Municipalities, Benin

Full-Text   Cite this paper   Add to My Lib

Abstract:

Climate change and population growth have led to the increase and/or intensification of flooding becoming a major issue. The objective of this study is to visualize flooding risk of municipalities at the intersection of the coastal sedimentary zone and the crystalline surface. The methodology adopted is based on geomatic approach, which involves documentary research, processing and assisted classification using remote sensing images and multi-criteria analysis of the Geographic Information System (GIS). Flooding risk is very high at 8.85% in Djidja, Toffo, Zè and Bonou municipalities. In other municipalities such as Agbangnizoun, Abomey, Bohicon, Za-Kpota and Cove, it is high of 46.85%. To the Southeast of the study area, it is located on the eastern and western banks of Oueme Valley. The medium risk represents 26.35% and is located in the municipalities of Ouinhi and Adjohoun. The other municipalities have a low rate of 17.95%. Risk modeling has made it possible to access the various levels of rising water that can cause flooding. Land-use planning decisions can be influenced by the results of this study.

References

[1]  Wallez, L. (2010) Flooding in West African Cities: Diagnosis and Elements for Strengthening Adaptation Capacities in the Greater Cotonou Area. Master’s Thesis, Université de Sherbrooke.
[2]  Fiorillo E., Hassimou I. and Tarchiani V. (2021) The Dynamics of Flooding in the Dosso Region, Niger, ANADIA2—Report N. 27.
https://hdl.handle.net/20.500.14243/395204
[3]  Hendricks, M.D., Meyer, M.A. and Wilson, S.M. (2022) Moving up the Ladder in Rising Waters: Community Science in Infrastructure and Hazard Mitigation Planning as a Pathway to Community Control and Flood Disaster Resilience. Citizen Science: Theory and Practice, 7, 18.
https://doi.org/10.5334/cstp.462
[4]  IPCC (2007) Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers.
https://www.ipcc.ch/site/assets/uploads/2018/03/ar4-wg2-spm-fr.pdf
[5]  Rango, A. and Salomonson, V.V. (1974) Regional Flood Mapping from Space. Water Resources Research, 10, 473-484.
https://doi.org/10.1029/wr010i003p00473
[6]  Blasco, F., Bellan, M.F. and Chaudhury, M.U. (1992) Estimating the Extent of Floods in Bangladesh Using SPOT Data. Remote Sensing of Environment, 39, 167-178.
https://doi.org/10.1016/0034-4257(92)90083-v
[7]  Yesou, H. and Chastanet, P. (2000) Contribution of Earth Observation Data to the Management of Slow Floods. Final Report WP3, Water and Fire Program, ESA.
[8]  Kourgialas, N.N. and Karatzas, G.P. (2011) Flood Management and a GIS Modelling Method to Assess Flood-Hazard Areas—A Case Study. Hydrological Sciences Journal, 56, 212-225.
https://doi.org/10.1080/02626667.2011.555836
[9]  Nasiri, H., Mohd Yusof, M.J. and Mohammad Ali, T.A. (2016) An Overview to Flood Vulnerability Assessment Methods. Sustainable Water Resources Management, 2, 331-336.
https://doi.org/10.1007/s40899-016-0051-x
[10]  World Bank and United Nations System (2011) Floods in Benin. Post-Disaster Needs Assessment Report.
[11]  Gharaibeh, N., Oti, I., Meyer, M., Hendricks, M. and Van Zandt, S. (2019) Potential of Citizen Science for Enhancing Infrastructure Monitoring Data and Decision-Support Models for Local Communities. Risk Analysis, 41, 1104-1110.
https://doi.org/10.1111/risa.13256
[12]  Saaty, T.L. (1977) A Scaling Method for Priorities in Hierarchical Structures. Journal of Mathematical Psychology, 15, 234-281.
https://doi.org/10.1016/0022-2496(77)90033-5
[13]  Zogning, M.M.O. (2017) Contribution of Geographic Information Systems to the Mapping of Flood Risk Areas in Yaoundé: Application to the Mfoundi Watershed. Master’s Thesis, University of Liège.
[14]  Xu, H. (2006) Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery. International Journal of Remote Sensing, 27, 3025-3033.
https://doi.org/10.1080/01431160600589179
[15]  Masson, P. and Pieczynski, W. (1993) SEM Algorithm and Unsupervised Statistical Segmentation of Satellite Images. IEEE Transactions on Geoscience and Remote Sensing, 31, 618-633.
https://doi.org/10.1109/36.225529
[16]  Tchindjang, M. (2012) Natural Risks in Cameroon. Course Support for Master Uramdeur 2011/2012 Yaounde I University the OFDA/CRED International Disaster Database.
https://www.emdat.be/
[17]  Slansky, M. (1962) Contribution to the Geological Study of the Coastal Sedimentary Basin of Dahomey and Togo. Memoir of the Regional Bureau of Geology and Mines (BRGM), No. 11, 165.
[18]  RESO-BSC (2004) Redefinition of the Base of the Coastal Sedimentary Basin of Benin. Mid-Term Seminar of the Project, Cotonou, 2-3 December 2004, 159.
[19]  Henonin, J., Russo, B., Mark, O. and Gourbesville, P. (2013) Real-Time Urban Flood Forecasting and Modelling—A State of the Art. Journal of Hydroinformatics, 15, 717-736.
https://doi.org/10.2166/hydro.2013.132
[20]  Hounton, C.C., Biao, I.E., Ouorou Barre, F.I., Vodounou, J.B. and Akponikpe, I.P.B. (2022) Mapping of Flood Risks in the Commune of Abomey-Calavi. Global Scientific Journal (GSJ), 10, 58.
https://hdl.handle.net/20.500.14243/395204
[21]  UNDP (2020) Annual Repport, Benin.
[22]  Malam, A.M., Mamadou, I., Abba, B., Vandervaere, J.P., Bouzou, M.I. and Descroix, L. (2020) Paradox of Water in the Zones of Base in Niger: Between Flooding and Shortage. Journal of Geography of the University of Ouagadougou, 2, Article ID: 7190.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133