Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka
This study presents a flood modelling approach aimed at enhancing planning strategies to mitigate flooding impacts in Lusaka City. By integrating factors such as slope, hydrostatic potential surface, and the built environment, a predictive flood model was developed. The methodology involved using G...
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| Format: | Article |
| Language: | English |
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Alanya Üniversitesi
2024-06-01
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| Series: | Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA |
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| Online Access: | https://journal.iccaua.com/jiccaua/article/view/502 |
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| author | Penjani Hopkins Nyimbili Mukuka Himunga Mulenga Bwalya J. Kawimbe Faustin A. S. Banda Erastus Misheng’u Mwanaumo Wellington Didibhuku Thwala |
| author_facet | Penjani Hopkins Nyimbili Mukuka Himunga Mulenga Bwalya J. Kawimbe Faustin A. S. Banda Erastus Misheng’u Mwanaumo Wellington Didibhuku Thwala |
| author_sort | Penjani Hopkins Nyimbili |
| collection | DOAJ |
| description |
This study presents a flood modelling approach aimed at enhancing planning strategies to mitigate flooding impacts in Lusaka
City. By integrating factors such as slope, hydrostatic potential surface, and the built environment, a predictive flood model
was developed. The methodology involved using Geographic Information System (GIS) techniques and digital elevation
models (DEMs) to assess geological features and manmade structures. Precipitation patterns and water demand analyses
aided in computing a hydrostatic potential surface through watershed delineation. The generated flood model produced
comprehensive flood maps illustrating water drainage in Lusaka, identifying vulnerable areas using Multi-Criteria Decision
Analysis (MCDA) techniques. Results highlight the complex interaction between geographical features and human
infrastructure in flood dynamics. This study contributes to informing zoning policies and disaster response planning, aiming
to reduce the impact of future flooding events.
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| format | Article |
| id | doaj-art-58d13547cc9d4e55bae69d2cf83b5508 |
| institution | OA Journals |
| issn | 3023-7009 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Alanya Üniversitesi |
| record_format | Article |
| series | Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA |
| spelling | doaj-art-58d13547cc9d4e55bae69d2cf83b55082025-08-20T02:03:00ZengAlanya ÜniversitesiProceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA3023-70092024-06-017110.38027/ICCAUA2024EN0093Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in LusakaPenjani Hopkins Nyimbili0Mukuka Himunga Mulenga1Bwalya J. Kawimbe2Faustin A. S. Banda3Erastus Misheng’u Mwanaumo4Wellington Didibhuku Thwala5University of Zambia, Department of Geomatic Engineering, Lusaka, ZambiaUniversity of Zambia, Department of Geomatic Engineering, Lusaka, ZambiaUniversity of Zambia, Department of Geomatic Engineering, Lusaka, ZambiaUniversity of Zambia, Department of Geomatic Engineering, Lusaka, ZambiaUniversity of South Africa (UNISA), Department of Civil Engineering, College of Science, Engineering and Technology, Pretoria, 0003, South AfricaFaculty of Engineering, Built Environment and Information Technology, Walter Sisulu University, Eastern Cape, South Africa This study presents a flood modelling approach aimed at enhancing planning strategies to mitigate flooding impacts in Lusaka City. By integrating factors such as slope, hydrostatic potential surface, and the built environment, a predictive flood model was developed. The methodology involved using Geographic Information System (GIS) techniques and digital elevation models (DEMs) to assess geological features and manmade structures. Precipitation patterns and water demand analyses aided in computing a hydrostatic potential surface through watershed delineation. The generated flood model produced comprehensive flood maps illustrating water drainage in Lusaka, identifying vulnerable areas using Multi-Criteria Decision Analysis (MCDA) techniques. Results highlight the complex interaction between geographical features and human infrastructure in flood dynamics. This study contributes to informing zoning policies and disaster response planning, aiming to reduce the impact of future flooding events. https://journal.iccaua.com/jiccaua/article/view/502Urban Flood ModelGeographic Information System (GIS)Hydrostatic Potential SurfaceMulti-Criteria Decision Analysis (MCDA)Disaster Risk Planning |
| spellingShingle | Penjani Hopkins Nyimbili Mukuka Himunga Mulenga Bwalya J. Kawimbe Faustin A. S. Banda Erastus Misheng’u Mwanaumo Wellington Didibhuku Thwala Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA Urban Flood Model Geographic Information System (GIS) Hydrostatic Potential Surface Multi-Criteria Decision Analysis (MCDA) Disaster Risk Planning |
| title | Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka |
| title_full | Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka |
| title_fullStr | Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka |
| title_full_unstemmed | Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka |
| title_short | Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka |
| title_sort | urban flood modelling a geospatial evaluation of drainage systems for resilient city planning in lusaka |
| topic | Urban Flood Model Geographic Information System (GIS) Hydrostatic Potential Surface Multi-Criteria Decision Analysis (MCDA) Disaster Risk Planning |
| url | https://journal.iccaua.com/jiccaua/article/view/502 |
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