Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Identifying the Flood Hazard Zones in Urban Area Using Flood Hazard Index (FHI)—A Case of Capital City of India
Floods are one of the most destructive natural catastrophes due to the extensive damage to property, infrastructure, and human lives. It is difficult to forecast which areas will be flooded due to the dynamic and intricate nature of floods. As a result, flood hazard zones can be identified early and flood disasters can be managed more effectively. The flood extent map of the Yamuna River flood in Delhi in 2010 was utilized to determine the inundated area in this study. In Delhi, the Flood Hazard Index (FHI) was also employed in a multi-criteria decision-making strategy to spatially demarcate the distinct flood zones. To establish the relationship between flood inundation and influential factors, multicollinearity diagnostics test was used. Receiver Operating Characteristic Curve (ROC) was used to validate the flood hazard zones model. The entire inundated area was 5.7% (about 79.85 km2), with agriculture being the most affected by the flood, with a 63% area under flood. According to the flood hazard map, 8.75% of Delhi is in a very high flood hazard zone. Built-up regions made up 39.66% of the zone with a very high flood threat, while agricultural made up 32.9%. The approach and solution-oriented results presented in this chapter will aid regional and municipal authorities and policymakers in lowering flood risks and developing appropriate mitigation measures to prevent potential harm.
Identifying the Flood Hazard Zones in Urban Area Using Flood Hazard Index (FHI)—A Case of Capital City of India
Floods are one of the most destructive natural catastrophes due to the extensive damage to property, infrastructure, and human lives. It is difficult to forecast which areas will be flooded due to the dynamic and intricate nature of floods. As a result, flood hazard zones can be identified early and flood disasters can be managed more effectively. The flood extent map of the Yamuna River flood in Delhi in 2010 was utilized to determine the inundated area in this study. In Delhi, the Flood Hazard Index (FHI) was also employed in a multi-criteria decision-making strategy to spatially demarcate the distinct flood zones. To establish the relationship between flood inundation and influential factors, multicollinearity diagnostics test was used. Receiver Operating Characteristic Curve (ROC) was used to validate the flood hazard zones model. The entire inundated area was 5.7% (about 79.85 km2), with agriculture being the most affected by the flood, with a 63% area under flood. According to the flood hazard map, 8.75% of Delhi is in a very high flood hazard zone. Built-up regions made up 39.66% of the zone with a very high flood threat, while agricultural made up 32.9%. The approach and solution-oriented results presented in this chapter will aid regional and municipal authorities and policymakers in lowering flood risks and developing appropriate mitigation measures to prevent potential harm.
Identifying the Flood Hazard Zones in Urban Area Using Flood Hazard Index (FHI)—A Case of Capital City of India
GIScience & Geo-environmental Modelling
Rahman, Atiqur (Herausgeber:in) / Sen Roy, Shouraseni (Herausgeber:in) / Talukdar, Swapan (Herausgeber:in) / Shahfahad (Herausgeber:in) / Rathi, Nitin (Autor:in) / Mahato, Susanta (Autor:in) / Pandey, Deep Narayan (Autor:in) / Joshi, Pawan K. (Autor:in)
04.03.2023
17 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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