scholarly journals An application of Geographic Information System in mapping flood risk zones in a north central city in Nigeria

2013 ◽  
Vol 7 (6) ◽  
pp. 365-371 ◽  
Author(s):  
Rol Abah ◽  
Clement
Author(s):  
Mohd Talha Anees ◽  
Ahmad Farid Bin Abu Bakar ◽  
Lim Hwee San ◽  
Khiruddin Abdullah ◽  
Mohd Nawawi Mohd Nordin ◽  
...  

Flood can be assessed through flood vulnerability, risk, and susceptibility analysis using remote sensing, geographic information system, and hydrological modelling. In this chapter, different stages, complexities, and processes of flood vulnerability, risk, and susceptibility assessment were discussed. The study reveals that flood vulnerability should be assessed based on four aspects: physical, social, economic, and environmental. Flood risk should be assessed by three stages: risk analysis, disaster relief, and preparedness, whereas flood susceptibility assessment involves three processes. Overall, it was found that the responsible factors vary as per the local conditions, which need to be carefully analyzed and selected. Furthermore, the role of remote sensing and geographic information system in flood risk management were found important especially in flood risk mapping and in the selection of responsible flooding factors.


2012 ◽  
Vol 10 (1) ◽  
pp. 379-386 ◽  
Author(s):  
Xiaohui Su ◽  
Xiaodong Zhang ◽  
Siquan Yang ◽  
Sanchao Liu ◽  
Wei Su ◽  
...  

2021 ◽  
Vol 15 (3) ◽  
pp. 129-140
Author(s):  
Kouther Hasheem Rasn ◽  
Qutaiba Abdulwahhab Nsaif ◽  
Mudhar A. Al-Obaidi ◽  
Yakubu Mandafiya John

Floods are a great concern for people and infrastructure, and this is an issue which has increased in several regions around the globe in recent years. This study aims to evaluate flood risk areas and create a flood risk map using integrated remote sensing data and a geographic information system (GIS) in the Wasit governorate – eastern Iraq. Specifically, GIS‑based multi‑criteria analysis (MCA) was used to map flood hazard areas using a four‑criteria layer which is as follows: flow accumulation, slope, rainfall, and elevation. These four layers are standardized and combined using the overlay approach in ArcGIS software and a final map was produced. The study area was divided into five zones based on the results map, namely: very low, low, medium, high, and very high, according to the flood risk area. The resulting map indicates that over 60% of the study area is likely to experience a high and very high level of propensity of flooding. This study could be useful for government planners and decision‑makers to predict potential flooding areas and enhance flood management plans.


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