Flood Vulnerability, Risk, and Susceptibility Assessment

2020 ◽  
pp. 1-27
Author(s):  
Mohd Talha Anees ◽  
Ahmad Farid Bin Abu Bakar ◽  
Lim Hwee San ◽  
Khiruddin Abdullah ◽  
Mohd Nawawi Mohd Nordin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Flood Risk ◽  
Geographic Information ◽  
Susceptibility Assessment ◽  
Flood Vulnerability ◽  
Local Conditions ◽  
Flood Susceptibility ◽  
Flood Risk Mapping

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.

scholarly journals Designation of Flood Risk Zones Using the Geographic Information System Technique and Remote Sensing Data in Wasit, Iraq

2021 ◽  
Vol 15 (3) ◽  
pp. 129-140
Author(s):  
Kouther Hasheem Rasn ◽  
Qutaiba Abdulwahhab Nsaif ◽  
Mudhar A. Al-Obaidi ◽  
Yakubu Mandafiya John
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Flood Risk ◽  
Flood Hazard ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Risk Area ◽  
Sensing Data ◽  
Very High

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.

scholarly journals PEMETAAN DAERAH RAWAN BANJIR DENGAN PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS DI KECAMATAN KUPANG TIMUR KABUPATEN KUPANG PROVINSI NUSA TENGGARA TIMUR

2018 ◽  
Vol 3 (1) ◽  
pp. 73-79
Author(s):  
Nuryanti Nuryanti ◽  
Jehunias L. Tanesib ◽  
Ali Warsito
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Research Method ◽  
Geographic Information ◽  
Flood Vulnerability ◽  
Land Cover Map ◽  
Rainfall Map ◽  
Slope Class ◽  
Flood Prone Areas

Abstrak Telah dilakukan pemetaan daerah rawan banjir di Kecamatan Kupang Timur Kabupaten Kupang Provinsi Nusa Tenggara Timur dengan aplikasi penginderaan jauh dan sistem informasi geografis. Metode penelitian berupa pembuatan peta curah hujan, pembuatan peta tutupan lahan dan pembuatan peta kelas lereng. Hasil penelitian menunjukan bahwa tingkat kerawanan banjir di kecamatan kupang timur kabupaten kupang dibagi dalam 3 kelas yaitu kelas tidak rawan dengn luas wilayah 8284,32 Ha dengan persentase yaitu 50.70 %, kelas rawan dengan luas wilayah 3368,61 Ha dengan presentase yaitu 20.62 % dan kelas sangat rawan dengan luas wilayah 4686,93 Ha dengan presentase yaitu 28.68 %. Kata kunci: Pemetaan, Penginderaan Jauh, Sistem Informasi Geografis (SIG) Abstract [Mapping of flood - prone areas in the district of east Kupang, Regency of Kupang East Nusa Tenggara Province using application of remote sensing and geographic information system] has been done. The research method such as making a rainfall map, a land cover Map, and making a slope class Map. The results of research showed that flood vulnerability level in east Kupang district became three vulnerability classes: Class with an area not prone to flooding 8284.32 Ha (50.70 %), class with an area rather prone to flooding 3368.61 Ha (20.62 %) and class with an area very prone to flooding 72.912,96 Ha (28.68 %) Keywords: Mapping, Remote Sensing, Geographic Information Systems (GIS)

scholarly journals A Survey of Remote Sensing and Geographic Information System Applications for Flash Floods

2021 ◽  
Vol 13 (9) ◽  
pp. 1818
Author(s):  
Lisha Ding ◽  
Lei Ma ◽  
Longguo Li ◽  
Chao Liu ◽  
Naiwen Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Flash Flood ◽  
Flash Floods ◽  
Geographic Information ◽  
Flood Disaster ◽  
Future Research ◽  
Time Zone ◽  
Gis Technologies

Flash floods are among the most dangerous natural disasters. As climate change and urbanization advance, an increasing number of people are at risk of flash floods. The application of remote sensing and geographic information system (GIS) technologies in the study of flash floods has increased significantly over the last 20 years. In this paper, more than 200 articles published in the last 20 years are summarized and analyzed. First, a visualization analysis of the literature is performed, including a keyword co-occurrence analysis, time zone chart analysis, keyword burst analysis, and literature co-citation analysis. Then, the application of remote sensing and GIS technologies to flash flood disasters is analyzed in terms of aspects such as flash flood forecasting, flash flood disaster impact assessments, flash flood susceptibility analyses, flash flood risk assessments, and the identification of flash flood disaster risk areas. Finally, the current research status is summarized, and the orientation of future research is also discussed.

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