Adapting Rainfall Variability to Flood Risk: A Case Study of the Ghaggar River Basin

2021 ◽  
Vol 97 (11) ◽  
pp. 1347-1354
Author(s):  
Sanjoy Gorai ◽  
Dwarikanath Ratha ◽  
Amit Dhir
Keyword(s):  
River Basin ◽  
Flood Risk ◽  
Rainfall Variability

scholarly journals Flood risk index pattern assessment: case study in Langat River Basin

2018 ◽  
Vol 9 (2S) ◽  
pp. 12 ◽  
Author(s):  
A.S.M. Saudi ◽  
M.K.A. Kamarudin ◽  
I.S.D. Ridzuan ◽  
R Ishak ◽  
A Azid ◽  
...  
Keyword(s):  
River Basin ◽  
Flood Risk ◽  
Risk Index ◽  
Langat River

scholarly journals Flood Risk Index for Land-Use Changes: Case Study of Pakpanang River Basin

2020 ◽  
Vol 24 (5) ◽  
pp. 25-40
Author(s):  
Chonlatid Kittikhun ◽  
Sitang Pilailar ◽  
Suwatana Chittaladakorn ◽  
Eakawat Jhonpadit
Keyword(s):  
Land Use ◽  
River Basin ◽  
Land Use Planning ◽  
Flood Risk ◽  
Urban Areas ◽  
Risk Index ◽  
Land Use Changes ◽  
Flood Depth ◽  
Arc Gis

Flood Risk Index (FRI) is the multi-criteria linked with the factors of vulnerability; exposure, susceptibility, and resilience. In order to establish local FRI, crucial local information have to be accumulated. However, under the limitation of land-use data, particular techniques were applied in this study. CA Markov model was used to analyze the past missing land-use data and, also forecast the future land-use of Pakpanang river basin under conditions of plan and without plan. The ratio changes of forest, agriculture, wetland and water, and urban areas were considered. Then, the result of LULC spatial-temporal changes was then applied to Hec-HMS and Hec-Ras , with Arc GIS extension of Hec-GeoHMS and Hec-GeoRas software, in order to evaluate the flood hydrographs and flood severity in three municipalities corresponding to 100-year return period rainfall. Afterward, the FRI of Pakpanang, Chianyai, and Hua-sai, which ranges from 0 to 1, were evaluated by using the modified FRI equations. It was found that sensitivity analysis in the area of forest on flood depth and inundation areas is incoherent. Nevertheless, without land-use planning, the changes in these three cities cause higher flood risk, where Chianyai is the riskiest as the FRIE is 0.58. Further consideration of FRIE and FRIP proportion that reveals the FRI deviation indicates that to reduce flood risk, Chianyai would need the most resources and highest effort comparison to Pakpanang and Hua-sai.

Integrated flood risk assessment and zonation method: a case study in Huaihe River basin, China

2015 ◽  
Vol 78 (1) ◽  
pp. 635-651 ◽  
Author(s):  
Yenan Wu ◽  
Ping-an Zhong ◽  
Yu Zhang ◽  
Bin Xu ◽  
Biao Ma ◽  
...  
Keyword(s):  
Risk Assessment ◽  
River Basin ◽  
Flood Risk ◽  
Flood Risk Assessment ◽  
Huaihe River Basin ◽  
Huaihe River
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