PREDICTING FLOOD INUNDATION AREA BY RAINFALL-RUNOFF-INUNDATION MODEL EMULATOR

2020 ◽  
Vol 76 (2) ◽  
pp. I_547-I_552
Author(s):  
Taisei SEKIMOTO ◽  
Satoshi WATANABE ◽  
Shunji KOTSUKI ◽  
Masafumi YAMADA ◽  
Shiori ABE ◽  
...  
Keyword(s):  
Flood Inundation ◽  
Rainfall Runoff ◽  
Inundation Area ◽  
Inundation Model

scholarly journals DEVELOPMENT OF A STANDARDIZED DISTRIBUTED RAINFALL-RUNOFF AND FLOOD INUNDATION MODEL APPLICABLE TO PROPERTY INSURANCE

2012 ◽  
Vol 68 (4) ◽  
pp. I_1069-I_1074 ◽  
Author(s):  
Kenichiro KOBAYASHI ◽  
Kaoru TAKARA ◽  
Hajime SANO ◽  
Hiromichi TSUMORI ◽  
Katsuyoshi SEKII
Keyword(s):  
Flood Inundation ◽  
Rainfall Runoff ◽  
Property Insurance ◽  
Inundation Model

Development of flood inundation area GIS database for Samsung-1 drainage sector, Seoul, Korea

2016 ◽  
Vol 49 (12) ◽  
pp. 981-993 ◽  
Author(s):  
Minkwan Oh ◽  
Dongryul Lee ◽  
Hyunhan Kwon ◽  
Dongkyun Kim
Keyword(s):  
Flood Inundation ◽  
Inundation Area ◽  
Gis Database

scholarly journals Flood Inundation Assessment in the Low-Lying River Basin Considering Extreme Rainfall Impacts and Topographic Vulnerability

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 896
Author(s):  
Thanh Thu Nguyen ◽  
Makoto Nakatsugawa ◽  
Tomohito J. Yamada ◽  
Tsuyoshi Hoshino
Keyword(s):  
River Basin ◽  
Extreme Rainfall ◽  
Flood Damage ◽  
Water Levels ◽  
Flood Inundation ◽  
Inundation Area ◽  
Inundation Depth ◽  
Study Results ◽  
Inundation Duration ◽  
Short Time

This study aims to evaluate the change in flood inundation in the Chitose River basin (CRB), a tributary of the Ishikari River, considering the extreme rainfall impacts and topographic vulnerability. The changing impacts were assessed using a large-ensemble rainfall dataset with a high resolution of 5 km (d4PDF) as input data for the rainfall–runoff–inundation (RRI) model. Additionally, the prediction of time differences between the peak discharge in the Chitose River and peak water levels at the confluence point intersecting the Ishikari River were improved compared to the previous study. Results indicate that due to climatic changes, extreme river floods are expected to increase by 21–24% in the Ishikari River basin (IRB), while flood inundation is expected to be severe and higher in the CRB, with increases of 24.5, 46.5, and 13.8% for the inundation area, inundation volume, and peak inundation depth, respectively. Flood inundation is likely to occur in the CRB downstream area with a frequency of 90–100%. Additionally, the inundation duration is expected to increase by 5–10 h here. Moreover, the short time difference (0–10 h) is predicted to increase significantly in the CRB. This study provides useful information for policymakers to mitigate flood damage in vulnerable areas.

Benchmarking of a 2D flood inundation model implemented in a GPU environment

2012 ◽  
Author(s):  
Sergiy Vorogushyn ◽  
Dung Nguyen ◽  
Daniela Falter ◽  
Heiko Apel
Keyword(s):  
Flood Inundation ◽  
Inundation Model
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