Qingyuan county “8.16” storm flood disaster investigation and analysis

2014 ◽  
Author(s):  
Q. Li ◽  
B.S. He ◽  
Q.R. Chang ◽  
Y. Tu ◽  
L.J. Du
Keyword(s):  
Flood Disaster

AN INVESTIGATION OF FLOOD DISASTER OF THE AKIYAMA RIVER CAUSED BY REIWA FIRST YEAR EAST JAPAN TYPHOON

2020 ◽  
Vol 76 (1) ◽  
pp. 223-232
Author(s):  
Kensaku MATSUMOTO ◽  
Shoichi TAKADA ◽  
Kyoya NAKAJIMA ◽  
Kazuya TSUJI ◽  
Hironobu FUJISAKA
Keyword(s):  
Flood Disaster ◽  
First Year

The Great Tide: The Story of the 1953 Flood Disaster in Essex.Hilda Grieve

1960 ◽  
Vol 65 (5) ◽  
pp. 535-536
Author(s):  
Irwin Deutscher
Keyword(s):  
Flood Disaster

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.

Number of flood disaster estimation in Indonesia using local linear and geographically weighted regression approach

2021 ◽  
Author(s):  
M. Fariz Fadillah Mardianto ◽  
Sediono ◽  
Novia Anggita Aprilianti ◽  
Belindha Ayu Ardhani ◽  
Rizka Firdaus Rahmadina ◽  
...  
Keyword(s):  
Geographically Weighted Regression ◽  
Flood Disaster ◽  
Weighted Regression ◽  
Local Linear ◽  
Regression Approach
Sign in / Sign up

Export Citation Format

Share Document