DocumentCode
529808
Title
Notice of Retraction
Flood inundation and disaster prediction based on DEM
Author
Wang Yun-fei ; Zhong Yong-song ; Cui Wei-hong ; Lv Peng
Author_Institution
IRAS, CAS, Beijing, China
Volume
1
fYear
2010
fDate
28-31 Aug. 2010
Firstpage
54
Lastpage
56
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Flood has two cases, namely “non-source flood” and “source flood”. For each case, flood inundation analysis method based on DEM is discussed. In the paper, Kaiyuan city of the Red River state in Yunnan Province is chosen as experimental area. This region has abundant rainfall, numerous rivers and frequent flood disasters. After calculate the flood area of this region, overlay analysis is used to predict villages threatened by the flood, which using flood area layer and village layer. Finally, Flood inundation map is displayed visually in ArcSence in three dimensions. The result shows that these flood inundation analysis methods are effective and scientifically to simulate flood inundation, which can be a precise reference of loss prediction and guide rescue work.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Flood has two cases, namely “non-source flood” and “source flood”. For each case, flood inundation analysis method based on DEM is discussed. In the paper, Kaiyuan city of the Red River state in Yunnan Province is chosen as experimental area. This region has abundant rainfall, numerous rivers and frequent flood disasters. After calculate the flood area of this region, overlay analysis is used to predict villages threatened by the flood, which using flood area layer and village layer. Finally, Flood inundation map is displayed visually in ArcSence in three dimensions. The result shows that these flood inundation analysis methods are effective and scientifically to simulate flood inundation, which can be a precise reference of loss prediction and guide rescue work.
Keywords
digital elevation models; disasters; floods; hydrological techniques; rain; rivers; ArcSence; China; DEM; Kaiyuan city; Red River state; Yunnan Province; disaster prediction; flood area layer; flood disasters; flood inundation analysis method; flood inundation map; nonsource flood; rainfall; seed filling algorithm; village layer; Algorithm design and analysis; Biological system modeling; Cities and towns; Filling; Floods; Geographic Information Systems; Rivers; DEM; Flood inundation; Seed filling algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-8514-7
Type
conf
DOI
10.1109/IITA-GRS.2010.5603218
Filename
5603218
Link To Document