DocumentCode :
3317815
Title :
Land subsidence analysis and inundation prediction based on multi-temporal digital elevation model data
Author :
Hsu, Pai-Hui ; Su, Wen-Ray ; Tsai, Chung-Hung
Author_Institution :
Dept. of Civil Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
3339
Lastpage :
3342
Abstract :
Because large amount of ground water have been excessively withdrawn within the lowlands along the southwestern area in Taiwan, the land subsidence becomes a serious problem that property damages and life losses in the subsidence area will be caused by the poor drainage and serious flooding arise during the periods of typhoon and heavy rainfall. Therefore, how to monitor and analyze the land subsidence effectively will be an important study issue. In this study, many kinds of geospatial information are firstly collected and analyzed for subsidence monitoring. The error adjustment of the multi-temporal Digital Elevation Models (DEMs) data is implemented using the Least Squares Collocation (LSC) method proposed in our previous research works. Then the HEC-RAS and FLO-2D models are used to simulate the flood hazards to test the performance of the LSC adjustment method. The results are also used to analyze the influence of the land subsidence for flood hazards.
Keywords :
digital elevation models; floods; geomorphology; hydrological techniques; least squares approximations; FLO-2D model; HEC-RAS model; Taiwan; digital elevation model; flood hazard simulation; flooding; geospatial information; inundation prediction; land subsidence analysis; least squares collocation; multitemporal DEM data; multitemporal DEM error adjustment; Equations; Floods; Mathematical model; Monitoring; Predictive models; Rivers; Digital Elevation Models; Flood Simulation; Land Subsidence; Least Squares Collocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5650544
Filename :
5650544
Link To Document :
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