DocumentCode :
576202
Title :
Geohazards observations and natural disaster assessment in China
Author :
Zhi Wang ; Baishan Xu ; Lixin Wu ; Yonglin Shen ; Zhifeng Li ; Huiying Li
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
950
Lastpage :
953
Abstract :
The Chinese geohazards observations and natural disaster assessment system is established so as to make information related to environmental risk and vulnerability easily accessible to decision-makers through this centralized platform. In the case of MS 7.1 Yushu earthquake disaster, for emergence response, we presented a method for generating seismic intensity map based on seismological mechanism solutions. The disaster assessment system automatically drew the distribution map. Referring to usable data, the chains of rapid assessment on earthquake disaster are analyzed, and different models are established for assessing affected population, damaged houses and lifelines and comprehensive earthquake loss evaluation. We also established an assessment model of mud-rock flow disaster in the disaster assessment system. Take the Gansu Province, Zhouqu County 8.8 extra-large-scale mud-rock flow as example, we present the comprehensive evaluation results by using the aerial images and damaged building evaluation models.
Keywords :
disasters; earthquakes; hazardous areas; sediments; seismology; China; Chinese geohazards observations; Gansu Province; MS 7.1 Yushu earthquake disaster; Zhouqu County; aerial images; damaged building evaluation models; decision-makers; earthquake loss evaluation; emergence response; environmental risk; mud-rock flow disaster; natural disaster assessment system; seismic intensity map; seismological mechanism solutions; vulnerability; Buildings; Cities and towns; Earthquakes; Educational institutions; Remote sensing; Sociology; Statistics; Comprehensive Evaluation; Earthquake; Geohazards Observations; Mud-rock Flow; Natural Disaster assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351394
Filename :
6351394
Link To Document :
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