Epidemic risk analysis after the Wenchuan Earthquake using remote sensing

被引：24

作者：

Cao, Chunxiang ^{[1
]}

Chang, Chaoyi ^{[1
,2
]}

Xu, Min ^{[1
,2
]}

Zhao, Jian ^{[1
,2
]}

Gao, Mengxu ^{[1
,2
]}

Zhang, Hao ^{[1
]}

Guo, Jianping ^{[3
]}

Guo, Jianghong ^{[1
,2
]}

Dong, Lei ^{[1
,2
]}

He, Qisheng ^{[1
,2
]}

Bai, Linyan ^{[1
,2
]}

Bao, Yunfei ^{[1
,2
]}

Chen, Wei ^{[1
,2
]}

Zheng, Sheng ^{[1
,2
]}

Tian, Yifei ^{[1
,2
]}

Li, Wenxiu ^{[4
]}

Li, Xiaowen ^{[1
]}

机构：

[1] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Jointly Sponsored Inst Remote Sensing Applicat, Beijing 100101, Peoples R China

[2] Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China

[3] Chinese Acad Meteorol Sci, China Meteorol Adm, Ctr Atmosphere Watch & Serv, Beijing 100081, Peoples R China

[4] Ziyuyuan Environ Protect Ltd Co Sci & Technol, Beijing 102200, Peoples R China

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2010年 / 31卷 / 13期

关键词：

D O I：

10.1080/01431161003727713

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

On 12 May 2008, Wenchuan Earthquake, magnitude 8.0, destroyed thousands of buildings, and resulted in thousands of people being buried in the collapsed buildings. In order to investigate the potential epidemic disease risk after earthquake, a Backward Propagation Neural Network (BPNN) was constructed to assess the potential epidemic risks by applying remote sensing technology to obtain Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) values, as well as by using a geographic information system (GIS) to gain ambient epidemic-related spatial factors over the earthquake region. In this study, a relationship was established between the change in environmental factors after earthquake and potential epidemic risks, which was found to be statistically significant. The result might be explained for three change perspectives, namely environmental risks, medical risks and psychological risks. The corresponding strategies for preparedness in case of epidemic disease were given.

引用

页码：3631 / 3642

页数：12

共 14 条

[1] Prediction of SARS epidemic by BP neural networks with online prediction strategy [J].