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Regression analysis between environmental factors and earthquake-damaged trace: a case study in Wenchuan County, China
Luo, Yong1,2; Yu, Hui1,2; Zheng, Zhi-Jun3; She, Tao4
Corresponding AuthorHui Yu
2012
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
EISSN1366-5901
Volume33Issue:22Pages:7088-7098
SubtypeArticle
AbstractThis article discusses the integration of remote sensing (RS), geographic information system (GIS), GPS and ground survey technologies to establish the accuracy of supervised classification. N-e, the proportion of earthquake-damaged trace in a specific region, as a relative value expresses the influence of the characteristics of an area on the distribution of earthquake-damaged trace; it reflects the earthquake-damaged trace's distribution characteristics better. Four factors - distance to central fault, slope, elevation and distance to river - were selected to quantify the association between environmental factors and N-e by regression analysis. The results show the following. (1) The association between N-e and distance to river (R-2 = 0.99) and between N-e and distance to central fault (R-2 = 1.00) is better modelled by an inverse second-order line. N-e is largest within 0.5 km of the river and within 5 km of the central fault. When the distance is more than 2.0 km from the river and more than 30 km from the central fault, N-e dramatically decreases. (2) The association between N-e and elevation (R-2 = 0.94) is better modelled by the exponential decay line. With an increasing elevation, N-e decreases with the weakening of human activities. (3) The association between N-e and slope (R-2 = 0.93) is better modelled by exponential growth. With an increasing slope, N-e first decreases and then increases. (4) A possible mechanism is that the earthquake energy first acts on the area near the central fault. The erosion of the river leads to a steep slope; the unstable geologic structure is easily destroyed by the effect of seismic waves. Consequently, earthquake-damaged trace and N-e are greater in regions near the central fault and river bank than in other regions.
KeywordSatellite Gujarat
WOS HeadingsScience & Technology ; Technology
DOI10.1080/01431161.2012.700132
WOS Subject ExtendedRemote Sensing ; Imaging Science & Photographic Technology
Indexed BySCI
WOS KeywordSATELLITE ; GUJARAT
Language英语
Quartile3区
TOP
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000306116200008
Funding OrganizationNational Natural Science Foundation of China(41101552) ; Social Practice Project of Chinese Academy of Sciences(Y1R2080080) ; Sichuan Foundation of Excellent Young Scientists(2010JQ0026)
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/6296
Collection山区发展研究中心
山地表生过程与生态调控重点实验室
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China
3.Geol Environm Monitoring Stn, Chengdu 610041, Peoples R China
4.Chinese Acad Geol Sci, Inst Explorat Technol, Chengdu 610041, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Luo, Yong,Yu, Hui,Zheng, Zhi-Jun,et al. Regression analysis between environmental factors and earthquake-damaged trace: a case study in Wenchuan County, China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2012,33(22):7088-7098.
APA Luo, Yong,Yu, Hui,Zheng, Zhi-Jun,&She, Tao.(2012).Regression analysis between environmental factors and earthquake-damaged trace: a case study in Wenchuan County, China.INTERNATIONAL JOURNAL OF REMOTE SENSING,33(22),7088-7098.
MLA Luo, Yong,et al."Regression analysis between environmental factors and earthquake-damaged trace: a case study in Wenchuan County, China".INTERNATIONAL JOURNAL OF REMOTE SENSING 33.22(2012):7088-7098.
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