Regression analysis between environmental factors and earthquake-damaged trace: a case study in Wenchuan County, China

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 山区发展研究中心

	Regression analysis between environmental factors and earthquake-damaged trace: a case study in Wenchuan County, China
	Luo, Yong1,2 ; Yu, Hui1,2 ; Zheng, Zhi-Jun 3; She, Tao 4
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2012
卷号	33 期号:22 页码:7088-7098
关键词	SATELLITE GUJARAT
ISSN号	0143-1161
通讯作者	Hui Yu
合作状况	国内
英文摘要	This 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.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Remote Sensing ; Imaging Science & Photographic Technology
研究领域[WOS]	Remote Sensing ; Imaging Science & Photographic Technology
关键词[WOS]	SATELLITE ; GUJARAT
收录类别	SCI
语种	英语
WOS记录号	WOS:000306116200008
公开日期	2013-09-13
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/6296]
专题	成都山地灾害与环境研究所_山区发展研究中心成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室
作者单位	1.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
推荐引用方式 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.