Regression analysis between environmental factors and earthquake-damaged trace: a case study in Wenchuan County, China
文献类型：期刊论文
| 作者 | Luo, Yong1,2 ; Yu, Hui1,2; Zheng, Zhi-Jun3; She, Tao4
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| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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