Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    1992, Vol. 4 Issue (4) : 41-46     DOI: 10.6046/gtzyyg.1992.04.07
Applied Research |
A STUDY OF SURFACE COLLAPSE BY REMOTE SENSING IN LIUJIANG BASIN, QIN HUANGDAO
Wang Xiqing, Liu Han
Changchun University of Earth Science
Download: PDF(3267 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

Liujiang basin is an important water source area of Qinhuangdao city. The surface collapse will happen at hidden karst areas, due to much exploiting of ground-water. The characteristics of hidden fault structure, distribution and water-bearing nature of Quaternary loose sediment, and distribution of surficial and hidden karst area are studied by means of multi-temporal and multispectral satellite images and aerial color photos and digital image processing technique, combining with comprehensive analysis of the data from ground truth investigation, geophysical prospecting and drilling. Accordillg to analysis of tile various geological factors which can cause surface collapse, the positions of dangerous areas of surface collapse caused by exploiting of grouod -water have been predicted.The reliable geological evidences also have been provided for preventing work.

Keywords        Landslide      Remote sensing survey      Landslide monitoring      Evaluation for landslide fatalness     
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
WANG Zhi-Hua
XIONG Zhang-Qiang
TANG Sheng-Song
ZHANG Da-Zhou
Cite this article:   
WANG Zhi-Hua,XIONG Zhang-Qiang,TANG Sheng-Song, et al. A STUDY OF SURFACE COLLAPSE BY REMOTE SENSING IN LIUJIANG BASIN, QIN HUANGDAO[J]. REMOTE SENSING FOR LAND & RESOURCES, 1992, 4(4): 41-46.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.1992.04.07     OR     https://www.gtzyyg.com/EN/Y1992/V4/I4/41


[1] 杨丙中等:石门寨地质及教学指导书,吉林大学出版社,1984年。

[2] 长春地质学院学报编辑委员会:长春地质学院学报秦皇岛地质专集,1987年.

[3] 刘显亭:覆盖岩溶矿床地表塌陷成因及其治理,水文地质工程地质,1985年第1期.

[1] LIU Zhizhong, SONG Yingxu, YE Runqing. An analysis of rainstorm-induced landslides in northeast Chongqing on August 31, 2014 based on interpretation of remote sensing images[J]. Remote Sensing for Natural Resources, 2021, 33(4): 192-199.
[2] CHEN Fuqiang, LIU Yalin, GAO Xu, SONG Minghui, ZHANG Zhanzhong. Application of remote sensing technology to the engineering geological survey for the construction of the China-Nepal railway[J]. Remote Sensing for Natural Resources, 2021, 33(4): 219-226.
[3] LING Xiao, LIU Jiamei, WANG Tao, ZHU Yueqin, YUAN Lingling, CHEN Yangyang. Application of information value model based on symmetrical factors classification method in landslide hazard assessment[J]. Remote Sensing for Land & Resources, 2021, 33(2): 172-181.
[4] HAO Guzhuang, GAN Fuping, YAN Baikun, LI Xianqing, HU Huidong. Remote sensing survey and driving force analysis of area change of Hongyashan Reservoir in the past twenty years[J]. Remote Sensing for Land & Resources, 2021, 33(2): 192-201.
[5] ZHANG Teng, XIE Shuai, HUANG Bo, FAN Jinghui, CHEN Jianping, TONG Liqiang. Detection of active landslides in central Maoxian County using Sentinel-1 and ALOS-2 data[J]. Remote Sensing for Land & Resources, 2021, 33(2): 213-219.
[6] CHEN Jie, CAI Jun, LI Jing, HE Peng. Oblique aerial photography technology and its application to geological survey:A case study of Wuxia section in the Three Gorges reservoir[J]. Remote Sensing for Land & Resources, 2021, 33(1): 167-173.
[7] Weijie JIA, Zhihua WANG. Landslide activity characteristics and stability analysis based on high-resolution remote sensing image: A case study of Dongmiaojia landslide[J]. Remote Sensing for Land & Resources, 2019, 31(4): 174-181.
[8] Zhenlin WANG, Mingsheng LIAO, Lu ZHANG, Heng LUO, Jie DONG. Detecting and characterizing deformations of the left bank slope near the Jinping hydropower station with time series Sentinel-1 data[J]. Remote Sensing for Land & Resources, 2019, 31(2): 204-209.
[9] Lei DU, Jie CHEN, Minmin LI, Xiongwei ZHENG, Jing LI, Zihong GAO. The application of airborne LiDAR technology to landslide survey: A case study of Zhangjiawan Village landslides in Three Gorges Reservoir area[J]. Remote Sensing for Land & Resources, 2019, 31(1): 180-186.
[10] Yuling ZHAO. Remote sensing survey and proposal for protection of the natural resources in Guangdong-Hong Kong-Macao Greater Bay Area[J]. Remote Sensing for Land & Resources, 2018, 30(4): 139-147.
[11] ZHANG Ce, JIE Wenhui, FU Lihua, WEI Benzan. Remote sensing image and distribution characteristics of landslide disasters in Xinyuan County, Xinjiang[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 81-84.
[12] ZHAO Yuling. Remote sensing survey and proposal for protection of the shoreline and the mangrove wetland in Guangdong Province[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 114-120.
[13] XIAO Chunlei, GUO Zhaocheng, ZHENG Xiongwei, LIU Shengwei, SHANG Boxuan. Typical applications of airborne LiDAR technique in geological investigation[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 136-143.
[14] XIE Mowen, HU Man, DU Yan, XU Bo. Application of TLS technique to landslide monitoring:Summarization and prospect[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 8-15.
[15] GUO Zhaocheng, TONG Liqiang, ZHENG Xiongwei, QI Jianwei, WANG Jianchao. Remote sensing survey of secondary geological disasters triggered by Lushan earthquake in Sichuan Province and tentative discussion on disaster characteristics[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 99-105.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech