Study of disaster characteristics and emergency rescue engineering for June 5, 2009 Jiweishan rockslide in Wulong of Chongqing using remote sensing technology

doi:10.6046/gtzyyg.2014.01.20

Abstract
References
Related Articles
Metrics

Download: PDF(1359 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Rockslide is one of the main geological disasters in China.Each rockslide disaster has different characteristics,so its emergency and rescue plans are not identical. The digital elevation model before and after rockslide and the aerial image with 0.35 m resolution were used as the data source. The digital landslide technologies were also adopted to quantitatively interpret such information of the Jiweishan rockslide as scale,topographical change,direction of movement,disaster features and affected limits. The Jiweishan rockslide is a typical multiple huge disaster that experienced a chain reaction consisting of "creep sliding along week layer-burnish surrounding rock-fragment flow-barrier lake". According to the disaster characteristics,the best location of engineering work for buried miners underground was explored by combining the collected layout of the Gonghe iron ore deposit with the results of the remote sensing interpretation for the Jiweishan rockslide. The results obtained by the authors could provide valuable references for the study of rockslide disaster characteristics and emergency rescue engineering using remote sensing technology in the future.

Keywords single image GIS geo-spatial mapping

TP79

Issue Date: 08 January 2014

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	ZHANG Xingguo
	LIU Xuejun

Cite this article:

ZHANG Xingguo,LIU Xuejun. Study of disaster characteristics and emergency rescue engineering for June 5, 2009 Jiweishan rockslide in Wulong of Chongqing using remote sensing technology[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 115-121.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.01.20 OR https://www.gtzyyg.com/EN/Y2014/V26/I1/115

[1] 四川省地质矿产局.四川省区域地质志[M].北京:地质出版社, 1991. Sichuan Province Geology Mineral Bureau.Regional geology of Sichuan[M].Beijing:Geological Publishing House, 1991.

[2] 许强, 黄润秋, 殷跃平, 等.2009年6·5重庆武隆鸡尾山崩滑灾害基本特征与成因机制初步研究[J].工程地质学报, 2009, 17(4):433-444. Xu Q, Huang R Q, Yin Y P, et al.The Jiweishan landslide of June 5, 2009 in Wulong, Chongqing:Characteristics and failure mechanism[J].Journal of Engineering Geology, 2009, 17(4):433-444.

[3] 殷跃平.斜倾厚层山体滑坡视向滑动机制研究——以重庆武隆鸡尾山滑坡为例[J].岩石力学与工程学报, 2010, 29(2):217-226. Yin Y P.Mechanism of apparent dip slide of inclined bedding rockslide:A case study of Jiweishan rockslide in Wulong, Chongqing[J].Chinese Journal of Rock Mechanics and Engineering, 2010, 29(2):217-226.

[4] 刘传正.重庆武隆鸡尾山危岩体形成与崩塌成因分析[J].工程地质学报, 2010, 18(3):297-304. Liu C Z.Mechanism analysis on the Jiweishan rockfall disaster happened in Wulong, Chongqing, June 5, 2009[J].Journal of Engineering Geology, 2010, 18(3):297-304.

[5] 邓茂林, 许强, 蔡国军, 等.重庆武隆鸡尾山岩质滑坡软弱带微观特征[J].工程勘察, 2012(4):5-9. Deng M L, Xu Q, Cai G J, et al.Micro-characteristics of weak-soft zone of Jiweishan rockslide in Wulong County, Chongqing, June 5, 2009[J].Geotechnical Investigation and Surveying, 2012(4):5-9.

[6] 冯振, 殷跃平, 李滨, 等.重庆武隆鸡尾山滑坡视向滑动机制分析[J].岩土力学, 2012, 33(9):2704-2712. Feng Z, Yin Y P, Li B, et al.Mechanism analysis of apparent dip landslide of Jiweishan in Wulong, Chongqing[J].Rock and Soil Mechanics, 2012, 33(9):2704-2712.

[1]	LI Dong, TANG Cheng, ZOU Tao, HOU Xiyong. Detection and assessment of the physical state of offshore artificial reefs[J]. Remote Sensing for Natural Resources, 2022, 34(1): 27-33.
[2]	ZANG Liri, YANG Shuwen, SHEN Shunfa, XUE Qing, QIN Xiaowei. A registration algorithm of images with special textures coupling a watershed with mathematical morphology[J]. Remote Sensing for Natural Resources, 2022, 34(1): 76-84.
[3]	SONG Renbo, ZHU Yuxin, GUO Renjie, ZHAO Pengfei, ZHAO Kexin, ZHU Jie, CHEN Ying. A method for 3D modeling of urban buildings based on multi-source data integration[J]. Remote Sensing for Natural Resources, 2022, 34(1): 93-105.
[4]	WU Yijie, KONG Xuesong. Simulation and development mode suggestions of the spatial pattern of “ecology-agriculture-construction” land in Jiangsu Province[J]. Remote Sensing for Natural Resources, 2022, 34(1): 238-248.
[5]	WANG Shuang, ZHANG Lei, ZHANG Junyong, WANG Yile. Characteristics of GIS applications in national fitness[J]. Remote Sensing for Natural Resources, 2021, 33(4): 265-271.
[6]	ZHAO Longxian, DAI Jingjing, ZHAO Yuanyi, JIANG Qi, LIU Tingyue, FU Minghai. A study of mine site selection of the Duolong ore concentration area in Tibet based on RS and GIS technology[J]. Remote Sensing for Land & Resources, 2021, 33(2): 182-191.
[7]	MIAO Miao, XIE Xiaoping. Spatial-temporal evolution analysis of Rizhao coastal zone during 1988—2018 based on GIS and RS[J]. Remote Sensing for Land & Resources, 2021, 33(2): 237-247.
[8]	ZHANG Mengsheng, YANG Shuwen, JIA Xin, ZANG Liri. An automatic registration algorithm for remote sensing images based on grid index[J]. Remote Sensing for Land & Resources, 2021, 33(1): 123-128.
[9]	YAO Kun, ZHANG Cunjie, HE Lei, LI Yuxia, LI Xiaoju. Dynamic evaluation and prediction of ecological environment vulnerability in the middle-upper reaches of the Yalong River[J]. Remote Sensing for Land & Resources, 2020, 32(4): 199-208.
[10]	Yongquan WANG, Qingquan LI, Chisheng WANG, Jiasong ZHU, Xinyu WANG. Tethered UAVs-based applications in emergency surveying and mapping[J]. Remote Sensing for Land & Resources, 2020, 32(1): 1-6.
[11]	Renbo SONG, Yuxin ZHU, Shangshan DING, Qiaoning HE, Xiyuan WANG, Yuexiang WANG. An automatic method for extracting skeleton lines from arbitrary polygons based on GIS spatial analysis[J]. Remote Sensing for Land & Resources, 2020, 32(1): 51-59.
[12]	Yiqiang SHI, Qiuqin DENG, Jun WU, Jian WANG. Regression analysis of MODIS aerosol optical thickness and air quality index in Xiamen City[J]. Remote Sensing for Land & Resources, 2020, 32(1): 106-114.
[13]	Xuanchi CHEN, Rong CHEN, Yufeng WU, Yueyue WANG. Research on the geological background of tea planting in Duyun City based on RS and GIS[J]. Remote Sensing for Land & Resources, 2020, 32(1): 224-231.
[14]	Zhaorong MEI, Yunju LI, Xiang KANG, Shanbao WEI, Jianjun PAN. Temporal and spatial evolution in landscape pattern of mining site area based on moving window method[J]. Remote Sensing for Land & Resources, 2019, 31(4): 60-68.
[15]	Quan AN, Zhonghua HE, Cuiwei ZHAO, Hong LIANG, Shulin JIAO, Chaohui YANG. GIS-based estimation of fractal dimension and geomorphological development of the water system in the dam construction area[J]. Remote Sensing for Land & Resources, 2019, 31(4): 104-111.

Viewed

Full text

Abstract

Cited

Shared

Discussed