GIS-based remote sensing analysis of the spatial-temporal evolution of landslides in a hydropower reservoir in southwest China

被引:9
作者
Gan, Bin-Rui [1 ]
Yang, Xing-Guo [2 ]
Zhou, Jia-Wen [1 ]
机构
[1] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu, Peoples R China
[2] Sichuan Univ, Coll Water Resource & Hydropower, Chengdu, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Geographic information system; landslides interpretation; deformation and failure mode; spatial-temporal evolution; high-resolution remote sensing; 3 GORGES RESERVOIR; FILLING-DRAWDOWN CYCLES; SUSCEPTIBILITY ASSESSMENT; DECISION TREE; ROCK SLOPE; MECHANISM; DEFORMATION; FAILURE; PATTERN; WATER;
D O I
10.1080/19475705.2019.1685599
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The evolution of reservoir landslides upstream of river buildings is a key issue because landslides continue to cause damage to the ecological environment, especially the safety of dams and the operation of reservoirs. Based on geographic information system (GIS), four high-resolution remote sensing images captured at a hydropower reservoir in southwest China during four different periods are used to interpret landslides. Landslide maps coupled with lithological setting, water level change history and some other factors are used to illustrate the spatial-temporal evolution of landslides in the upstream reservoir of river buildings. The results from this analysis indicate that the landslides are more likely to occur in Quaternary deposits, fractured rock masses and water softened rock masses, whose engineering properties are quite sensitive to water. Three main types of landslides are observed in the reservoir, include gully landslide, bank collapse and deep-seated landslide, among which bank collapse is the dominate type. Fluctuation of water level, together with the human activities and lithological setting, affect the deformation and failure process of the landslides. The deep-seated landslides in the reservoir were observed to experience a relative long period of large deformation until the occurrence of a disaster.
引用
收藏
页码:2291 / 2312
页数:22
相关论文
共 39 条
[1]   A pattern-based definition of urban context using remote sensing and GIS [J].
Benza, Magdalena ;
Weeks, John R. ;
Stow, Douglas A. ;
Lopez-Carr, David ;
Clarke, Keith C. .
REMOTE SENSING OF ENVIRONMENT, 2016, 183 :250-264
[2]   Displacement patterns of a landslide affected by human activities: insights from ground-based InSAR monitoring [J].
Bozzano, Francesca ;
Cipriani, Ivan ;
Mazzanti, Paolo ;
Prestininzi, Alberto .
NATURAL HAZARDS, 2011, 59 (03) :1377-1396
[3]  
[陈剑 Chen Jian], 2005, [工程地质学报, Journal of Engineering Geology], V13, P305
[4]   Time evolution and spatial accumulation of progressive failure for Xinhua slope in the Dagangshan reservoir, Southwest China [J].
Chen, Ming-liang ;
Lv, Peng-fei ;
Zhang, Shi-lin ;
Chen, Xing-ze ;
Zhou, Jia-wen .
LANDSLIDES, 2018, 15 (03) :565-580
[5]  
Chi CY, 2008, 2008 INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS, P11
[6]   Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree [J].
Dieu Tien Bui ;
Tran Anh Tuan ;
Klempe, Harald ;
Pradhan, Biswajeet ;
Revhaug, Inge .
LANDSLIDES, 2016, 13 (02) :361-378
[7]  
Ghirotti M, 2006, NATO SCI S SS IV EAR, V49, P395
[8]   LANDSLIDE HAZARD ZONING USING THE GIS APPROACH - A CASE-STUDY FROM THE RAMGANGA CATCHMENT, HIMALAYAS [J].
GUPTA, RP ;
JOSHI, BC .
ENGINEERING GEOLOGY, 1990, 28 (1-2) :119-131
[9]   The role of the lithological setting on the landslide pattern and distribution [J].
Henriques, Cristina ;
Zezere, Jose Luis ;
Marques, Fernando .
ENGINEERING GEOLOGY, 2015, 189 :17-31
[10]   Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) [J].
Hong, Haoyuan ;
Liu, Junzhi ;
Dieu Tien Bui ;
Pradhan, Biswajeet ;
Acharya, Tri Dev ;
Binh Thai Pham ;
Zhu, A-Xing ;
Chen, Wei ;
Bin Ahmad, Baharin .
CATENA, 2018, 163 :399-413