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A New Approach for Identification of Potential Rockfall Source Areas Controlled by Rock Mass Strength at a Regional Scale
被引:15
|作者:
Wang, Xueliang
[1
,2
,3
]
Liu, Haiyang
[1
,2
,3
]
Sun, Juanjuan
[1
,2
,3
]
机构:
[1] Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
[2] Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
关键词:
rockfall source areas;
identification;
relief;
slope angle;
rock mass strength;
rockfall susceptibility;
LANDSLIDE SUSCEPTIBILITY;
HAZARD;
INCISION;
SYSTEM;
UPLIFT;
LAND;
FALL;
D O I:
10.3390/rs13050938
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
The identification of rockfall source areas is a fundamental work for rockfall disaster prevention and mitigation. Based on the Culmann model, a pair of important indicators to estimate the state of slope stability is the relief and slope angles. Considering the limit of field survey and the increasing requirements for identification over a large area, a new approach using the relief-slope angle relationship to identify rockfall source areas controlled by rock mass strength at a regional scale is proposed in this paper. Using data from helicopter-based remote sensing imagery, a digital elevation model of 10 m resolution, and field work, historical rockfalls in the Wolong study area of Tibet where frequent rockfalls occur are identified. A clear inverse relationship between the relief and slope angles of historical rockfalls enables us to calculate the rock mass strength of the landscape scale by the Culmann model and the relief-slope angle relationship curve. Other parameters used in our proposed approach are calculated by ArcGIS and statistic tools. By applying our approach, the potential rockfall source areas in the study are identified and further zoned into three susceptibility classes that could be used as a reference for a regional rockfall susceptibility study. Using the space partition of historical rockfall inventory, our prediction result is validated. Most of the rockfall source areas (i.e., 71.92%) identified in the validation area are occupied by historical rockfalls, which proves the good prediction of our approach. The dominant uncertainty in this paper is derived from the process of calculating rock mass strength, defining the specific area for searching potential rockfall source areas, and the resolution of the digital elevation model.
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页码:1 / 13
页数:13
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