STUDY ON ENVIRONMENTAL GEOLOGICAL PROBLEMS CAUSED BY SLOPE MANAGEMENT

Mingwei Guo; Chunguang Li; Shuilin Wang; Xiurun Ge; Hong Zheng

doi:10.30638/eemj.2013.240

STUDY ON ENVIRONMENTAL GEOLOGICAL PROBLEMS CAUSED BY SLOPE MANAGEMENT

Environmental Engineering and Management Journal ◽

10.30638/eemj.2013.240 ◽

2013 ◽

Vol 12 (10) ◽

pp. 1927-1931

Author(s):

Mingwei Guo ◽

Chunguang Li ◽

Shuilin Wang ◽

Xiurun Ge ◽

Hong Zheng

Keyword(s):

Slope Management

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MAPPING LANDSLIDE AND ROCK FALL HAZARDS IN YELLOWSTONE NATIONAL PARK USING THE UNSTABLE SLOPE MANAGEMENT PROGRAM’S SLOPE ASSESSMENT MOBILE APPLICATION

10.1130/abs/2018am-322674 ◽

2018 ◽

Author(s):

Courtney Hartman ◽

◽

Holly Hurding-Jones ◽

Richardson M. Pedigo ◽

Eliza Hurst ◽

...

Keyword(s):

Yellowstone National Park ◽

Mobile Application ◽

National Park ◽

Rock Fall ◽

Unstable Slope ◽

Slope Management

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GIS-based landslide hazard assessment: an overview

Progress in Physical Geography Earth and Environment ◽

10.1191/0309133305pp462ra ◽

2005 ◽

Vol 29 (4) ◽

pp. 548-567 ◽

Cited By ~ 113

Author(s):

Wang Huabin ◽

Liu Gangjun ◽

Xu Weiya ◽

Wang Gonghui

Keyword(s):

Hazard Assessment ◽

Landslide Hazard ◽

Integrated System ◽

Process Models ◽

Land Utilization ◽

Property A ◽

Landslide Hazard Assessment ◽

Landslide Hazards ◽

Digital Elevation ◽

Slope Management

In recent years, landslide hazard assessment has played an important role in developing land utilization regulations aimed at minimizing the loss of lives and damage to property. A variety of approaches has been used in landslide assessment and these can be classified into qualitative factor overlay, statistical models, geotechnical process models, etc. However, there is little work on the satisfactory integration of these models with geographic information systems (GIS) to support slope management and landslide hazard mitigation. This paper deals with several aspects of landslide hazard assessment by presenting a focused review of GIS-based landslide hazard assessment: it starts with a framework for GIS-based assessment of landslide hazard; continues with a critical review of the state of the art in using GIS and digital elevation models (DEM) for mapping and modelling landslide hazards; and concludes with a description of an integrated system for effective landslide hazard assessment and zonation incorporating artificial intelligence and data mining technology in a GIS-based framework of knowledge discovery.

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