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Statistical landslide susceptibility assessment in a dynamic environment:A case study for Lanzhou City,Gansu Province,NW China

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Journal of Mountain Science 2018年第6期15卷 1299-1318页

作者： torizin jewgenij WANG Li-chao FUCHS Michael TONG Bin BALZER Dirk WAN Li-qin KUHN Dirk LI Ang CHEN Liang Federal Institute for Geosciences and Natural Resources （BGR） Hannover 30655 Germany China Institute of Geo-environment Monitoring （CIGEM） Beijing 100081 China

This study presents a statistical landslide susceptibility assessment(LSA) in a dynamic environment. The study area is located in the eastern part of Lanzhou, NW China. The Lanzhou area has exhibited rapid urbanization rates over the past decade associated with greening, continuous land use change, and geomorphic reshaping activities. To consider the dynamics of the environment in the LSA, multitemporal data for landslide inventories and the corresponding causal factors were collected. The weights of evidence(Wof E) method was used to perform the LSA. Three time stamps, i.e., 2000, 2012, and 2016, were selected to assess the state of landslide susceptibility over time. The results show a clear evolution of the landslide susceptibility patterns that was mainly governed by anthropogenic activities directed toward generating safer building grounds for civil infrastructure. The low and very low susceptibility areas increased by approximately 10% between 2000 and 2016. At the same time, areas of medium, high and very high susceptibility zones decreased proportionally. Based on the results, an approach to design the statistical LSA under dynamic conditions is proposed, the issues and limitations of this approach are also discussed. The study shows that under dynamic conditions, the requirements for data quantity and quality increase significantly. A dynamic environment requires greater effort to estimate the causal relations between the landslides and controlling factors as well as for model validation.

关键词： Landslide susceptibility assessment Dynamic environment Weights of evidence method Validation Urbanization Lanzhou City

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Identification and temporally-spatial quantification of geomorphic relevant changes by construction projects in loess landscapes:case study Lanzhou City,NW China

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Big Earth Data 2019年第4期3卷 395-410页

作者： Michael Fuchs jewgenij torizin Lichao Wang Bin Tong Dirk Balzer Liang Chen Dirk Kuhn Ang Li Liqin Wan Federal Institute for Geosciences and Natural Resources(BGR) HannoverGermany China Institute of Geo-environment Monitoring BeijingP.R.China

Sustainable development of urban areas demands,among others,a holistic approach for identification and monitoring of environmental changes caused by human *** this study,the human-made impact on the geo-environment is studied through the application of the change detection study based on Principal Component Analysis on Landsat imageries and comparison of the digital elevation models taken at different *** analysis is set up to identify and quantify the anthropogenic geomorphological changes in the loess landscape in Lanzhou city,Northwest *** 2002 Lanzhou has been undergoing a rapid economic development associated with construction *** to limited flat building ground in the narrowed Yellow River Valley and subsequent expansion into the surrounding loess mountains,massive earthworks are conducted for reclamation of the suitable building *** results of the change detection analysis show that approximately 10%of the semi-natural study area corresponding to 35 km2 has been reshaped by leveling and terracing since *** particular,the geomorphology was significantly changed in these and adjacent *** the single developing area Taipingyang,a moving volume of up to 57 million m3 was roughly estimated.

关键词： Change detection principal component analysis Chinese loess plateau economic development zone

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