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Impact and elastic modulus of coal mining on terrestrial ecosystems. [PDF]

Sci Rep
Dong J, Dai W, Xu J, Zhang H, Li Y, Xie F.   +5 more
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Development of a Thermal Infrared Network for Volcanic and Environmental Monitoring: Hardware Design and Data Analysis Software Code. [PDF]

Sensors (Basel)
Sansivero F, Vilardo G, Buonocunto C.
europepmc   +1 more source

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Experimental case study of seismically induced loess liquefaction and landslide

Engineering Geology, 2017
Abstract The 1920 Haiyuan Ms 8.5 earthquake induced a large number of fluidized loess landslides in China, characterized by low slope angles, long run-out distances, and fluidized movement. The mechanism of these landslides has aroused considerable interest, although additional research is needed to understand more fully the behavior of the loess and
Xiangjun Pei, Xiaochao Zhang, Bin Guo, Gonghui Wang, Fanyu Zhang   +4 more
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Characteristic and Stability Analysis for Loess Seismic Landslide in Valley City

Advanced Materials Research, 2012
In the light of heavy seismic landslide disasters in the valley city of loess area, 104 typical loess landslides caused by the 1654 Tianshui(Ms 8.0), 1718 Tongwei(Ms 7.5) and 1920 Haiyuan(Ms 8.5) earthquakes were studied, main landslide type and basic characteristics of seismic landslide in the valley city were analyzed.
Wang Nai, Lan Min Wang, Zhong Xia Yuan, Wang Qian   +3 more
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Study of shaking table test of seismic subsidence loess landslides induced by the coupling effect of earthquakes and rainfall

Natural Hazards, 2020
Light rain or moderate rain is the most common meteorological event in the rainy season in the loess area of China, so the probability of landslide hazards induced by the coupling effect of earthquakes and rainfall under the condition of light rain or moderate rain is relatively higher than that under heavy rain.
Xiaowu Pu, Lanmin Wang, Ping Wang, Shaofeng Chai   +3 more
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The influence of DEM resolution on seismic landslide hazard assessment based upon the Newmark displacement method: a case study in the loess area of Tianshui, China

Environmental Earth Sciences, 2017
The estimation uncertainties and spatial variability of input parameters are gaining more attention and have frequently been taken into account in seismic slope deformation predictions, but the influence of DEM resolution has rarely been investigated.
Tao Wang, Jiamei Liu, Jusong Shi, Shuren Wu   +3 more
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Numerical stability analysis of the Changjiahe landslide in high seismic intensity region of the Loess Plateau

Arabian Journal of Geosciences, 2022
Zhijian Wu, Bin Huang, Tingting Wei, Dawei Chen   +3 more
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Research on a classification model of loess seismic landslides based on random forest in the Haiyuan region

Bulletin of Engineering Geology and the Environment, 2023
Ranke Fang, Sen Zhang, Longsheng Deng, Wen Fan, Hao Wang   +4 more
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Mechanism for loess seismic landslides in Northwest China

2008
Lixia Yuan, Xing Cui, Ying Hu, Liyan Jiang   +3 more
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