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Erosion Failure of a Soil Slope by Heavy Rain: Laboratory Investigation and Modified GA Model of Soil Slope Failure.
Jing, Xiaofei; Chen, Yulong; Pan, Changshu; Yin, Tianwei; Wang, Wensong; Fan, Xiaohua.
Afiliación
  • Jing X; School of Safety Engineering, Chongqing University of Science and Technology, Chongqing 401331, China. xfjing@cqust.edu.cn.
  • Chen Y; School of Civil Engineering, University of Queensland, Brisbane QLD 4072, Australia. xfjing@cqust.edu.cn.
  • Pan C; Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China. chen_yl@tsinghua.edu.cn.
  • Yin T; Chongqing GaoXin engineering Survey and Design Institute Ltd., Co., Chongqing 401121, China. pcsqsl@163.com.
  • Wang W; School of Civil Engineering, University of Queensland, Brisbane QLD 4072, Australia. t.yin@uq.net.au.
  • Fan X; College of Resources and Environmental Sciences, Chongqing University, Chongqing 400030, China. sdgxwws@163.com.
Int J Environ Res Public Health ; 16(6)2019 03 26.
Article en En | MEDLINE | ID: mdl-30917516
ABSTRACT
Rainfall has been identified as one of the main causes for slope failures in areas where high annual rainfall is experienced. The slope angle is important for its stability during rainfall. This paper aimed to determine the impact of the angle of soil slope on the migration of wetting front in rainfall. The results proved that under the same rainfall condition, more runoff was generated with the increase of slope angle, which resulted in more serious erosion of the soil and the ascent of wetting front. A modified Green-Ampt (GA) model of wetting front was also proposed considering the seepage in the saturated zone and the slope angle. These findings will provide insights into the rainfall-induced failure of soil slopes in terms of angle.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Lluvia / Suelo / Modelos Teóricos Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Int J Environ Res Public Health Año: 2019 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Lluvia / Suelo / Modelos Teóricos Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Int J Environ Res Public Health Año: 2019 Tipo del documento: Article País de afiliación: China