Technical Papers
Oct 20, 2011

Warning Method and System in Risk Management for Loess Engineering Slopes

Publication: Journal of Performance of Constructed Facilities
Volume 26, Issue 2

Abstract

Loess is a special kind of soil mass found all over the world. Loess mountain areas are highly vulnerable to landslides; hence, the monitoring and generation of warnings regarding a loess landslide is an important element in the risk management of side slopes in these areas. A typical line engineering area of a loess plateau in west China was used as a case study. With field investigation and data analysis, the risk indicators of the loess landslide were studied. Fuzzy synthetic evaluation of risk was conducted on the basis of geological engineering. The distribution of landslides and the geographical regional division method for determining landslide risk were also studied. On the basis of risk geographic region division, the authors completed a geology-meteorology coupling analytical model aimed at inducing the rainfall agent. The results of this model can be used in risk warning for landslides in loess slide slopes.

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Acknowledgments

This work was supported by the Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education of China (NO. 708010) and National Natural Science Foundation of China (NO. 41072256).

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 26Issue 2April 2012
Pages: 190 - 196

History

Received: Sep 27, 2010
Accepted: Oct 17, 2011
Published online: Oct 20, 2011
Published in print: Apr 1, 2012

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Authors

Affiliations

Mingzhou Bai [email protected]
Professor, Dept. of Civil Engineering, Beijing Jiaotong Univ., Beijing, China 100044 (corresponding author). E-mail: [email protected]
Ph.D., Dept. of Civil Engineering, Beijing Jiaotong Univ., Beijing, China 100044. E-mail: [email protected]
Ph.D., Dept. of Civil Engineering, Beijing Jiaotong Univ., Beijing, China 100044. E-mail: [email protected]
Guoping Cheng [email protected]
Graduate Student, Dept. of Civil Engineering, Beijing Jiaotong Univ., Beijing, China 100044. E-mail: [email protected]

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