Shallow Landslide Spatial Early Warning Model Induced by Heavy Rainfall in South China Area

DOI

10.2991/rac-18.2018.34How to use a DOI?

Keywords

SINMAP,South China,Heavy Rainfall,Shallow Landslide,Early Warning

Abstract

Controlled by the characteristics of regional geological environment, the mechanism of slope runoff and hydrological processes under severe rainfall conditions in South China is fundamentally different from other regions. Therefore, the formation mechanism of shallow landslides induced by heavy precipitation has unique regional characteristics. In this study, by analyzing the response mechanism of slopes in South China to heavy rainfall, the slope unit was selected as the basic unit for early warning, and the concept of slope physical mechanism model (SINMAP) was used for reference and expansion. Through the introduction of heavy rainfall impact coefficients and coupled hydrological models and landslide stability analysis models, Shallow landslide warning model suitable for the geological environment in South China was established. Taking Song gang River as a case, an early warning process calculation was carried out. The results show that the model calculation process is suitable for the small watershed area and the calculation results of the model are ideal. Construct a landslide space early warning model and explore the critical rainfall threshold for inducing landslides to provide a scientific basis for warning and prevention of landslide hazards.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qinghua Gong
AU  - Jun Wang
AU  - Shaoxiong Yuan
AU  - Jun Chen
PY  - 2018/10
DA  - 2018/10
TI  - Shallow Landslide Spatial Early Warning Model Induced by Heavy Rainfall in South China Area
BT  - Proceedings of the 8th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2018)
PB  - Atlantis Press
SP  - 218
EP  - 223
SN  - 2352-5428
UR  - https://doi.org/10.2991/rac-18.2018.34
DO  - 10.2991/rac-18.2018.34
ID  - Gong2018/10
ER  -