Prediction Model of Regional Debris Flow in Jixian County, Tianjin

LI Da-ming, YAO Zhi-fan, LIU Xun-ping, CHEN Shuo,    ZHANG Hong-qiang,BU Shi-long, XIONG Ming-ming

Journal of Changjiang River Scientific Research Institute ›› 2018, Vol. 35 ›› Issue (2) : 33-37.

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Journal of Changjiang River Scientific Research Institute ›› 2018, Vol. 35 ›› Issue (2) : 33-37. DOI: 10.11988/ckyyb.20161162

Prediction Model of Regional Debris Flow in Jixian County, Tianjin

  • LI Da-ming1, YAO Zhi-fan1, LIU Xun-ping1, CHEN Shuo1,    ZHANG Hong-qiang1,BU Shi-long1, XIONG Ming-ming2
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Abstract

In the aim of predicting debris flow in Jixian county of Tianjin, some townships in the county were taken as study area, and area grid was automatically divided, then the node-cell-channel information was generated. By analyzing the formation conditions of debris flow, 7 risk factors of debris flow were selected ,namely occurrence frequency of debris flow, 24 h rainfall, 1 h rainfall, geological lithology, average slope gradient, vegetation cover type and population density. In association with fuzzy weighting method, the weight of each risk factor was calculated and a prediction model of debris flow was established. Furthermore, the debris flow occurred in Shuang’an area of Jixian county in 2012 was simulated according to the calculated risk level of each grid. Results show that in the northern mountainous area of the county, the hazard degree of debris flow Rd varies from 0.4 to 0.8, indicating medium risk and high risk. The hazard point of Shuang’an debris flow is located at a high-risk area, and the simulated results are in accordance with the actual conditions. The model has certain reliability and can be used to forecast the debris flow in the mountainous area of northern Jixian county of Tianjin.

Key words

debris flow / risk factor / weight / fuzzy weighting method / forecast model

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LI Da-ming, YAO Zhi-fan, LIU Xun-ping, CHEN Shuo,    ZHANG Hong-qiang,BU Shi-long, XIONG Ming-ming. Prediction Model of Regional Debris Flow in Jixian County, Tianjin[J]. Journal of Changjiang River Scientific Research Institute. 2018, 35(2): 33-37 https://doi.org/10.11988/ckyyb.20161162

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