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张林梵, 王佳运, 张茂省, 陈社斌, 王涛. 2022. 基于BP神经网络的区域滑坡易发性评价. 西北地质, 55(2): 260-270. doi: 10.19751/j.cnki.61-1149/p.2022.02.023
引用本文: 张林梵, 王佳运, 张茂省, 陈社斌, 王涛. 2022. 基于BP神经网络的区域滑坡易发性评价. 西北地质, 55(2): 260-270. doi: 10.19751/j.cnki.61-1149/p.2022.02.023
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ZHANG Linfan, WANG Jiayun, ZHANG Maosheng, CHEN Shebin, WANG Tao. 2022. Evaluation of Regional Landslide Susceptibility Assessment Based on BP Neural Network. Northwestern Geology, 55(2): 260-270. doi: 10.19751/j.cnki.61-1149/p.2022.02.023
Citation: ZHANG Linfan, WANG Jiayun, ZHANG Maosheng, CHEN Shebin, WANG Tao. 2022. Evaluation of Regional Landslide Susceptibility Assessment Based on BP Neural Network. Northwestern Geology, 55(2): 260-270. doi: 10.19751/j.cnki.61-1149/p.2022.02.023
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基于BP神经网络的区域滑坡易发性评价

  • 1. 中国地质调查局西安地质调查中心, 陕西 西安 710054;

  • 2. 陕西铁道工程勘察有限公司, 陕西 西安 710043

  • 基金项目:

    中国地质调查局项目“南疆兵团师市规划建设区资源环境综合地质调查”（DD20201119）。

详细信息
    作者简介: 张林梵(1996-),男,硕士研究生,主要从事地质灾害调查与研究工作。E-mail:2019226044@chd.edu.cn。
    通讯作者: 张茂省(1962-),男,研究员,主要从事水工环地质调查与研究工作。E-mail:xazms@126.com。

  • 中图分类号: P694

Evaluation of Regional Landslide Susceptibility Assessment Based on BP Neural Network

  • 1. Xi'an Geological Survey Center of China Geological Survey, Xi'an 710054, Shaanxi, China;

  • 2. Shaanxi Railway Engineering Survey Co., LTD, Xi'an 710064, Shaanxi

More Information

    摘要
  • 区域滑坡易发性评价是开展区域滑坡地质灾害危险性、风险性评价的基础。结合新疆伊宁县野外地质调查数据，采用数据挖掘技术分析研究区黄土滑坡控制性因素，以此作为挑选致灾因子的判据。通过BP神经网络模型来构建区域滑坡易发性预测模型，采用训练良好的BP神经网络模型，结合整个研究区DEM数据和遥感解译数据，得出研究区滑坡灾害易发性分区图，为当地区域滑坡的预防和治理决策提供一定参考。
    The evaluation of regional landslide susceptibility is the basis of regional landslide hazard assessment and regional landslide risk assessment. Combined with the field geological survey data of Yining County in Xinjiang, the controlling factors of landslide in the study area are analyzed by using data mining technology, which can be used as the criteria for selecting disaster causing factors. The BP neural network model is used to build the prediction model of regional landslide susceptibility. The trained BP neural network model is combined with the DEM data and remote sensing interpretation data of the whole study area to obtain the landslide hazard susceptibility zoning map of the study area, which provides a certain reference for the local regional landslide prevention and governance decision-making.
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收稿日期:  2021-04-07
修回日期:  2021-11-19

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