基于I-ABC-LightGBM耦合模型的湖北长阳县地质灾害易发性评价

    Evaluation of geological hazard susceptibility in Changyang County, Hubei based on I-ABC-LightGBM coupled model

    • 摘要:
      研究目的 地质灾害易发性评价是地质灾害频发区预测预警的重要手段。长阳县地处鄂西南、清江中下游,地质灾害频发。高精度的地质灾害易发性评价对该区防灾减灾、降低灾害损失具有重要意义。
      研究方法 从地形地貌、地质环境、水文环境、人类活动四方面提取高程、坡度、起伏度等13个致灾因子,利用信息量模型耦合轻量级梯度提升机模型(LightGBM),运用ABC算法优化耦合模型参数,构建I-ABC-LightGBM预测模型,对湖北省长阳县地质灾害易发性进行评价。
      研究结果 评价结果表明:①I-ABC-LightGBM模型预测精度高,预测精度值AUC为0.882,优于信息量模型(0.824)和I-LightGBM模型(0.851);②长阳县地质灾害的极高易发区和高易发区占长阳县总面积的32.37%,中易发区占17.75%,低易发区占22.58%,极低易发区占27.30%;③极高和高易发区主要为中、西南部清江水系沿岸和北部宜昌—万州铁路、沪蓉西高速公路沿线。
      结论 研究结果对同类地质灾害预警、防治和国土规划提供借鉴和典型实例参考。

       

      Abstract:
      Objective Evaluation of geological hazard susceptibility is an important means for prediction and early warning in the area of frequent geological hazard. Changyang County is located south of west Hubei Province and the middle and lower reaches of Qingjiang River,with frequent geological hazards. Therefore, high-precision susceptibility assessment is of great significance for disaster prevention and mitigation and for reducing disaster losses in this region.
      Methods In this paper, 13 disaster−causing factors such as elevation, slope and undulation are extracted from four aspects: topography and geomorphology, geological environment, hydrological environment, and human activities. The I−ABC−LightGBM prediction model is constructed to evaluate the geological hazard susceptibility in Changyang County by using the informative model (I) coupled with the lightweight gradient lifting machine model (LightGBM), and ABC algorithm applied to optimize the parameters of the coupled model.
      Results The evaluation results show that: ① the I−ABC−LightGBM model has high prediction accuracy, with a prediction accuracy value of AUC of 0.882, which is better than the 0.824 of the I model and the 0.851 of the I−LightGBM model; ② the extremely high susceptibility area and the high susceptibility area of the geologic hazards accounted for 32.37% of the total area of Changyang County, the medium susceptibility area accounted for 17.75%, the low susceptibility area accounts for 22.58%, the low−prone area accounts for 27.30%; ③ the very high and high prone areas are mainly in the middle and southwestern part of the Qingjiang River system along the coast and in the northern part of the Yichang−Wanzhou Railway and along the Hurong−West Expressway.
      Conclusions This paper has methodological significance and typical examples of reference significance for similar geological hazard early warning, prevention and control, and land planning work.

       

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