| 李勇,宋英旭.基于GBDT模型的广东阳春市地质灾害易发性评价研究[J].矿产勘查,2023,14(12):2434-2446 |
| 基于GBDT模型的广东阳春市地质灾害易发性评价研究 |
| Research on the susceptibility evaluation of geological disasters in Guangdong Yangchun City based on the GBDT model |
| 投稿时间：2023-10-11 修订日期：2023-12-06 |
| DOI：10.20008/j.kckc.202312014 |
| 中文关键词: 滑坡易发性评价 阳春市 梯度提升决策树 防灾减灾 广东省 |
| 英文关键词: landslide susceptibility evaluation Yangchun City gradient boosting decision tree disaster prevention and mitigation Guangdong Province |
| 基金项目:本文受中央自然灾害防治体系建设补助项目“广东省阳江市地质灾害风险调查评价（1∶100000）”（TZJH230213000224）资助。 |
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| 中文摘要: |
| 本研究旨在利用梯度提升决策树（Gradient Boosting Decision Tree，GBDT）模型，对广东省阳春市滑坡易发性进行评价。通过收集大量地质、地形、气象等相关数据，提取了坡度、坡向、工程岩组等11个地质灾害易发性评价指标，构建了全面的滑坡易发性评价指标体系，并采用GBDT模型进行训练和预测。受试者曲线（Receiver Operator Characteristic，ROC曲线）和AUC值（Area Under Curve，AUC）被用于评估模型的准确性，研究结果表明，模型的AUC值达到了0.9414，说明GBDT模型在阳春市滑坡易发性评价中表现出较高的准确性和可靠性。易发性分区统计结果显示，整个阳春市中，高易发区占4.98%，中易发区占8.42%，低易发区占16.39%，非易发区占70.22%。本文研究方法可为开展区域地质灾害易发性评价提供参考。 |
| 英文摘要: |
| This study aims to use the Gradient Boosting Decision Tree （GBDT） model to evaluate the landslide susceptibility in Yangchun City， Guangdong Province. A comprehensive system of evaluation indicators for geological disaster susceptibility was constructed by collecting a vast amount of geological， topographical， and meteorological data and extracting 11 key indicators， such as slope， aspect， and engineering rock group. The GBDT model was trained and predicted using these indicators. The accuracy of the model was assessed using the Receiver Operator Characteristic （ROC） curve and the Area Under Curve （AUC） value. The results showed that AUC value of the model reached 0.9414， indicating high accuracy and reliability of the GBDT model in evaluating landslide susceptibility in Yangchun City. The statistical results of susceptibility zoning showed that in the entire study area， highly susceptible areas accounted for 4.98%， moderately susceptible areas for 8.42%， low susceptibility areas for 16.39%， and non-susceptible areas for 70.22%. The research method of this paper can be used for the evaluation of regional geological disasters. |
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