| 刘润胜,郭有金.基于IOE-IV耦合模型的地质灾害易发性评价——以陕西省城固县为例[J].矿产勘查,2024,15(1):150-160 |
| 基于IOE-IV耦合模型的地质灾害易发性评价——以陕西省城固县为例 |
| Evaluation of geological disaster susceptibility based on IOE-IV coupling model：A case of Chenggu County， Shaanxi Province |
| 投稿时间：2023-04-25 修订日期：2023-08-08 |
| DOI：10.20008/j.kckc.202401015 |
| 中文关键词: 陕西省城固县 地质灾害 易发性评价 聚类算法 IOE-IV耦合模型 |
| 英文关键词: Chenggu County,Shaanxi Province geological hazard susceptibility evaluation clustering algorithm IOE-IV coupling model |
| 基金项目:本文受“陕西省重大民生水利项目地质灾害一级评估（城固ZP-2022-06）”资助。 |
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| 中文摘要: |
| 地质灾害易发性评价是地质灾害排查、风险性调查评价及预警预报工作的基础，其成果可以作为建设工程是否进行地质灾害危险性评估工作的依据。因此，进行区域地质灾害易发性评价研究显得尤为重要。本文以城固县为研究区，以气象水文类、地形地貌类、基础地质类、植被覆盖类共4类12种诱发因素为评价指标。分别采用K-means算法、FCM算法、层次聚类算法、DBSCAN密度算法对区内126处地质灾害样本数据进行分析提纯，剔除13处样本噪声点。利用提纯后的113处样本点建立IOE-IV耦合模型，并对城固县地质灾害易发性进行分区评价，评价结果表明：（1）地质灾害极高—高易发区、中易发区、极低—低易发区的占比分别为92.04%、4.42%与3.54%，预测结果较合理准确；（2）地质灾害发育主要受高程、水系的控制，在高程412～500 m、距水系小于500 m范围内主要为极高—高易发区，地质灾害呈线状发育。研究成果可以为地质灾害易发性评价样本优化、模型选择提供一定的理论依据。 |
| 英文摘要: |
| Geological hazard susceptibility evaluation is the basis of geological hazard investigation， risk assessment and early warning and forecast， and its results can be used as the basis for geological hazard assessment of construction projects. Therefore， it is particularly important to evaluate the regional geological hazard susceptibility. In this paper， Chenggu County is taken as an example， and 12 kinds of induced factors in 4 categories， including meteorological and hydrology， topography and geomorphology， basic geology and vegetation cover， are taken as the evaluation index. K-means algorithm， FCM algorithm， hierarchical clustering algorithm and DBSCAN density algorithm were used to analyze and purify 126 geological disaster sample data in the area， and 13 interferences were eliminated. The IOE-IV coupling model was established by using the purified 113 sample points， and the geological hazard susceptibility of Chenggu County was evaluated in different regions. The evaluation results showed that： （1） the proportion of extremely high-high-prone， medium-prone， and extremely low-low-prone areas were 92.04%， 4.42% and 3.54%， respectively， indicating that the prediction results were reasonable and accurate； （2） The development of geological hazards is mainly controlled by the elevation and water system. In the range of 412 - 500 m elevation and less than 500 m away from the water system， the geological hazards are mainly extremely high - high prone areas， and the geological hazards develop in a linear manner. The research results can provide a theoretical basis for sample optimization and model selection of geological hazard susceptibility assessment. |
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