摘要
西安市仁宗街道属典型的山区乡镇,地质环境复杂,人类工程活动频繁,崩滑灾害多发频发.为合理预测山区乡镇地质灾害的空间分布特征,以西安市仁宗街道为研究区,开展了山区乡镇地质灾害易发性评价优化方法研究.在仁宗街道大比例尺地质灾害调查和孕灾条件分析的基础上,以栅格为评价单元,选取坡度、坡高、坡向、坡型、工程岩组、斜坡结构、距道路距离、切坡程度、植被覆盖度等9个影响因子,采用综合指数法对研究区地质灾害易发性进行评价.将现场调查确定的变形区和地质灾害点范围栅格化和定量化,对综合指数法的评价结果进行优化,并分别利用ROC曲线进行检验.结果显示:评价结果精度从81.7%提高至92.4%,有效提高了乡镇地质灾害易发性评价的准确性,可为地质灾害防灾减灾提供科学依据.
The Renzong Subdistrict in Xi’an City is a typical mountainous township characterized by complex geology,frequent human engineering activities,and recurrent landslide and collapse disasters.To reasonably predict the spatial distribution characteristics of geohazards in mountainous townships,this paper selects Renzong as the study area for the optimization methods of geohazard susceptibility assessment in mountainous townships.Based on the large-scale geohazard survey and analysis of disaster-pregnant conditions,taking grid cells as the evaluation units,nine impact factors,including slope gradient,slope height,slope aspect,slope type,engineering rock group,slope structure,distance from roads,slope cutting degree,and vegetation coverage,are selected for geohazard susceptibility assessment in the study area with composite index method.Besides,the deformation zones and geohazard sites identified by field survey are rasterized and quantified to optimize the evaluation results of composite index method,with validation by ROC curves.The results show that the evaluation precision has increased from 81.7%to 92.4%,effectively enhancing the accuracy of geohazard susceptibility assessment for townships.The method provides a scientific basis for geohazard prevention and mitigation.
作者
强林
王鲜
郝业
李博文
胡鹏
韩秀清
杨伟光
QIANG Lin;WANG Xian;HAO Ye;LI Bo-wen;HU Peng;HAN Xiu-qing;YANG Wei-guang(Shaanxi Tiandi Geology Co.,Ltd.,Xi’an 710054,China;School of Geological Engineering and Geometry,Chang’an University,Xi’an 710054,China)
出处
《地质与资源》
2025年第3期361-370,394,共11页
Geology and Resources
基金
陕西省自然资源厅项目“陕西省西安市临潼区仁宗街道1/1万地质灾害风险调查评价”(陕自然资勘发[2022]13号).
关键词
地质灾害
易发性评价
综合指数法
变形区识别
山区乡镇
geological hazard
susceptibility assessment
composite index method
identification of deformation zone
mountainous township
