-
摘要:
勉略宁地处秦巴山区，是陕西省地质灾害发育最严重的地区之一。笔者基于GIS与机器学习技术，采用了与地质灾害发生密切相关的12种因子，通过构建样本集，选用5种机器学习算法进行勉略宁地区的地质灾害危险性建模。实验结果标明，随机森林模型能够更好地模拟勉略宁地区的地质灾害发生情况。通过该模型对勉略宁地区进行地质灾害危险区进一步划分，从而指导地质灾害调查与防治工作。
Abstract:Mianluening, located in Qinba mountain area, is one of the areas with the most serious geohazards in Shaanxi Province. This paper adopts 12 factors closely related to the occurrence of geohazards to construct a sample set based on GIS and machine learning technology, and then selects five machine learning algorithms to model the risk of geohazards in Mianluening area. The experiments demonstrated that the Random Forests model is the most suitable one to simulate the occurance of geohazards in the study area. Further division of geohazards risk is then performed by the aforementioned model, which is useful to guide the geohazards investigation and prevention.
-
Key words:
- geohazards /
- risk evaluation /
- Mianluening area /
- Machine learning
-
-
表 1 评价因子表
Table 1. Evaluation Factors
一级因子 二级因子 三级因子 获取方式 孕灾
因子地形地貌 高程 DEM数据处理 坡度 DEM数据处理 坡向 DEM数据处理 曲率 DEM数据处理 地质条件 地质工程分区 原始资料矢量化 距断裂带距离 距离分析 气候条件 降雨量 多年年平均
降雨量水文条件 距河流距离 距离分析 环境条件 归一化植被指数（NDVI） 遥感数据处理 诱发
因子人类工程
活动土地利用类型 栅格图 距离农村
居民点距离距离分析 距路网距离 距离分析 
下载: 导出CSV
表 2 模型测试结果对比表
Table 2. Comparison of model test results
RF模型 预测值 准确率 0.95 1 0 精确度 0.96 真实值 1 216 11 召回率 0.95 0 10 221 F1值 0.95 LR模型 预测值 准确率 0.83 1 0 精确度 0.82 真实值 1 193 34 召回率 0.85 0 42 189 F1值 0.84 SVM模型 预测值 准确率 0.78 1 0 精确度 0.73 真实值 1 198 29 召回率 0.87 0 74 157 F1值 0.79 NB模型 预测值 准确率 0.81 1 0 精确度 0.75 真实值 1 205 22 召回率 0.90 0 67 164 F1值 0.82 GBDT模型 预测值 准确率 0.95 1 0 精确度 0.94 真实值 1 215 12 召回率 0.95 0 13 218 F1值 0.95
下载: 导出CSV
-
封建民, 杨波, 谢瑞莲, 等. 陕西省略阳县地质灾害危险性区划评估[J]. 地理空间信息, 2021, 19(02): 78-82 doi: 10.3969/j.issn.1672-4623.2021.02.021
FEN Jianmin, YANG Bo, XIE Ruilian, et al. Evaluation of geological hazard risk zoning in Lueyang County, Shaanxi Province[J]. Geospatial Information, 2021, 19(02): 78-82. doi: 10.3969/j.issn.1672-4623.2021.02.021
焦玉国. 山东泰安市地质灾害易发性分区[J]. 中国地质灾害与防治学报, 2016, 27(01): 130-135 doi: 10.16031/j.cnki.issn.1003-8035.2016.01.21
JIAO Yuguo. Geology hazard’s susceptibility zonation in villages and towns in Tai’an, Shandong province[J]. The Chinese Journal of Geological Hazard and Control, 2016, 27(01): 130-135. doi: 10.16031/j.cnki.issn.1003-8035.2016.01.21
李曼, 邹振华, 史培军, 等. 世界地震灾害风险评价[J]. 自然灾害学报, 2015, 24(05): 1-11
LI Man, ZOU Zhenghua, SHI Peijun, et al. World earthquake disaster risk assessment[J]. Journal of Natural Disasters, 2015, 24(05): 1-11.
马寅生, 张业成, 张春山, 等. 地质灾害风险评价的理论与方法[J]. 地质力学学报, 2004, 10(1): 7-18 doi: 10.3969/j.issn.1006-6616.2004.01.002
MA Yinsheng, ZHANG Yecheng, ZHANG Chunsh, et al. Theory and approaches to the risk evaluation of geological hazards[J]. Journal of Geomechanics, 2004, 10(1): 7-18. doi: 10.3969/j.issn.1006-6616.2004.01.002
强菲, 赵法锁, 段钊. 陕南秦巴山区地质灾害发育及空间分布规律[J]. 灾害学, 2015, 30(02): 193-198 doi: 10.3969/j.issn.1000-811X.2015.02.037
QIANG Fei, ZHAO Fasuo, DUAN Zhao. Development and spatial distribution of geological disasters in Qinling-daba mountains of south Shaanxi[J]. Journal of Catastrophology, 2015, 30(02): 193-198. doi: 10.3969/j.issn.1000-811X.2015.02.037
乔伟. 综合危险性指数法在泰山区地质灾害易发区划分中的应用[J]. 防灾科技学院学报, 2015, 17(01): 53-58
QIAO Wei. Application of synthetic risk index method in division of areas vulnerable to geohazards in Taishan district[J]. Journal of institute of disaster prevention. 2015, 17(01): 53-58. (In Chinese)
苏晓军, 张毅, 贾俊, 等. 基于InSAR技术的秦岭南部略阳县潜在滑坡灾害识别研究[J]. 山地学报, 2021, 39(01): 59-70
SU Xiaojun, ZHANG Yi, JIA Jun, et al. InSAR-based monitoring and identification of potential landslides in Lueyang County, the Southern Qinling Mountains, China[J]. Mountain Research, 2021, 39(01): 59-70.
唐亚明, 程秀娟, 薛强, 等. 基于层次分析法的黄土滑塌风险评价指标权重分析[J]. 中国地质灾害与防治学报, 2012, 23(04): 40-46
TANG Yaming, CHENG Xiujuan, XUE Qiang, et al. Weights analysis of Loess collapse risk assessing factors based on analytical hierarchy process[J]. The Chinese Journal of Geological Hazard and Control, 2012, 23(04): 40-46.
唐亚明, 张茂省, 李政国, 等. 国内外地质灾害风险管理对比及评述[J]. 西北地质, 2015, 48(02): 238-246 doi: 10.3969/j.issn.1009-6248.2015.02.025
TANG Yaming, ZHANG Maosheng, LI Zhengguo, et al. Review and comparison on Inland and overseas geo-hazards risk management[J]. Northwestern Geology, 2015, 48(02): 238-246. doi: 10.3969/j.issn.1009-6248.2015.02.025
王西安. 宁强县地质灾害风险评价[D]. 西安: 长安大学, 2017
WANG Xian. Ningqiang County geological disaster risk assessment [D]. Xi’an: Chang’an University, 2017.
王小浩, 唐亚明, 王佳运, 等. 基于加权证据权法的吴堡地质灾害敏感性评价研究[J]. 陕西水利, 2020(02): 1-3 doi: 10.16747/j.cnki.cn61-1109/tv.2020.02.001
WANG Xiaohao, TANG Yaming, WANG Jiayun, et al. Sensitivity evaluation of geological hazards in wubao county based on weighted evidence method[J]. Shaanxi Water Resources, 2020(02): 1-3. doi: 10.16747/j.cnki.cn61-1109/tv.2020.02.001
王雁林, 郝俊卿, 赵法锁, 等. 汶川地震陕西重灾区地质灾害风险区划探讨[J]. 灾害学, 2011, 26(04): 35-39 doi: 10.3969/j.issn.1000-811X.2011.04.007
WANG Yanlin, Hao Junqing, Zhao Fasuo, et al. A Discussion on Regional Risk Zoning of Geological Hazard in the Worst-hit Area of the Wenchuan Earthquake in Shaanxi Province[J]. Journal of Catastrophology, 2011, 26(04): 35-39. doi: 10.3969/j.issn.1000-811X.2011.04.007
杨运军, 韩旭, 杜少喜. 陕西勉略宁三角区成矿系统与成矿规律浅析[J]. 科技通报, 2020, 36(07): 4-13
YANG Yunjun, HAN Xu, DU Shaoxi. Analysis of The Metallogenic System and Metallogenic Regularity in Mian-lue-ning Triangle Zone[J]. Bulletin of Science and Technology, 2020, 36(07): 4-13.
俞布, 潘文卓, 宋健, 等. 杭州市滑坡地质灾害危险性区划与评价[J]. 岩土力学, 2012, 33(S1): 193-199
YU Bu, Pan Wenzhuo, Song Jian, et al. Risk zonation and evaluation of landslide geohazards in Hangzhou[J]. Rock and Soil Mechanics, 2012, 33(S1): 193-199.
张茂省, 贾俊, 王毅, 等. 基于人工智能(AI)的地质灾害防控体系建设[J]. 西北地质, 2019a, 52(02): 103-116 doi: 10.19751/j.cnki.61-1149/p.2019.02.011
ZHANG Maosheng, JIA Jun, WANG Yi, et al. Construction of Geological Disaster Prevention and Control System Based on AI[J]. Northwestern Geology, 2019a, 52(02): 103-116. doi: 10.19751/j.cnki.61-1149/p.2019.02.011
张茂省, 薛强, 贾俊, 等. 山区城镇地质灾害调查与风险评价方法及实践[J]. 西北地质, 2019b, 52(02): 125-135
ZHANG Maosheng, XUE Qiang, JIA Jun, et al. Methods and Practices for the Investigation and Risk Assessment of Geo-hazards in Mountainous Towns[J]. Northwestern Geology, 2019b, 52(02): 125-135.
张麒麟. 巴中市平昌县地质灾害危险性区划研究[D]. 成都: 成都理工大学, 2016
ZHANG Qilin. Study on the risk zoning of geological hazards in Pingchang of Bazhong[D]. Chengdu: Chengdu University of Technology, 2016.
张晓东. 基于遥感和GIS的宁夏盐池县地质灾害风险评价研究[D]. 北京: 中国地质大学(北京), 2018
ZHANG Xiaodong. Study on Geological Disaster Risk Assessment Based on RS and GIS in Yanchi County, Ningxia[D]. Beijing: China University of Geosciences (Beijing), 2018.
Nichol Janet E, Shaker Ahmed, Wong Man-Sing. Application of high-resolution stereo satellite images to detailed landslide hazard assessment[J]. Geomorphology (Amsterdam, Netherlands), 2006, 76(1-2): 68-75.
Pavlova Irina, Makarigakis Alexandros, Depret Thomas, et al. Global overview of the geological hazard exposure and disaster risk awareness at world heritage sites[J]. Journal of Cultural Heritage, 2017, 28: 151-157. doi: 10.1016/j.culher.2015.11.001
Van Westen C J, Van Asch T W J, Soeters R. Landslide hazard and risk zonation; why is it still so difficult?[J]. Bulletin of Engineering Geology and the Environment, 2006, 65(2): 167-184. doi: 10.1007/s10064-005-0023-0
Wu Shuren, Jin Yimin, Zhang Yongshuang, et al. Investigations and assessment of the landslide hazards of Fengdu county in the reservoir region of the Three Gorges project on the Yangtze River[J]. Environmental Geology, 2004, 45(4): 560-566. doi: 10.1007/s00254-003-0911-1
-
图(7)
表(2)
计量
- 文章访问数: 1098
- PDF下载数: 64
- 施引文献: 0