中国地质环境监测院
中国地质灾害防治工程行业协会
主办

基于易发性分区的区域滑坡降雨预警阈值确定

宋昭富, 张勇, 佘涛, 孙金辉, 韩新强, 陶昶旭. 基于易发性分区的区域滑坡降雨预警阈值确定——以云南龙陵县为例[J]. 中国地质灾害与防治学报, 2023, 34(4): 22-29. doi: 10.16031/j.cnki.issn.1003-8035.202209909
引用本文: 宋昭富, 张勇, 佘涛, 孙金辉, 韩新强, 陶昶旭. 基于易发性分区的区域滑坡降雨预警阈值确定——以云南龙陵县为例[J]. 中国地质灾害与防治学报, 2023, 34(4): 22-29. doi: 10.16031/j.cnki.issn.1003-8035.202209909
SONG Zhaofu, ZHANG Yong, SHE Tao, SUN Jinhui, HAN Xinqiang, TAO Changxu. Determination of regional landslide rainfall warning threshold based on susceptibility zoning: A case study in Longling County of Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(4): 22-29. doi: 10.16031/j.cnki.issn.1003-8035.202209909
Citation: SONG Zhaofu, ZHANG Yong, SHE Tao, SUN Jinhui, HAN Xinqiang, TAO Changxu. Determination of regional landslide rainfall warning threshold based on susceptibility zoning: A case study in Longling County of Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(4): 22-29. doi: 10.16031/j.cnki.issn.1003-8035.202209909

基于易发性分区的区域滑坡降雨预警阈值确定

  • 基金项目: 中国地质调查局地质调查项目(DD20221741)
详细信息
    作者简介: 宋昭富(1995-),男,硕士研究生,从事工程地质和地质灾害研究。E-mail:songzhaofu20@mails.ucas.ac.cn
    通讯作者: 张 勇(1981-),男,正高级工程师,主要从事工程地质和地质灾害研究工作。E-mail:zhangenhua11@163.com
  • 中图分类号: P642.22

Determination of regional landslide rainfall warning threshold based on susceptibility zoning: A case study in Longling County of Yunnan Province

More Information
  • 滑坡所处不同易发等级的区域,降雨预警阈值差别较大。为提高滑坡降雨预警的针对性和准确率,文章以野外地质调查和滑坡易发条件分析为基础,结合信息量模型和层次分析法开展滑坡易发性评价,再通过滑坡发生概率与前期累计降雨量的相关性分析,分区进行滑坡降雨预警阈值模型研究。结果表明:坡度、高程、距断层距离、工程地质岩组、水系是龙陵县滑坡的主要孕灾地质条件;龙陵县滑坡非易发区面积为14.33 km2,低易发区面积为1053.87 km2,中易发区面积为1471.65 km2,高易发区面积为254.73 km2;确定单日和前3日为降雨预警时间,分区分时细化了降雨预警阈值模型;对比降雨预警阈值模型应用于龙陵县滑坡监测预警中的前后,预警信息减少了70条,预警准确率提高了14.4%,并实现了镇安镇户帕村施家寨组滑坡的有效预警。文章为区域滑坡降雨预警阈值确定提供了一种较好的参考方法。

  • 加载中
  • 图 1  龙陵县地质环境和滑坡灾害分布图

    Figure 1. 

    图 2  控灾地质环境条件与滑坡分布图

    Figure 2. 

    图 3  龙陵县滑坡易发性评价图

    Figure 3. 

    图 4  模型检验ROC图

    Figure 4. 

    图 5  不同易发等级区划日降雨量预警阈值选取

    Figure 5. 

    图 6  不同易发等级区划前期有效降雨预警阈值选取

    Figure 6. 

    图 7  镇安镇户帕村施家寨组滑坡雨量计蓝色预警前后监测曲线

    Figure 7. 

    图 8  镇安镇户帕村施家寨组滑坡现场变形记录图

    Figure 8. 

    表 1  不同孕灾地质环境条件的信息量

    Table 1.  Information of different disaster-induced geological environmental conditions

    孕灾地质条件分类区间信息量
    坡度/(°)[0, 8)−0.11678
    [8, 16)0.09139
    [16, 21)0.24305
    [24, 32) 0.22223
    [32, 90]−0.17598
    高程/m[540, 1000)−1.87118
    [1000, 1500)−0.01276
    [1500, 2000)0.36376
    [2000, 2500)−0.35401
    [2500, 3001]−0.92529
    距断层距离/m[0,500)0.55638
    [500, 1000)0.33742
    [1000, 1500)−0.08659
    [1500, 2000)−0.00810
    [2000, 25805]−0.11811
    工程地质岩组松散岩土−0.40000
    较硬-硬层状碎屑岩0.24766
    硬质层状碳酸盐岩−0.30988
    岩浆岩−0.16451
    变质岩0.17583
    距水系距离/m[0,200)0.03817
    [200, 400)0.23206
    [400, 600)−0.16629
    [600,800)−0.01517
    [800, 6134]−0.05321
    下载: 导出CSV

    表 2  龙陵县滑坡灾害地质环境条件权重统计表

    Table 2.  Statistics of weights of geological and environmental conditions of landslide disaster in Longling County

    地质环境条件坡度高程距断层距离工程地质岩组距水系距离
    权重0.1860.1420.3150.2590.098
    下载: 导出CSV

    表 3  不同等级的易发区划与实际滑坡分布对比

    Table 3.  Comparison of the prone zoning of different grades with the actual landslide distribution

    易发分区灾点数量/个灾点比例/%面积/km2面积比例/%灾点密度/km2滑坡面积/km2占总滑坡面积比例/%
    非易发区0014.330.51000
    低易发区1612.121053.8737.460.020.136.11
    中易发区7053.031471.6552.960.050.9846.71
    高易发区4634.84254.739.100.180.9947.18
    下载: 导出CSV

    表 4  累计降雨量和滑坡相关性分析

    Table 4.  Correlation analysis of different times and landslides in the previous period

    累计降雨量相关系数累计降雨量相关系数
    前1 d0.819前5 d0.524
    前2 d0.785前6 d0.412
    前3 d0.808前7 d 0.316
    前4 d0.615前8 d0.213
    下载: 导出CSV

    表 5  相关系数与相关强度对照表[16]

    Table 5.  Comparison of correlation coefficient and correlation intensity

    相关系数的值直线相关程度
    |r|=0完全不相关
    |r|≤0.3微弱相关
    0.3<|r|≤0.5低度相关
    0.5<|r|≤0.8显著相关
    0.8<|r|<1高度相关
    |r|=1完全相关
    下载: 导出CSV

    表 6  龙陵县滑坡四色预警降雨阈值

    Table 6.  Landslide four-color warning rainfall threshold of Longling County

    易发分区降雨时段不同等级预警阈值/mm
    蓝色黄色橙色红色
    低易发区单日47.271.389.7108.6
    前3 d38.957.366.979.3
    中易发区单日41.963.877.195.3
    前3 d35.148.555.666.9
    高易发区单日36.754.267.387.6
    前3 d27.144.151.161.9
    下载: 导出CSV
  • [1]

    李媛,杨旭东. 降雨诱发区域性滑坡预报预警方法研究[J]. 水文地质工程地质,2006,33(2):101 − 103. [LI Yuan,YANG Xudong. Research on the forecasting and early warning of the regional precipitation-induced landslide[J]. Hydrogeology & Engineering Geology,2006,33(2):101 − 103. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-3665.2006.02.024

    LI Yuan, YANG Xudong. Research on the forecasting and early warning of the regional precipitation-induced landslide[J]. Hydrogeology & Engineering Geology, 2006, 33(2): 101-103. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-3665.2006.02.024

    [2]

    温铭生,王连俊,李铁锋,等. 云南省新平县滑坡预警区划研究[J]. 水文地质工程地质,2010,37(4):103 − 106. [WEN Mingsheng,WANG Lianjun,LI Tiefeng,et al. Early-warning zoning studying of landslides in Xinping[J]. Hydrogeology & Engineering Geology,2010,37(4):103 − 106. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-3665.2010.04.021

    WEN Mingsheng, WANG Lianjun, LI Tiefeng, et al. Early-warning zoning studying of landslides in Xinping[J]. Hydrogeology & Engineering Geology, 2010, 37(4): 103-106. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-3665.2010.04.021

    [3]

    温智熊,蓝俊康,梁一敏. 广西龙胜县崩塌和滑坡地质灾害的气象预警预报[J]. 桂林理工大学学报,2018,38(3):464 − 468. [WEN Zhixiong,LAN Junkang,LIANG Yimin. Meteorological forecasting and alarming system against geological disasters in Longsheng of Guangxi[J]. Journal of Guilin University of Technology,2018,38(3):464 − 468. (in Chinese with English abstract) doi: 10.3969/j.issn.1674-9057.2018.03.013

    WEN Zhixiong, LAN Junkang, LIANG Yimin. Meteorological forecasting and alarming system against geological disasters in Longsheng of Guangxi[J]. Journal of Guilin University of Technology, 2018, 38(3): 464-468. (in Chinese with English abstract) doi: 10.3969/j.issn.1674-9057.2018.03.013

    [4]

    朱文慧,晏鄂川,邹浩,等. 湖北省黄冈市降雨型滑坡气象预警判据[J]. 地质科技通报,2022,41(6):45 − 53. [ZHU Wenhui,YAN Echuan,ZOU Hao,et al. Meteorological early warning criterion of rainfall landslide in Huanggang City,Hubei Province[J]. Bulletin of Geological Science and Technology,2022,41(6):45 − 53. (in Chinese with English abstract)

    ZHU Wenhui, YAN Echuan, ZOU Hao, et al. Meteorological early warning criterion of rainfall landslide in Huanggang City, Hubei Province[J]. Bulletin of Geological Science and Technology, 2022, 41(6): 45-53. (in Chinese with English abstract)

    [5]

    曹中山. 基于易发性和临界降雨阈值的滑坡危险性预警建模研究[D]. 南昌: 南昌大学, 2020

    CAO Zhongshan. Study on landslide risk early warning modeling based on susceptibility and critical rainfall threshold[D]. Nanchang: Nanchang University, 2020. (in Chinese with English abstract)

    [6]

    孙德亮. 基于机器学习的滑坡易发性区划与降雨诱发滑坡预报预警研究[D]. 上海: 华东师范大学, 2019

    SUN Deliang. Study on landslide susceptibility zoning and rainfall-induced landslide prediction and early warning based on machine learning[D]. Shanghai: East China Normal University, 2019. (in Chinese with English abstract)

    [7]

    ROSI A,SEGONI S,CATANI F,et al. Statistical and environmental analyses for the definition of a regional rainfall threshold system for landslide triggering in Tuscany (Italy)[J]. Journal of Geographical Sciences,2012,22(4):617 − 629. doi: 10.1007/s11442-012-0951-0

    [8]

    朱昳橙,李益敏,魏苏杭. 怒江州滑坡地质灾害气象预警模型研究[J]. 云南大学学报(自然科学版),2016,38(4):610 − 619. [ZHU Yicheng,LI Yimin,WEI Suhang. A prediction model study on landslide in Nujiang State[J]. Journal of Yunnan University (Natural Sciences Edition),2016,38(4):610 − 619. (in Chinese with English abstract)

    ZHU Yicheng, LI Yimin, WEI Suhang. A prediction model study on landslide in Nujiang State[J]. Journal of Yunnan University (Natural Sciences Edition), 2016, 38(4): 610-619. (in Chinese with English abstract)

    [9]

    夏辉,殷坤龙,梁鑫,等. 基于SVM-ANN模型的滑坡易发性评价—以三峡库区巫山县为例[J]. 中国地质灾害与防治学报,2018,29(5):13 − 19. [XIA Hui,YIN Kunlong,LIANG Xin,et al. Landslide susceptibility assessment based on SVM-ANN Models:A case stualy for Wushan County in the Three Gorges Reservoir[J]. The Chinese Journal of Geological Hazard and Control,2018,29(5):13 − 19. (in Chinese with English abstract)

    XIA Hui, YIN Kunlong, LIANG Xin, et al. Landslide susceptibility assessment based on SVM-ANN Models: a case stualy for Wushan County in the Three Gorges Reservoir[J]. The Chinese Journal of Geological Hazard and Control, 2018, 29(5): 13-19. (in Chinese with English abstract)

    [10]

    刘福臻,王灵,肖东升. 机器学习模型在滑坡易发性评价中的应用[J]. 中国地质灾害与防治学报,2021,32(6):98 − 106. [LIU Fuzhen,WANG Ling,XIAO Dongsheng. Application of machine learning model in landslide susceptibility evaluation[J]. The Chinese Journal of Geological Hazard and Control,2021,32(6):98 − 106. (in Chinese with English abstract)

    LIU Fuzhen, WANG Ling, XIAO Dongsheng. Application of machine learning model in landslide susceptibility evaluation[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(6): 98-106. (in Chinese with English abstract)

    [11]

    张玘恺,凌斯祥,李晓宁,等. 九寨沟县滑坡灾害易发性快速评估模型对比研究[J]. 岩石力学与工程学报,2020,39(8):1595 − 1610. [ZHANG Qikai,LING Sixiang,LI Xiaoning,et al. Comparison of landslide susceptibility mapping rapid assessment models in Jiuzhaigou County,Sichuan Province,China[J]. Chinese Journal of Rock Mechanics and Engineering,2020,39(8):1595 − 1610. (in Chinese with English abstract) doi: 10.13722/j.cnki.jrme.2020.0029

    ZHANG Qikai, LING Sixiang, LI Xiaoning, et al. Comparison of landslide susceptibility mapping rapid assessment models in Jiuzhaigou County, Sichuan Province, China[J]. Chinese Journal of Rock Mechanics and Engineering, 2020, 39(8): 1595-1610. (in Chinese with English abstract) doi: 10.13722/j.cnki.jrme.2020.0029

    [12]

    郭子正,殷坤龙,黄发明,等. 基于滑坡分类和加权频率比模型的滑坡易发性评价[J]. 岩石力学与工程学报,2019,38(2):287 − 300. [GUO Zizheng,YIN Kunlong,HUANG Faming,et al. Evaluation of landslide susceptibility based on landslide classification and weighted frequency ratio model[J]. Chinese Journal of Rock Mechanics and Engineering,2019,38(2):287 − 300. (in Chinese with English abstract)

    GUO Zizheng, YIN Kunlong, HUANG Faming, et al. Evaluation of landslide susceptibility based on landslide classification and weighted frequency ratio model[J]. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(2): 287-300. (in Chinese with English abstract)

    [13]

    张勇,温智,程英建. 四川巴中市滑坡灾害与降雨雨型关系探讨[J]. 水文地质工程地质,2020,47(2):178 − 182. [ZHANG Yong,WEN Zhi,CHENG Yingjian. A discussion of the relationship between landslide disaster and rainfall types in Bazhong of Sichuan[J]. Hydrogeology & Engineering Geology,2020,47(2):178 − 182. (in Chinese with English abstract) doi: 10.16030/j.cnki.issn.1000-3665.201906036

    ZHANG Yong, WEN Zhi, CHENG Yingjian. A discussion of the relationship between landslide disaster and rainfall types in Bazhong of Sichuan[J]. Hydrogeology & Engineering Geology, 2020, 47(2): 178-182. (in Chinese with English abstract) doi: 10.16030/j.cnki.issn.1000-3665.201906036

    [14]

    栗倩倩,史绪山,柴波,等. 台风-非台风降雨型滑坡的多时段临界雨量值预测模型[J]. 地质科技通报,2022,41(2):267 − 273. [LI Qianqian,SHI Xushan,CHAI Bo,et al. Multiduration critical rainfall prediction model for typhoons and non-typhoon rainfall landslides[J]. Bulletin of Geological Science and Technology,2022,41(2):267 − 273. (in Chinese with English abstract)

    LI Qianqian, SHI Xushan, CHAI Bo, et al. Multiduration critical rainfall prediction model for typhoons and non-typhoon rainfall landslides[J]. Bulletin of Geological Science and Technology, 2022, 41(2): 267-273. (in Chinese with English abstract)

    [15]

    夏梦想,李远耀,吴吉民,等. 基于I-D统计模型的张家界市滑坡灾害降雨预警阀值研究[J]. 自然灾害学报,2021,30(4):203 − 212. [XIA Mengxiang,LI Yuanyao,WU Jimin,et al. Research on rainfall early warning threshold of landslide disaster in Zhangjiajie City based on I-D statistical model[J]. Journal of Natural Disasters,2021,30(4):203 − 212. (in Chinese with English abstract)

    XIA Mengxiang, LI Yuanyao, WU Jimin, et al. Research on rainfall early warning threshold of landslide disaster in Zhangjiajie City based on I-D statistical model[J]. Journal of Natural Disasters, 2021, 30(4): 203-212. (in Chinese with English abstract)

    [16]

    卢纹岱. SPSS统计分析(第4版)[M]. 电子工业出版社, 2012

    LU Wendai. SPSS Statistical Analysis (4th Edition) [M]. Publishing House of Electronics Industry, 2012. (in Chinese with English abstract)

    [17]

    林巍,李远耀,徐勇,等. 湖南慈利县滑坡灾害的临界降雨量阈值研究[J]. 长江科学院院报,2020,37(2):48 − 54. [LIN Wei,LI Yuanyao,XU Yong,et al. Rainfall thresholds of rainfall-triggered landslides in Cili County,Hunan Province[J]. Journal of Yangtze River Scientific Research Institute,2020,37(2):48 − 54. (in Chinese with English abstract) doi: 10.11988/ckyyb.20181125

    LIN Wei, LI Yuanyao, XU Yong, et al. Rainfall thresholds of rainfall-triggered landslides in Cili County, Hunan Province[J]. Journal of Yangtze River Scientific Research Institute, 2020, 37(2): 48-54. (in Chinese with English abstract) doi: 10.11988/ckyyb.20181125

    [18]

    刘谢攀, 殷坤龙, 肖常贵, 等. 基于 I-D-R 阈值模型的滑坡气象预警[J/OL]. 地球科学, 2022(2022-09-05)[2022-07-11]. https://kns.cnki.net/kcms/detail/42.1874.P.20220708.1511.002.html.

    LIU Xiepan, YIN Kunlong, XIAO Changgui, et al. Meteorological early warning of landslide based on I-D-R threshold model[J]. Earth Science, 1 − 15. [2023-05-24](in Chinese with English abstract)

    [19]

    黄发明,曹中山,姚池,等. 基于决策树和有效降雨强度的滑坡危险性预警[J]. 浙江大学学报(工学版),2021,55(3):472 − 482. [HUANG Faming,CAO Zhongshan,YAO Chi,et al. Landslides hazard warning based on decision tree and effective rainfall intensity[J]. Journal of Zhejiang University (Engineering Science),2021,55(3):472 − 482. (in Chinese with English abstract)

    HUANG Faming, CAO Zhongshan, YAO Chi, et al. Landslides hazard warning based on decision tree and effective rainfall intensity[J]. Journal of Zhejiang University (Engineering Science), 2021, 55(3): 472-482. (in Chinese with English abstract)

    [20]

    中国气象局. 暴雨诱发的地质灾害气象风险预警等级: QX/T 487—2019[S]. 北京: 气象出版社, 2019

    China Meteorological Bureau of the People's Republic of China. Meteorological risk early warning levels of geological disaster induced by torrential rain: QX/T 487—2019[S]. Beijing: China Meteorological Press, 2019. (in Chinese)

    [21]

    赵衡,宋二祥. 诱发区域性滑坡的降雨阈值[J]. 吉林大学学报(地球科学版),2011,41(5):1481 − 1487. [ZHAO Heng,SONG Erxiang. Rainfall thresholds for regional landslides[J]. Journal of Jilin University (Earth Science Edition),2011,41(5):1481 − 1487. (in Chinese with English abstract)

    ZHAO Heng, SONG Erxiang. Rainfall thresholds for regional landslides[J]. Journal of Jilin University (Earth Science Edition), 2011, 41(5): 1481-1487. (in Chinese with English abstract)

    [22]

    戴丛蕊,黄玮,李蒙,等. 云南降雨型滑坡县级预警雨量阈值分析[J]. 气象科技,2015,43(4):675 − 680. [DAI Congrui,HUANG Wei,LI Meng,et al. County-level rainfall warning thresholds for rainfall-induced landslides in Yunnan[J]. Meteorological Science and Technology,2015,43(4):675 − 680. (in Chinese with English abstract) doi: 10.3969/j.issn.1671-6345.2015.04.019

    DAI Congrui, HUANG Wei, LI Meng, et al. County-level rainfall warning thresholds for rainfall-induced landslides in Yunnan[J]. Meteorological Science and Technology, 2015, 43(4): 675-680. (in Chinese with English abstract) doi: 10.3969/j.issn.1671-6345.2015.04.019

  • 加载中

(8)

(6)

计量
  • 文章访问数:  1068
  • PDF下载数:  36
  • 施引文献:  0
出版历程
收稿日期:  2022-09-05
修回日期:  2023-04-04
刊出日期:  2023-08-25

目录