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文章导航 > 中国地质灾害与防治学报 > 2022 > 33(3): 134-142

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易靖松, 王峰, 程英建, 张勇. 高山峡谷区地质灾害危险性评价——以四川省阿坝县为例[J]. 中国地质灾害与防治学报, 2022, 33(3): 134-142. doi: 10.16031/j.cnki.issn.1003-8035.2022.03-15
引用本文: 易靖松, 王峰, 程英建, 张勇. 高山峡谷区地质灾害危险性评价——以四川省阿坝县为例[J]. 中国地质灾害与防治学报, 2022, 33(3): 134-142. doi: 10.16031/j.cnki.issn.1003-8035.2022.03-15
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YI Jingsong, WANG Feng, CHENG Yingjian, ZHANG Yong. Study on the risk assessment of geological disasters in alpine valley area: A case study in Aba County, Sichuan Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(3): 134-142. doi: 10.16031/j.cnki.issn.1003-8035.2022.03-15
Citation: YI Jingsong, WANG Feng, CHENG Yingjian, ZHANG Yong. Study on the risk assessment of geological disasters in alpine valley area: A case study in Aba County, Sichuan Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(3): 134-142. doi: 10.16031/j.cnki.issn.1003-8035.2022.03-15
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高山峡谷区地质灾害危险性评价

  • 1.

    中国地质调查局地质灾害防治技术中心/中国地质科学院探矿工艺研究所，四川 成都　611734

  • 2.

    四川省地矿局成都水文地质工程地质中心/四川省华地建设工程有限责任公司，四川 成都　610036

  • 基金项目: 中国地质调查局地质调查项目（DD20190643）
详细信息
    作者简介: 易靖松（1990-），男，四川广安人，硕士研究生，工程师，主要从事地质灾害调查、勘查、设计与防治技术研究等方面的工作。E-mail：991591136@qq.com

  • 中图分类号: P642.2

Study on the risk assessment of geological disasters in alpine valley area: A case study in Aba County, Sichuan Province

  • 1.

    Technical Center for Geological Hazard Prevention and Control, CGS/Institute of Exploration Technology, CAGS, Chengdu, Sichuan　611734, China

  • 2.

    Chengdu Hydrogeology and Engineering Geology Center of Sichuan Bureau of Geology and Mineral Resources/Sichuan Huadi Construction Engineering Co. Ltd., Chengdu, Sichuan　610036, China

    摘要

  • 针对崩塌、滑坡和泥石流等灾种齐全的高山峡谷区，选取四川省阿坝县为研究区，采用多灾种耦合的评价思路，开展地质灾害危险性精细化评价。崩塌、滑坡等斜坡类灾害危险性评价以栅格为评价单元，泥石流灾害危险性评价以流域为评价单元。基于信息量模型和层次分析法，分别开展危险性评价，进而采用取大值的方法，获取研究区综合地质灾害危险性评价结果。研究表明，工作区综合地质灾害极高危险区、高危险区面积明显大于单灾种评价结果，极高危险区、高危险区主要位于崩塌、滑坡较发育的碎裂岩区域和极度易发的泥石流流域。针对高山峡谷区地质灾害危险性评价，多灾种耦合的评价思路能更合理的反映不同类型灾害在形态及空间上的差异，获取更精确的危险性评价结果。

    The geological hazard assessment was carried out by the evaluation train thought the study area of multiple disaster species coupling , which has a complete range of disasters such as collapse, landslide and debris flow. The evaluate unit of collapse, landslide and other slopes are grids and the debris flow disasters evaluate units are watershed, Based on the information model and analytic hierarchy process, the risk assessment is carried out respectively, then, the comprehensive geological disaster risk evaluation results of the study area were obtained by taking the method of large value. In the study area, the area of extremely high and high risk area of comprehensive geological disaster is obviously larger than that of the evaluation results of single hazard. The extremely high and high risk area is mainly located in the cataclastic rock area with relatively developed collapse and landslide and extremely prone debris flow basin. In view of the risk assessment of geological disasters in high mountains and valleys, the idea of dividing first and combining later can more reasonably reflect the morphological and spatial differences of different disaster types in the process of risk assessment, and obtain more accurate risk assessment results.

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  • 图 1  研究区地质灾害分布图

    Figure 1. 

    下载: 全尺寸图片 幻灯片

    图 2  地质灾害危险性评价技术路线图

    Figure 2. 

    下载: 全尺寸图片 幻灯片

    图 3  滑坡、崩塌危险性评价因子图

    Figure 3. 

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    图 4  滑坡、崩塌危险性评价图

    Figure 4. 

    下载: 全尺寸图片 幻灯片

    图 5  泥石流危险性评价指标因子图

    Figure 5. 

    下载: 全尺寸图片 幻灯片

    图 6  泥石流灾害危险性评价图

    Figure 6. 

    下载: 全尺寸图片 幻灯片

    图 7  研究区综合地质灾害危险性评价图

    Figure 7. 

    下载: 全尺寸图片 幻灯片

    表 1  崩塌、滑坡评价指标信息量表

    Table 1.  The evaluation index information scale of collapse and landslide

    因子区间信息量
    坡度/（°）0～10−2.2697
    10～20−1.2429
    20～300.7574
    30～500.4213
    >500.0812
    高程/m<33002.6673
    3300～37000.0276
    3700～4100−1.5253
    4100～4500−2.3652
    工程地质岩组第四系松散堆积层1.0828
    较软的千枚岩、板岩0.0000
    坚硬-半坚硬的石英砂岩、凝灰质粉砂岩−0.2585
    坚硬的花岗岩、石英闪长岩−0.8895
    斜坡结构类型松散堆积层土质斜坡1.0829
    顺向坡0.2555
    斜交坡-0.7319
    横交坡−0.2417
    逆向坡−0.6745
    距构造距离/m0～5001.6921
    500～10001.1808
    1000～15000.9655
    1500～20000.7052
    >2000−0.5296
    距水系距离/m0～2002.4620
    200～4001.2733
    400～6001.0352
    600～800−0.7252
    距道路距离/m0～2002.5407
    200～4002.4767
    400～6002.2700
    600～8001.8107
    >800−0.4365
    24小时最大
    降雨量/mm    		<20−0.2619
    20～25−0.0582
    25～300.1937
    >300.2271
    地震峰值
    加速度/g    		0.200.6574
    0.150.1816
    0.100.1053
    下载: 导出CSV

    表 2  构建A-B层判断矩阵

    Table 2.  A-B layer judgment matrix

    B1B2B3B4B5B6B7权重W1
    B111/2331/5350.413
    B221331/7320.045
    B31/31/311/31/71/230.576
    B41/31/3311/5320.329
    B557751510.105
    B61/31/321/31/5110.073
    B71/51/21/31/21110.259
    下载: 导出CSV

    表 3  崩塌、滑坡危易发性评价因子权重统计表

    Table 3.  weight statistics table of risk assessment factors of collapse and landslide

    评价指标B1B2B3B4B5B6B7
    权重0.4130.0450.5760.3290.1050.0730.259
    下载: 导出CSV

    表 4  泥石流灾害评价指标信息量统计表

    Table 4.  Statistical table of debris flow disaster assessment index information

    因子区间信息量
    流域面积/km2<22.7745
    2～51.7429
    5～100.8964
    10～200.2742
    >20−1.4672
    坡度/（°）0～10−2.2250
    10～200.1730
    20～30−0.4071
    30～500.5887
    >50−1.3470
    流域地形起伏度/m<6001.2871
    600～9000.2749
    900～1200−0.5489
    1200～1500−0.6350
    >1500−2.2932
    工程地质岩组一般土松散岩类(1)0.4190
    碳酸盐岩半坚硬-坚硬岩类(3)−0.1305
    碎屑岩半坚硬-坚硬岩类(4)−0.0440
    流域断层密度
    /（km·km−2)    		0−0.0405
    0～0.1−0.3192
    0.1～0.2−0.0562
    0.2～0.41.1638
    >0.43.0451
    流域滑坡、崩塌密度
    /（个·km−2)    		0−0.2771
    0～0.02−0.8640
    0.02～0.040.2370
    0.04～0.080.8731
    >0.081.3365
    水系密度/（km·km−2)0～0.11.6277
    0.1～0.3−1.1610
    0.3～0.5−0.9105
    0.5～0.7−0.2938
    >0.70.1380
    道路密度/（km·km−2)01.6539
    0～0.4−0.3312
    0.4～0.7−0.7134
    0.7～1.00.1333
    >1.01.1917
    植被覆盖率/%<300.1748
    30～440.8532
    44～48−0.0080
    48～52−0.7143
    >520.9825
    流域月累积
    降雨量/mm    		<1200.0571
    120～1500.0893
    150～2000.2741
    >2000.5109
    下载: 导出CSV

    表 5  泥石流易发性评价因子权重统计表

    Table 5.  The weight statistics table of debris flow evaluation factors

    评价指标B1B2B3B4B5B6B7B8B9
    权重0.2070.1650.130.0930.1080.1260.0850.0490.037
    下载: 导出CSV

    表 6  各类灾害危险性评价结果统计表

    Table 6.  The Statistical table of all kinds of disaster risk assessment results

    危险分级极高危险区高危险区中危险区低危险区
    斜坡类灾害评价结果23.68362.192467.937581.2
    泥石流灾害评价结果38.38250.121654.28492.3
    综合评价结果54.79382.252902.167095.8
    下载: 导出CSV
    • 参考文献(12)
  • [1]

    汪茜, 李广杰. 数量化理论在泥石流灾害预测预报中的应用—以吉林和龙市泥石流为例[J]. 中国地质灾害与防治学报,2006,17(2):85 − 88. [WANG Qian, LI Guangjie. Application of quantification theory in forecasting debris flows: An example of Helong City, Jilin Province[J]. The Chinese Journal of Geological Hazard and Control,2006,17(2):85 − 88. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-8035.2006.02.019

    WANG Qian, LI Guangjie. Application of quantification theory in forecasting debris flows: An example of Helong City, Jilin Province[J]. The Chinese Journal of Geological Hazard and Control, 2006, 17(2): 85-88. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-8035.2006.02.019

    [2]

    周国云, 陈光齐. 基于GIS和数量化理论Ⅱ的滑坡危险性预测[J]. 岩石力学与工程学报,2008,27(12):2494 − 2500. [ZHOU Guoyun, CHEN Guangqi. Landslide risk prediction based on coupling gis and second theory of quantification[J]. Chinese Journal of Rock Mechanics and Engineering,2008,27(12):2494 − 2500. (in Chinese with English abstract) doi: 10.3321/j.issn:1000-6915.2008.12.015

    ZHOU Guoyun, CHEN Guangqi. Landslide risk prediction based on coupling gis and second theory of quantification[J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 27(12): 2494-2500. (in Chinese with English abstract) doi: 10.3321/j.issn:1000-6915.2008.12.015

    [3]

    唐亚明, 张茂省, 李林, 等. 滑坡易发性危险性风险评价例析[J]. 水文地质工程地质,2011,38(2):125 − 129. [TANG Yaming, ZHANG Maosheng, LI Lin, et al. Discrimination to the landslide susceptibility, hazard and risk assessment[J]. Hydrogeology & Engineering Geology,2011,38(2):125 − 129. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-3665.2011.02.022

    TANG Yaming, ZHANG Maosheng, LI Lin, et al. Discrimination to the landslide susceptibility, hazard and risk assessment[J]. Hydrogeology & Engineering Geology, 2011, 38(2): 125-129. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-3665.2011.02.022

    [4]

    乔建平, 王萌, 吴彩燕. 基于概率方法的区域地质灾害风险防御工程效益评估[J]. 中国地质灾害与防治学报,2017,28(2):131 − 136. [QIAO Jianping, WANG Meng, WU Caiyan. Preventing engineering benefit evaluation of regional geological disaster risk based on probability method[J]. The Chinese Journal of Geological Hazard and Control,2017,28(2):131 − 136. (in Chinese with English abstract)

    QIAO Jianping, WANG Meng, WU Caiyan. Preventing engineering benefit evaluation of regional geological disaster risk based on probability method[J]. The Chinese Journal of Geological Hazard and Control, 2017, 28(2): 131-136. (in Chinese with English abstract)

    [5]

    范林峰, 胡瑞林, 曾逢春, 等. 加权信息量模型在滑坡易发性评价中的应用—以湖北省恩施市为例[J]. 工程地质学报,2012,20(4):508 − 513. [FAN Linfeng, HU Ruilin, ZENG Fengchun, et al. Application of weighted information value model to landslide susceptibility assessment: A case study of Enshi City, Hubei Province[J]. Journal of Engineering Geology,2012,20(4):508 − 513. (in Chinese with English abstract) doi: 10.3969/j.issn.1004-9665.2012.04.005

    FAN Linfeng, HU Ruilin, ZENG Fengchun, et al. Application of weighted information value model to landslide susceptibility assessment: A case study of Enshi City, Hubei Province[J]. Journal of Engineering Geology, 2012, 20(4): 508-513. (in Chinese with English abstract) doi: 10.3969/j.issn.1004-9665.2012.04.005

    [6]

    张春山, 张业成, 马寅生, 等. 区域地质灾害风险评价要素权值计算方法及应用—以黄河上游地区地质灾害风险评价为例[J]. 水文地质工程地质,2006,33(6):84 − 88. [ZHANG Chunshan, ZHANG Yecheng, MA Yinsheng, et al. Calculation method and application of the right-weighty value on geological hazards in region[J]. Hydrogeology & Engineering Geology,2006,33(6):84 − 88. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-3665.2006.06.021

    ZHANG Chunshan, ZHANG Yecheng, MA Yinsheng, et al. Calculation method and application of the right-weighty value on geological hazards in region[J]. Hydrogeology & Engineering Geology, 2006, 33(6): 84-88. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-3665.2006.06.021

    [7]

    牛瑞卿, 彭令, 叶润青, 等. 基于粗糙集的支持向量机滑坡易发性评价[J]. 吉林大学学报(地球科学版),2012,42(2):430 − 439. [NIU Ruiqing, PENG Ling, YE Runqing, et al. Landslide susceptibility assessment based on rough sets and support vector machine[J]. Journal of Jilin University (Earth Science Edition),2012,42(2):430 − 439. (in Chinese with English abstract)

    NIU Ruiqing, PENG Ling, YE Runqing, et al. Landslide susceptibility assessment based on rough sets and support vector machine[J]. Journal of Jilin University (Earth Science Edition), 2012, 42(2): 430-439. (in Chinese with English abstract)

    [8]

    叶潇潇, 钱德玲, 朱志鹏, 等. 基于组合赋权法的中巴公路奥依塔克至布伦口段泥石流危险性评价[J]. 水土保持通报,2018,38(1):246 − 251. [YE Xiaoxiao, QIAN Deling, ZHU Zhipeng, et al. Hazard assessment of debris flow at aoyitake-bulunkou section of China-Pakistan Highway based on combined weight method[J]. Bulletin of Soil and Water Conservation,2018,38(1):246 − 251. (in Chinese with English abstract)

    YE Xiaoxiao, QIAN Deling, ZHU Zhipeng, et al. Hazard assessment of debris flow at aoyitake-bulunkou section of China-Pakistan Highway based on combined weight method[J]. Bulletin of Soil and Water Conservation, 2018, 38(1): 246-251. (in Chinese with English abstract)

    [9]

    陈亮胜, 韦秉旭, 廖欢, 等. 膨胀土边坡非饱和渗流及渐进性破坏耦合分析[J]. 水文地质工程地质,2020,47(4):132 − 140. [CHEN Liangsheng, WEI Bingxu, LIAO Huan, et al. A coupling analysis of unsaturated seepage and progressive failure of an expansive soil slope[J]. Hydrogeology & Engineering Geology,2020,47(4):132 − 140. (in Chinese with English abstract)

    CHEN Liangsheng, WEI Bingxu, LIAO Huan, et al. A coupling analysis of unsaturated seepage and progressive failure of an expansive soil slope[J]. Hydrogeology & Engineering Geology, 2020, 47(4): 132-140. (in Chinese with English abstract)

    [10]

    牛全福, 陆铭, 李月锋, 等. 基于灰色关联与粗糙依赖度的甘肃兰州市区泥石流危险性评价[J]. 中国地质灾害与防治学报,2019,30(5):48 − 56. [NIU Quanfu, LU Ming, LI Yuefeng, et al. Hazard assessment of debris flow in Lanzhou City of Gansu Province based on methods of grey relation and rough dependence[J]. The Chinese Journal of Geological Hazard and Control,2019,30(5):48 − 56. (in Chinese with English abstract)

    NIU Quanfu, LU Ming, LI Yuefeng, et al. Hazard assessment of debris flow in Lanzhou City of Gansu Province based on methods of grey relation and rough dependence[J]. The Chinese Journal of Geological Hazard and Control, 2019, 30(5): 48-56. (in Chinese with English abstract)

    [11]

    孟凡奇, 李广杰, 秦胜伍, 等. 基于证据权法的泥石流危险度区划[J]. 吉林大学学报(地球科学版),2010,40(6):1380 − 1384. [MENG Fanqi, LI Guangjie, QIN Shengwu, et al. Zoning of debris flow hazard degree with weight-of-evidence method[J]. Journal of Jilin University (Earth Science Edition),2010,40(6):1380 − 1384. (in Chinese with English abstract)

    MENG Fanqi, LI Guangjie, QIN Shengwu, et al. Zoning of debris flow hazard degree with weight-of-evidence method[J]. Journal of Jilin University (Earth Science Edition), 2010, 40(6): 1380-1384. (in Chinese with English abstract)

    [12]

    刘力维, 程传周. 基于GIS的滑坡泥石流风险评估及其应用[J]. 地理空间信息,2014,12(3):8 − 10. [LIU Liwei, CHENG Chuanzhou. Landslide and debris flow risk assessment based on GIS and its application[J]. Geospatial Information,2014,12(3):8 − 10. (in Chinese with English abstract) doi: 10.11709/j.issn.1672-4623.2014.03.003

    LIU Liwei, CHENG Chuanzhou. Landslide and debris flow risk assessment based on GIS and its application[J]. Geospatial Information, 2014, 12(3): 8-10. (in Chinese with English abstract) doi: 10.11709/j.issn.1672-4623.2014.03.003

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收稿日期:  2022-02-08
修回日期:  2022-04-21
录用日期:  2022-05-09
刊出日期:  2022-06-25

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