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基于栅格最大值法的县域综合地质灾害建模

范雅婕 范宣梅 方成勇

范雅婕, 范宣梅, 方成勇. 基于栅格最大值法的县域综合地质灾害建模[J]. 地质科技通报, 2022, 41(2): 197-208. doi: 10.19509/j.cnki.dzkq.2022.0046
引用本文: 范雅婕, 范宣梅, 方成勇. 基于栅格最大值法的县域综合地质灾害建模[J]. 地质科技通报, 2022, 41(2): 197-208. doi: 10.19509/j.cnki.dzkq.2022.0046
Fan Yajie, Fan Xuanmei, Fang Chengyong. County comprehensive geohazard modelling based on the grid maximum method[J]. Bulletin of Geological Science and Technology, 2022, 41(2): 197-208. doi: 10.19509/j.cnki.dzkq.2022.0046
Citation: Fan Yajie, Fan Xuanmei, Fang Chengyong. County comprehensive geohazard modelling based on the grid maximum method[J]. Bulletin of Geological Science and Technology, 2022, 41(2): 197-208. doi: 10.19509/j.cnki.dzkq.2022.0046

基于栅格最大值法的县域综合地质灾害建模

doi: 10.19509/j.cnki.dzkq.2022.0046
详细信息
    作者简介:

    范雅婕(1997—),女,现正攻读地质工程专业硕士学位,主要从事地质灾害风险评价与防治研究。E-mail: 779232340@qq.com

    通讯作者:

    范宣梅(1981—),女,研究员,博士生导师,主要从事遥感和地理信息系统在地质学科中的应用研究、地质灾害风险评价与防治研究。E-mail: 18202308@qq.com

  • 中图分类号: X84

County comprehensive geohazard modelling based on the grid maximum method

  • 摘要: 四川省地形高低悬殊, 岩性构造发育, 各类地质灾害频发, 开展地质灾害易发性评价具有重要意义。崩塌、泥石流属于广义上的滑坡, 以四川省丹巴县为例, 从考虑不同滑坡类别的区域性地质灾害易发性出发综合考虑崩塌、滑坡、泥石流的空间概率分布。基于ArcGIS通过高精度数字高程模型共选取高程、坡度等10个地质灾害关键控制因素, 采用信息量模型对综合地质灾害进行了易发性评价。最终通过ArcGIS的单元统计(Cell Statistics)功能实现多个栅格图层最大值法合成综合易发性, 进一步利用受试者工作特征曲线(ROC)验证单种滑坡类别易发性模型的精度。按照自然断点法将研究区划分为极低、低、中、高、极高易发区, 高易发区和极高易发区主要集中分布在章谷镇、太平桥乡以及甲居镇等地。研究结果证明信息量模型能对单类地质灾害进行评价, 栅格最大值法是获取综合易发性的一种有效评价方法。

     

  • 图 1  丹巴县地质灾害概况

    Figure 1.  Overview of the geohazards in Danba County

    图 2  丹巴县崩塌灾害易发性评价因子图

    Figure 2.  Factor chart of susceptibility evaluation of rockfalls in Danba County

    图 3  丹巴县滑坡灾害易发性评价因子图

    Figure 3.  Factor chart of susceptibility evaluation of landslides in Danba County

    图 4  丹巴县泥石流灾害易发性评价因子图

    Figure 4.  Factor chart of susceptibility evaluation of debris flows in Danba County

    图 5  崩塌因子柱状图

    (图中R3因子由于分级数太多只能相间列出,具体见表 1)

    Figure 5.  Factor histogram of rockfall

    图 6  滑坡因子柱状图

    (图中因子L3、L4因分级数太多只能相间列出,具体分级见表 2)

    Figure 6.  Factor histogram of landslide

    图 7  泥石流因子柱状图

    Figure 7.  Factor histogram of debris flow

    图 8  丹巴县崩塌灾害易发性分区

    Figure 8.  Subdivision of rockfall susceptibility in Danba County

    图 9  丹巴县崩塌易发性评价ROC曲线

    Figure 9.  ROC curve of rockfall susceptibility evaluation in Danba County

    图 10  丹巴县滑坡灾害易发性分区

    Figure 10.  Subdivision of landslide susceptibility in Danba County

    图 11  丹巴县滑坡易发性评价ROC曲线

    Figure 11.  ROC curve of landslide susceptibility evaluation in Danba County

    图 12  丹巴县泥石流灾害易发性分区

    Figure 12.  Subdivision of debris flow susceptibility in Danba County

    图 13  丹巴县泥石流易发性评价ROC曲线

    Figure 13.  ROC curve of debris flow susceptibility evaluation in Danba County

    图 14  丹巴县综合地质灾害易发性分区

    Figure 14.  Subdivision of comprehensive susceptibility in Danba County

    图 15  丹巴县综合地质灾害易发性评价ROC曲线

    Figure 15.  ROC curve of comprehensive susceptibility evaluation in Danba County

    表  1  丹巴县崩塌灾害易发性评价因子信息量(I)统计

    Table  1.   Information content statistics of rockfall susceptibility evaluation factors in Danba County

    高程/m < 1 800 [1 800, 2 000) [2 000, 2 200) [2 200, 2 500) [2 500, 3 000) [3 000, 3 500) [3 500, 4 000) [4 000, 4 500) [4 500, 5 000) [5 000, 5 409]
    I 0.45 1.00 0.93 0.74 0.57 0.13 0.00 0.45 0.45 0.45
    坡度/(°) < 10 [10, 20) [20, 30) [30, 35) [35, 40) [40, 45) [45, 50) [50, 55) [55, 60] >60
    I 0.01 0.34 0.42 0.43 0.57 0.80 0.84 0.85 0.20 0.10
    岩性 半坚硬中厚层状变质岩 坚硬中厚层状变质岩 坚硬花岗岩 坚硬碳酸盐岩 松散堆积岩
    I 0.36 0.26 0.14 0.35 0.99
    NDVI < 0.2 0.40 0.6 0.8 1.0
    I 0.68 1.00 0.51 0.23 0
    距断层距离/km [0, 1) [1, 2) [2, 3) [3, 4) [4, 5) [5, 6) [6, 7) [7, 8) [8, 9) [9, 10)
    I 0.94 0.90 0.78 0.66 0.68 0.10 0.48 0.65 0.56 0.49
    距断层距离/km [10, 11) [11, 12) [12, 13) [13, 14) [14, 15) [15, 16) [16, 17) [17, 18) [18, 19) [19, 20]
    I 0.26 0.31 0.26 0 0.10 0.10 0 0 0 0
    曲率 < -5 [-5, -2) [-2, -1) [-1, -0.5) [-0.5, 0] [0, 0.5) [0.5, 1) [1, 2) [2, 5] >5
    I 1.00 0.83 0.19 0.39 0.31 0.33 0.14 0.13 0 0.32
    下载: 导出CSV

    表  2  丹巴县滑坡灾害易发性评价因子信息量(I)统计

    Table  2.   Information content statistics of landslide susceptibility evaluation factors in Danba County

    高程/m < 1 800 [1 800, 2 000) [2 000, 2 200) [2 200, 2 500) [2 500, 3 000) [3 000, 3 500) [3 500, 4 000) [4 000, 4 500) [4 500, 5 000) [5 000, 5 409]
    I 0.62 1.00 0.94 0.89 0.83 0.52 0.18 0 0.62 0.62
    坡度/(°) < 10 [10, 20) [20, 30) [30, 35) [35, 40) [40, 45) [45, 50) [50, 55) [55, 60] >60
    I 0.60 0.92 1.00 0.90 0.74 0.61 0.47 0 0 0.10
    距河流距离/km < 0.5 [0.5, 1.0) [1.0, 1.5) [1.5, 2) [2, 3) [3, 4) [4, 5) [5, 6) [6, 7) [7, 8)
    I 0.99 0.95 0.83 0.82 0.76 0.58 0.44 0.46 0 0.62
    距河流距离/km [8, 9) [9, 10) [10, 11) [11, 12) [12, 13) [13, 14) [14, 15) [15, 20) [20, 24]
    I 0.62 0.62 0.33 0.11 0.62 0.62 0.62 0.62 0.62
    土地利用类型 旱地 灌木 经济作物 林地 建筑用地 工矿企业 其他 道路 河流水面 草地 设施农用
    I 0.66 0.54 0.93 0.36 1.00 0 0 0.90 0 0 0
    距断层距离/km [0, 1) [1, 2) [2, 3) [3, 4) [4, 5) [5, 6) [6, 7) [7, 8) [8, 9) [9, 10)
    I 0.95 0.94 0.78 0.73 0.71 0 0.64 0.63 0.71 0.62
    距断层距离/km [10, 11) [11, 12) [12, 13) [13, 14) [14, 15) [15, 16) [16, 17) [17, 18) [18, 19) [19, 20]
    I 0.63 0.59 0.56 0.54 0.26 0.24 0.15 0 0 0
    岩性 半坚硬中厚层状变质岩 坚硬中厚层状变质岩 坚硬花岗岩 坚硬碳酸盐岩 松散堆积岩
    I 0.65 0.32 0 0.72 1.00
    下载: 导出CSV

    表  3  丹巴县泥石流灾害易发性评价因子信息量(I)统计

    Table  3.   Information content statistics of the debris flow susceptibility evaluation factors in Danba County

    高程/m < 1 800 [1 800, 2 000) [2 000, 2 200) [2 200, 2 500) [2 500, 3 000) [3 000, 3 500) [3 500, 4 000) [4 000, 4 500) [4 500, 5 000) [5 000, 5 409]
    I 0.59 1.00 0.93 0.90 0.77 0.45 0.26 0 0.59 0.59
    坡度/(°) < 10 [10, 20) [20, 30) [30, 35) [35, 40) [40, 45) [45, 50) [50, 55) [55, 60] >60
    I 1.00 0.70 0.24 0.25 0.19 0.12 0.02 0.10 0 0.17
    TWI [2.9, 6.7) [6.7, 7.7) [7.7, 8.5) [8.5, 9.3) [9.3, 10.3) [10.3, 11.6) [11.6, 13.4) [13.4, 22.5)
    I 0.12 0 0.23 0.39 0.51 0.57 0.81 1.00
    SPI < 1 [1, 2) [2, 3) [3, 4) [4, 5) [5, 6) [6, 7) [7, 8)
    I 0.62 0.62 0.33 0.11 0.62 0.62 0.62 0.62
    岩性 半坚硬中厚层状变质岩 坚硬中厚层状变质岩 坚硬花岗岩 坚硬碳酸盐岩 松散堆积岩
    I 0.66 0.54 0.93 0.36 1.00
    下载: 导出CSV
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  • 收稿日期:  2021-06-07

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