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基于不同评价单元和灾害熵的泥石流危险性分析以白龙江流域武都段为例

李小龙, 宋国虎, 向灵芝, 罗亮, 唐良琴, 沈娜, 梁梦辉

李小龙, 宋国虎, 向灵芝, 罗亮, 唐良琴, 沈娜, 梁梦辉. 基于不同评价单元和灾害熵的泥石流危险性分析——以白龙江流域武都段为例[J]. 中国地质灾害与防治学报, 2021, 32(6): 107-115. DOI: 10.16031/j.cnki.issn.1003-8035.2021.06-13
引用本文: 李小龙, 宋国虎, 向灵芝, 罗亮, 唐良琴, 沈娜, 梁梦辉. 基于不同评价单元和灾害熵的泥石流危险性分析——以白龙江流域武都段为例[J]. 中国地质灾害与防治学报, 2021, 32(6): 107-115. DOI: 10.16031/j.cnki.issn.1003-8035.2021.06-13
Xiaolong LI, Guohu SONG, Lingzhi XIANG, Liang LUO, Liangqin TANG, Na SHEN, Menghui LIANG. Hazard analysis of debris flows based on different evaluation units and disaster entropy:A case study in Wudu section of the Bailong river basin[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(6): 107-115. DOI: 10.16031/j.cnki.issn.1003-8035.2021.06-13
Citation: Xiaolong LI, Guohu SONG, Lingzhi XIANG, Liang LUO, Liangqin TANG, Na SHEN, Menghui LIANG. Hazard analysis of debris flows based on different evaluation units and disaster entropy:A case study in Wudu section of the Bailong river basin[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(6): 107-115. DOI: 10.16031/j.cnki.issn.1003-8035.2021.06-13

基于不同评价单元和灾害熵的泥石流危险性分析——以白龙江流域武都段为例

基金项目: 第二次青藏高原综合科学考察项目(2019QZKK0902);两相物质组成对泥石流沉积物固结机理及承载特性的影响机制研究(51608083)
详细信息
    作者简介:

    李小龙(1996-),男,四川资阳人,硕士研究生,主要从事地质灾害防治方面的研究。E-mail:543274573@qq.com

    通讯作者:

    向灵芝(1980-),女,重庆人,副教授,博士,主要从事地质灾害防治方面的研究。E-mail:xlz1223xlz@sina.com

  • 中图分类号: P642.23

Hazard analysis of debris flows based on different evaluation units and disaster entropy:A case study in Wudu section of the Bailong river basin

  • 摘要: 白龙江流域为泥石流等地质灾害密集分布区。2020年8月由于强降雨激发,白龙江流域武都段发生了大规模的群发性泥石流灾害,造成严重损失。文章以白龙江流域甘肃省陇南市武都段(宕昌县两河口乡—武都区桔柑镇)为研究区,通过野外实地考察,选取流域面积、流域形状系数、平均坡度、沟谷密度、物源参照值(HI)、岩性、流域中心距活动断层距离、一小时最大降雨量、植被覆盖度作为泥石流危险性评价因子。基于灾害熵理论,分别以泥石流单沟和小流域单元作为评价单元,利用ArcGIS软件,进行区域泥石流危险性评价。分析结果表明,研究区内泥石流沟大多数都属于中、高危险性。致灾因子中岩性、物源参照值(HI)、距断层距离、植被覆盖度及平均坡度的权重最大,与实际考察结果一致。且以小流域单元作为评价单元的评价结果更符合研究区的泥石流发育情况。
    Abstract: The Bailong river basin is a densely distributed area of geological disasters such as debris flow. In August 2020, due to the stimulation of heavy rainfall, a large-scale group debris flow disaster occurred in Wudu section of Bailong river basin, causing serious losses. This paper takes the Wudu section (Lianghekou Township, Dangchang County to Jugan Town, Wudu District) of Longnan City in Gansu Province as the research area. Through field investigation, we selected the area of drainage basin, shape coefficient of basin, average slope, density of gully, reference value of material source (HI), lithology, distance between basin center and active fault, one hour maximum rainfall and vegetation coverage as debris flow hazard assessment factors. Taking single gully and small watershed units of debris flow as evaluation units, the regional debris flow hazard assessment is carried out by using ArcGIS software based on the theory of disaster entropy. The results show that most of the debris flows in the study area belong to medium and high hazard debris flow gullies. Some of the most heavily weighted disaster-causing factors like the weight of lithology, source reference value (HI), distance from fault, vegetation coverage and average slope are consistent with the actual investigation results. Moreover, the evaluation results of small watershed units are more consistent with the development of debris flow in the study area.
  • 图  1   研究区泥石流分布

    Figure  1.   Distribution of debris flow in the study area

    图  2   不同评价单元示例

    Figure  2.   Schematic diagram of evaluation unit

    图  3   评价因子分级图(泥石流沟为评价单元)

    Figure  3.   Grading of evaluation factors (debris flow gully as evaluation unit)

    图  4   泥石流沟危险性评价图(泥石流沟为评价单元)

    Figure  4.   Debris flow gully hazard assessment (debris flow gully as assessment unit)

    图  5   小流域评价因子分级图

    Figure  5.   Classification of evaluation factors in small watershed

    图  6   小流域危险性评价图

    Figure  6.   Hazard assessment of small watershed

    图  7   泥石流沟危险性评价图(小流域为评价单元)

    Figure  7.   Debris flow gully hazard assessment (small watershed as assessment unit)

    表  1   数据介绍

    Table  1   Data introduction

    序号数据来源
    1DEM数据http://www.gscloud.cn/
    2一小时最大降雨量甘肃省地质环境监测院
    3植被指数http://www.geodata.cn/
    4地质图中国地质力学所
    5遥感影像图新地球
    下载: 导出CSV

    表  2   研究区泥石流沟岩性分类表

    Table  2   Lithology classification of debris flow gully in study area

    岩性
    分类
    坚硬块状
    岩浆岩
    软弱中厚
    层碎屑岩
    坚硬中厚
    层碎屑岩
    松散软弱
    堆积层及
    冲洪积层
    较坚硬中
    厚层-厚层
    碳酸盐岩、
    薄层板岩、
    碎屑岩
    软弱-坚硬
    中厚层-
    厚层板岩、
    碎屑岩
    赋值1357810
    下载: 导出CSV

    表  3   泥石流沟危险性评价指标标准化分级表

    Table  3   Standardized classification table of debris flow gully hazard assessment index

    评价指标标准化赋值
    123
    流域面积/km2>10<33~10
    流域形状系数>1.51.3~1.5<1.3
    平均坡度/(°)0~2020~30>30
    沟谷密度/(km·km−2)<0.50.5~1>1
    HI<0.45>0.600.45~0.6
    岩性因子(DSF)<55~7>7
    距断层距离/km>31~3<1
    降雨/mm<3636~38>38
    NDVI>0.40.25~0.4<0.25
    下载: 导出CSV

    表  4   评价指标灾害熵及其权重

    Table  4   Evaluation index disaster entropy and its weight

    评价指标流域面积流域形状系数平均坡度沟谷密度物源参照值岩性距断层距离降雨量NDVI
    灾害熵12.99467012.96906513.50247612.94189914.53994914.70780713.84004512.42634413.758987
    信息效用值−11.994670−11.969065−12.502476−11.941899−13.539949−13.707807−12.840045−11.426344−12.758987
    评价指标的权重0.1064480.1062210.1109540.1059790.1201620.1216510.1139500.1014040.113231
    下载: 导出CSV

    表  5   评价指标灾害熵及其权重

    Table  5   Evaluation index disaster entropy and its weight

    评价指标流域面积流域形状系数平均坡度沟谷密度物源参照值岩性距断层距离降雨量NDVI
    灾害熵46.77709839.01553442.69433542.12704940.25430949.71708045.20285940.14596542.355624
    信息效用值−45.777098−38.015534−41.694335−41.127049−39.254309−48.717080−44.202859−39.145965−41.355624
    评价指标的权重0.1206920.1002280.1099270.1084320.1034940.1284430.1165410.1032090.109034
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-01-24
  • 修回日期:  2021-03-08
  • 网络出版日期:  2021-12-19
  • 刊出日期:  2021-12-28

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