地表过程研究

灰色理论在舟曲南屿沟泥石流灾害危险性评价中的应用研究

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  • 1陕西理工大学土木工程与建筑学院,陕西汉中7230012武汉工程大学土木工程与建筑学院,湖北武汉4300733信息产业部电子综合勘察研究院, 陕西西安710054
郭光玲(1973-),女,陕西城固人,副教授,硕士生导师,主要从事建筑结构抗震加固研究. E-mail:ggl750320@126.com

收稿日期: 2018-05-11

  修回日期: 2019-10-29

  网络出版日期: 2020-01-05

基金资助

陕西省2018年重点研发计划项目(2018ZDXMSF024);陕西省教育厅2019年度专项科学研究计划(19JK0185

灰色理论在舟曲南屿沟泥石流灾害危险性评价中的应用研究

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  • 1 School of Civil Engineering and Architecture,Shaanxi University of Technology,Hanzhong 723001,Shaanxi,China; 2 School of Civil Engineering and Architecture,Wuhan Institute of Technology,Wuhan 430073,Hubei,China; 3 China Electronic Research Institute of Engineering Investigations and Design,Xi an 710054,Shaanxi,China

Received date: 2018-05-11

  Revised date: 2019-10-29

  Online published: 2020-01-05

摘要

为分析不同因素对泥石流灾害危险性的影响程度,基于对舟曲南屿沟泥石流灾害影响因素调查结果总结和分析,利用灰色理论分析了泥石流灾害危险性与影响因素间关联程度,并建立了其预判模型。结果表明:沟岸坡度、沟道堵塞程度及冲淤变幅,沟道平均纵坡降和长度,沟道内植被覆盖率、流域面积及人口密度,松散固体物源量和灾害点密度等因素的影响程度较接近;相同区域内不同沟道泥石流灾害危险性程度受沟岸坡度、沟道堵塞程度、冲淤变幅、沟道平均纵坡降及长度等因素影响显著;基于自然和人为因素建立了泥石流灾害易发程度预估模型,其能够为区域内泥流灾害防治工作部署提供依据。

本文引用格式

郭光玲, 郭瑞, 顾箭峰, 李军, 郭鸿, 陈能远 . 灰色理论在舟曲南屿沟泥石流灾害危险性评价中的应用研究[J]. 干旱区地理, 2020 , 43(1) : 20 -26 . DOI: 10.12118/j.issn.1000-6060.2020.01.03

Abstract

This paper focused on analyzing the vulnerability degree on debris flow hazards, which is affected by various environmental factors. The correlation degree between different influencing factors and debris flow disaster susceptibility were studied using grey correlation analysis based on the analysis and summary of the field survey results on influencing factors for debris flow hazards in different debris flow gullies of Nanyu in Zhouqu County, Gansu Province, China which included the August 8 large debris flow disaster instance. The results show that the susceptibility of debris flow disaster is relatively similar for the factors such as bank slope, channel blockage, and scouring range, the slope gradient and length of channel, vegetation, drainage area, and population density, solid matter source and geological hazards points density. For the different gullies in the same area, the hazard level of the debris flow disaster is impacted significantly by the bank slope, the channel blockage, the scouring range, the slope gradient, and the channel length. The model can predict the vulnerability of debris flow and provide important information in the hazard prevention and control.

参考文献

[1]王士革,范晓岭.低频率泥石流灾害及工程防治[J].山地学报,2006,24(5):562-568.[WANG Shige,FAN Xiaoling.The hazards and engineering control of low frequecy debris flow[J].Journal of Mountain Science,2006,24(5):562-568.] [2]郭瑞,马富存,郭一兵,等.基于层次分析法的泥石流易发性评价[J].东华理工大学学报(自然科学版),2016,39(4):347-351.[GUO Rui,MA Fucun,GUO Yibin,et al.Debris flow evaluation of occurrence easiness based on AHP[J].Journal of East China University of Technology,2016,39(4):347-351.] [3]史明远,丁桂伶,陈剑平,等.基于博弈论和K均值的北京山区小流域综合敏感性评价[J].工程地质学报,2015,23(4):790-794.[SHI Mingyuan,DING Guiling,CHEN Jianping,et al.Game theory and K means algorithm based comprehensive susceptibility analysis of catchments for debris flows in mountainous area of Beijing[J].Journal of Engineering Geology,2015,23(4):790-794.] [4]周纵横,任光明,许英杰,等.汶川震区清平乡绵远河流域泥石流发育特征分析[J].中国地质灾害与防治学报,2017,28(1):30-35.[ZHOU Zongheng,REN Guangming,XU Yingjie,et al.Characteristics of the debris flow in Qingping country of Mianyuan River Basin,epicenter Wenchuan earthquake[J].The Chinese Journal of Geological Hazard and Control,2017,28(1):30-35.] [5]曹禄来,徐林荣,陈舒阳,等.基于模糊神经网络的泥石流易发性评价[J].水文地质工程地质,2014,41(2):144-147.[CAO Lulai,XU Linrong,CHEN Shuyang,et al.Assessment of debris flow hazard based on fuzzy network[J].Hydrogeology & Engineering Geoloogy,2014,41(2):144-147.] [6]陈伟,任光明,左三胜.泥石流危险度的模糊综合评判[J].水土保持研究,2006,13(2):138-139.[CHEN Wei,REN Guangming,ZUO Sansheng.Fuzzy comprehensive evaluation method to judge dangerous degree of debris flow[J].Research of Soil and Water Conservation,2006,13(2):138-139.] [7]路遥,徐林荣,陈舒阳,等.基于博弈论组合赋权的泥石流易发性评价[J].灾害学,2014,29(1):194-200.[LU Yao,XU Linrong,CHEN Shuyang,et al.Combined weight method based on game theory for debris flow hazard risk assessment[J].Journal of Catastrophology,2014,29(1):194-200.] [8]MARTIN Y E,JOHNSON E A,CHAIKINA O.Gully recharge rates and debris flows:A combined numerical modeling and field-based investigation,Haida Gwaii,British Columbia[J].Geomorphology,2016,278(1):252-268. [9]NI H Y.Experimental study on initiation of gully-type debris flow based on artificial rainfall and channel runoff[J].Environmental Earth Sciences,2015,73(10):6213-6227. [10]冯逸,张诚,陈永云.灰色关联理论在泡沫温拌沥青生产关键参数优选中的应用研究[J].贵州大学学报(自然科学版),2014,31(2):119-123.[FENG Yi,ZHANG Cheng,CHEN Yongyun.The optimization studies of foam warm mix asphalt production critical parameter based on gray relative theory[J].Journal of Guizhou University (Natural Science Edition),2014,31(2):119-123.] [11]符小阳,李家盛,余剑英.环境因素对车辙影响的灰色关联度分析[J].交通科技,2018,286(1):87-90.[FU Xiaoyang,LI Jiasheng,YU Jianying.The grey relational analysis of external factors on rutting formation[J].Transporation Science & Technology,2018,286(1):87-90.] [12]DZ/T 0220—2006.泥石流灾害防治工程勘查规范[S]. DZ/T 0220—2006.Specification of geological investigation for debris flow stabilization[S]. [13]刘建威,钟泽湘.基于改进灰色GM(1,1)模型的高速公路路基沉降预测[J].铁道科学与工程学报,2015,12(6):1369-1373.[LIU Jianwei,ZHONG Zexiang.Prediction of expressway subgrade settlement based on animproved gray prediction model[J].Journal of Railway Science and Engineering,2015,12(6):1369-1373.]
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