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1.中国地质大学(武汉)环境学院,湖北 武汉430074
2.湖北省地质局第七地质大队,湖北 宜昌443100
Received:02 June 2022,
Revised:2022-07-11,
Published:15 December 2023
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闫家康,寇磊,曾斌等.基于有效降雨阈值的鄂西山区五峰集镇滑坡危险性评价[J].防灾减灾工程学报,2023,43(06):1405-1414.
YAN Jiakang,KOU Lei,ZENG Bin,et al.Landslide Hazard Assessment Based on Effective Rainfall Threshold in Wufeng Town, Western Hubei[J].Journal of Disaster Prevention and Mitigation Engineering,2023,43(06):1405-1414.
闫家康,寇磊,曾斌等.基于有效降雨阈值的鄂西山区五峰集镇滑坡危险性评价[J].防灾减灾工程学报,2023,43(06):1405-1414. DOI: 10.13409/j.cnki.jdpme.20220602002.
YAN Jiakang,KOU Lei,ZENG Bin,et al.Landslide Hazard Assessment Based on Effective Rainfall Threshold in Wufeng Town, Western Hubei[J].Journal of Disaster Prevention and Mitigation Engineering,2023,43(06):1405-1414. DOI: 10.13409/j.cnki.jdpme.20220602002.
五峰集镇地质环境背景条件复杂,特别在汛期降雨影响下滑坡地质灾害频发,因此开展五峰集镇滑坡空间预测评价和降雨阈值研究,不仅对研究区滑坡的防灾减灾具有实际指导意义,同时对基于降雨阈值的滑坡危险性评价方法研究也具备较好的参考价值。本文以降雨型滑坡多发的五峰集镇为例,利用地理探测器法准确选取研究区评价因子,综合层次分析模型与BP神经网络模型计算全区易发性指数,得到基于斜坡单元的滑坡易发性分区;同时,统计每个滑坡点的降雨历时及有效降雨强度,分析研究区滑坡的致灾雨型,绘制诱发鄂西山区滑坡灾害发生的临界降雨
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‑
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阈值曲线,得到设计工况下的时间概率;综合易发性分区和时间概率得到基于有效降雨阈值的鄂西山区五峰集镇滑坡危险性分区图。研究结果表明:五峰集镇滑坡高和极高易发区占研究区总面积的27.12%,主要分布于研究区大型河流两岸;五峰集镇滑坡发生10%、50%、75%概率的阈值曲线分别为
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;五峰集镇滑坡高和极高危险区占研究区总面积的19.33%,主要分布于研究区中部及东南部河流两岸。本文所构建的五峰集镇滑坡危险性评价体系,以及适用于鄂西山区的基于降雨阈值滑坡危险性评价方法,能够为山区地质灾害防控以及危险性评价研究的不断完善提供有益参考。
Given the complex geological environment conditions, especially for frequent rainfall-induced landslide events during the flood season, the landslide spatial prediction assessment and rainfall threshold in Wufeng town was performed. This study provides for practical guide to the landslide disaster prevention and mitigation in the study area, and the landslide risk assessment method based on rainfall threshold. This paper focused on the Wufeng town that is prone to landslides induced by rainfall. The evaluation factors of the study area were selected by using the geographical detector method. The susceptibility index of the whole area was calculated by combining the AHP with BP neural network models, and the landslide susceptibility zoning based on slope units was obtained. Simultaneously, the rainfall duration and effective rainfall intensity of each landslide were counted, the rainfall regimes that trigger landslide hazards in the study area was thus analyzed, and the
I
-
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threshold curve of critical rainfall triggering landslides in the mountainous area of western Hubei was mapped to obtain the temporal probability under design conditions. The landslide hazard zoning map of the town in western Hubei based on effective rainfall threshold was obtained by combining the susceptibility zoning and time probability. The results show that the high and extremely high landslide prone areas in the town account for 27.12% of the total area, which are mainly distributed on the banks of large rivers in the study area. The threshold curves of 10%, 50% and 75% probability of landslide occurrence in the town are
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. The high and extremely high risk areas of landslide in the town account for 19.33% of the total area, which are mainly distributed in the middle and southeast of the study area. The landslide risk assessment system and method based on rainfall threshold proposed in this paper, can provide useful reference for the prevention and control of geological disasters in mountainous areas.
郑孝玉 . 滑坡预报研究方法综述 [J]. 世界地质 , 2000 , 19 ( 4 ): 370 ‑ 374 .
Zheng X Y . Summary on the methods of prediction to landslide [J]. World Geology , 2000 , 19 ( 4 ): 370 ‑ 374 . (in Chinese)
李媛 , 孟晖 , 董颖 , 等 . 中国地质灾害类型及其特征—基于全国县市地质灾害调查成果分析 [J]. 中国地质灾害与防治学报 , 2004 , 15 ( 2 ): 32 ‑ 37 .
Li Y , Meng H , Dong Y , et al . Main types and characterisitics of geo‑hazard in China—Based on the results of geo‑hazard survey in 290 counties [J]. The Chinese Journal of Geological Hazard and Control , 2004 , 15 ( 2 ): 32 ‑ 37 . (in Chinese)
殷坤龙 , 张桂荣 , 陈丽霞 , 等 . 滑坡灾害风险分析 [M]. 北京 : 科学出版社 , 2010 .
Yin K L , Zheng G R , Chen L X , et al . Risk analysis of landslide disaster [M]. Beijing : Science Publishing House , 2010 . (in Chinese)
王丽丽 , 刘君 , 王国新 . 滑坡危险性等级区划方法研究 [J]. 防灾减灾工程学报 , 2013 , 33 ( 6 ): 663 ‑ 670 .
Wang L L , Liu J , Wang G X . Study on the method of landslide hazard rank division [J]. Journal of Disaster Prevention and Mitigation Engineering , 2013 , 33 ( 6 ): 663 ‑ 670 . (in Chinese)
Zi Z G , Yu S , Fa M H , et al . Landslide susceptibility zonation method based on C5.0 decision tree and K‑means cluster algorithms to improve the efficiency of risk management [J]. Geoscience Frontiers , 2021 , 12 ( 6 ): 249 ‑ 267 .
郭子正 , 殷坤龙 , 付圣 , 等 . 基于GIS与WOE‑BP模型的滑坡易发性评价 [J]. 地球科学 , 2019 , 44 ( 12 ): 4299 ‑ 4312 .
Guo Z Z , Yin K L , Fu S , et al . Evaluation of landslide susceptibility based on GIS and WOE‑BP model [J]. Earth Science , 2019 , 44 ( 12 ): 4299 ‑ 4312 . (in Chinese)
樊芷吟 , 苟晓峰 , 秦明月 , 等 . 基于信息量模型与Logistic回归模型耦合的地质灾害易发性评价 [J]. 工程地质学报 , 2018 , 26 ( 2 ): 340 ‑ 347 .
Fan Z Y , Guo X F , Qing M Y , et al . Information and logistic regression models based coupling analysis for susceptibility of geological hazards [J]. Journal of Engineering Geology , 2018 , 26 ( 2 ): 340 ‑ 347 . (in Chinese)
Kritikos T , Davies T . Assessment of rainfall‑generated shallow landslide/debris‑flow susceptibility and runout using a GIS‑based approach; application to western Southern Alps of New Zealand [J]. Landslides , 2015 , 12 ( 6 ): 1051 ‑ 1075 .
朱良峰 , 殷坤龙 , 张梁 , 等 . 基于GIS技术的地质灾害风险分析系统研究 [J]. 工程地质学报 , 2002 , 10 ( 4 ): 428 ‑ 433 .
Zhu L F , Yin K L , Zhang L , et al . Risk analysis system of geo‑hazards by using GIS technology [J]. Journal of Engineering Geology , 2002 , 10 ( 4 ): 428 ‑ 433 . (in Chinese)
Montgomery D R , Dietrich W E . A physically based model for the topographic control on shallow landsliding [J]. Water Resources Research , 1994 , 30 ( 4 ): 1153 ‑ 1171 .
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 Z Z , Yin K L , Hang F M , 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)
陈洪凯 , 魏来 , 谭玲 . 降雨型滑坡经验性降雨阈值研究综述 [J]. 重庆交通大学学报(自然科学版) , 2012 , 31 ( 5 ): 990 ‑ 996 .
Chen H K , Wei L , Tan L . Review of research on empirical rainfall threshold of rainfall‑induced landslide [J]. Journal of Chongqing Jiaotong University (Natural Science) , 2012 , 31 ( 5 ): 990 ‑ 996 . (in Chinese)
李巍岳 , 刘春 , Scaioni Marco , 等 . 基于滑坡敏感性与降雨强度‑历时的中国浅层降雨滑坡时空分析与模拟 [J]. 中国科学:地球科学 , 2017 , 47 ( 4 ): 473 ‑ 484 .
Li W Y , Liu C , Scaioni M , et al . Spatio‑temporal analysis and simulation on shallow rainfall‑induced landslides in China using landslide sensitivity dynamics and rainfall I‑D thresholds [J]. Science China Earth Sciences , 2017 , 47 ( 4 ): 473 ‑ 484 . (in Chinese)
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 H , Song E X . Rainfall thresholds for regional landslides [J]. Journal of Jilin University(Earth Science Edition) , 2011 , 41 ( 5 ): 1481 ‑ 1487 . (in Chinese)
Guzzetti F , Peruccacci S , Rossi M , et al . Rainfall thresholds for the initiation of landslides in Central and Southern Europe [J]. Meteorology and Atmospheric Physics , 2007 , 98 ( 3/4 ): 239 ‑ 267 .
谢剑明 . 降雨对滑坡灾害的作用规律研究 [M]. 武汉 : 中国地质大学 , 2004 .
Xie J M . Study on the effect of rainfall on landslide disaster [M]. Wuhan : China University of Geosciences , 2004 . (in Chinese)
Starkel L . The role of extreme meteorological events in the shaping of mountain relief [J]. Geographica Polonica , 1979 , 41 : 13 ‑ 20 .
Caine . The rainfall intensity: duration control of shallow landslides and debris flows [J]. Geografiska Annaler Series A‑Physical Geography , 1980 , 62 ( 1/2 ): 23 ‑ 27 .
王劲峰 , 徐成东 . 地理探测器:原理与展望 [J]. 地理学报 , 2017 , 72 ( 1 ): 116 ‑ 134 .
Wang J F , Xu C D . Geodetector: principle and prospective [J]. Acta Geographical Sinica , 2017 , 72 ( 1 ): 116 ‑ 134 . (in Chinese)
闻新 . 应用MATLAB实现神经网络 [M]. 北京 : 国防工业出版社 , 2015 : 95 .
Wen X . Application of MATLAB neural network [M]. Beijing : National Defense Industry Press , 2015 : 95 . (in Chinese)
黄晓虎 , 雷德鑫 , 夏俊宝 , 等 . 降雨诱发滑坡阶跃型变形的预测分析及应用 [J]. 岩土力学 , 2019 , 40 ( 9 ): 3585 ‑ 3592 .
Huang X H , Lei D X , Xia J B , et al . Forecast analysis and application of stepwise deformation of landslide induced by rainfall [J]. Rock and Soil Mechanics , 2019 , 40 ( 9 ): 3585 ‑ 3592 . (in Chinese)
Crozier M J . Landslides:causes,consequences andenvironment [M]. London : Croom Helm , 1986 .
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