Please wait a minute...
浙江大学学报(工学版)
浙江大学学报(工学版)  2018, Vol. 52 Issue (9): 1667-1675    DOI: 10.3785/j.issn.1008-973X.2018.09.006
土木与水利工程     
斜坡单元支持下区域泥石流危险性AHP-RBF评价模型
黄启乐1,2, 陈伟1, 傅旭东1
1. 武汉大学 土木建筑工程学院, 湖北 武汉 430072;
2. 中国建筑五局投资管理公司, 湖南 长沙 410004
AHP-RBF assessment model of regional debris flow hazard supported by unit slope
HUANG Qi-le1,2, CHEN Wei1, FU Xu-dong1
1. School of Civil Engineering, Wuhan University, Wuhan 430072, China;
2. The investment Management Company of China Construction Fifth Engineering Division Co. Ltd, Changsha 410004, China
 全文: PDF(25721 KB)   HTML
摘要：

通过分析目前区域泥石流危险性评价研究中评价单元、指标体系及其提取方法、评价模型3个关键内容对评价结果的影响，将斜坡单元作为区域泥石流灾害评价的基础评价单元并提出斜坡单元的自动定量划分方法；提出区域泥石流危险性评价的指标体系（即斜坡面积、主沟长度、斜坡相对高差、平均坡度、斜坡切割密度、平均主沟坡降、植被覆盖率、地层岩性共8个指标），并通过GIS技术提取指标体系；提出区域泥石流危险性评价的APH-RBF神经网络评价模型.以湖北省神农架林区灾害防治示范区木鱼镇为研究对象，采用已查明的泥石流灾害点的位置资料，验证本模型评价结果的合理性，为示范区的防灾减灾及村镇规划提供参考.
Abstract:

The slope unit was presented taking as the basic assessment unit and automatic quantitative zoning method of slope unit was offered by analyzing the influence of the three important indexes:assessment unit, index system and its extraction methods, assessment models on the hazard assessment of regional debris flow. Index system for regional debris flow hazard assessment was put forward, including slope area, main gully length, slope surface relative relief, average slope, slope cutting density, main ditch slope ratio, vegetation coverage, formation lithology, which was extracted by GIS. APH-RBF neural network model was built to assess hazard of regional debris flow. The proposed method was applied in a slope analysis in Muyu, Shennongjia Forestry District, China. The results of the assessment model was verified by using the position information of debris flow points, which illustrates the reasonability of the proposed model that provides a reference for the demonstration area of hazard prevention and mitigation and town planning.
收稿日期: 2017-07-14 出版日期: 2018-09-20
CLC:  TU42  
基金资助:

国家科技支撑计划课题资助项目（2014BAL05B07）
通讯作者: 傅旭东,男,教授,博导.     E-mail: 傅旭东,男,教授,博导.E-mail:xdfu@whu.edu.cn
作者简介: 黄启乐(1992-),男,硕士生,从事地质灾害评价及桩基工程研究.orcid.org/0000-0002-2411-5043.E-mail:huang-ican@whu.edu.cn
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
作者相关文章　　

引用本文:

黄启乐, 陈伟, 傅旭东. 斜坡单元支持下区域泥石流危险性AHP-RBF评价模型[J]. 浙江大学学报(工学版), 2018, 52(9): 1667-1675.

HUANG Qi-le, CHEN Wei, FU Xu-dong. AHP-RBF assessment model of regional debris flow hazard supported by unit slope. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2018, 52(9): 1667-1675.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2018.09.006    或    http://www.zjujournals.com/eng/CN/Y2018/V52/I9/1667

[1] 张杰坤. 泥石流研究综述[J]. 中国地质灾害与防治学报, 1994, 5(4):18-8 ZHANG Jie-kun. Summary on debris flow research[J]. The Chinese Journal of Geological Hazard and Control, 1994, 5(4):18-8
[2] 余斌, 杨永红, 苏永超, 等. 甘肃省舟曲8.7特大泥石流调查研究[J]. 工程地质学报, 2010, 18(4):437-444 YU bin, YANG Yong-hong, SU Yong-chao, et al. Research on the giant debris flow hazards in Zhouqu county, Gansu province on August 7, 2010[J]. Journal of Engineering Geology, 2010, 18(4):437-444
[3] GUZZETTI F, CARRARA A, CARDINALI M, et al. Landslide hazard evaluation:a review of current techniques and their application in a multi-scale study, Central Italy[J]. Geomorphology, 1999, 31(1-4):181-216.
[4] 杜国梁, 高金川, 胡新丽. 基于GIS和组合赋权的岷县板达沟泥石流危险性评价[J]. 自然灾害学报, 2014, 23(4):235-24 DU Guo-liang, GAO Jin-chuan, HU Xin-li. Debris flow hazard assessment of banda gully in Minxian County based on GIS and combination weighting method[J]. Journal of Natural Disasters, 2014, 23(4):235-24
[5] 王晓朋, 潘懋, 徐岳仁. 基于流域单元的泥石流区域危险性评价[J]. 山地学报, 2006, 24(2):177-180 WANG Xiao-ming, PAN Mao, XU Yue-ren. Debris Flow Hazard Zonation Based on Cathment-unit[J]. Journal of Mountain Science, 2006, 24(2):177-180
[6] 刘希林, 唐川. 泥石流危险性评价[M]. 北京:科学出版社, 1995:5-19..
[7] LIU H C, GU X Z. Hazard assessment of debris flow along highway based on extension AHP[J]. Chinese Journal of Geological Hazard & Control, 2010, 21(3):61-66.
[8] 沈简, 饶军, 傅旭东. 基于模糊综合评价法的泥石流风险评价[J]. 灾害学, 2016, 31(2):171-175 SHEN Jian, RAO Jun, FU Xu-dong. Assessment on debris flow risk based on fuzzy comprehensive evaluation method[J]. Journal of Catastrophology, 2016, 31(2):171-175
[9] 谷天峰, 王家鼎, 付新平. 基于斜坡单元的区域斜坡稳定性评价方法[J]. 地理科学, 2013, 33(11):1400-1405 GU Tian-feng, WANG Jia-ding, FU Xin-ping. Regional slope stability analysis method based on the slope unit[J]. Scientia Geographica Sinica, 2013, 33(11):1400-1405
[10] 黄启乐, 陈伟, 唐绪波, 等. 区域地质灾害评价中斜坡单元划分方法研究[J]. 自然灾害学报, 2017(05):157-164 HUANG Qi-le, CHEN Wei, TANG Xu-bo, et al. Study on the method of slope unit zoning in regional geo-hazards risk assessment[J]. Jounal of natual disaster, 2017(05):157-164
[11] 王霖琳, 王明媚, 张建. 山东下港泥石流孕灾环境分析及危险度区划研究[J]. 山东农业大学学报:自然科学版, 2005, 36(4):524-528 WANG Lin-lin, WANG Ming-mei, ZHANG Jian. The pregnant environment analysis and risk assessment of debris flows for Xiagiang of Shandong[J]. Journal of Shandong Agricultural University:Engineering Science, 2005, 36(4):524-528
[12] LIU Y, GUO H C, ZOU R, et al. Neural network modeling for regional hazard assessment of debris flow in Lake Qionghai Watershed, China[J]. Environmental Geology, 2006, 49(7):968-976.
[13] SAATY T L. What is the analytic hierarchy process?[M]//Mathematical Models for Decision Support. Berlin Heidelberg:Springer, 1988:109-121.
[14] POWELL M J D. Radial basis functions for multivariable interpolation:a review[J]. Algorithms for Approximation, 1987:143-167.
[15] BROOMHEAD D S, JONES R, MCWHIRTER J G, et al. Systolic array for nonlinear multidimensional interpolation using radial basis functions[J]. Electronics Letters, 1990, 26(1):7-9.
[16] OSANAI N, SHIMIZU T, KURAMOTO K, et al. Japanese early-warning for debris flows and slope failures using rainfall indices with Radial Basis Function Network[J]. Landslides, 2010, 7(3):325-338.
[17] 康志成, 崔鹏, 韦方强, 等. 中国科学院东川泥石流观测研究站观测实验资料集(1995-2000)[M]. 北京:科学出版社, 2007:208-224.
[18] 韩金华. 基于GIS的白龙江流域泥石流危险性评价研究[D]. 兰州:兰州大学, 2010. HAN Jin-hua. Risk assessment of debris flow in Bai Longjiang basin based on GIS[D]. Lanzhou:Lanzhou University, 2010.
No related articles found!