[1]陈 剑,黎 艳,许 冲.金沙江干热河谷区泥石流易发性评价模型及应用[J].山地学报,2016,(04):460-467.[doi:10.16089/j.cnki.1008-2786.000151]
　CHEN Jian,LI Yan,XU Chong.Susceptibility Assessment Model of Debris Flows in the Dry-hot Valley of the Jinsha River and Its Application[J].Mountain Research,2016,(04):460-467.[doi:10.16089/j.cnki.1008-2786.000151]
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金沙江干热河谷区泥石流易发性评价模型及应用()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2016年04期
页码:
460-467
栏目:
山地灾害
出版日期:
2016-08-01

文章信息/Info

Title:
Susceptibility Assessment Model of Debris Flows in the Dry-hot Valley of the Jinsha River and Its Application
文章编号:
1008-2786-(2016)4-460-08
作者:
陈 剑1; 黎 艳1; 许 冲2
1.中国地质大学(北京)工程技术学院,北京 100083;
2.中国地震局地质研究所活动构造与火山重点实验室,北京 100029
Author(s):
CHEN Jian1;  LI Yan1;  XU Chong2
1.School of Engineering and Technology, China University of Geosciences(Beijing), Beijing 100083 2.Key Laboratory of Active tectonics and the volcano, Institute of Geology, China Earthquake Administration, Beijing 100029
关键词:
流域单元;  干热河谷区;  泥石流;  指标熵模型;  易发性评价
Keywords:
catchment unit;  dry-hot valley;  debris flow;  entropy of index;  susceptibility assessment
分类号:
P642.23
DOI:
10.16089/j.cnki.1008-2786.000151
文献标志码:
A
摘要:
金沙江上游奔子栏-昌波河段属典型的干热河谷区,气候干热少雨,但泥石流灾害发生频繁。采用指标熵模型对干热河谷区泥石流的影响因子进行敏感性分析,最后筛选出流域地貌熵值、岩土类型、坡向、坡度、植被归一化指数、月均降雨量等6个因子作为泥石流的易发性评价因子。将研究区划分为217个小流域,以流域单元为评价单元,采用权重系数法建立了泥石流的易发性评价模型,并利用该模型制作易发性分区图。分区结果表明:研究区泥石流极高易发区和高易发区主要分布在北部的昌波-贡波段、中东部的徐龙-曲雅贡段和南部的金沙江沿岸。极高易发区和高易发区面积占研究区总面积的36.4%,两区内的泥石流流域面积占泥石流总流域面积的58%。经检验泥石流的预测成功率为69.6%。
Abstract:
The Benzilan-Changbo segment of the upper Jinsha River belongs to a typical dry-hot valley area, where it is characterized by a dry-hot climate with little rain and debris flows occur frequently. The sensitivity of impact factors on debris flows in dry-hot valley was analyzed using the index entropy model. A total of 6 factors were served as impact factors for debris flow susceptibility assessment, namely geomorphologic entropy in catchment, lithology, slope aspect, slope gradient, average monthly rainfall and normalized vegetation index. Considering watershed characteristics of debris flow, the study area is divided into 217 small catchments. Taking the small catchments as unit for susceptibility assessment of debris flow, and a susceptibility division map was made using weighted coefficient method. The results show that very high and high susceptibility area mainly are distributed in the Changbo-Gongbo segment of the north, Xulong-Quyagong segment of the east-central and along the banks of the Jinsha River of the south. The area with very high and high susceptibility accounts for 36.4% of the total area of the study area, and the area of debris flow in these two areas was 58%. The success rate of the debris flow susceptibility assessment was 69.6%.

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备注/Memo

备注/Memo:
收稿日期(Received date):2015-07-15; 改回日期( Accepted):2015-08-27。
基金项目(Foundation item):国家自然科学基金重点项目(41230743)、国家自然科学基金面上项目(41571012)、中央高校基本科研业务费专项资金资助项目(2652015060)。[Key Program of National Natural Science Foundation of China(41230743), General Program of National Natural Science Foundation of China(41571012), Fundamental Research Funds for the Central Universities(2652015060).]
作者简介(Biography):陈剑(1975 -),男,副教授,主要从事灾害地貌学、工程地质与地质灾害防治研究。[Jian Chen(1975 -), male, associate professor, specialized in hazard geomorphology, engineering geology and geological hazard prediction and control.] E-mail: jianchen@cugb.edu.cn
更新日期/Last Update: 2016-07-30