基于地貌信息熵与滑坡物源的芦山地震区泥石流危险性评价

doi:10.3969/j.issn.0253-4967.2015.03.017

摘要/Abstract

摘要：

地貌信息熵是判断地貌发育演化阶段的量化指标, 常用以表示流域地貌面的受侵蚀程度, 是地形地貌因子的反映.以GIS技术为操作平台, 利用芦山地震滑坡体积作为泥石流物质来源数据, 采用地貌信息熵方法, 对55条泥石流沟进行了基于滑坡物源的泥石流危险性区划研究, 期望能为即将来临的雨季做好泥石流危险区规划和防灾工程部署提供参考.研究结果表明: 研究区泥石流沟谷流域地貌信息熵值变化范围为0.003 2~0.938 1, 沟谷地貌演化从幼年期至老年期均有分布; 泥石流危险区面积自极高危险区至极低危险区基本呈现递减趋势, 80.77%研究区面积的泥石流沟谷比较活跃, 处于幼年期—壮年期的泥石流沟谷增加了泥石流发生的危险性; 泥石流沟谷流域斜坡物质响应率变化范围为0~133.24mm, 低度和极低度物源敏感区面积共占研究区沟谷流域面积的72.93%, 表明近 3/4 的泥石流沟谷流域对滑坡物源不敏感; 基于滑坡物源的泥石流危险性评价结果表明, 2/5 以上的泥石流沟谷流域处于中度及以上危险区, 泥石流活动较为活跃.

关键词: 地理信息系统, 芦山地震, 滑坡, 地貌信息熵, 泥石流危险性评价

Abstract:

Geomorphic information entropy is a quantitative indicator used to determine the evolutionary stage and express the erosion degree of watershed geomorphic surface, which is a reflection of topography factors. In order to do a better job for the upcoming rainy season's debris-flow hazard zone planning and provide a reference for disaster prevention, with GIS technology as a platform and the Lushan seismic landslides' volume data as source material of debris flow, and by combining geomorphic information entropy method, the paper carries out debris-flow hazard evaluation for 55 debris flows based on landslide material sources. The results show that: The range of the value of geomorphic information entropy is between 0.003 2~0. 938 1 in debris-flow valley basin of the study area, and valley geomorphic evolution is distributed from childhood to old age; the area of debris-flow hazard zone shows a decreasing trend basically from high to low hazard zone, with 80. 77% of the study region locating in the debris flow prone area, and the presence of debris-flow valley in its juvenile to mature stage increases the risk of debris flow. The response rate of seismic slope mass movement(RRSSMM)of the debris flow basin varies from 0~133. 24mm, and the area of material source sensitive area of low and very low degree accounts for 72. 93% of the valley basin area of the study area, which indicates that nearly 3/4 of debris-flow valley basins are insensitive to landslides material source. The result of debris-flow hazard evaluation based on landslides material source indicates that more than 2/5 of the debris flow valley basin is located in moderate or above hazard zone, where debris flow activity seems more active.

Key words: geographic information system(GIS), Lushan earthquake, landslides, geomorphic information entropy, debris-flow hazard evaluation

中图分类号:

P694

刘丽娜, 许冲, 陈剑. 基于地貌信息熵与滑坡物源的芦山地震区泥石流危险性评价[J]. 地震地质, 2015, 37(3): 880-892.

LIU Li-na, XU Chong, CHEN Jian. DEBRIS-FLOW HAZARD EVALUATION BASED ON GEOMORPHIC INFORMATION ENTROPY AND LANDSLIDE MATERIALS IN THE LUSHAN EARTHQUAKE AFFECTED AREA[J]. SEISMOLOGY AND GEOLOGY, 2015, 37(3): 880-892.

参考文献

艾南山. 1987. 侵蚀流域系统的信息熵［J］. 水土保持学报, 1(2): 1—7.
AI Nan-shan. 1987. Comentropy in erosional drainage-system［J］. Journal of Soil and Water Conservation, 1(2): 1—7(in Chinese).
艾南山, 岳天祥. 1988. 再论流域系统的信息熵［J］. 水土保持学报, 2(4): 1—7.
AI Nan-shan, YUE Tian-xiang. 1988. Second discussion of the comentropy of drainage-system［J］. Journal of Soil and Water Conservation, 2(4): 1—7(in Chinese).
陈宁, 杨武年, 杨鑫. 2012. 基于GIS的岷江映秀段泥石流危险性评价［J］. 测绘, 35(1): 3—5.
CHEN Ning, YANG Wu-nian, YANG Xin. 2012. Hazard assessment of debris flow based on geography information system technology［J］. Surveying and Mapping, 35(1): 3—5(in Chinese).
陈晓利, 袁仁茂, 庾露. 2013. Newmark方法在芦山地震诱发滑坡分布预测研究中的应用［J］. 地震地质, 35(3): 661—670. doi: 10.3969/j.issn.0253-4967.2013.03.019.
CHEN Xiao-li, YUAN Ren-mao, YU Lu. 2013. Applying the Newmark's model to the assessment of earthquake-triggered landslides during the Lushan earthquake［J］. Seismology and Geology, 35(3): 661—670(in Chinese).
黄海, 石胜伟, 谢忠胜, 等. 2012. 杂谷脑河流域暴雨型泥石流沟地貌特征分析［J］. 水土保持通报, 32(3): 203—207.
HUANG Hai, SHI Sheng-wei, XIE Zhong-sheng, et al. 2012. Geomorphic features of rainstorm-induced debris flow gullies in Zagunao river basin［J］. Bulletin of Soil and Water Conservation, 32(3): 203—207(in Chinese).
李阔, 唐川. 2007. 泥石流危险性评价研究进展［J］. 灾害学, 22(1): 106—111.
LI Kuo, TANG Chuan. 2007. Progress in research on debris flow hazard assessment［J］. Journal of Catastrophology, 22(1): 106—111(in Chinese).
李雅辉, 杨武年, 杨鑫, 等. 2011. 基于流域系统的地貌信息熵泥石流敏感性分析［J］. 中国水土保持, (1): 55—57.
LI Ya-hui, YANG Wu-nian, YANG Xin, et al. 2011. Debris flow susceptibility assessment based on geomorphic information entropy and river system［J］. Soil and Water Conservation in China, (1): 55—57(in Chinese).
刘利红, 吴海宽. 2011. 基于立体像对的DEM提取和正射影像图制作研究［J］. 内蒙古科技与经济, (14): 94—95.
LIU Li-hong, WU Hai-kuan. 2011. DEM extraction and orthophoto map production based on stereo pair of images［J］. Inner Mongolia Sciences Technology & Economy, (14): 94—95(in Chinese).
刘希林. 1988. 泥石流危险度判定的研究［J］. 灾害学, (3): 10—15.
LIU Xi-lin. 1988. Study on the determination of the dangerous degree of debris flow［J］. Journal of Catastrophology, (3): 10—15(in Chinese).
刘小凤, 刘百, 郭德明, 等. 1994. 东北地区地貌信息熵与地震构造［J］. 东北地震研究, 10(2): 29—36.
LIU Xiao-feng, LIU Bai, GUO De-ming, et al. 1994. Morphological information entropy and seismic structure in Northeast China［J］. Seismological Research of Northeast China, 10(2): 29—36(in Chinese).
陆中臣. 1991. 流域地貌系统［M］. 大连: 大连出版社. 11—29.
LU Zhong-chen. 1991. Drainage Geomorphic System［M］. Dalian Press, Dalian. 11—29(in Chinese).
宁娜, 马金珠, 张鹏, 等. 2013. 基于GIS和信息量法的甘肃南部白龙江流域泥石流灾害危险性评价［J］. 资源科学, 35(4): 892—899.
NING Na, MA Jin-zhu, ZHANG Peng, et al. 2013. Debris flow hazard assessment for the Bailongjiang River, southern Gansu［J］. Resources Science, 35(4): 892—899(in Chinese).
铁永波, 唐川, 周春花. 2005. 基于信息熵理论的泥石流沟谷危险度评价［J］. 灾害学, 20(4): 43—46.
TIE Yong-bo, TANG Chuan, ZHOU Chun-hua. 2005. Information entropy-based hazard assessment of debris flow gully［J］. Journal of Catastrophology, 20(4): 43—46(in Chinese).
王斌, 赵建. 2008. 济南南部山地玉符河流域地貌信息熵研究［J］. 科协论坛, (6): 69—70.
WANG Bin, ZHAO Jian. 2008. Geomorphologic information entropy of Yufu River watershed in mountain areas of southern Jinan City［J］. Science & Technology Association Forum, (6): 69—70(in Chinese).
王钧, 欧国强, 杨顺, 等. 2013. 地貌信息熵在地震后泥石流危险性评价中的应用［J］. 山地学报, 31(1): 83—91.
WANG Jun, OU Guo-qiang, YANG Shun, et al. 2013. Applicability of geomorphic information entropy in the post-earthquake debris flow risk assessment［J］. Journal of Mountain Science, 31(1): 83—91(in Chinese).
王晓鹏, 潘懋, 任群智. 2007. 基于流域系统地貌信息熵的泥石流危险性定量评价［J］. 北京大学学报(自然科学版), 43(2): 211—215.
WANG Xiao-peng, PAN Mao, REN Qun-zhi. 2007. Hazard assessment of debris flow based on geomorphic information entropy in catchment［J］. Acta Scientiarum Naturalium Universitatis Pekinensis, 43(2): 211—215(in Chinese).
许冲, 肖建章. 2013a. 2013年芦山地震滑坡空间分布分析: 以太平镇东北方向的一个典型矩形区为例［J］. 地震地质, 35(2): 436—451. doi: 10.3969/j.issn.0253-4967.2013.02.021.
XU Chong, XIAO Jian-zhang. 2013a. Spatial analysis of landslides triggered by the 2013 M_S7.0 Lushan earthquake: A case study of a typical rectangle area in the northeast of Taiping town［J］. Seismology and Geology, 35(2): 436—451(in Chinese).
许冲, 徐锡伟, 郑文俊, 等. 2013b. 2013年四川省芦山 "4.20" 7.0级强烈地震触发滑坡［J］. 地震地质, 35(3): 641—660. doi: 10.3969/j.issn.0253-4967.2013.03.018.
XU Chong, XU Xi-wei, ZHENG Wen-jun, et al. 2013b. Landslides triggered by the April 20, 2013 Lushan, Sichuan Province M_S7.0 strong earthquake of China［J］. Seismology and Geology, 35(3): 641—660(in Chinese).
许冲, 徐锡伟. 2013c. 2008年汶川地震导致的斜坡物质响应率及其空间分布规律分析［J］. 岩石力学与工程学报, 32(S2): 3888—3907.
XU Chong, XU Xi-wei. 2013c. Response rate of seismic slope mass movements related to 2008 Wenchuan earthquake and its spatial distribution analysis［J］. Chinese Journal of Rock Mechanics and Engineering, 32(S2): 3888—3907(in Chinese).
许延丽, 刘兆刚. 2009. 基于航片建立数字高程模型及林分信息提取［J］. 东北林业大学学报, 37(11): 88—91.
XU Yan-li, LIU Zhao-gang. 2009. Establishment of digital elevation model and information extraction for forest stands based on aerial images［J］. Journal of Northeast Forestry University, 37(11): 88—91(in Chinese).
周庆, 江亚风, 吴果, 等. 2014. 芦山地震崩滑灾害空间分布及相关问题探讨［J］. 地震地质, 36(2): 344—357. doi: 10.3969/j.issn.0253-4967.2014.02.006.
ZHOU Qing, JIANG Ya-feng, WU Guo, et al. 2014. Distribution of coseismic landslides in Lushan earthquake and discussion on related problems［J］. Seismology and Geology, 36(2): 344—357(in Chinese).
Becht M, Rieger D. 1997. Spatial and temporal distribution of debris-flow occurrence on slopes in the Eastern Alps［A］. In: Proceedings of the First International DFHM Conference, San Francisco, CA, USA, August 07—09.
Cheng K Y, Lin L K, Chang S Y. 1997. The field investigation and GIS application in a potential hazardous area of debris flow［A］. In: Proceedings of the First International DFHM Conference, San Francisco, CA, USA, August 07—09.
Larsen I J, Montgomery D R, Korup O. 2010. Landslide erosion controlled by hillslope material［J］. Nature Geoscience, 3(4): 247—251.
Nilsen T H, Brabb E E. 1977. Slope-stability studies in the San Francisco Bay Region, California［J］. Reviews in Engineering Geology, (3): 235—243.
Nakagawa H, Takahashi T. 1997. Estimation of a debris flow hydrograph and hazard area［A］. In: Proceedings of the First International DFHM Conference, San Francisco, CA, USA, August 07—09.
Schilling S P, Iverson R M. 1997. Automated, reproducible delineation of zones at risk from inundation by large volcanic debris flows［A］. In: Proceedings of the First International DFHM Conference, San Francisco, CA, USA, August 07—09.
Strahler A N. 1952. Hypsometric(area-altitude)analysis of erosional topography［J］. Geological Society of America Bulletin, 63: 1117—1142.
Xu C, XU X W. 2014. The spatial distribution pattern of landslides triggered by the 20 April 2013 Lushan earthquake of China and its implication to identification of the seismogenic fault［J］. Chinese Science Bulletin, 59(13): 1416—1424.
Xu X W, Wen X Z, Han Z J, et al. 2013. Lushan M_S7.0 earthquake: A blind reserve-fault event［J］. Chinese Science Bulletin, 58(28-29): 3437—3443.
Xu C, Xu X W, Shyu J B H. 2015. Database and spatial distribution of landslides triggered by the Lushan, China M_S6.6 earthquake of 20 April 2013［J］. Geomorphology, 248:77—92.

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