VULNERABILITY ASSESSMENT OF DEBRIS FLOW BASED ON ENTROPY VALUE AND CATASTROPHE PROGRESSION METHODS

WANG Xue-dong; YE Guo; LI Shi-yu; ZHANG Xiao-jun; LI Xiao-long

2019 Vol. 28, No. 5

Article Contents

Article navigation > Geology and Resources > 2019 > 28(5): 493-496, 422

Next Article Previous Article

WANG Xue-dong, YE Guo, LI Shi-yu, ZHANG Xiao-jun, LI Xiao-long. VULNERABILITY ASSESSMENT OF DEBRIS FLOW BASED ON ENTROPY VALUE AND CATASTROPHE PROGRESSION METHODS[J]. Geology and Resources, 2019, 28(5): 493-496, 422.

Citation:

WANG Xue-dong, YE Guo, LI Shi-yu, ZHANG Xiao-jun, LI Xiao-long. VULNERABILITY ASSESSMENT OF DEBRIS FLOW BASED ON ENTROPY VALUE AND CATASTROPHE PROGRESSION METHODS[J]. Geology and Resources, 2019, 28(5): 493-496, 422.

VULNERABILITY ASSESSMENT OF DEBRIS FLOW BASED ON ENTROPY VALUE AND CATASTROPHE PROGRESSION METHODS

1.
College of Mining, Liaoning Technical University, Fuxin 123000, Liaoning Province, China
2.
China Railway 19 th Bureau Group Mining Investment Co., Ltd., Beijing 100161, China
3.
Shangdong Zhengyuan Construction Engineering Co., Ltd., Weifang 261000, Shandong Province, China

Received Date: 18 February 2019

Revised Date: 03 April 2019

Publish Date: 31 October 2019

Abstract

Abstract

Vulnerability(harmfulness) is an important part of debris flow risk assessment. Two methods are combined for the vulnerability assessment. The objective entropy value method is adopted to judge the relative importance of indexes; while the catastrophe progression to calculate its value. The well-grounded method theory can avoid the disadvantages of determining index weight value. Taking the vulnerability assessment examples of 10 debris flows in the geohazard surveying and zoning in Helong City, Jilin Province, for verification, the results show that the process of data acquisition, standardization and assessment is simple, and the mild and moderate-dominated vulnerability grades are consistent with the actual situation. The method can be more reasonably applied to practical work after improving the index system. Therefore, the combination of entropy value method and catastrophe theory is feasible and reliable for debris flow vulnerability assessment.
- debris flow /
- vulnerability /
- assessment /
- entropy value method /
- catastrophe progression method

FullText(HTML)

References

[1]	刘希林, 莫多闻.泥石流易损度评价[J].地理研究, 2002, 21(5):569-577. doi: 10.3321/j.issn:1000-0585.2002.05.005 CrossRef Google Scholar
[2]	CUI Peng, XIANG Ling-zhi, ZOU Qiang. Risk assessment of highways affected by debris flows in Wenchuan earthquake area[J]. Journal of Mountain Science, 2013, 10(2):173-189. doi: 10.1007/s11629-013-2575-y CrossRef Google Scholar
[3]	HAN Yong-shun, LIU Hong-jiang, ZHONG Dun-lun, et al. GIS-based risk assessment of debris flow disasters in the upper reach of Yangtze river[J]. Wuhan University Journal of Natural Sciences, 2007, 12(4):657-662. doi: 10.1007/s11859-006-0352-2 CrossRef Google Scholar
[4]	刘希林, 尚志海.泥石流灾害综合风险分析方法及其应用[J].地理与地理信息科学, 2012, 28(5):86-88. Google Scholar
[5]	唐波, 刘希林, 尚志海.城市灾害易损性及其评价指标[J].灾害学, 2012, 27(4):6-11. doi: 10.3969/j.issn.1000-811X.2012.04.002 CrossRef Google Scholar
[6]	倪晓娇, 南颖, 朱卫红, 等.基于多灾种自然灾害风险的长白山地区生态安全综合评价[J].地理研究, 2014, 33(7):1348-1360. Google Scholar
[7]	王雪冬, 李广杰, 孟凡奇, 等.基于改进型拉开档次法的泥石流危险度评价实例[J].吉林大学学报:地球科学版, 2012, 42(6):1853-1858. Google Scholar
[8]	凌复华.突变理论及其应用[M].上海:上海交通大学出版社, 1987:2-3. Google Scholar
[9]	徐黎明.基于突变理论的乌东德水电站近坝区泥石流风险评价与防治研究[D].长春: 吉林大学, 2013.http://cdmd.cnki.com.cn/Article/CDMD-10183-1013193238.htm Google Scholar
[10]	周容义, 黎忠文, 牛会永.基于突变理论的油库火灾爆炸分析与模糊动态评价[J].中国安全科学学报, 2006, 16(6):97-101. doi: 10.3969/j.issn.1003-3033.2006.06.018 CrossRef Google Scholar
[11]	王雪冬, 李世宇, 孙延锋, 等.基于熵值法和突变理论的矿山环境质量评价[J].煤炭科学技术, 2018, 46(S1):264-267. Google Scholar
[12]	Lee S, Chwae U, Min K D. Landslide susceptibility mapping by correlation between topography and geological structure in the Janghung area, Korea[J]. Geomorphology, 2002, 46(3/4):149-162. Google Scholar
[13]	曹伟, 盛煜, 齐吉琳.基于突变级数法的青海木里矿区冻土环境评价[J].煤炭学报, 2008, 33(8):881-886. doi: 10.3321/j.issn:0253-9993.2008.08.009 CrossRef Google Scholar
[14]	李军霞.西藏隆子县滑坡灾害形成机理及非线性预测研究[D].长春: 吉林大学, 2011.http://cdmd.cnki.com.cn/article/cdmd-10183-1011105951.htm Google Scholar
[15]	陈娇, 罗周全, 侯造水.基于改进突变级数法的金属矿采空区稳定性评价[J].中国安全生产科学技术, 2013, 9(11):17-24. Google Scholar
[16]	安景文, 安娴, 王龙康.基于突变级数法的企业应急动态能力评价研究[J].中国安全生产科学技术, 2017, 13(1):109-114. Google Scholar
[17]	张立新, 张艳.基于改进突变级数法的农村人力资源能力评价研究[J].大连理工大学学报:社会科学版, 2016, 37(1):70-76. Google Scholar
[18]	郑德凤, 臧正, 王平富.改进的突变模型及其在水资源评价中的应用[J].水利水电科技进展, 2014, 34(4):45-52. Google Scholar
[19]	王富强, 刘中培, 杨松林.基于突变理论的灌区水资源开发利用状况综合评价[J].中国农村水利水电, 2011(12):19-25. Google Scholar
[20]	唐川, 张军, 周春花, 等.城市泥石流易损性评价[J].灾害学, 2005, 20(2):11-17. doi: 10.3969/j.issn.1000-811X.2005.02.003 CrossRef Google Scholar
[21]	LIU Xi-lin. Site-specific vulnerability assessment for debris flows:Two case studies[J]. Journal of Mountain Science, 2006, 13(1):20-27. Google Scholar