Research on the early-warning model with debris flow efficacy coefficient based on the optimal combination weighting law

被引:0
作者
机构
[1] Central Monitoring Station of Geology and Environment, Jilin, 130021, Changchun
[2] College of Construction Engineering, Jilin University, Jilin, 130021, Changchun
来源
Zhang, Yichen (weifenfangcheng@tom.com) | 1600年 / Springer Science and Business Media Deutschland GmbH卷 / 00期
关键词
Debris flow; Early-warning model; Efficacy coefficient; Optimal combination weighting law;
D O I
10.1007/978-3-642-29107-4_33
中图分类号
X9 [安全科学];
学科分类号
0837 ;
摘要
Early-warning of debris flow plays an important role in disaster mitigation and prevention. Based on optional combination weighting law, the warning model with debris flow efficacy coefficient was built considering the evaluation factors including deposits of loose materials along the gully, gradient of mountain slope, effective precipitation in three dimensions, vegetation coverage rate, relative height difference, watershed area, and total amount of precipitation in a single day. The debris flow which occurred in the city of Dunhua, China was analyzed and evaluated; the data have been used in disaster warning in flood seasons. The result shows that early-warning model with debris flow efficacy coefficient is feasible and practical, and can be regarded as a new method of debris flow warning. © 2013, Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:567 / 576
页数:9
相关论文
共 7 条
[1]  
Abdou S., Savoy J., Statistical and comparative evaluation of various indexing and search models, LNCS 4182, 2006, pp. 362-373, (2006)
[2]  
Bay S.D., Pazzani M.J., Detecting group differences: Mining contrast sets, Data Min Knowl Disc, 5, 3, pp. 213-246, (2001)
[3]  
Chen H.Y., Research on optimal combination determining weights method for multiple attribute decision making, Oper Res Manag Sci, 12, 2, pp. 6-10, (2003)
[4]  
Meng F.Q., Li G.J., Wang Q., Application of optimal combination weighting law in the debris flow risk assessment, Yangtze River, 40, 22, pp. 40-42, (2009)
[5]  
Wang M.Y., Zhang F.M., Liu Z., Evaluation method of the multi-attribute scheme based on entropy weight of fuzzy information, Syst Eng Electron, 28, 10, pp. 1523-1525, (2006)
[6]  
Wang Y.C., Shang Y.Q., Sun H.Y., Study of prediction of rock burst intensity based on efficacy coefficient method, Rock Soil Mech, 31, 2, pp. 529-534, (2010)
[7]  
Wei Q.L., Yan H., A method of transferring polyhedron between the intersection-form and the sum-form, Comput Math Appl, 41, 10-11, pp. 1327-1342, (2001)