Study of the comprehensive risk analysis of dam-break flooding based on the numerical simulation of flood routing. Part II: Model application and results

Natural Hazards

Volumn 72, Issue 2, 2014, Pages 675-700

  Zhou, Zhengyin ^a   Wang, Xiaoling ^a   Sun, Ruirui ^a   Ao, Xuefei ^a   Sun, Xiaopei ^a   Song, Mingrui ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Attribute synthetic assessment; Dam break consequences; Dam break flood; Group dam risk ranking; TOPSIS method

Indexed keywords

COMPUTER SIMULATION; DAM FAILURE; FLOOD ROUTING; NUMERICAL MODEL; RANKING; RESERVOIR FLOODING; RISK ASSESSMENT; SENSITIVITY ANALYSIS;

CHINA; HAI BASIN;

EID: 84899983756     PISSN: 0921030X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11069-013-1029-8     Document Type: Article

References (17)

1. Antoniou I, Ivanov VV, Korolev YL, Kryanev AV, Matokhin VV, Suchanecki Z (2002) Analysis of resources distribution in economics based on entropy. Phys A: Stat Mech Appl 304(3-4): 525-534.
2. Ayaǧ Z, Özdemir RG (2009) A hybrid approach to concept selection through fuzzy analytic network process. Comput Ind Eng 56(1): 368-379.
3. Cheng QS (1997) Attribute sets and attribute synthetic assessment system. Syst Eng-theory Pract 7: 1-8.
4. Gülçin B, Gizem Ç (2012) A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry. Expert Syst Appl 39(3): 2341-2354.
5. Hill PI, Cook D, Nathan RJ, Crowe P, Green J, Mayo N (2001) Development of a comprehensive approach to consequence assessment. ANCOLD Bull 117: 33-46.
6. Krishna GB, Arunima S (2004) Azadirachta indica leaf powder as an effective biosorbent for dyes: a case study with aqueous Congo red solutions. J Environ Manage 71(3): 217-229.
7. Li Y, Xu FP (2013) Research on the multiple combination weight based on rough set and clustering analysis-The knowledge transfer risk in IT outsourcing taken as an example original research article. Proced Comput Sci 17: 274-281.
8. Li L, Wang RZ, Sheng BQ (2006) Risk assessment and management of dams. China Water & Power Press, Beijing.
9. Sepehr A, Zucca C (2012) Ranking desertification indicators using TOPSIS algorithm. Nat Hazards 62(3): 1137-1153.
10. Shannon CE (1948) A mathematical theory of communication. Bell Sys Tech J 27: 379-423.
11. Shuiabi E, Thomson V, Bhuiyan N (2005) Entropy as a measure of operational flexibility. Eur J Oper Res 165(3): 696-707.
12. State Flood Control and Drought Resistance Headquarters' Office (2005) Flood risk mapping guidelines.
13. Testa G, Zuccala D, Alcrudo F, Mulet J, Soares-Frazao S (2007) Flash flood flow experiment in a simplified urban district. J Hydraul Res 45(S1): 37-44.
14. Wu YH, Du G (2001) Foundations of management science. Tianjin University Press, Tianjin.
15. Wu J, Sun J, Liang L, Zha YC (2011) Determination of weights for ultimate cross efficiency using Shannon entropy. Expert Sys Appl 38(5): 5162-5165.
16. Zhang W, Chen JP, Wang Q, An YK, Qian X, Xiang LJ, He LX (2013) Susceptibility analysis of large-scale debris flows based on combination weighting and extension methods. Nat Hazards 66(2): 1073-1100.
17. Zou Q, Zhou JZ, Yang XL, He YY, Zhang YC (2011) A comprehensive assessment model for severity degree of dam failure impact. J Sichuan Univ 43(2): 45-50.