Dynamic risk assessment model for flood disaster on a projection pursuit cluster and its application

Stochastic Environmental Research and Risk Assessment

Volumn 28, Issue 8, 2014, Pages 2175-2183

  Zhao, Jun ^a,c   Jin, Juliang ^b   Guo, Qizhong ^c   Liu, Li ^b   Chen, Yaqian ^d   Pan, Mei ^e  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^c the state University of New Jersey   (United States)

^d Water Resources Protection Bureau   (China)

^e YANCHENG INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Back propagation neural network; Dynamic risk evaluation; Flood disaster; Fuzzy analytic hierarchy process; Projection pursuit cluster

Indexed keywords

BACKPROPAGATION; DISASTERS; FUZZY INFERENCE; NEURAL NETWORKS; RISK ASSESSMENT; TORSIONAL STRESS;

BACK PROPAGATION NEURAL NETWORKS; DYNAMIC RISKS; FLOOD DISASTER; FUZZY ANALYTIC HIERARCHY PROCESS; PROJECTION PURSUITS;

FLOODS;

EID: 84919877679     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-014-0881-8     Document Type: Article

References (35)

1. Begum S, Stive MJF, Hall JW (2010) Flood risk management in Europe: innovation in policy and practice. Springer, London
2. Botzen WJW, Aerts JCJH, Van den Bergh JCJM (2013) Individual preferences for reducing flood risk to near zero through elevation. Mitig Adapt Strat Glob Change 18(2):229–244
3. Changjiang Water Resources Commission Changjiang Institute of Survey, Planning, Design and Research (2004) Feasibility study on recent flood control engineering in Xin’anjiang River, Huangshan city, Anhui Province. Huangshan Water Conservancy Bureau, Huangshan (in Chinese)
4. Emma JT, Michael JC, Sally JP (2006) Confronting flood risk: implications for insurance and risk transfer. J Environ Manage 81(4):351–359
5. Hansson K, Danielson M, Ekenberg L (2008) A framework for evaluation of flood management strategies. J Environ Manage 86(3):465–480
6. Huang ZW, Zhou JZ, Song LX (2010) Flood disaster loss comprehensive evaluation model based on optimization support vector machine. Expert Syst Appl 37(5):3810–3814
7. Huangshan Local Chronicles Office (1997–2008) Huangshan yearbook. Huangshan Book Press, Huangshan
8. Jeyaseelan R, Sharma MK, Agrawal SK (2005) Flood management, flood risk assessment and flood plain zoning. China Water Resour 20:52–54
9. Ji Z, Li N, Xie W, Jidong W, Zhou Y (2010) Comprehensive assessment of flood risk using the classification and regression tree method. Stoch Environ Res Risk Assess 24(8):1175–1191
10. Jiang WG, Deng L, Chen LY et al (2008a) Risk assessment and validation of flood disaster based on fuzzy mathematics. Prog Nat Sci 19(10):1419–1425
11. Jiang WG, Li J, Chen YH (2008b) Risk assessment system for regional flood disaster (I): principle and method. J Nat Disasters 17(6):53–59
12. Jin JL, Yang XH, Wei YM (2005) System evaluation method based on fuzzy preferential relation matrix. Syst Eng-Theory Methodol Appl 14(4):364–368
13. Jin JL, Hong TQ, Wang WS (2007) Entropy and FAHP based fuzzy comprehensive evaluation model of water resources sustaining utilization. J Hydroelectr Eng 26(4):22–28
14. Jin JL, Wang YT, Wei YM et al (2009) Theoretical analysis frame based on general entropy and intelligence integration methodology for flood disaster risk management. Adv Water Sci 20(6):894–900
15. Li HY, Liu HB, Yuan XM et al (2002) Peak value recognition theory of artificial neural network and its application to flood forecasting. J Hydraul Eng 6:15–20
16. Marchi L, Borga M, Preciso E, Gaume E (2010) Characterisation of selected extreme flash floods in Europe and implications for flood risk management. J Hydrol 394(1–2):118–133
17. Marco Costa A, Gonçalves M (2012) Clustering and forecasting of dissolved oxygen concentration on a river basin. Stoch Environ Res Risk Assess 26(4):519–531
18. Mueller A (2013) Flood risks in a dynamic urban agglomeration: a conceptual and methodological assessment framework. Nat Hazards 65(3):1931–1950
19. Mukesh KT, Chandranath C (2010) Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs). J Hydrol 382(1–4):20–33
20. Qin GH, Ding J, Liu GD (2002) River flow prediction using artificial neural networks: self-adaptive error back-propagation algorithm. Adv Water Sci 13(1):37–41
21. Samuel P (2008) Flood risk management: research and practice. CRC Press Inc., Boca Raton
22. Statistical bureau in Anhui province, Statistical bureau in China (1989–2008) Statistical yearbook. National Bureau of Statistics of China, Beijing (in Chinese)
23. Tian Z et al (2008) Projection pursuit method and its application. Northwestern Polytechnical University Press, Xi’an
24. Wang S (2005) Resource water conservancy-man and nature in harmony (revised edition). China Water Conservancy and Hydropower Press, Beijing
25. Wang SJ, Li YQ (2007) A dynamic cluster model based on projection pursuit with its application to climate zoning. J Appl Meteorol Sci 18(5):722–726
26. Wang J, Cai SH, Yang YW et al (2010) Study on comprehensive grade evaluation of river health to Yihe River based on projection pursuit of entropy. J Water Resour Water Eng 21(3):120–123
27. Wang G, Barber ME, Chen S, Wu JQ (2014) SWAT modeling with uncertainty and cluster analyses of tillage impacts on hydrological processes. Stoch Environ Res Risk Assess 28:225–238
28. Water conservancy yearbook editing office in Anhui province (1999–2008) Water conservancy yearbook in Anhui province. Changjiang Press, Wuhan (in Chinese)
29. Wu KY, Jin JL, Wei YM (2009) Intelligent integrated model for forewarning evaluation of watershed water security. Adv Water Sci 20(4):518–525
30. Wu S, Lien H, Chang C (2013) Modeling risk analysis for forecasting peak discharge during flooding retention and warning operation. Stoch Environ Res Risk Assess 27(3):713–723
31. Yang XH, Yang ZF, Li JQ (2004) A genetic projection pursuit interpolation model for comprehensive assessment of water quality. Eng Sci 22(3):66–71
32. Yu SW, Zhu KJ, Diao FQ (2008) A dynamic all parameters adaptive BP neural networks model and its application on oil reservoir prediction. Appl Math Comput 195(1):66–75
33. Zhao J (2011) Study on the risk assessment of regional flood disaster and forewarning system. Doctorial dissertation, Hohai University, Nanjing
34. Zhao J, Jin J, Zhang X et al (2012a) Dynamic risk assessment model for water quality on projection pursuit cluster. Hydrol Res 43(6):798–807
35. Zhao J, Huang Z, Jin J et al (2012) Risk assessment of regional water resources and forewarning model at different time scales. J Hydrol Eng