Skip to main content

Advertisement

SpringerLink
Log in

Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

This study presents the methodology and procedure for risk assessment of flood disasters in central Liaoning Province, which was supported by geographical information systems (GIS) and technology of natural disaster risk assessment. On the basis of the standard formulation of natural disaster risk and flood disaster risk index, of which weights were developed using combined weights of entropy, the relative membership degree functions of variable fuzzy set (VFS) theory were calculated using improved set pair analysis, while level values were calculated using VFSs, including hazard levels, exposure levels, vulnerability levels and restorability levels, and the flood risk level for each assessment unit was obtained using the natural disaster index method. Consequently, integrated flood risk map was carried out by GIS spatial analysis technique. The results show that the southwestern and central parts of the study area possess higher risk, while the northwestern and southeastern parts possess lower risk. The results got by the assessment model fits the area of historical flood data; this study offer new insights and possibility to carry out an efficient way for flood disaster prevention and mitigation. The study also provides scientific reference in flood risk management for local and national governmental agencies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Chang HJ, Franczyk J et al (2009) What is responsible for increasing flood risks? The case of Gangwon Province, Korea. Nat Hazards 48(3):339–354

    Article  Google Scholar 

  • Duan GY, Zhao WJ et al (2012) Improved model of regional flood disaster risk assessment based on remote sensing data. J Nat Disasters 21(04):57–61 (in Chinese)

    Google Scholar 

  • Fisher WD (1958) On grouping for maximum homogeneity. J Am Stat As 53(284):789–798

    Article  Google Scholar 

  • Intergovernmental Panel On Change (IPCC) (2007) Climate change 2007: impacts, adaptation and vulnerability. Cambridge University Press, London

    Book  Google Scholar 

  • Ji Z, Li N et al (2013) Comprehensive assessment of flood risk using the classification and regression tree method. Stoch Env Res Risk Assess 27(8):1815–1828

    Article  Google Scholar 

  • Li Q (2011) A study on a new method for the analysis of flood risk assessment based on artificial neural network. Adv Comput Sci Environ Ecoinform Educ Pt 5(218):262–266

    Article  Google Scholar 

  • Li Q, Jiang XW et al (2013) Analysis and modelling of flood risk assessment using information diffusion and artificial neural network. Water SA39(5):643–648

    Google Scholar 

  • Liu XP, Zhang JQ et al (2011) Grid-based multi-attribute risk assessment of snow disasters in the Grasslands of Xilingol, Inner Mongolia. Hum Ecol Risk Assess 17(3SI):712–731

    Article  Google Scholar 

  • Neal J, Keef C et al (2013) Probabilistic flood risk mapping including spatial dependence. Hydrol Process 27(9SI):1349–1363

    Article  Google Scholar 

  • Rakwatin P, Sansena T et al (2013) Using multi-temporal remote-sensing data to estimate 2011 flood area and volume over Chao Phraya River basin, Thailand. Remote Sens Lett 4(3):243–250

    Article  Google Scholar 

  • Ruiz-Villanueva V, Diez-Herrero A et al (2013) Characterisation of flash floods in small ungauged mountain basins of Central Spain using an integrated approach. Catena 110:32–43

    Article  Google Scholar 

  • Song ZH, Lai CG et al (2013) Evaluation model of flood risk based on set pair analysis. Water Resour Power 31(04):34–37 (in Chinese)

    Google Scholar 

  • Stefanidis S, Stathis D (2013) Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP). Nat Hazards 68(2):569–585

    Article  Google Scholar 

  • Su H, Qin P et al (2013) A method for evaluating sea dike safety. Water Resour Manag 27:5157–5170. doi:10.1007/s11269-013-0459-0

    Article  Google Scholar 

  • Sun ZY, Zhang JQ et al (2013) Drought and waterlogging combination disaster risk zoning in Anhui Province based on gridding GIS. J Catastrophol 28 (01):74–78+87 (in Chinese)

  • Sun Z, Zhang J et al (2014) Integrated risk zoning of drought and waterlogging disasters based on fuzzy comprehensive evaluation in Anhui Province, China. Nat Hazards 71(3):1639–1657

    Article  Google Scholar 

  • Taubenböck H, Wurm M et al (2011) Flood risks in urbanized areas: multi-sensoral approaches using remotely sensed data for risk assessment. Nat Hazards Earth Syst Sci 11(2):431–444

    Article  Google Scholar 

  • Unami K, Abagale FK et al (2010) A stochastic differential equation model for assessing drought and flood risks. Stoch Env Res Risk Assess 24(5):725–733

    Article  Google Scholar 

  • Van Dyck J, Willems P (2013) Probabilistic flood risk assessment over large geographical regions. Water Resour Res 49(6):3330–3344

    Article  Google Scholar 

  • Wen KG, Li B et al (2005) Chinese meteorological disasters ceremony (Liaoning volume). China Meteorological Press, Beijing (in Chinese)

  • Wen KG, Ding YH (2008) Chinese meteorological disasters ceremony (comprehensive volume). China Meteorological Press, Beijing (in Chinese)

  • Yang XL, Ding JH et al (2013) Application of a triangular fuzzy AHP approach for flood risk evaluation and response measures analysis. Nat Hazards 68(2):657–674

    Article  Google Scholar 

  • Zhang G, Lu J (2009) A linguistic intelligent user guide for method selection in multi-objective decision support systems. Inf Sci 179(14):2299–2308

    Article  Google Scholar 

  • Zhang G, Ma J et al (2009) Emergency management evaluation by a fuzzy multi-criteria group decision support system. Stoch Env Res Risk Assess 23(4):517–527

    Article  Google Scholar 

  • Zhang JQ, Jiang XY et al (2010) Evaluation of flood disaster risk indicators based on multi-scale multi-space. J Catastrophol 25(S1):382 (in Chinese)

    Google Scholar 

  • Zhang JQ, Liu XP et al (2012) Introduction of integrated disaster risk management. Peking University Press, Beijing (in Chinese)

    Google Scholar 

  • Zhang Q, Zhang J et al (2014) Risk early warning of maize drought disaster in Northwestern Liaoning Province. Nat Hazards, China. doi:10.1007/s11069-013-1030-2

    Google Scholar 

  • Zhao S (1989) Set pair and set pair analysis-a new concept and systematic analysis method. In: Proceedings of the National conference on system theory and regional planning, pp 87–91 (in Chinese)

  • Zou Q, Zhou JZ et al (2012) Flood disaster risk analysis based on variable fuzzy sets theory. Trans Chin Soc Agric Eng 05:126–132 (in Chinese)

    Google Scholar 

Download references

Acknowledgments

This study was supported by the National Key Technology R&D Program of China under Grant No. 2013BAK05B01, the National Grand Fundamental Research 973 Program of China under Grant No. 2010CB951102, the National Key Technology R&D Program of China under Grant No. 2011BAD32B00-04 and the National Natural Science Foundation of China under Grant No. 41371495. The authors are grateful to the anonymous reviewers for their insightful and helpful comments to improve the manuscript.

Author information

Authors and Affiliations

  1. School of Environment, Northeast Normal University, Changchun, 130024, People’s Republic of China

    Enliang Guo, Jiquan Zhang, Qi Zhang & Zhongyi Sun

  2. School of Urban and Environment, Liaoning Normal University, Dalian, 116000, People’s Republic of China

    Xuehui Ren

Authors
  1. Enliang Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jiquan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xuehui Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Qi Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhongyi Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jiquan Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, E., Zhang, J., Ren, X. et al. Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China. Nat Hazards 74, 947–965 (2014). https://doi.org/10.1007/s11069-014-1238-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-014-1238-9

Keywords

Search

Navigation