Skip to main content

Research on Urban Water Security Evaluation Based on Technique for Order Preference by Similarity to Ideal Solution Model

  • Conference paper
  • First Online:
Modeling Risk Management for Resources and Environment in China

Part of the book series: Computational Risk Management ((Comp. Risk Mgmt))

Abstract

Urban water safety evaluation is an important content of urban water safety management. In this paper, combining with the characters and influencing factors of urban water safety system, index system of urban water safety evaluation is established. The model of urban water safety evaluation based on Technique for Order Preference by Similarity to Ideal Solution is provided and is used to evaluate water security of Nanjing. The result shows that the model is effective and the state of Nanjing water security is better and better in the future years.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Chen SJ (2006) Research on evaluation, forecasting and regulation in the water safety system. China Hydraulic Press, Beijing

    Google Scholar 

  • Han P, Ruan BQ (2003) Research on evaluation index system of water safety. Acta Scientiae Circumstantiae 23(2):267–272

    Google Scholar 

  • Han YP, Ran BQ, Xie CJ (2003) Multi-objective and multilevel fuzzy optimization model and its application in water security evaluation. Resour Sci 25(4):37–42

    Google Scholar 

  • Jia SF, Zhang JY, Zhang SF (2002) Regional water resources stress and water resources security appraisement indicators. Prog Geogr 21(6):528–45

    Google Scholar 

  • Jiang LM (2002) Method of ideal point and its application in the commercial banks operating performance comprehensive evaluating. Syst Eng Theory Methodol Appl 11(3):227–30

    Google Scholar 

  • Peng YX (2000) Analysis of management decision-making. Science Press, Beijing

    Google Scholar 

  • Shao YS (2004) To strengthen urban water system planning. China Construction News

    Google Scholar 

  • Zeng SY, Li GB, Fu H (2004) Study on water environment security and its evaluation index system – a case study of Beijing. S N Water Transferred Water Sci Technol 2(4):31–5

    Google Scholar 

  • Zhang X, Xia J, Jia SF (2005) Definition of water security and its assessment using water poverty index. Resour Sci 27(3):145–9

    Google Scholar 

Download references

Acknowledgement

This work was supported in partially by the National Society Science Fund of China (Grant No. 09CJY020, 10AJY005), the National Nature Science Foundation of China (No. 90924027), the Fundamental Research Funds for the Central Universities of HoHai University (Grant No. 2009B22114), Public-interest Industry Project of Ministry of Water Resources (200801027) and Yunnan Province Science and Technology Plan Projects (2010).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Junfei Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chen, J., Xia, L., Wang, H. (2011). Research on Urban Water Security Evaluation Based on Technique for Order Preference by Similarity to Ideal Solution Model. In: Wu, D., Zhou, Y. (eds) Modeling Risk Management for Resources and Environment in China. Computational Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18387-4_38

Download citation

Publish with us

Policies and ethics