Skip to main content

Part of the book series: Nato Science Series ((NAIV,volume 23))

  • 195 Accesses

Abstract

Assessment of water quality monitoring networks requires potential methods to delineate the efficiency and cost-effectiveness of current monitoring programs. To this end, the concept of entropy has been considered as a promising method in previous studies as it quantitatively measures the information produced by a network. The paper presented discusses an entropy-based approach for the assessment of combined spatial/temporal frequencies of monitoring networks. The results are demonstrated in the case of water quality data observed along the Mississippi River in Louisiana.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. .National Water Quality Assessment Program: The Challenge of National Synthesis.(1994). Committee on U.S. Geological Survey Water Resources Research, Water Science and Technology Board, National Research Council, National Academy Press, Washington, D.6.

    Google Scholar 

  2. Ward, R.C. (1996). Water quality monitoring: Where’s the beef? AWRAWater Resources Bulletin32(4), 673–680.

    Article  CAS  Google Scholar 

  3. Ward, R.C., J.C. Loftis and G.B. McBride (1994).Design of Water Quality Monitoring SystemsVan Nostrand Reinhold, New York.

    Google Scholar 

  4. WMO (1994).Advances in Water Quality Monitoring - Report of a WMO Regional Workshop (Vienna 7–11 March 1994). World Meteorological Organization, Technical Reports in Hydrology and Water Resources, No. 42, WMO/TD-NO 612, Geneva, Switzerland, 332 p.

    Google Scholar 

  5. Adriaanse, M.J., van de Kraats, J., Stoks, P.G., and Ward, R.C. (1995). Conclusions monitoring tailor made. In:Proceedings Monitoring Tailor-Made An International Workshop on Monitoring and Assessment in Water Management, Beekbergen, The Netherlands, Sept. 20–23, pp. 20–23.

    Google Scholar 

  6. Niederlander, H.A.G., Dogterom, J., Buijs, P.H.L., Hupkes, R., and Adriaanse, M. (1996).UN/ECE Task Force on Monitoring & Assessment, Working Programme 1994/1995, Volume:5: State of the Art on Monitoring and Assessment of RiversRIZA report: 95.068.

    Google Scholar 

  7. Harmancioglu, N.B. and Alpaslan, M.N. (1997). Redesign of water quality monitoring networks. In: J.C. Refsgaard and E.A. Karalis (eds.)Operational Water ManagementA.A. Balkema, Rotterdam, pp.57–64.

    Google Scholar 

  8. Sanders, T.G., Ward, R.C., Loftis, J.C., Steele, T.D., Adrian, D.D., and Yevjevich, V. (1983).Design of Networks for Monitoring Water Quality, Water Resources Publications, Littleton, Colorado, 328p.

    Google Scholar 

  9. Tirsch, F.S., & Male, J.W. (1984). River basin water quality monitoring network design. In T.M. Schad (ed.)Options for Reaching Water Quality Goals, Proceedings of the Twentieth Annual Conference of American Water Resources AssociationAWRA Publications, pp:149–156)..

    Google Scholar 

  10. Dixon, W., and Chiswell, B. (1996). Review of aquatic monitoring program design.Water Research30(9), 1935–1948.

    Article  CAS  Google Scholar 

  11. Harmancioglu, N.B., Ozkul, S.D. and Alpaslan, M.N. (1998). Water quality monitoring and network design. In: N.B.Harmancioglu, V.P.Singh and M.N. Alpaslan (eds.)Environmental Data ManagementKluwer Academic Publishers, Water Science & Technology Library, vol.27, ch.4, pp.61–106.

    Google Scholar 

  12. Ward, R.C. and Loftis, J.C. (1986). Establishing statistical design criteria for water quality monitoring systems: Review and synthesis.Water Resources Bulletin AWRA 22(5), 759–767.

    Google Scholar 

  13. Schilperoort, T., and Groot, S. (1983) Design and optimization of water quality monitoring networks. Paper presented at theInternational Symposium on Methods and instrumentation for the Investigation of Groundwater Systems (MUGS)Noordwijkerhout, the Netherlands, May 1982, publication no.286.

    Google Scholar 

  14. Jager, H.I., Sale, M.J. and Schmayer, R.L. (1990). Cokriging to assess regional stream quality in the Southern Blue Ridge Province.Water Resources Research26(7), 1401–1412.

    Article  CAS  Google Scholar 

  15. Smith, R.A., Schwarz, G.E. and Alexander, R.B. (1997). Regional interpretation of water quality monitoring data.Water Resources Research33(12), 2781–2798.

    Article  CAS  Google Scholar 

  16. Esterby, S.R. (1986) Spatial heterogeneity of water quality parameters. In: A.H. Shaarawi and R.E. Kwiatkowski (eds.)Statistical Aspects of Water Quality MonitoringElsevier, pp. 1–16.

    Google Scholar 

  17. Moss, M.E. (1989). Water quality data in the information age. In: R.C. Ward, J.C. Loftis, and G.B. McBride (eds.)Proceedings International Symposium on the Design of Water Quality Information SystemsFort Collins, CSU Information Series No. 61, pp. 8–15.

    Google Scholar 

  18. Husain, T. (1989). Hydrologic uncertainty measure and network design. AWRAWater Resources Bulletin25, 527–534.

    Google Scholar 

  19. Harmancioglu. N. (1981). Measuring the information content of hydrological processes by the entropy concept.Ege University Journal of the Civil Engineering Faculty,Special Issue for the Centennial of Ataturk’s birthIzmir, pp. 13–40.

    Google Scholar 

  20. Harmancioglu, N.B., and Alpaslan, N. (1992). Water quality monitoring network design: A problem of multi-objective decision makingAWRA Water Resources BulletinSpecial Issue on “Multiple Objective Decision Making in Water Resources”, 28(1), 179–192.

    CAS  Google Scholar 

  21. Krstanovic. P.F., & Singh, V.P. (1993). Evaluation of rainfall networks using entropy: I.Theoretical development; Il. Application.Water Resources Management6, 279–314.

    Article  Google Scholar 

  22. Moss, M.E. (1997). On the proper selection of surrogate measures in the design of data collection networks. In: N.B. Harmancioglu, M.N. Alpaslan, S.D. Ozkul and V.P. Singh (eds.)Integrated Approach to Environmental Data Management SystemsKluwer Academic Publishers, NATO ASI Series, 2. Environment, vol. 31, pp.79–88.

    Google Scholar 

  23. Yang, Y. and Burn, D.H. (1994). An entropy approach to data collection network designJournal of Hydrology157, 307–324.

    Article  Google Scholar 

  24. Shannon, C.E., & Weaver, W. (1949).The Mathematical Theory of Communication.Urbana, Illinois, The University of Illinois Press.

    Google Scholar 

  25. Amorocho, J., and Espildora, B. (1973). Entropy in the assessment of uncertainty of hydrologic systems and modelsWater Resources Research9, 1511–1522.

    Article  Google Scholar 

  26. Chapman, T.G. (1986). Entropy as a measure of hydrologic data uncertainty aiid model performance.Journal of Hydrology,85, II 1–126.

    Google Scholar 

  27. Ozkul, S. (1996).Space/Time Design of Water Quality Monitoring Networks by the Entropy Method.Dokuz Eylul University,, Graduate School of Natural and Applied Sciences, Izmir, Ph. D. Thesis in Civil Engineering (Advisor: Nilgen B. Harmancioglu).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Harmancioglu, N.B., Ozkul, S.D. (2003). Entropy-based design considerations for water quality monitoring networks. In: Harmancioglu, N.B., Ozkul, S.D., Fistikoglu, O., Geerders, P. (eds) Integrated Technologies for Environmental Monitoring and Information Production. Nato Science Series, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0231-8_10

Download citation

  • DOI: https://doi.org/10.1007/978-94-010-0231-8_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-1399-7

  • Online ISBN: 978-94-010-0231-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics