Entropy based assessment of hydrometric network using probabilistic approach

Vivekanandan N.*
*Central Water and Power Research Station, Pune, Maharashtra, India
Periodicity:September - November'2013
DOI : https://doi.org/10.26634/jste.2.3.2588

Abstract

Establishment and maintenance of a hydrometric network in any geographical region is required for planning, design and management of water resources. Setting up and maintaining a hydrometric network is an evolutionary process, wherein a network is established early in the development of the geographical area; and the network reviewed and upgraded periodically to arrive at the optimum network. This paper presents the methodology adopted in assessing the hydrometric network using entropy theory adopting normal and log-normal probability distributions. The technique, involving computation of marginal and conditional entropy values, is applied to the upper Bhima basin up to Ujjani reservoir for illustrative purposes; and results presented. The derived optimum hydrometric network for the basin is evaluated based on WMO guidelines for minimum density of hydrometric network.

Keywords

Entropy, Log-normal, Marginal, Network, Stream flow, Transinformation.

How to Cite this Article?

Vivekanandan, N. (2013). Entropy based assessment of hydrometric network using probabilistic approach. i-manager’s Journal on Structural Engineering, 2(3), 26-31. https://doi.org/10.26634/jste.2.3.2588

References

[1]. Yang Y. and Burn D.H. (1994); “An entropy approach to data collection network design”, Journal of Hydrology, Vol. 157 (4), pp 307-324.
[2]. Ozkul S., Harmanucioglu N.B. and Singh P.V. (2000); “Entropy based assessment of water quality monitoring networks”, ASCE Journal of Hydrologic Engineering, Vol. 5(1), pp 90-99.
[3]. Markus M., Knapp H.V. and Tasker G.D. (2003); “Entropy and generalized lease square methods in assessment of the regional value of stream gauges”, Journal of Hydrology, Vol. 283 (1-2), pp 107-121.
[4]. Sarlak N. and Sorman U.A. (2006); “Evaluation and selection of stream flow network stations using entropy methods”, Turkey Journal of Engineering and Environmental Science, Vol. 30 (2), pp 91-100.
[5]. Yoo C., Jung K. and Lee J. (2008); “Evaluation of rain gauge network using entropy theory: Comparison of mixed and continuous distribution function applications”, ASCE Journal of Hydrologic Engineering, Vol. 13 (4), pp 226-235.
[6]. Jairaj P.G. and Remya A.R. (2009); “Rainfall station network optimization using entropy method”, Proc. of International Conference on Water, Environment, Energy and Society, pp 891-897.
[7]. Ridolfi E., Montesarchio V., Russo F. and Napolitano F. (2011); “An entropy approach for evaluating the maximum information content achievable by an urban rainfall network”, Natural Hazards and Earth System Sciences, Vol. 11 (7), pp 2075–2083.
[8]. Shannon C.E. (1948); “A mathematical theory of communication”, The Bell System Technical Journal, Vol. 27, October issue, pp 625-656.
[9]. Jordan A. Clayton and Jason W. Kean (2010); “Establishing a multi-scale stream gauging network in the Whitewater river basin”, Water Resources Management, Vol. 24 (13), pp 3641-3664.
[10]. N. Vivekanandan and Rahul S. Jagtap (2012); “Evaluation and Selection of Rain Gauge Network using Entropy”, Journal of Institution of Engineers (Series A), Vol. 93 (4), pp 223-232.
[11]. Government of Maharashtra (GoM, 1999); Report of the Maharashtra water and irrigation commission,Vol. 5.
[12]. World Meteorological Organization (WMO, 1994); Guide to Hydrological Practices, Report No. 168, Geneva.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.