ENTROPY BASED ASSESSMENT OF
HYDROMETRIC NETWORK USING NORMAL
AND LOG-NORMAL DISTRIBUTIONS
N. Vivekanandan. ENTROPY BASED ASSESSMENT OF HYDROMETRIC NETWORK USING NORMAL AND LOG-NORMAL DISTRIBUTIONS, 1 (1):
33-42(May 2014)
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
%0 Journal Article
%1 noauthororeditor
%A Vivekanandan, N.
%D 2014
%E Mathematics, Applied
%E ), Sciences: An International Journal (MathSJ
%J ENTROPY BASED ASSESSMENT OF HYDROMETRIC NETWORK USING NORMAL AND LOG-NORMAL DISTRIBUTIONS
%K Entropy Log-normal Marginal Network Stream Transinformation flow
%N 1
%P 33-42
%T ENTROPY BASED ASSESSMENT OF
HYDROMETRIC NETWORK USING NORMAL
AND LOG-NORMAL DISTRIBUTIONS
%U http://airccse.com/mathsj/papers/1114mathsj03.pdf
%V 1
%X 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
@article{noauthororeditor,
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},
added-at = {2018-03-16T07:00:38.000+0100},
author = {Vivekanandan, N.},
biburl = {https://www.bibsonomy.org/bibtex/2cd121c4a31edf59114213f2696b3126b/mathsj},
editor = {Mathematics, Applied and ), Sciences: An International Journal (MathSJ},
interhash = {4776f30df9d2a493dcc4ebe7a14c58c2},
intrahash = {cd121c4a31edf59114213f2696b3126b},
issn = {2200-0011},
journal = {ENTROPY BASED ASSESSMENT OF HYDROMETRIC NETWORK USING NORMAL AND LOG-NORMAL DISTRIBUTIONS},
keywords = {Entropy Log-normal Marginal Network Stream Transinformation flow},
language = {english},
month = may,
number = 1,
pages = {33-42},
timestamp = {2018-03-16T07:00:38.000+0100},
title = {ENTROPY BASED ASSESSMENT OF
HYDROMETRIC NETWORK USING NORMAL
AND LOG-NORMAL DISTRIBUTIONS},
url = {http://airccse.com/mathsj/papers/1114mathsj03.pdf},
volume = 1,
year = 2014
}