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Content:
Vol.
10. No. 1 Spring 2010
Vol.
9, No.2
Fall 2009
Vol.
9, No.1 Spring 2009
Vol. 8, No.2
Fall 2008
Vol.
8, No.1 Spring 2008
Vol.
7, No. 2 Fall 2007
Vol.
7, No. 1 Spring 2007
Vol.
6, No. 2 Fall 2006
Vol.
6, No. 1 Spring 2006
Vol. 5, No. 2 Fall 2005
Vol.
5, No. 1 Spring 2005
Vol.
4, No. 2 Fall 2004
Vol.
4, No. 1 Spring 2004
Vol.
3, No. 2 Fall 2003
Vol.
3,
No. 1 Spring
2003
Vol. 2,
No. 2 Fall 2002
Vol. 2,
No. 1 Spring 2002
Vol. 1, No. 1 Fall 2001
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Tapesh K Ajmera
and
A. K. Rastogi
Abstract:
The present study focuses on the unexplored area of application
of artificial neural network in groundwater hydrology. Three
models, each based on artificial neural networks, are applied
for prediction of zonal transmissivity. These techniques can be
considered as black box models that can predict output values
for given range of input values after establishing an acceptable
relation which is obtained by training the system. The study is
based on coupling of Finite Element Method (FEM) - Artificial
Neural Network (ANN) model, which serve as forward (FEM) and
inverse (ANN) models. An inverse technique using ANN is
considered for estimating parameters of groundwater system. A
synthetic problem is examined for two different scenarios, the
first one involving the sink and/or sources terms and the
second, without these. Inverse model is applied to estimate
transmissivity of various zones (64 data pairs involving nodal
head and node coordinates) of aquifer domain. The performance
evaluation criteria are shown to have good agreement between
true transmissivity and estimated transmissivity, both at
training and testing stages.
Keywords:
Aquifer Parameter; Feed Forward Back Propagation;
Radial Basis Function;
Recurrent Artificial Neural Network; Inverse Modeling; Finite Element
Method;
Estimation of useful life of a reservoir using sediment trap
efficiency
Vaibhav Garg and V. Jothiprakash
Abstract
The most important practical and critical problem related to the
performance of reservoirs is the estimation of storage capacity
loss due to sedimentation process. The problem to be addressed
is to estimate the rate of sediment deposition and the period of
time at which the sediment would interfere with the useful
functioning of a reservoir. Fairly a large number of methods and
models are available for the estimation, analysis and prediction
of reservoir sedimentation process. However, these methods and
models differ greatly in terms of their complexity, inputs and
computational requirements. In the present study, the rate of
sedimentation and useful life time of a reservoir were estimated
using the trap efficiency (Te) approach. The
empirical relationship suggested by Brune (1953) to estimate
reservoir sediment Te and Gill (1979) approach
to estimate useful life of a reservoir are modified to suit
Gobindsagar Reservoir (Bhakra Dam) on Satluj River in Bilaspur
district, Himachal Pradesh, in the Himalayan region of India.
Based on Brune (1953) curves the sediments were found to be
mostly of coarse grained in nature. Bhakra Beas Management Board
(BBMB), the controlling agency of the reservoir, estimated that
the dead storage would be filled with sediments (useful life) in
142 years, considering sediments incoming mostly to be medium
grained in nature. By using the Capacity Inflow ratio (C/I),
Te, sediment density and different sediment
characteristics, in the present study, it is found that the
useful life of this reservoir is three fourth of the period
estimated by BBMB.
Keywords:
reservoir sedimentation; trap efficiency (Te);
capacity inflow ratio (C/I); useful life of reservoir; Brune
(1953) method; Gill (1979) method.
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JoSHJournal
of Spatial Hydrology
ISSN: 1530-4736