Artificial neural networks as an alternative approach to groundwater numerical modelling and environmental design

Classical optimization methodologies based on mathematical theories have been developed for the solution of various constrained environmental design problems. Numerical models have been widely used to represent an environmental system accurately. The use of methodologies such as artificial neural ne...

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Vydáno v:Hydrological processes Ročník 22; číslo 17; s. 3337 - 3348
Hlavní autoři: Nikolos, Ioannis K, Stergiadi, Maria, Papadopoulou, Maria P, Karatzas, George P
Médium: Journal Article
Jazyk:angličtina
Vydáno: Chichester, UK John Wiley & Sons, Ltd 15.08.2008
Wiley
Témata:
algorithms
artificial neural networks
design for environment
differential evolution algorithm
Earth sciences
Earth, ocean, space
environmental design
Exact sciences and technology
Greece
groundwater management
Hydrogeology
hydrologic models
Hydrology. Hydrogeology
islands
neural networks
numerical modelling
pumps
system optimization
water table
wells
Greece
Rhode Island
Southern Europe
United States
Europe
Greece, Rhodes I
algorithms
neural networks
ground water
water table
environmental design
digital simulation
finite element analysis
North America
pumping
numerical modelling
artificial neural networks
hydraulics
differential evolution algorithm
aquifers
optimization
numerical models
water resource management
groundwater management
strategy
theory
ISSN:0885-6087, 1099-1085
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Shrnutí:Classical optimization methodologies based on mathematical theories have been developed for the solution of various constrained environmental design problems. Numerical models have been widely used to represent an environmental system accurately. The use of methodologies such as artificial neural networks (ANNs), which approximate the complicated behaviour and response of physical systems, allows the optimization of a large number of case scenarios with different set of constraints within a short period of time, whereas the corresponding simulation time using a numerical model would be prohibitive. In this paper, a combination of an ANN with a differential evolution algorithm is proposed to replace the classical finite-element numerical model in water resources management problems. The objective of the optimization problem is to determine the optimal operational strategy for the productive pumping wells located in the northern part of Rhodes Island in Greece, to cover the water demand and maintain the water table at certain levels. The conclusions of this study show that the use of ANN as an approximation model could (a) significantly reduce the computational burden associated with the accurate simulation of complex physical systems and (b) provide solutions very close to the optimal ones for various constrained environmental design problems. Copyright © 2008 John Wiley & Sons, Ltd.
Bibliografie:http://dx.doi.org/10.1002/hyp.6916
Greek General Secretariat for Research and Technology
ArticleID:HYP6916
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ISSN:0885-6087
1099-1085
DOI:10.1002/hyp.6916