Inderscience Publishers

Modelling nitrate pollution of groundwater using artificial neural network and genetic algorithm in an arid zone

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This paper presents a hybrid approach to analyse nitrate pollution based on an Artificial Neural Network (ANN) and Genetic Algorithm (GA). This makes it possible to compute the amount of nitrate in different time-scales easily without employment of confusing complicated mathematical equations. Generally, the results of the current research could be useful in management purposes and also for beneficiaries of groundwater. Isfahan province, located in a dry region of Iran, was chosen as the study area.

Keywords: nitrate pollution, water quality, groundwater pollution, water pollution, ANNs, artificial neural networks, GAs, genetic algorithms, dry land, arid zones, Iran

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