Analysis of Water Chemical Contaminants: A Comparative Study
نویسنده
چکیده
Increasing the degradation of groundwater quality in Oman by salinization and chemical contaminants threaten primary sources of drinking water, especially in the coastal agricultural areas. This work elaborates the quality deterioration of groundwater due to chemical contaminants. First, we describe the development and application of Dynamic Bayesian Networks (DBNs) to determine the impact of these contaminants on groundwater quality. Second, we discuss and compare the results produced by these methods with that produced by the applications of neural networks and by the applications of classical time series models.
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