A Bayesian Framework for Groundwater Quality Assessment

Shihab, Khalil; Al-Chalabi, Nida

doi:10.1007/978-3-540-24677-0_75

Cited by 2 publications

(1 citation statement)

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“…In our previous study we considered the dependencies between only thee constituents, namely the total dissolved solids (TDS), electrical conductivity (EC), and water pH [15]. In this work, however, we expanded our study to include the chemical oxygen demand (COD) and Nitrate (N03).…”

Section: Bayesian Networkdevelopmentmentioning

confidence: 98%

Use of a Bayesian network decision tool for water quality assessment

Al-Chalabi

Shihab

2008

2008 International Symposium on Information Technology

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Groundwater resources in Oman are considered very precious and play a great role in the economical development. However, groundwater contamination is one of the major concerns facing the country and, therefore, it needs an accurate measurement technique. In this work, the Bayesian Technique is applied to groundwater quality data sets obtained from various locations in the Salalah area to the south of Oman. This technique emphasizes not only theprobabilistic dependencies between pollutants but also the precision and the accuracy of the tested methods used by environmental laboratories. First, we present a new technique for data preprocessing. Then we describe the network models we developed, as l1ell as the methods used to build these models. Various challenges, such as acquiring groundwater datasets, identifying pollutants and anticipating potential problem contaminants, are addressed. Finally, we present the results of applications of these models.

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Section: Bayesian Networkdevelopmentmentioning

confidence: 98%