A Decision Support System for Artificial Recharge Plant

The need for artificial recharge plants is the result of the qualitative and quantitative worsening of groundwater resources due to increased pumping and wastewater discharge. This paper described a system that uses artificial intelligence techniques for designing an artificial recharge plant. The s...

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Bibliographic Details
Published inWater science and technology Vol. 24; no. 9; pp. 331 - 342
Main Authors Masciopinto, C, Palmisano, V, Tangorra, F, Vurro, M
Format Journal Article
LanguageEnglish
Published London IWA Publishing 01.01.1991
Subjects
Aquifers
Artificial intelligence
Artificial recharge
Case studies
Engineers
Expert systems
Geology
Groundwater
Knowledge bases (artificial intelligence)
Training
Wastewater
Wastewater discharges
Water flow
Water resources
Water use
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Summary:The need for artificial recharge plants is the result of the qualitative and quantitative worsening of groundwater resources due to increased pumping and wastewater discharge. This paper described a system that uses artificial intelligence techniques for designing an artificial recharge plant. The system can be used as a training tool for new engineers, as well as an aid in the choices for expert engineers. The system is an application of an expert system shell running on a common p.c. machine. The model is made up of two knowledge bases, respectively denoted as Quantity artificial recharge and Quality artificial recharge. The former is related to the quantitative aspects, such as geology, climate and land availability, the latter to qualitative aspects, such as water use and treatment plant. Two case studies have been implemented in order to confirm the validity of this kind of systemic approach.
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ISSN:0273-1223
1996-9732
DOI:10.2166/wst.1991.0262