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DatoValore
TitleA decision support system for artificial recharge plant
AbstractThe need for artificial recharge plants is the results of the qualitative and quantitative worsening of groundwater resources due t increased pumping and waste water 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 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.
SourceWater science and technology 24 (9), pp. 331–342
Keywordswaterwater resource managementartificial rechargetreatment plantexpert system shell
JournalWater science and technology
EditorIWA Publishing, London,
Year1991
TypeArticolo in rivista
AuthorsMasciopinto, C., Palmisano, N., Tangorra, F. & Vurro
Text239755 1991 water water resource management artificial recharge treatment plant expert system shell A decision support system for artificial recharge plant Masciopinto, C., Palmisano, N., Tangorra, F. Vurro CNR Istituto di ricerca sulle Acque, Reparto di Bari. Istituto Di Scienza Della Formazione Universita Di Bari The need for artificial recharge plants is the results of the qualitative and quantitative worsening of groundwater resources due t increased pumping and waste water 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 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. 24 Articolo in rivista IWA Publishing 0273 1223 Water science and technology Water science and technology Water science and technology. Water sci. technol. costantino.masciopinto MASCIOPINTO COSTANTINO