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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| Published in | Water science and technology Vol. 24; no. 9; pp. 331 - 342 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
IWA Publishing
01.01.1991
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| Subjects | |
| Online Access | Get full text |
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| Abstract | 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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| AbstractList | 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. An expert system for use in designing systems for artificial recharge of groundwater is described. Two computer models: QUANAR (quantitative artificial recharge), which related to factors such as geology, climate and land availability and QUALAR (qualitative artificial recharge), which related to aspects such as water use and water treatment facilities are included. Two examples are outlined of the application of this approach to the design of recharge systems in U.S.A. and Israel. The standards for various water quality parameters in artificial recharge are appended. 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. Artificial groundwater recharge plants store surface water, imported water, and reclaimed water to protect underground freshwater in coastal aquifers against saltwater intrusion and to afford protection from land subsidence due to aquifer overexploitation. An expert system aiding in the design of an artificial recharge plant is described, which comprises a knowledge base, an inference engine, and a data base of facts related to the case under consideration. Each expert system component is detailed. Application of the expert system to an area of sand dunes near the Mediterranean cost has confirmed the validity of the systemic approach. |
| Author | Masciopinto, C Vurro, M Tangorra, F Palmisano, V |
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| Copyright | Copyright IWA Publishing Nov 1991 |
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| DOI | 10.2166/wst.1991.0262 |
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| Snippet | The need for artificial recharge plants is the result of the qualitative and quantitative worsening of groundwater resources due to increased pumping and... An expert system for use in designing systems for artificial recharge of groundwater is described. Two computer models: QUANAR (quantitative artificial... Artificial groundwater recharge plants store surface water, imported water, and reclaimed water to protect underground freshwater in coastal aquifers against... |
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| SubjectTerms | 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 |
| Title | A Decision Support System for Artificial Recharge Plant |
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