Expert Systems To Support Environmental Sampling, Analysis, and Data Validation

Olivero, Ramon A.; Bottrell, D.

doi:10.1021/bk-1990-0431.ch005

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1992

1997

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“…See knowledge base. Also see the following references: Coulson et al, 1987;Fang et al, 1990;Olivero and Bottrell, 1990;and Schmuller, 1990. EXPOSURE -(i) The amount of radiation or pollutant present in an environment which represents a potential health threat to the living organisms in that environment; (ii) Human contact with a physical, chemical or biological agent through dermal absorption, inhalation or ingestion.…”

Section: Appendix Amentioning

confidence: 99%

A Guide for Site and Soil Description in Hazardous Waste Site Characterization

Cameron¹

1992

Superfund Risk Assessment in Soil Contamination Studies

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Section: Appendix Amentioning

confidence: 99%

A Guide for Site and Soil Description in Hazardous Waste Site Characterization

Cameron¹

1992

Superfund Risk Assessment in Soil Contamination Studies

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Grundlagen

Förstner¹

1995

Umweltschutztechnik

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Expert Systems in Solid Waste Management

Basri

Stentiford

1995

Waste Manag Res

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Artificial intelligence, and expert systems in particular, are an exciting and relatively new application of computers. They provide new opportunities for harnessing the scarce and often scattered pieces of valuable knowledge and experience in solid waste management which at present is in the possession of the privileged few. While conventional algorithmic programming replaced much of the sophisticated and repetitive analytical work of the solid waste practitioner, expert systems are poised to take over the no-less important tasks of the ill-structured and less-deterministic parts of the planning, design and management processes. Endeavours in other branches of engineering to utilise this new computing technology indicate that solid waste expertise in various forms has a tremendous potential to be encoded successfully in expert systems. This state-of-the-art review presents a background of expert systems technology followed by guidelines to its successful implementation in the solid waste management domain. Key Words—Computer applications, expert systems, knowledge-based systems, solid waste management.

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Expert Systems To Support Environmental Sampling, Analysis, and Data Validation

Cited by 4 publications

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A Guide for Site and Soil Description in Hazardous Waste Site Characterization

A Guide for Site and Soil Description in Hazardous Waste Site Characterization

Grundlagen

Expert Systems in Solid Waste Management

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