Description

Book Synopsis
This book discusses the development of the decision support system for groundwater pollution assessment, one of the first integrated information systems in the field of hydrogeology, reflecting the purpose of knowledge encapsulation in the field of groundwater quality management.

Table of Contents
Abstract -- Acknowledgements -- Frequently used acronyms -- 1.Introduction -- 2.Encapsulation of knowledge for groundwater quality management -- 2 .1 Introduction -- 2.2 Software review -- 2.3 Groundwater quality management in the light of knowledge encapsulation -- 2.3.1 Site characterisation -- 2.3.2 Groundwater m odelling -- 2.3.3 Groundwater vulnerability assessment -- 2.3.4 Groundwater rem ediation -- 2.4 Artificial Intelligence -- 2.4.1 Reasoning and knowledge representation -- 2.4.2 Case-based reasoning -- 2.4.3 Application of AI in groundwater quality management -- 2.5 Concluding comments -- 3.Development of a Decision Support System (DSS): main considerations and framework -- 3.1 Introduction -- 3.2 A DSS as an integrated software system -- 3.3 A DSS as an integrated information system -- 3.4 A DSS for Groundwater Pollution Assessment - the framework -- 3.5 The DSS knowledge component -- 3.6 Summary -- 4.Knowledge-Based Module for Site Characterisation (SCM) -- 4.1 Introduction -- 4.2 Background -- 4.3 Module content and organisation -- 4.3.1 Task Unit ANALYSIS -- 4.3.2 Other Task Units -- 4.3.3 Discussion -- 4.4 Software development and integration -- 4.4.1 Hypertext and knowledge representation -- 4.4.2 Other SCM features -- 4.4.3 A daptability -- 4.4.4 Integration -- 4.5 Examples -- 4.5.1 Hydraulic conductivity -- 4.5.2 Solubility -- Annex: glossary -- 5.Knowledge-Based Module for Vulnerability Assessment (VAM) -- 5.1 Introduction -- 5.2 Groundwater vulnerability in theory and practice -- 5.3 Description of methodology -- 5.3.1 Likelihood of release and aquifer pollution -- 5.3.2 Contaminant severity -- 5.3.3 Pathway activity -- 5.3.4 Target exposure -- 5.3.5 Overall assessment score -- 5.3.6 Discussion -- 5.3.7 Testing aggregation procedure -- 5.4 Software development and integration -- 5.5 Case study -- 6.Knowledge-Based Module for Groundwater Pollution Modelling (GMM) -- 6.1 Introduction -- 6.2 Definition and ordering of modelling tasks -- 6.3 Knowledge acquisition -- 6.3.1 Define Purpose -- 6.3.2 Model Conceptualisation -- 6.3.3 Modelcode Selection -- 6.3.4 Model Design -- 6.3.5 Calibration and Predictive Simulations -- 6.3.6 Modelling Report -- 6.4 Knowledge systematisation and formalisation -- 6.5 Software development and integration -- 6.5.1 GMM software -- 6.5.2 REPORTER -- 6.5.3 Modelling environment -- 7.Concluding remarks -- References -- Annex: Beyond engineering -- Sam envatting -- Curriculum Vitae.

Development of a Decision Support System for

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    A Paperback / softback by N. Kukuric

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      Publisher: A A Balkema Publishers
      Publication Date: 01/01/1999
      ISBN13: 9789054104186, 978-9054104186
      ISBN10: 905410418X

      Description

      Book Synopsis
      This book discusses the development of the decision support system for groundwater pollution assessment, one of the first integrated information systems in the field of hydrogeology, reflecting the purpose of knowledge encapsulation in the field of groundwater quality management.

      Table of Contents
      Abstract -- Acknowledgements -- Frequently used acronyms -- 1.Introduction -- 2.Encapsulation of knowledge for groundwater quality management -- 2 .1 Introduction -- 2.2 Software review -- 2.3 Groundwater quality management in the light of knowledge encapsulation -- 2.3.1 Site characterisation -- 2.3.2 Groundwater m odelling -- 2.3.3 Groundwater vulnerability assessment -- 2.3.4 Groundwater rem ediation -- 2.4 Artificial Intelligence -- 2.4.1 Reasoning and knowledge representation -- 2.4.2 Case-based reasoning -- 2.4.3 Application of AI in groundwater quality management -- 2.5 Concluding comments -- 3.Development of a Decision Support System (DSS): main considerations and framework -- 3.1 Introduction -- 3.2 A DSS as an integrated software system -- 3.3 A DSS as an integrated information system -- 3.4 A DSS for Groundwater Pollution Assessment - the framework -- 3.5 The DSS knowledge component -- 3.6 Summary -- 4.Knowledge-Based Module for Site Characterisation (SCM) -- 4.1 Introduction -- 4.2 Background -- 4.3 Module content and organisation -- 4.3.1 Task Unit ANALYSIS -- 4.3.2 Other Task Units -- 4.3.3 Discussion -- 4.4 Software development and integration -- 4.4.1 Hypertext and knowledge representation -- 4.4.2 Other SCM features -- 4.4.3 A daptability -- 4.4.4 Integration -- 4.5 Examples -- 4.5.1 Hydraulic conductivity -- 4.5.2 Solubility -- Annex: glossary -- 5.Knowledge-Based Module for Vulnerability Assessment (VAM) -- 5.1 Introduction -- 5.2 Groundwater vulnerability in theory and practice -- 5.3 Description of methodology -- 5.3.1 Likelihood of release and aquifer pollution -- 5.3.2 Contaminant severity -- 5.3.3 Pathway activity -- 5.3.4 Target exposure -- 5.3.5 Overall assessment score -- 5.3.6 Discussion -- 5.3.7 Testing aggregation procedure -- 5.4 Software development and integration -- 5.5 Case study -- 6.Knowledge-Based Module for Groundwater Pollution Modelling (GMM) -- 6.1 Introduction -- 6.2 Definition and ordering of modelling tasks -- 6.3 Knowledge acquisition -- 6.3.1 Define Purpose -- 6.3.2 Model Conceptualisation -- 6.3.3 Modelcode Selection -- 6.3.4 Model Design -- 6.3.5 Calibration and Predictive Simulations -- 6.3.6 Modelling Report -- 6.4 Knowledge systematisation and formalisation -- 6.5 Software development and integration -- 6.5.1 GMM software -- 6.5.2 REPORTER -- 6.5.3 Modelling environment -- 7.Concluding remarks -- References -- Annex: Beyond engineering -- Sam envatting -- Curriculum Vitae.

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