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Expert Systems and Geographic Information Systems for Impact Assessment (Paperback): Agustin Rodriguez-Bachiller, John Glasson Expert Systems and Geographic Information Systems for Impact Assessment (Paperback)
Agustin Rodriguez-Bachiller, John Glasson
R2,300 Discovery Miles 23 000 Ships in 12 - 19 working days


Contents:
PART ONE
Chapter 1
1. Introduction
2. Expert Systems: what about space?
3. Geographical Information Systems: more than display tools?
4. GIS problems and potential
5. Impact Assessment: ripe for automation?
6. The IA process
7. Environmental Statements
8. Integration: the way ahead?
REFERENCES

Chapter 2
1. Introduction
2. Expert Systems and Artificial Intelligence
2.1.The classical period
2.2.The romantic period
2.3.The modern period
2. Expert systems: structure and design
3. The promise of Expert Systems?
4. From Expert Systems to Decision Support Systems
5. Conclusions: expert systems are dead, long live expert systems?
REFERENCES

Chapter 3
1. Introduction
2. Impact Assessment and Environmental Management
3. The role of GIS
4. GIS for Impact Assessment
4.1. GIS mapping for Impact Assessment
4.2. GIS linked to external models for IA
4.3. Using GIS' own functionality for IA
4.4. Multi-purpose GIS systems
5. Conclusions
REFERENCES

Chapter 4
1. Introduction
2. GIS for environmental mapping and management
3. GIS linked to external models for environmental management
3.1.Water modelling
3.2.GIS and other environmental modelling
3.3.GIS for model design and development
3.4.GIS and other modelling approaches
4. Using GIS' own functionality for environmental management
4.1.Pre-programmed GIS applications
5. General-purpose environmental management systems
6. Conclusions
REFERENCES

Chapter 5
1. Introduction
2. Expert Systems without GIS for Environmental Assessment
2.1.Expert Systems without GIS for Impact Assessment
2.2.Expert Systems without GIS for environmental management
3. Expert Systems with GIS
3.1.GIS and Expert Systems: methodological issues
3.1.1.Methodological issues: visualisation
3.1.2.Methodological issues: classification
3.2.GIS and Expert Systems in the Regional Research Laboratories
3.2.1.The RRLs Research Agenda
3.2.2.RRL-related work and publications
3.3.3.GIS and AI in the RRLs: conclusions
3.3.ES and GIS for Impact Assessment
3.4.ES and GIS for Environmental Management
4. Decision Support Systems (and ES) with GIS
4.1.GIS and DSS for Impact Assessment
4.2.GIS and DSS for Environmental Management
5. Conclusions
REFERENCES

PART TWO
Chapter 6
1. Introduction
2. The logic of Project Screening
3. The SCREEN Expert System at Oxford Brookes University
4. Scoping
5. The SCOPE Expert System at Oxford Brookes University
6. Adding GIS to the SCREEN-SCOPE suite at Oxford Brookes
6.1.Procedures linking ES and GIS
6.2.Evaluating the GIS links
7. Conclusions
REFERENCES

Chapter 7
1. Intrduction
2. Air Pollution
2.1.Project design and location
2.2.Baseline assessment
2.3.Impact prediction and assessment
2.3.1.Variations in the modelling approach
2.3.2.Model output and accuracy
2.4.Mitigation measures
3. Noise
3.1.Project design
3.2.Noise baseline assessment
3.3.Noise-impact prediction
3.3.1.Construction noise
3.3.2.Traffic noise
3.3.3.Vibration
3.3.4.Re-radiated noise
3.4.Mitigation
4. Conclusions: expert systems for air-pollution and noise impact assessment
REFERENCES

Chapter 8
1. Introduction
2. Terrestrial Ecology
2.1.Project characteristics and potential impacts
2.2.Area characterisation and ecological baseline
2.3.Quality assessment
2.4.Impact assessment
2.5.Mitigation
3. Landscape impact assessment
3.1.Project characteristics
3.2.Area of study
3.3.Preliminary landscape quality assessment
3.4.Field study and baseline assessment
3.5.Impact assessment
3.6.Mitigation
4. Conclusions: the limits of expert systems
REFERENCES

Chapter 9
1. Introduction
2. Socio-economic impacts
2.1.Understanding the project
2.2.Understanding the baseline
2.3.Economic impact prediction
2.3.1.The multiplicand
2.3.2.The multiplier
2.3.2.1.Location Quotients
2.4.Social impact prediction
2.5.Impact significance
2.6.Mitigation
3. Traffic impacts
3.1.The development project
3.2.Baseline study
3.3.Traffic generation
3.4.Impact assessment
3.4.1.Loop-back
3.5.Mitigation
4. Conclusions: expert systems and models, problems and choices
REFERENCES

Chapter 10
1. Introduction
2. The project
3. Hydrogeology: the baseline
3.1.Hydrogeological impacts
3.2.Hydrogeological mitigation and monitoring
4. Water quantity and quality: the baseline
4.1.Water quantity impacts
4.2.Water quality impacts
4.3.Water use impacts
4.4.Water impact mitigation
5. Freshwater ecology impact assessment: the baseline
5.1.Freshwater ecology impacts and mitigation
6. Coastal water ecology impact assessment: the baseline
6.1.Coastal water ecology impacts and mitigation
7. Conclusions: impact sequences
REFERENCES

Chapter 11
1. Meta-assessment: reviewing Environmental Statements
2. The building blocks of the assessment
3. Evaluation
3.1.Scoring individual aspects
3.2.Overall evaluation
4. Conclusions: expert systems for highly structured quantity-quality conversions
REFERENCES

Chapter 12
1. Expert Systems for Impact Assessment
2. Conclusions: the limits of Expert Systems and GIS
2.1.GIS and IA in retrospect
2.2.Expert Systems and IA in retrospect
3. Conclusions
REFERENCES

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