Teaching
Learning
Training
Advanced Technical Training Systems:   technology assisted learning

Syllabus for "blended learning" course of about 90 hours of lectures plus exercises on

    Environmental Impact Assessment:   Theory, methods, practice, examples
    in strategic and environmental impact assessment

designed as a one-year, two semester course with two lecture series, associated practical exercises, seminar (second semester), an optional introductory block of classroom lectures; implemented as a fully web-based distance learning solution with embedded simulation models for practical exercises.

Course content/lecture topics:

  1. EIA INTRODUCTION and OVERVIEW
    • Environmental Impact Assessment: EIA basics
    • What is EIA/SIA ? Principles and terminology, history, regulations and policy framework
    • Environmental Impacts: criteria, objectives
    • Environmental sciences: an introduction

  2. SCIENCE BACKGROUND, TOOLS AND METHODS
    • Laws of nature: physic and chemistry
    • Assessment basics: logic of analysis
    • First order logic, inference: IF THEN
    • Analysis and calculus, revisited: solving equations
    • Principles of statistical models
    • Non parametric statistics
    • Quantitative analysis: Epistemology revisited
    • General Systems Theory (Bertalanffy)
    • Cybernetics: feedback
    • Systems dynamics (Forrester, Odum)
    • Mathematical Ecology: (Lotka, Pielou)
    • Basics of economy: valuation, costs, benefits
    • Game theory, multi-attribute decision making
    • Rational Decision making

  3. EIA PROCESS, METHODS, TOOLS
    • Regulatory framework (US EPA, EU/EEA, WB, misc. national)
    • Scoping and screening
    • Project stages: Design, location, construction, operation, decommissioning
    • Baseline, information management
    • Predicting impacts: models and expert systems
    • Scenario analysis
    • Mitigation: principles and strategy
    • Project monitoring, follow up

  4. QUANTITATIVE ANALYSIS, DOMAINS
    • Principles of environmental sciences revisited
    • Growth: linear, exponential logistic,
    • Movement: spatial dynamics
    • Spatio-temporal systems: discretization
    • Land use dynamics (Markov state transition models)
    • Cellular automata, Conways Game of Life
    • Transport and dispersion
    • Meteorology and climate (change ?)
    • Urban and industrial air quality, long range transport
    • Hydrology, water resources, surface and groundwater
    • Coastal marine systems
    • Ecological footprint, urban water supply
    • Gravity models: explaining movements ?
    • Transportation systems (O/D matrix, equilibrium)
    • Uncertainty and error analysis
    • Ecosystem Services
    • Health Impact Assessment

  5. EIA APPLICATION EXAMPLES
    including exercises with embedded on-line simulation models
    • Site suitability, site selection: NYMBI
    • Urbanization: land use dynamics
    • Thermal power station: air pollution
    • Industrial district: multi media
    • Transportation systems
    • Waste management
    • Water resource IWRM, water quality
    • Coastal water quality, ICZM
    • Technological risk assessment (Seveso II)


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