Data-Model Issues in Environmental Impact Assessment

By Marina G. Erechtchoukova and Peter A. Khaiter.

Published by The Sustainability Collection

Format Price
Article: Print $US10.00
Article: Electronic $US5.00

Sustainable approach to environmental resource management requires comprehensive assessment of ecosystems state and its changes that may occur as a result of anthropogenic impact. Environmental assessment always deals with observation data. Models transform these data into information which forms a basis for sustainable decision making. Selection of representative data sets and appropriate models is always a concern for researchers and practitioners in the area of anthropogenic impact assessment. Data and models are interrelated. Their interdependence determines model utilization for a particular application and the quality of information generated by the model. Models impose specific requirements on data sets. In many cases, criteria of environmental assessment are formulated based on available observation data, but not from the needs of the decision makers. Thus, environmental data become a limiting factor of the selection of a model appropriate for sustainable decision making. The paper examines data-model interdependence and demonstrates how model properties can be used to suggest a feasible approach to acquire representative data sets for environmental impact assessment.

Keywords: Environmental Resource Assessment, Decision Making, Environmental Models, Model Uncertainty, Monitoring Design

The International Journal of Environmental, Cultural, Economic and Social Sustainability, Volume 3, Issue 6, pp.149-156. Article: Print (Spiral Bound). Article: Electronic (PDF File; 926.349KB).

Prof. Marina G. Erechtchoukova

Assistant Professor, Atkinson Faculty of Liberal and Professional Studies, York University, Toronto, Canada

Dr. Erechtchoukova is an Assistant Professor of Information Technology in the J.F. Atkinson Faculty of Liberal and Professional Studies, York University, Canada. She received her BS and MS degrees in Applied Mathematics and PhD in Computer Science. Author of more than 40 research papers. Fields of work: application of information technology for sustainable environmental resource management, data-driven and model-driven decision support, simulation modeling for environmental assessment.

Prof. Peter A. Khaiter

Atkinson Faculty of Liberal and Professional Studies, York University, Canada

Dr. Khaiter is an Assistant Professor of Information Technology in the J.F. Atkinson Faculty of Liberal and Professional Studies, York University, Canada. He received his BS and MS degrees in Economic Cybernetics, MS in Environmental Studies and PhD in Mathematical Modelling/Information Technology. Author of 50 research papers. Fields of work: sustainable development, socio-economic and ecological systems, economic valuation and management of natural resources, environmental economics, mathematical modelling of complex systems, information systems for environmental monitoring and sustainable management.

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