A seminar on “Integrated Environmental Monitoring and Modelling Framework for Cumulative Effect Assessment”

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A seminar on “Integrated Environmental Monitoring and Modelling Framework for Cumulative Effect Assessment”

December 4, 2019 @ 10:00 am - 11:30 am

A  seminar on “Integrated Environmental Monitoring and Modelling Framework for Cumulative Effect Assessment”

A seminar on “Integrated Environmental Monitoring and Modelling Framework for Cumulative Effect Assessment”

Date: Wednesday, 4 December 2019
Time : 10.00-11.30 hrs.
Venue: Room N202, SET Building


Understanding the complex nature of environmental problems requires a comprehensive approach that integrates different environmental processes across major components of the environment such as water, climate, ecology, air, and social aspects. The increasing dissatisfaction resulting from disjointed and narrowly-focused environmental management approaches has recently encouraged the use of integrated environmental modelling approaches. This is especially the case for investigating the responses of environmental processes to the cumulative effects of stressors –known as cumulative effects assessment (CEA). Integrated environmental modelling refers to coupling numerical or conceptual models to solve complex real-world problems involving the environment and its relationship to human systems and activities. A variety of models have been developed to investigate the processes of each individual environmental component and the way they interact with each other using integrated modelling frameworks. Such frameworks are often the only way to take into account the important environmental processes, interactions, relevant spatial and temporal scales, and feedback mechanisms of complex systems for CEA. However, the main obstacle is the uncertainty as to whether an applied modelling system meets its intended purposes and sufficiently represents reality, which is reinforced by a lack of clear understanding of models’ mechanisms. This study proposes a multilayered integrated modelling framework consisting of a core and three supporting layers. The core consists of a comprehensive physical integrated watershed modelling system. The three layers support the core, respectively, with (i) specific applications when a detailed cumulative effects assessment is required, (ii) predictive modelling through scenario building for various system drivers such as climate change, land use, atmospheric depositions, development trajectories etc. and (iii) the interrelations between the social and economic factors with physical components of the environmental modelling system to fill the gaps between policy development, decision-making, and science. The proposed physical integrated environmental modelling framework introduces an approach to fill the gap between CEA and the socio-environmental system. Its novelty lies in the combination of individual-based and spatially-distributed physical models within the socio-environmental system paradigm, to capture the complexity and uncertainty inherent to these systems. Following the concept introduced in the proposed modelling framework, a conceptual model for integrated modelling is being developed to serve as a foundation for implementing the much desired integrated environmental modelling system for cumulative effects assessment in oil sands region at various scales.

Brief Bio Data:

Dr. Anil Gupta is an AIT alumni and received his DEng degree in Water Resources Engineering in 1994. He is a professional engineer with more than 25 years of experience in the field of environment in various capacities - educator; engineering consultant; program manager; United Nations advisor; hydrologists; and senior leadership. He is currently working with the Government of Alberta as Director in the Department of Environment and Parks. He is also an Adjunct Professor in the Department of Geomatics Engineering at the University of Calgary. His research interests include environmental monitoring, integrated environmental modelling, climate change, land use and land cover changes and hydrology.

Kindly register your participation @ yanee@ait.ac.th or 02 524 6146 to enable us to make a better logistics.


December 4, 2019
10:00 am - 11:30 am


Asian Institute of Technology