Spatio - Temporal Probabilistic Environmental Modelling

نویسنده

  • PETER A. VANROLLEGHEM
چکیده

Water/air/soil pollution, changes in structure and function of ecosystems, soils, hydrology,..., deforestation, global warming, and others are some of the main environmental problems that mankind is facing now. These processes can be modelled on different scales and with different complexity. Sometimes, generic/empirical approaches are used but unfortunately, these do not account for uncertainty, spatial and temporal variability. Environmental variables are considered as single, crisp values. But in reality, an environmental output can vary in time and space and is characterised by uncertainty and other forms of variability. Uncertainty represents ignorance or measurement error and can partly be reduced through further research. Uncertainty is usually represented by a confidence band or interval. Variability represents inherent heterogeneity or diversity, which is not reducible through further measurements. Typically, the two most important sources of variability for environmental variables are spatial and temporal variability. The contribution of spatial variability to the total environmental variability can be quite high. For example, atrazine concentrations in the Belgian surface water can vary over more than five orders of magnitude. The goal of this paper is to present a sequence of environmental modelling frameworks, where each time, a component of the variability is explicitly considered and refined. This work is partly based on existing work and partly on new developments. As an illustration, references to case studies of exposure modelling of individual chemicals were made.

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تاریخ انتشار 2002