Chemical environmental models using data of uncertain quality

doi:10.1016/0020-7373(92)90021-C

International Journal of Man-Machine Studies

Volume 36, Issue 2, February 1992, Pages 327-336

https://doi.org/10.1016/0020-7373(92)90021-C Get rights and content

Abstract

Application of knowledge-based systems to modelling lake acidification is outlined. The approaches taken by our group are described, using expert systems to incorporate human understanding and qualitative reasoning in selection of models of progress of acidity, and to overcome the problems of data noise and scale variations in the spatial and temporal domains.

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Chemical environmental models using data of uncertain quality

Abstract

Environmental Software

Ecological Modelling

An expert system (USRFUN0) on RAISON Micro

Modelling the hydrological regimes in acidified watersheds

Water, Air and Soil Pollution

Changes in base cation concentrations due to freshwater acidification