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Parallelization of the Uncertainty Analysis in Environmental Models. Edition No. 1
VDM Publishing House, June 2008, Pages: 104
This book describes an approach to construct a decision support system from results of a non-point source (NPS) pollution model using high performance computing, and by distributing work load between client and server. A review of NPS models and a survey of techniques used for constructing decision-support software systems are given. The NPS model selected for this investigation was the Guelph model for evaluating effects of Agricultural Management systems on Erosion and Sedimentation (GAMES).
The graphical probability model consists of a network of nodes that represent individual parameters, or variables for fields, in a watershed. Directed links indicate relationships between variables. The complete graph thus has directed links that follow the drainage network of the watershed. The relationships, or links, between the nodes are quantified by way of data derived by Monte Carlo simulation of the GAMES model and by deterministic functions as specified in GAMES.
Probability models were developed for two Southern Ontario watersheds, and the Guelph cluster of Shared Hierarchical Academic Computing Network (SHARCNET) was used as a high performance computing environment.
Markiyan Sloboda, MSc: Studied Computing and Information Science at the University of Guelph. PhD Student and a Research Assistant at the University of Guelph, Guelph, Ontario in collaboration with the National Water Research Institute, Environment Canada, Burlington, Ontario.