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Automatic Parameters Identification of Groundwater Model Using Expert System

Author(s): Chen-Che Pan; Jui-Pin Tsai; Liang-Cheng Chang; Yu-Wen Chen

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Abstract: Groundwater simulation models are widely used to analyze groundwater problem. However, before applying groundwater simulation models, the parameters in them have to be specified and many of the parameters in groundwater models can not be measured forthright from the physical perspective and shall be determined from historical observations. Expert system has been used to facilitate parameter identification in recent years. Conventional expert systems for parameter calibration are semi-automatic calibration system and require the interaction between user and the system. This study integrates a rule-based expert system and a groundwater simulation model to develop an automatic groundwater parameters calibration system (RBMS). The system computes the parameter value automatically through inferring the parameter adjusting rules without extensively interacting with system user. The rules can be structured or non-structured. In this stage, the hydraulic conductivity and specific yield are the major parameters to be calibrated in the system. Several hypothesized cases were used to examine RBMS capability, and the results demonstrate that the system can identify accurate parameter value. Beside the parameter values, the parameters estimation process is also easier to interpret than using only optimization method. By using this automatic calibration system, novice users can obtain similar results to that of professional experts.

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Year: 2009

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