Automatic Parameters Identification of Groundwater Model using Expert System
碩士 === 國立交通大學 === 土木工程系所 === 97 === Conventionally, parameters identification of groundwater model can be classified into manual parameters identification and automatic parameters identification using optimization method. Parameter searching in manual parameters identification requires heavily inter...
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ndltd-TW-097NCTU50150162015-10-13T14:53:16Z http://ndltd.ncl.edu.tw/handle/91961603798405589532 Automatic Parameters Identification of Groundwater Model using Expert System 應用專家系統於地下水模式自動化參數檢定之研究 Chen, Wei-Chi 陳韋圻 碩士 國立交通大學 土木工程系所 97 Conventionally, parameters identification of groundwater model can be classified into manual parameters identification and automatic parameters identification using optimization method. Parameter searching in manual parameters identification requires heavily interaction with the modeler. Therefore, the identified parameters value is interpretable by the modeler. However, manual method is a complicated and time-consuming work and requires groundwater modeling practice and parameters identification experiences to performing the task. Optimization-based identification is more efficient and convenient comparing to the manual one. Nevertheless, the parameters search in the optimization approach can not directly interactive with modeler and one can only examine the final results. Moreover, because of the simplification of the optimization model, the parameters value obtained by optimization-based identification may not be feasible in reality. In light of previous discussion, this study integrates a rule-based expert system and a groundwater simulation model, MODFLOW 96, to develop an automatic groundwater parameters identification system. The hydraulic conductivity and specific yield are the parameters to be calibrated in the system. Since the parameter value is automatic searched according the rules that are specified by modeler, it is efficient and the identified parameters value is more interpretable than that by optimized based approach. Beside, since the rules are easy to modify and adding, the system is flexible and can accumulate the expertise experiences. Several hypothesized cases were used to examine the system validity and capability. The result shows a good agreement between the identified and given parameter values and also demonstrates a great potential for extending the system to a fully function and practical field application system. Chang, Liang-Cheng 張良正 2008 學位論文 ; thesis 77 zh-TW |
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碩士 === 國立交通大學 === 土木工程系所 === 97 === Conventionally, parameters identification of groundwater model can be classified into manual parameters identification and automatic parameters identification using optimization method. Parameter searching in manual parameters identification requires heavily interaction with the modeler. Therefore, the identified parameters value is interpretable by the modeler. However, manual method is a complicated and time-consuming work and requires groundwater modeling practice and parameters identification experiences to performing the task. Optimization-based identification is more efficient and convenient comparing to the manual one. Nevertheless, the parameters search in the optimization approach can not directly interactive with modeler and one can only examine the final results. Moreover, because of the simplification of the optimization model, the parameters value obtained by optimization-based identification may not be feasible in reality.
In light of previous discussion, this study integrates a rule-based expert system and a groundwater simulation model, MODFLOW 96, to develop an automatic groundwater parameters identification system. The hydraulic conductivity and specific yield are the parameters to be calibrated in the system. Since the parameter value is automatic searched according the rules that are specified by modeler, it is efficient and the identified parameters value is more interpretable than that by optimized based approach. Beside, since the rules are easy to modify and adding, the system is flexible and can accumulate the expertise experiences. Several hypothesized cases were used to examine the system validity and capability. The result shows a good agreement between the identified and given parameter values and also demonstrates a great potential for extending the system to a fully function and practical field application system.
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author2 |
Chang, Liang-Cheng |
author_facet |
Chang, Liang-Cheng Chen, Wei-Chi 陳韋圻 |
author |
Chen, Wei-Chi 陳韋圻 |
spellingShingle |
Chen, Wei-Chi 陳韋圻 Automatic Parameters Identification of Groundwater Model using Expert System |
author_sort |
Chen, Wei-Chi |
title |
Automatic Parameters Identification of Groundwater Model using Expert System |
title_short |
Automatic Parameters Identification of Groundwater Model using Expert System |
title_full |
Automatic Parameters Identification of Groundwater Model using Expert System |
title_fullStr |
Automatic Parameters Identification of Groundwater Model using Expert System |
title_full_unstemmed |
Automatic Parameters Identification of Groundwater Model using Expert System |
title_sort |
automatic parameters identification of groundwater model using expert system |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/91961603798405589532 |
work_keys_str_mv |
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