標題: Using a hybrid approach to optimize experimental network design for aquifer parameter identification
作者: Chang, Liang-Cheng
Chu, Hone-Jay
Lin, Yu-Pin
Chen, Yu-Wen
土木工程學系
Department of Civil Engineering
關鍵字: Groundwater;Experimental design;Genetic algorithm
公開日期: 1-十月-2010
摘要: This research develops an optimum design model of groundwater network using genetic algorithm (GA) and modified Newton approach, based on the experimental design conception. The goal of experiment design is to minimize parameter uncertainty, represented by the covariance matrix determinant of estimated parameters. The design problem is constrained by a specified cost and solved by GA and a parameter identification model. The latter estimates optimum parameter value and its associated sensitivity matrices. The general problem is simplified into two classes of network design problems: an observation network design problem and a pumping network design problem. Results explore the relationship between the experimental design and the physical processes. The proposed model provides an alternative to solve optimization problems for groundwater experimental design.
URI: http://dx.doi.org/10.1007/s10661-009-1157-5
http://hdl.handle.net/11536/32155
ISSN: 0167-6369
DOI: 10.1007/s10661-009-1157-5
期刊: ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume: 169
Issue: 1-4
起始頁: 133
結束頁: 142
顯示於類別:期刊論文


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