HR: 0800h
AN: H21C-0701    [Abstracts]
TI: How do primary and secondary information affect the results of parameter identification for groundwater modeling?
AU: * Wu, C
EM: wucm0124@yuntech.edu.tw
AF: Research Center for Soil & Water Resources and Natural Disaster Prevention, National Yunlin University of Science & Technology, 123, section 3, university Rd.Douliou, Yunlin, 64002, Taiwan
AU: Wen, J
EM: wenjc@yuntech.edu.tw
AF: Research Center for Soil & Water Resources and Natural Disaster Prevention, National Yunlin University of Science & Technology, 123, section 3, university Rd.Douliou, Yunlin, 64002, Taiwan
AU: Tsai, M
AF: Department of Engineering Science and Technology, 123, section 3, university Rd.Douliou, Yunlin, 64002, Taiwan
AB: Geostatistical inverse problems always utilize both primary information and secondary information to identify subsurface parameters. Many articles investigated inverse algorithms that were used to estimate unknown parameters in a subsurface system, but few of them explore what role the primary and secondary information play and how they affect the results of parameter identification. The main theme of this article is to investigate how the results of identification are affected by head observations quantitatively and qualitatively. The cokriging technique is used as an interpolation tool for estimating unknown parameters in the system. Through several numerical examples the paper demonstrates and answers this question. Keywords: inverse problem, primary information, secondary information, cokriging technique
DE: 1800 HYDROLOGY
DE: 1829 Groundwater hydrology
DE: 1832 Groundwater transport
DE: 1839 Hydrologic scaling
SC: Hydrology [H]
MN: 2007 Fall Meeting