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Eheart, J. Wayland Rahman, Mohammad Rezaur 2011-05-07T14:28:56Z 2011-05-07T14:28:56Z 10000-01-01 1991 In restoring polluted aquifers by hydraulic means, the parameters that characterize the aquifer are rarely known with certainty. To address this uncertainty, one may conservatively design the remediation system, so that the probability of failure to restore the aquifer is small. Alternatively, one may sample the aquifer to determine parameter values so that a less conservative remediation design may be successful. In this thesis, a method is presented for optimal incorporation of a sampling strategy into a reliable aquifer remediation design. Taking transmissivity as the uncertain parameter, the method identifies the aquifer sampling location that has the largest expected impact on the system cost, given a set of statistical parameters and a required probability of success. The cost of sampling may be compared to the predicted expected value of sampling, in terms of system cost savings, to determine whether or not the optimal sample is worth taking. The method uses a large number of equally likely realizations to represent the variation of the distributed parameter. The optimal remediation system design is determined for the set of realizations using a chance-constraint cost-optimization method. The method then calculates the expected design cost savings for each sampling location. This method is demonstrated through a hypothetical example case. Made available in DSpace on 2011-05-07T14:28:56Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9136707.pdf: 3439410 bytes, checksum: 6cb31148655bba14d104a4a68552b3ed (MD5) Previous issue date: 1991 Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T15:07:15Z Item is restricted indefinitely. Restriction data tranferred 2014-07-01T11:32:17-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission ETDs are only available to UIUC Users without author permission U of I Only AAI9136707 (UMI)AAI9136707 http://hdl.handle.net/2142/23837 eng Copyright 1991 Rahman, Mohammad Rezaur Engineering, Civil Environmental Sciences Optimal parameter sampling for aquifer remediation design under uncertainty text Engineering, Civil Environmental Sciences Engineering, Civil Environmental Sciences University of Illinois at Urbana-Champaign Dissertation Ph.D.