Optimal parameter sampling for aquifer remediation design under uncertainty

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Engineering, Civil

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Rahman, Mohammad Rezaur

Contributors dc:contributor

• Eheart, J. Wayland

• Engineering, Civil
• Environmental Sciences

Statement dc:rights

• Copyright 1991 Rahman, Mohammad Rezaur

Language dc:language

eng

Identifier

AAI9136707
(UMI)AAI9136707

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/23837