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dc.contributor.advisorCailas, Michael D.en_US
dc.contributor.authorStaehlin, Brian J.en_US
dc.date.accessioned2013-10-24T20:52:13Z
dc.date.available2013-10-24T20:52:13Z
dc.date.created2013-08en_US
dc.date.issued2013-10-24
dc.date.submitted2013-08en_US
dc.identifier.urihttp://hdl.handle.net/10027/10236
dc.description.abstractSampling programs must take into account balancing the costs of operation with the necessity of accurately characterizing a contaminated site. Sampling designs that call for hundreds of samples will often be pared down drastically due to cost-cutting procedures. The samples that are implemented must then be optimally placed in order to capture the necessary information at a site. This often does not occur and crucial information is lost. The objective of this study was to assess the applicability of the Local Index of Spatial Association (LISA) secondary sampling methods provided by Spatial Analysis and Decision Assistance (SADA) software using actual data from a United States Environmental Protection Agency (USEPA) Superfund site, as well as to identify and optimize the critical parameters of these LISA methods to gain a cost effective, practical, and reliable method to place secondary samples that will ensure the characterization of the spatial distribution of contamination. The limitations of the existing LISA parameters in SADA were observed. The LISA search window greatly affects the outcome of secondary sample designs. Guidelines were developed by mimicking real world conditions and applying them to the SADA parameters and using an iterative function for the LISA search window to develop a potential site sample distribution for each LISA secondary sample design. A methodology is recommended to reduce the redundancies that occur within the site sample distribution and that subsequently occur within the final secondary site sample design. It appears that the guidelines presented in this paper could make SADA a cost effective tool for use in Phase III and Phase IV environmental site assessments, brownfield redevelopment, or other environmental risk management or site remediation situations.en_US
dc.language.isoenen_US
dc.rightsen_US
dc.rightsCopyright 2013 Brian J. Staehlinen_US
dc.subjectsecondary samplingen_US
dc.subjectremediationen_US
dc.subjectbrownfielden_US
dc.subjectSuperfunden_US
dc.subjectSADAen_US
dc.subjectSpatial Analysis and Decision Assistanceen_US
dc.subjectLISAen_US
dc.subjectLocal Index of Spatial Associationen_US
dc.subjectGISen_US
dc.titleLocal Index Of Spatial Association (LISA) Optimization For Secondary Sample Designs In SADAen_US
thesis.degree.departmentSchool of Public Healthen_US
thesis.degree.disciplinePublic Health Sciences - Environmental and Occupational Health Sciencesen_US
thesis.degree.grantorUniversity of Illinois at Chicagoen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMS, Master of Scienceen_US
dc.type.genrethesisen_US
dc.contributor.committeeMemberCanar, Johnen_US
dc.contributor.committeeMemberTakoudis, Christosen_US
dc.type.materialtexten_US


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