{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/83371"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/83371","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Nature's Sensors: Using Plants as an Alternative Monitoring Approach for Subsurface Contamination","abstract":"Finally, methods to incorporate plant sampling with traditional monitoring techniques were explored at the Argonne phytoremediation site. The impacts on uncertainty estimation and optimal sampling schemes at the site from the inclusion of plant sampling were evaluated. Four methods were compared while evaluating uncertainty; entropy was found to be the most sensitive measure of uncertainty estimation at the site. Optimal sampling plans generated using a non-dominated sorted genetic algorithm found that uncertainty was reduced significantly with a marginal increase in cost when most of the samples collected were plant samples.","abstract_html":"Finally, methods to incorporate plant sampling with traditional monitoring techniques were explored at the Argonne phytoremediation site. The impacts on uncertainty estimation and optimal sampling schemes at the site from the inclusion of plant sampling were evaluated. Four methods were compared while evaluating uncertainty; entropy was found to be the most sensitive measure of uncertainty estimation at the site. Optimal sampling plans generated using a non-dominated sorted genetic algorithm found that uncertainty was reduced significantly with a marginal increase in cost when most of the samples collected were plant samples.","abstract_has_math":false,"creators":["Gopalakrishnan, Gayathri"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Civl and Environmental Engineering","degree_department":null,"school":null,"contributors":["Minsker, Barbara S."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T21:04:33Z","date_published":"2015-09-25T21:04:33Z","updated_at":"2026-07-22T22:26:21Z","subjects":["Engineering, Environmental"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3314777"],"render_values":[{"text":"(MiAaPQ)AAI3314777","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/83371","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Minsker, Barbara S."]},{"key":"dc:creator","label":"Author","values":["Gopalakrishnan, Gayathri"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T21:04:33Z","10000-01-01","2008"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civl and Environmental Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Environmental"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/83371","(MiAaPQ)AAI3314777"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Finally, methods to incorporate plant sampling with traditional monitoring techniques were explored at the Argonne phytoremediation site. The impacts on uncertainty estimation and optimal sampling schemes at the site from the inclusion of plant sampling were evaluated. Four methods were compared while evaluating uncertainty; entropy was found to be the most sensitive measure of uncertainty estimation at the site. Optimal sampling plans generated using a non-dominated sorted genetic algorithm found that uncertainty was reduced significantly with a marginal increase in cost when most of the samples collected were plant samples.","Made available in DSpace on 2015-09-25T21:04:33Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3314777.pdf: 2215431 bytes, checksum: d77b0f545f5b0e6b5e30b0f55f380157 (MD5) Previous issue date: 2008","Embargo set by: Seth Robbins for item 84652 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","146 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008."]},{"key":"dc:title","label":"Title","values":["Nature's Sensors: Using Plants as an Alternative Monitoring Approach for Subsurface Contamination"]}]}],"canonical_facts":{"dc:contributor":["Minsker, Barbara S."],"dc:creator":["Gopalakrishnan, Gayathri"],"dc:date":["2015-09-25T21:04:33Z","10000-01-01","2008"],"dc:description":["Finally, methods to incorporate plant sampling with traditional monitoring techniques were explored at the Argonne phytoremediation site. The impacts on uncertainty estimation and optimal sampling schemes at the site from the inclusion of plant sampling were evaluated. Four methods were compared while evaluating uncertainty; entropy was found to be the most sensitive measure of uncertainty estimation at the site. Optimal sampling plans generated using a non-dominated sorted genetic algorithm found that uncertainty was reduced significantly with a marginal increase in cost when most of the samples collected were plant samples.","Made available in DSpace on 2015-09-25T21:04:33Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3314777.pdf: 2215431 bytes, checksum: d77b0f545f5b0e6b5e30b0f55f380157 (MD5) Previous issue date: 2008","Embargo set by: Seth Robbins for item 84652 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","146 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008."],"dc:identifier":["http://hdl.handle.net/2142/83371","(MiAaPQ)AAI3314777"],"dc:language":["eng"],"dc:subject":["Engineering, Environmental"],"dc:title":["Nature's Sensors: Using Plants as an Alternative Monitoring Approach for Subsurface Contamination"],"dc:type":["text"],"thesis:degree_discipline":["Civl and Environmental Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:21Z"}