{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/83204"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/83204","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Innovative Methods for Solving Multicomponent Biogeochemical Groundwater Transport on Supercomputers","abstract":"To evaluate the performance of the Jacobian-Free Newton-Krylov method, PARTRAN was used to simulate enhanced in situ bioremediation of subsurface NAPL (non-aqueous phase liquid) contamination on the ASCI Q supercomputer at Los Alamos National Laboratory, on which a study of parallel efficiency/scaling using up to 512 processors was conducted. Recently, researchers have been investigating emplacement of carbon sources to create anaerobic conditions and enhance in situ reductive dechlorination of halogenated NAPLs. For the test problems presented, it is shown that Jacobian-Free Newton-Krylov saved up to 33% in memory compared to conventional methods where the entire Jacobian matrix is stored. The Jacobian-Split preconditioner performed superior to conventional preconditioners (i.e. faster simulation time and better parallel scalability) for scenarios exhibiting little solute retardation. However, Matrix-Lite preconditioning was required for scenarios with severely retarded reaction fronts. Although this method scaled well, it failed to surpass the performance of conventional preconditioners due to excessive simulation time.","abstract_html":"To evaluate the performance of the Jacobian-Free Newton-Krylov method, PARTRAN was used to simulate enhanced in situ bioremediation of subsurface NAPL (non-aqueous phase liquid) contamination on the ASCI Q supercomputer at Los Alamos National Laboratory, on which a study of parallel efficiency/scaling using up to 512 processors was conducted. Recently, researchers have been investigating emplacement of carbon sources to create anaerobic conditions and enhance in situ reductive dechlorination of halogenated NAPLs. For the test problems presented, it is shown that Jacobian-Free Newton-Krylov saved up to 33% in memory compared to conventional methods where the entire Jacobian matrix is stored. The Jacobian-Split preconditioner performed superior to conventional preconditioners (i.e. faster simulation time and better parallel scalability) for scenarios exhibiting little solute retardation. However, Matrix-Lite preconditioning was required for scenarios with severely retarded reaction fronts. Although this method scaled well, it failed to surpass the performance of conventional preconditioners due to excessive simulation time.","abstract_has_math":false,"creators":["Hammond, Glenn Edward"],"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":["Valocchi, Albert J."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T21:03:33Z","date_published":"2015-09-25T21:03:33Z","updated_at":"2026-07-22T22:26:20Z","subjects":["Biogeochemistry"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3086072"],"render_values":[{"text":"(MiAaPQ)AAI3086072","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/83204","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Valocchi, Albert J."]},{"key":"dc:creator","label":"Author","values":["Hammond, Glenn Edward"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T21:03:33Z","10000-01-01","2003"]},{"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":["Biogeochemistry"]}]},{"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/2142/83204","(MiAaPQ)AAI3086072"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["To evaluate the performance of the Jacobian-Free Newton-Krylov method, PARTRAN was used to simulate enhanced in situ bioremediation of subsurface NAPL (non-aqueous phase liquid) contamination on the ASCI Q supercomputer at Los Alamos National Laboratory, on which a study of parallel efficiency/scaling using up to 512 processors was conducted. Recently, researchers have been investigating emplacement of carbon sources to create anaerobic conditions and enhance in situ reductive dechlorination of halogenated NAPLs. For the test problems presented, it is shown that Jacobian-Free Newton-Krylov saved up to 33% in memory compared to conventional methods where the entire Jacobian matrix is stored. The Jacobian-Split preconditioner performed superior to conventional preconditioners (i.e. faster simulation time and better parallel scalability) for scenarios exhibiting little solute retardation. However, Matrix-Lite preconditioning was required for scenarios with severely retarded reaction fronts. Although this method scaled well, it failed to surpass the performance of conventional preconditioners due to excessive simulation time.","Made available in DSpace on 2015-09-25T21:03:33Z (GMT). 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Recently, researchers have been investigating emplacement of carbon sources to create anaerobic conditions and enhance in situ reductive dechlorination of halogenated NAPLs. For the test problems presented, it is shown that Jacobian-Free Newton-Krylov saved up to 33% in memory compared to conventional methods where the entire Jacobian matrix is stored. The Jacobian-Split preconditioner performed superior to conventional preconditioners (i.e. faster simulation time and better parallel scalability) for scenarios exhibiting little solute retardation. However, Matrix-Lite preconditioning was required for scenarios with severely retarded reaction fronts. Although this method scaled well, it failed to surpass the performance of conventional preconditioners due to excessive simulation time.","Made available in DSpace on 2015-09-25T21:03:33Z (GMT). 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