{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/108062"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/108062","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Development of a fluvial oil-particle aggregate (OPA) drift simulator to evaluate the fate and transport of contaminated sediment in rivers","abstract":"To be able to mitigate the effects of inland oil spills in freshwater environments, a fast, robust, user-friendly model is required for rapid response purposes. Being able to predict the fate and transport of oil-particle aggregates (OPA) is important for alleviating much of the long-term effects of riverine spills. A model for this purpose is developed by incorporating OPA formation algorithms from suspended sediments to an existing model that has the capability of transporting pre-formed OPA with a random walk scheme through unsteady HEC-RAS domains. For the sake of showing the importance of considering OPA formation, a range of parameters were tested with and without OPA formation. The main parameters tested in this research are the oil droplet diameter, suspended sediment grain size, and the magnitude of flow velocity. The conditions in which it is most important to consider OPA formation for accurate transport predictions are small oil droplet diameters, large sediment grain sizes, and low flow velocities. Under the inverse conditions, there is little benefit for modeling OPA formation. This knowledge will be important for users to consider while making decisions with this model for oil spill rapid response for the specific event that is being considered.","abstract_html":"To be able to mitigate the effects of inland oil spills in freshwater environments, a fast, robust, user-friendly model is required for rapid response purposes. Being able to predict the fate and transport of oil-particle aggregates (OPA) is important for alleviating much of the long-term effects of riverine spills. A model for this purpose is developed by incorporating OPA formation algorithms from suspended sediments to an existing model that has the capability of transporting pre-formed OPA with a random walk scheme through unsteady HEC-RAS domains. For the sake of showing the importance of considering OPA formation, a range of parameters were tested with and without OPA formation. The main parameters tested in this research are the oil droplet diameter, suspended sediment grain size, and the magnitude of flow velocity. The conditions in which it is most important to consider OPA formation for accurate transport predictions are small oil droplet diameters, large sediment grain sizes, and low flow velocities. Under the inverse conditions, there is little benefit for modeling OPA formation. This knowledge will be important for users to consider while making decisions with this model for oil spill rapid response for the specific event that is being considered.","abstract_has_math":false,"creators":["Berens, John Matthew"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["Garcia, Marcelo H"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-08-26T21:58:08Z","date_published":"2020-08-26T21:58:08Z","updated_at":"2026-07-22T22:24:47Z","subjects":["Oil","Spill","Fluvial","Transport","OPA","River","Kalamazoo","Coagulation","Model"],"languages":["en"],"rights":["Copyright 2020 John Berens"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/108062","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Garcia, Marcelo H"]},{"key":"dc:creator","label":"Author","values":["Berens, John Matthew"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-08-26T21:58:08Z","2020-05-15","2020-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"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":["Oil","Spill","Fluvial","Transport","OPA","River","Kalamazoo","Coagulation","Model"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 John Berens"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/108062"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["To be able to mitigate the effects of inland oil spills in freshwater environments, a fast, robust, user-friendly model is required for rapid response purposes. Being able to predict the fate and transport of oil-particle aggregates (OPA) is important for alleviating much of the long-term effects of riverine spills. A model for this purpose is developed by incorporating OPA formation algorithms from suspended sediments to an existing model that has the capability of transporting pre-formed OPA with a random walk scheme through unsteady HEC-RAS domains. For the sake of showing the importance of considering OPA formation, a range of parameters were tested with and without OPA formation. The main parameters tested in this research are the oil droplet diameter, suspended sediment grain size, and the magnitude of flow velocity. The conditions in which it is most important to consider OPA formation for accurate transport predictions are small oil droplet diameters, large sediment grain sizes, and low flow velocities. Under the inverse conditions, there is little benefit for modeling OPA formation. This knowledge will be important for users to consider while making decisions with this model for oil spill rapid response for the specific event that is being considered.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2020-08-25 without embargo terms","The student, John Berens, accepted the attached license on 2020-05-14 at 09:09.","The student, John Berens, submitted this Thesis for approval on 2020-05-14 at 17:00.","This Thesis was approved for publication on 2020-05-15 at 08:14.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15389 on 2020-08-25 at 17:14:43","Made available in DSpace on 2020-08-26T21:58:08Z (GMT). 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A model for this purpose is developed by incorporating OPA formation algorithms from suspended sediments to an existing model that has the capability of transporting pre-formed OPA with a random walk scheme through unsteady HEC-RAS domains. For the sake of showing the importance of considering OPA formation, a range of parameters were tested with and without OPA formation. The main parameters tested in this research are the oil droplet diameter, suspended sediment grain size, and the magnitude of flow velocity. The conditions in which it is most important to consider OPA formation for accurate transport predictions are small oil droplet diameters, large sediment grain sizes, and low flow velocities. Under the inverse conditions, there is little benefit for modeling OPA formation. 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