{"id":{"repo_id":"unlv","oai_identifier":"oai:oasis.library.unlv.edu:rtds-1599"},"canonical_url":"https://search.dev.ndltd.org/etd/unlv/oai:oasis.library.unlv.edu:rtds-1599","repository":{"repo_id":"unlv","name":"University of Nevada - Las Vegas","base_url":"https://oasis.library.unlv.edu/do/oai/"},"display":{"title":"Comparison of models to mitigate flood hazard to transportation alignments on alluvial fans","abstract":"Many investigators have suggested that available one- and two-dimensional, deterministic models may provide better discharge estimates for alluvial fan flood mitigation studies than the one-dimensional, stochastic Federal Emergency Management Agency (FEMA) model; A modified version of the one-dimensional, stochastic FEMA model (French, 1992), and the one- and two-dimensional, deterministic models, DAMBRK (Fread, 1984) and FLO-2D (O'Brien, 1995), respectively, are used to estimate peak discharges at railroad alignments crossing three alluvial fans in southern Nevada. Risk analyses calculate exceedance probabilities. Results are compared with railroad maintenance records documenting damage to these alignments; All three models generally predict peak discharges that are larger than the railroad maintenance records indicate have occurred; however, the two deterministic models yield more conservative results than the stochastic model. A combination of results from the modified-FEMA and the FLO-2D models may provide a cost-effective method for estimating design peak discharges for transportation alignments crossing alluvial fans.","abstract_html":"Many investigators have suggested that available one- and two-dimensional, deterministic models may provide better discharge estimates for alluvial fan flood mitigation studies than the one-dimensional, stochastic Federal Emergency Management Agency (FEMA) model; A modified version of the one-dimensional, stochastic FEMA model (French, 1992), and the one- and two-dimensional, deterministic models, DAMBRK (Fread, 1984) and FLO-2D (O'Brien, 1995), respectively, are used to estimate peak discharges at railroad alignments crossing three alluvial fans in southern Nevada. Risk analyses calculate exceedance probabilities. Results are compared with railroad maintenance records documenting damage to these alignments; All three models generally predict peak discharges that are larger than the railroad maintenance records indicate have occurred; however, the two deterministic models yield more conservative results than the stochastic model. A combination of results from the modified-FEMA and the FLO-2D models may provide a cost-effective method for estimating design peak discharges for transportation alignments crossing alluvial fans.","abstract_has_math":false,"creators":["Miller, Julianne Joy"],"institution":"University of Nevada, Las Vegas","degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Geoscience","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1996,"date_issued":"1996-01-01T08:00:00Z","date_published":"1996-01-01T08:00:00Z","updated_at":"2026-07-24T05:24:45Z","subjects":[],"languages":["English"],"rights":["IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://oasis.library.unlv.edu/rtds/600"],"render_values":[{"text":"https://oasis.library.unlv.edu/rtds/600","href":"https://oasis.library.unlv.edu/rtds/600","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.25669/w9wr-vz87","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Miller, Julianne Joy"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:publisher","label":"Institution","values":["University of Nevada, Las Vegas"]},{"key":"dc:type","label":"Dc Type","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Geoscience"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:rights","label":"Dc Rights","values":["IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["10.25669/w9wr-vz87","https://oasis.library.unlv.edu/rtds/600","https://oasis.library.unlv.edu/context/rtds/article/1599/viewcontent/uc.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Many investigators have suggested that available one- and two-dimensional, deterministic models may provide better discharge estimates for alluvial fan flood mitigation studies than the one-dimensional, stochastic Federal Emergency Management Agency (FEMA) model; A modified version of the one-dimensional, stochastic FEMA model (French, 1992), and the one- and two-dimensional, deterministic models, DAMBRK (Fread, 1984) and FLO-2D (O'Brien, 1995), respectively, are used to estimate peak discharges at railroad alignments crossing three alluvial fans in southern Nevada. Risk analyses calculate exceedance probabilities. Results are compared with railroad maintenance records documenting damage to these alignments; All three models generally predict peak discharges that are larger than the railroad maintenance records indicate have occurred; however, the two deterministic models yield more conservative results than the stochastic model. A combination of results from the modified-FEMA and the FLO-2D models may provide a cost-effective method for estimating design peak discharges for transportation alignments crossing alluvial fans."]},{"key":"dc:format","label":"Dc Format","values":["pdf"]},{"key":"dc:title","label":"Title","values":["Comparison of models to mitigate flood hazard to transportation alignments on alluvial fans"]}]}],"canonical_facts":{"dc:creator":["Miller, Julianne Joy"],"dc:description.abstract":["Many investigators have suggested that available one- and two-dimensional, deterministic models may provide better discharge estimates for alluvial fan flood mitigation studies than the one-dimensional, stochastic Federal Emergency Management Agency (FEMA) model; A modified version of the one-dimensional, stochastic FEMA model (French, 1992), and the one- and two-dimensional, deterministic models, DAMBRK (Fread, 1984) and FLO-2D (O'Brien, 1995), respectively, are used to estimate peak discharges at railroad alignments crossing three alluvial fans in southern Nevada. Risk analyses calculate exceedance probabilities. Results are compared with railroad maintenance records documenting damage to these alignments; All three models generally predict peak discharges that are larger than the railroad maintenance records indicate have occurred; however, the two deterministic models yield more conservative results than the stochastic model. A combination of results from the modified-FEMA and the FLO-2D models may provide a cost-effective method for estimating design peak discharges for transportation alignments crossing alluvial fans."],"dc:format":["pdf"],"dc:identifier":["10.25669/w9wr-vz87","https://oasis.library.unlv.edu/rtds/600","https://oasis.library.unlv.edu/context/rtds/article/1599/viewcontent/uc.pdf"],"dc:language":["English"],"dc:publisher":["University of Nevada, Las Vegas"],"dc:rights":["IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/"],"dc:title":["Comparison of models to mitigate flood hazard to transportation alignments on alluvial fans"],"dc:type":["Text"],"thesis:degree_discipline":["Geoscience"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T05:24:45Z"}