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dc.contributor.advisorMeixner, Thomasen
dc.contributor.authorSheppard, Brian Scott
dc.creatorSheppard, Brian Scotten
dc.date.accessioned2016-09-26T18:41:13Z
dc.date.available2016-09-26T18:41:13Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10150/620717
dc.description.abstractPrecipitation and runoff records from several burned watersheds have been used to evaluate the performance of the Automated Geospatial Watershed Assessment (AGWA) tool as it is used to assign parameters to the KINmatic runoff and EROSion Model 2 (KINEROS2). This modeling scheme is used by the Department of Interior Burned Area Emergency Response (DOI BAER) teams to assess flooding and erosion risk immediately following a wildfire. Although DOI BAER teams use this parameterization/modeling framework to assess the relative change in watershed behavior following a wildfire by driving the model with National Oceanic and Atmospheric Administration (NOAA) design storms, calibrations performed on actual events using rainfall estimations provided by rain gages and radar to drive the model provides insight into the model's performance, and potentially informs changes and developments to the AGWA parameter estimation scheme. Results indicate that current parameter modifications made by AGWA to represent fire impacts provide reasonable results for DOI BAER relative change risk assessments, though additional modifications to saturated hydraulic conductivity may be necessary to represent a broader range of storm intensity.
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.subjectHydrologyen
dc.titleThe Automated Geospatial Watershed Assessment Tool (AGWA): Using Rainfall and Streamflow Records from Burned Watersheds to Evaluate and Improve Parameter Estimationsen_US
dc.typetexten
dc.typeElectronic Thesisen
thesis.degree.grantorUniversity of Arizonaen
thesis.degree.levelmastersen
dc.contributor.committeememberValdes, Juan B.en
dc.contributor.committeememberGoodrich, David C.en
dc.contributor.committeememberGuertin, D. Philipen
thesis.degree.disciplineGraduate Collegeen
thesis.degree.disciplineHydrologyen
thesis.degree.nameM.S.en
refterms.dateFOA2018-09-11T14:54:26Z
html.description.abstractPrecipitation and runoff records from several burned watersheds have been used to evaluate the performance of the Automated Geospatial Watershed Assessment (AGWA) tool as it is used to assign parameters to the KINmatic runoff and EROSion Model 2 (KINEROS2). This modeling scheme is used by the Department of Interior Burned Area Emergency Response (DOI BAER) teams to assess flooding and erosion risk immediately following a wildfire. Although DOI BAER teams use this parameterization/modeling framework to assess the relative change in watershed behavior following a wildfire by driving the model with National Oceanic and Atmospheric Administration (NOAA) design storms, calibrations performed on actual events using rainfall estimations provided by rain gages and radar to drive the model provides insight into the model's performance, and potentially informs changes and developments to the AGWA parameter estimation scheme. Results indicate that current parameter modifications made by AGWA to represent fire impacts provide reasonable results for DOI BAER relative change risk assessments, though additional modifications to saturated hydraulic conductivity may be necessary to represent a broader range of storm intensity.


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