Annualmeeting:2017 CSDMS meeting-007: Difference between revisions

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{{CSDMS meeting personal information template-2014
{{CSDMS meeting personal information template-2014
|CSDMS meeting first name=Tyler
|CSDMS meeting first name=Kimberly
|CSDMS meeting last name=Vaughn
|CSDMS meeting last name=Miller
|CSDMS meeting institute=Kansas State University
|CSDMS meeting institute=University of Wyoming
|CSDMS meeting city=Manhattan, Kansas
|CSDMS meeting city=Laramie
|CSDMS meeting country=United States
|CSDMS meeting country=United States
|CSDMS meeting state=Kansas
|CSDMS meeting state=Wyoming
|CSDMS meeting email address=tytyvaughn@ksu.edu
|CSDMS meeting email address=litwinmiller@gmail.com
|CSDMS meeting phone=6202128085
|CSDMS meeting phone=4158284364
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}}
{{CSDMS meeting scholar and pre-meeting
{{CSDMS meeting scholar and pre-meeting
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{{CSDMS meeting select clinics1
{{CSDMS meeting select clinics1
|CSDMS_meeting_select_clinics1=2) ANUGA - river flood morphodynamics
|CSDMS_meeting_select_clinics1=3) SiStER - a coupled geodynamics-surface model
}}
}}
{{CSDMS meeting select clinics2
{{CSDMS meeting select clinics2
|CSDMS_meeting_select_clinics2=2) Landlab I
|CSDMS_meeting_select_clinics2=4) The Sediment Experimentalist Network (SEN)
}}
}}
{{CSDMS meeting select clinics3
{{CSDMS meeting select clinics3
|CSDMS_meeting_select_clinics3=1) Parflow groundwater modeling
|CSDMS_meeting_select_clinics3=4) LandLab and Dakota
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{{CSDMS scholarships yes no
{{CSDMS scholarships yes no
|CSDMS meeting scholarships=Yes
|CSDMS meeting scholarships=No
}}
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{{CSDMS meeting abstract yes no
{{CSDMS meeting abstract yes no
|CSDMS meeting abstract submit=Yes
|CSDMS meeting abstract submit=No
}}
{{CSDMS meeting abstract title temp
|CSDMS meeting abstract title=Understanding flooding extent and the mechanisms of surface inundation in areas of impermeable soils using the ANUGA hydrodynamic model: A study from Fredonia, Kansas
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{{CSDMS meeting abstract template
|CSDMS meeting abstract=Floods are one of the most common and costliest natural disasters in the world. Small towns are especially vulnerable due to the relative lack of flood monitoring and prevention resources. There is anecdotal evidence that suggests an increasing amount of floods from streams in the agriculture-dominated southeast corner of Kansas. Due to the absence of monitoring equipment in many of these streams and also a lack of accurate precipitation data within the local areas, the statement of increased flooding has been difficult to substantiate. The hypothesis of this study is that the recurrent flooding of the stream is intricately related to local geology, land use change, groundwater seepage, and bridge and pipe debris collection, and climate change and if a hydrodynamic model can be used to predict stream response to varying precipitation depths and intensities.
To complete this study, channel geometries of Salt Creek such as bankfull height and width will be determined through time-interval field measurements. A pressure transducer and two tipping buckets will be installed to monitor Salt Creek’s reaction to a given precipitation depth and intensity. Soil analysis will be conducted to determine composition, infiltration capacity, and infiltration rate. Next, ANUGA hydrodynamic modeling will determine the output flow velocity and height of water during flood events at different precipitations. At the conclusion of this study, a completed ANUGA model will establish the relationship between precipitation intensity/depth with Salt Creek's water levels and contributing factors to the flooding will be identified, as well as if these factors have changed over time.
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{{CSDMS meeting abstract title temp}}
{{CSDMS meeting abstract template}}
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Latest revision as of 11:53, 4 April 2017






Browse  abstracts




Kimberly Miller choose to not submit an abstract for this conference.



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