Hydrologic Modeling of a Probable Maximum Precipitation Event Using HEC-HMS and GIS Models - A Case Study of Two Watersheds in Southern Virginia-
Presented in this thesis is a case study of two study watersheds located in south central Virginia. For each, a HEC-HMS event-based hydrologic model was constructed to simulate the rainfall-runoff response from the Probable Maximum Storm (PMS), the theoretical worst-case meteorological event that is...
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ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-768122020-09-29T05:42:28Z Hydrologic Modeling of a Probable Maximum Precipitation Event Using HEC-HMS and GIS Models - A Case Study of Two Watersheds in Southern Virginia- Kingston, William John III Civil Engineering Diplas, Panayiotis Bodnar, Robert J. Moglen, Glenn E. Coles Hill Probable Maximum Storm HEC-GeoHMS PMP PMF Presented in this thesis is a case study of two study watersheds located in south central Virginia. For each, a HEC-HMS event-based hydrologic model was constructed to simulate the rainfall-runoff response from the Probable Maximum Storm (PMS), the theoretical worst-case meteorological event that is capable of occurring over a particular region. The primary goal of these simulations was to obtain discharge hydrographs associated with the Probable Maximum Flood (PMF) at key locations in each of the watersheds. These hydrographs were subsequently used to develop flood inundation maps of the study areas and to characterize sediment transport phenomena in the study reaches under severe flooding conditions. To build the hydrologic basin models, ArcHydro, HEC-GeoHMS and ArcGIS were employed to assimilate the substantial amount of input data and to extract the pertinent modeling parameters required for the selected simulation methods. In this, the SCS Loss and Transform Methods, along with the Muskingum Routing Method, were adopted for the HEC-HMS simulations. Once completed, the basin models were calibrated through a comparison of simulated design storm flows to frequency discharge estimates obtained with regional regression techniques and a flood frequency analysis. The models were then used to simulate their respective PMS events, which were developed following recommendations from the Hydrometeorological Branch of the National Weather Service and the U.S. Army Corps of Engineers. Descriptions of each of the study sites, explanations of the modeling theory and development methodologies, and discussions of the modeling results are all detailed within. Master of Science 2017-04-04T19:49:24Z 2017-04-04T19:49:24Z 2012-06-11 2012-07-02 2016-10-04 2012-07-25 Thesis Text etd-07022012-185139 http://hdl.handle.net/10919/76812 http://scholar.lib.vt.edu/theses/available/etd-07022012-185139/ en_US In Copyright http://rightsstatements.org/vocab/InC/1.0/ application/pdf application/pdf Virginia Tech |
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Coles Hill Probable Maximum Storm HEC-GeoHMS PMP PMF |
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Coles Hill Probable Maximum Storm HEC-GeoHMS PMP PMF Kingston, William John III Hydrologic Modeling of a Probable Maximum Precipitation Event Using HEC-HMS and GIS Models - A Case Study of Two Watersheds in Southern Virginia- |
description |
Presented in this thesis is a case study of two study watersheds located in south central Virginia. For each, a HEC-HMS event-based hydrologic model was constructed to simulate the rainfall-runoff response from the Probable Maximum Storm (PMS), the theoretical worst-case meteorological event that is capable of occurring over a particular region. The primary goal of these simulations was to obtain discharge hydrographs associated with the Probable Maximum Flood (PMF) at key locations in each of the watersheds. These hydrographs were subsequently used to develop flood inundation maps of the study areas and to characterize sediment transport phenomena in the study reaches under severe flooding conditions.
To build the hydrologic basin models, ArcHydro, HEC-GeoHMS and ArcGIS were employed to assimilate the substantial amount of input data and to extract the pertinent modeling parameters required for the selected simulation methods. In this, the SCS Loss and Transform Methods, along with the Muskingum Routing Method, were adopted for the HEC-HMS simulations.
Once completed, the basin models were calibrated through a comparison of simulated design storm flows to frequency discharge estimates obtained with regional regression techniques and a flood frequency analysis. The models were then used to simulate their respective PMS events, which were developed following recommendations from the Hydrometeorological Branch of the National Weather Service and the U.S. Army Corps of Engineers.
Descriptions of each of the study sites, explanations of the modeling theory and development methodologies, and discussions of the modeling results are all detailed within. === Master of Science |
author2 |
Civil Engineering |
author_facet |
Civil Engineering Kingston, William John III |
author |
Kingston, William John III |
author_sort |
Kingston, William John III |
title |
Hydrologic Modeling of a Probable Maximum Precipitation Event Using HEC-HMS and GIS Models - A Case Study of Two Watersheds in Southern Virginia- |
title_short |
Hydrologic Modeling of a Probable Maximum Precipitation Event Using HEC-HMS and GIS Models - A Case Study of Two Watersheds in Southern Virginia- |
title_full |
Hydrologic Modeling of a Probable Maximum Precipitation Event Using HEC-HMS and GIS Models - A Case Study of Two Watersheds in Southern Virginia- |
title_fullStr |
Hydrologic Modeling of a Probable Maximum Precipitation Event Using HEC-HMS and GIS Models - A Case Study of Two Watersheds in Southern Virginia- |
title_full_unstemmed |
Hydrologic Modeling of a Probable Maximum Precipitation Event Using HEC-HMS and GIS Models - A Case Study of Two Watersheds in Southern Virginia- |
title_sort |
hydrologic modeling of a probable maximum precipitation event using hec-hms and gis models - a case study of two watersheds in southern virginia- |
publisher |
Virginia Tech |
publishDate |
2017 |
url |
http://hdl.handle.net/10919/76812 http://scholar.lib.vt.edu/theses/available/etd-07022012-185139/ |
work_keys_str_mv |
AT kingstonwilliamjohniii hydrologicmodelingofaprobablemaximumprecipitationeventusinghechmsandgismodelsacasestudyoftwowatershedsinsouthernvirginia |
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