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...

Full description

Bibliographic Details
Main Author: Kingston, William John III
Other Authors: Civil Engineering
Format: Others
Language:en_US
Published: Virginia Tech 2017
Subjects:
PMP
PMF
Online Access:http://hdl.handle.net/10919/76812
http://scholar.lib.vt.edu/theses/available/etd-07022012-185139/
id ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-76812
record_format oai_dc
spelling 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
collection NDLTD
language en_US
format Others
sources NDLTD
topic Coles Hill
Probable Maximum Storm
HEC-GeoHMS
PMP
PMF
spellingShingle 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
_version_ 1719345412880465920