Flood Inundation Maps and Updated Components for a Flood-warning System for the City of Marietta, Ohio and Selected Communities Along the Lower Muskingum River and Ohio River PDF Download
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Author: Matthew T. Whitehead
Publisher:
ISBN:
Category : Floodplains
Languages : en
Pages : 16
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Author: Matthew T. Whitehead
Publisher:
ISBN:
Category : Floodplains
Languages : en
Pages : 16
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Author: Chad J. Ostheimer
Publisher:
ISBN:
Category : Flood control
Languages : en
Pages : 0
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Book Description
Digital flood-inundation maps for selected reaches of South Fork Licking River, Raccoon Creek, North Fork Licking River, and the Licking River in Licking County, Ohio, were created by the U.S. Geological Survey (USGS), in cooperation with the Ohio Department of Transportation; U.S. Department of Transportation, Federal Highway Administration; Muskingum Watershed Conservancy District; U.S. Department of Agriculture, Natural Resources Conservation Service; and the City of Newark and Village of Granville, Ohio. The inundation maps depict estimates of the areal extent of flooding corresponding to water levels (stages) at the following USGS streamgages: South Fork Licking River at Heath, Ohio (03145173); Raccoon Creek below Wilson Street at Newark, Ohio (03145534); North Fork Licking River at East Main Street at Newark, Ohio (03146402); and Licking River near Newark, Ohio (03146500). The maps were provided to the National Weather Service (NWS) for incorporation into a Web-based flood-warning system that can be used in conjunction with NWS flood-forecast data to show areas of predicted flood inundation associated with forecasted flood-peak stages. As part of the flood-warning streamflow network, the USGS re-installed one streamgage on North Fork Licking River, and added three new streamgages, one each on North Fork Licking River, South Fork Licking River, and Raccoon Creek. Additionally, the USGS upgraded a lake-level gage on Buckeye Lake. Data from the streamgages and lake-level gage can be used by emergency-management personnel, in conjunction with the flood-inundation maps, to help determine a course of action when flooding is imminent. Flood profiles for selected reaches were prepared by calibrating steady-state step-backwater models to selected, established streamgage rating curves. The step-backwater models then were used to determine water-surface-elevation profiles for up to 10 flood stages at a streamgage with corresponding streamflows ranging from approximately the 50 to 0.2-percent chance annual-exceedance probabilities for each of the 4 streamgages that correspond to the flood-inundation maps. The computed flood profiles were used in combination with digital elevation data to delineate flood-inundation areas. Maps of Licking County showing flood-inundation areas overlain on digital orthophotographs are presented for the selected floods. The USGS also developed an unsteady-flow model for a reach of South Fork Licking River for use by the NWS to enhance their ability to provide advanced flood warning in the region north of Buckeye Lake, Ohio. The unsteady-flow model was calibrated based on data from four flooding events that occurred from June 2008 to December 2011. Model calibration was approximate due to the fact that there were unmeasured inflows to the river that were not able to be considered during the calibration. Information on unmeasured inflow derived from NWS hydrologic models and additional flood-event data could enable the NWS to further refine the unsteady-flow model.
Author:
Publisher:
ISBN:
Category : Floods
Languages : en
Pages : 48
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Author: United States. Congress. House. Committee on Flood Control
Publisher:
ISBN:
Category :
Languages : en
Pages : 498
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Author: Niraj Lamichhane
Publisher:
ISBN:
Category : Flood forecasting
Languages : en
Pages : 236
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Book Description
The flood warning system can be effectively used to reduce the potential property damages and loss of lives. Therefore, a reliable flood warning system is required for the evacuation of people from probable inundation area in sufficient lead time. Hence, this study was commenced to predict the travel time and generate inundation maps along the Grand River, Ohio for various flood stages. A widely accepted hydraulic tool, Hydraulic Engineering Center River Analysis System (HEC-RAS), was used to perform the hydraulic simulation. HEC-GeoRAS, an ArcGIS extension tool, was used to prepare geospatial data and generate flood inundation maps for various flood stages. A topographic survey was conducted to obtain the accurate elevation of river channels. The hydraulic simulations were carried out using six different elevation datasets and various ranges of Manning's roughness to quantify the uncertainties in travel time and inundation area prediction due to the resolutions of the elevation datasets and Manning's roughness. The study showed that the coarse elevation dataset, which was 30m Digital Elevation Model (DEM) without integration of survey data, provided higher travel time and inundation area. It over predicted (11.03%-15.01%) in travel time and inundation area (32.56%-44.52%) for various return period floods when compared with the results of Light Detection and Ranging (LiDAR) integrated with survey data. Moreover, Manning's roughness was found to be more sensitive in channel sections than that of floodplains. The decrease in travel time and inundation area was observed with the decrease in Manning's roughness. The highest decrement of 21.38% and 8.97% in travel time and inundation area was observed when roughness value was decreased in channel sections, while the decrement in travel time and inundation area was 3.45% and 1.49% when roughness value was decreased in floodplains. The difference in predicted travel time and inundation area, while using LiDAR integrated with survey data, was not considerably different from 10m DEM integrated with survey data. However, LiDAR with survey data predicted conservative travel time which would be safe to consider for the evacuation planning from probable inundation areas. Therefore, LiDAR integrated with survey data was used for the calculation of travel time and generation of flood inundation maps for 12 different selected flood stages. The estimated travel time can be used for the evacuation of the people. Similarly, the rating curve and the flood inundation maps can be used to issue flood warning. More than 100 houses, many roads, bridges and parks along the Grand River are susceptible to 500 year return period flood. Therefore, it is suggested to install the siren system in various locations of the river. In addition, winter flooding due to ice jams is one of the major problems as it has caused severe damages along the Grand River and nearby bridge structures frequently. Therefore, the effects of ice cover and ice jams on the river level near bridges were investigated. The increase in river stage and inundation area was observed, when ice cover and ice jam was considered in the simulation. The average increase in river stage was approximately 2 ft for maximum winter discharge. Likewise, the increase in inundation area varied from 24% to 52% for various winter flows resulting in the highest increment for the lowest winter discharge. In addition, the increase in river stage was noticed at the upstream section of bridges during winter when the model was simulated considering bridges. The effects of resolution of elevation datasets and ice jam/ice cover in flood travel time and inundations maps would be valuable assets for decision makers and planners for flood management and rescue operation in future.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309185467
Category : Science
Languages : en
Pages : 137
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Federal Emergency Management Agency (FEMA) Flood Insurance Rate Maps portray the height and extent to which flooding is expected to occur, and they form the basis for setting flood insurance premiums and regulating development in the floodplain. As such, they are an important tool for individuals, businesses, communities, and government agencies to understand and deal with flood hazard and flood risk. Improving map accuracy is therefore not an academic question-better maps help everyone. Making and maintaining an accurate flood map is neither simple nor inexpensive. Even after an investment of more than $1 billion to take flood maps into the digital world, only 21 percent of the population has maps that meet or exceed national flood hazard data quality thresholds. Even when floodplains are mapped with high accuracy, land development and natural changes to the landscape or hydrologic systems create the need for continuous map maintenance and updates. Mapping the Zone examines the factors that affect flood map accuracy, assesses the benefits and costs of more accurate flood maps, and recommends ways to improve flood mapping, communication, and management of flood-related data.
Author: Billy H. Johnson
Publisher:
ISBN:
Category : Floods
Languages : en
Pages : 160
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Author:
Publisher: DIANE Publishing
ISBN: 1428936106
Category :
Languages : en
Pages : 54
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Author: United States. Army. Corps of Engineers
Publisher:
ISBN:
Category : Floods
Languages : en
Pages : 72
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Author: Matthew T. Whitehead
Publisher:
ISBN:
Category : Flood control
Languages : en
Pages : 16
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Book Description
