Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District and the City of Rittman as part of a Federal Emergency Management Agency (FEMA) Flood Insurance Study (FIS). The flood-inundation maps show estimates of the areal extent corresponding to the 1% and 0.2% annual-exceedance probability floods. Flood profiles were computed for each stream reach by means of a one-dimensional step-backwater model.

Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District and the City of Rittman as part of a Federal Emergency Management Agency (FEMA) Flood Insurance Study (FIS). The flood-inundation maps show estimates of the areal extent corresponding to the 1% and 0.2% annual-exceedance probability floods. Flood profiles were computed for each stream reach by means of a one-dimensional step-backwater model.

Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District and the City of Rittman as part of a Federal Emergency Management Agency (FEMA) Flood Insurance Study (FIS). The flood-inundation maps show estimates of the areal extent corresponding to the 1% and 0.2% annual-exceedance probability floods. Flood profiles were computed for each stream reach by means of a one-dimensional step-backwater model.

Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District and the City of Rittman as part of a Federal Emergency Management Agency (FEMA) Flood Insurance Study (FIS). The flood-inundation maps show estimates of the areal extent corresponding to the 1% and 0.2% annual-exceedance probability floods. Flood profiles were computed for each stream reach by means of a one-dimensional step-backwater model.

Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District and the City of Rittman as part of a Federal Emergency Management Agency (FEMA) Flood Insurance Study (FIS). The flood-inundation maps show estimates of the areal extent corresponding to the 1% and 0.2% annual-exceedance probability floods. Flood profiles were computed for each stream reach by means of a one-dimensional step-backwater model.

The development and the generation of the dataset that is published through this data release, is based on the results and findings of the report mentioned here: Prokopec, J.G., 2018, Hydraulic modeling and flood-inundation mapping for the Huron River and Ore Lake Tributary, Livingston County, Michigan: U.S. Geological Survey Scientific Investigations Report 2018-5048, https://doi.org/10.3133/sir20185048. The geospatial dataset contains final versions of the raster and vector geospatial data and its related metadata that are discussed in the report.

The development and the generation of the dataset that is published through this data release, is based on the results and findings of the report mentioned here: Prokopec, J.G., 2018, Hydraulic modeling and flood-inundation mapping for the Huron River and Ore Lake Tributary, Livingston County, Michigan: U.S. Geological Survey Scientific Investigations Report 2018-5048, https://doi.org/10.3133/sir20185048. The geospatial dataset contains final versions of the raster and vector geospatial data and its related metadata that are discussed in the report.

Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Bandera County River Authority and Groundwater District and with the Texas Water Development Board for a 23-mile reach of the Medina River extending from Winans Creek to English Crossing, Texas. The flood-inundation maps represent a range of selected water-surface elevations at USGS streamflow-gaging station 08178880 Medina River at Bandera, Texas (hereinafter referred to as the “Bandera station”). Near-real time hydrologic data for estimating areas of inundation near the Bandera station are available from the USGS National Water Information System (NWIS) web interface (https://waterdata.usgs.gov/tx/nwis/) and from the National Weather Service (NWS) Advanced Hydrologic Prediction Service (http:/water.weather.gov/ahps/). In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model (Davidian, 1984; U.S. Army Corps of Engineers, 2016a, b). These digital data accompany Choi, N., and Engel, F.L., 2019, Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018: U.S. Geological Survey Scientific Investigations Report 2019-5067, 15 p., https://doi.org/10.3133/sir20195067. Detailed information about the methods and data used for this analysis are provided in the companion interpretive report. The flood-inundation maps can be accessed through the USGS Flood Inundation Mapping Science website at http://water.usgs.gov/osw/flood_inundation/.

Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Bandera County River Authority and Groundwater District and with the Texas Water Development Board for a 23-mile reach of the Medina River extending from Winans Creek to English Crossing, Texas. The flood-inundation maps represent a range of selected water-surface elevations at USGS streamflow-gaging station 08178880 Medina River at Bandera, Texas (hereinafter referred to as the “Bandera station”). Near-real time hydrologic data for estimating areas of inundation near the Bandera station are available from the USGS National Water Information System (NWIS) web interface (https://waterdata.usgs.gov/tx/nwis/) and from the National Weather Service (NWS) Advanced Hydrologic Prediction Service (http:/water.weather.gov/ahps/). In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model (Davidian, 1984; U.S. Army Corps of Engineers, 2016a, b). These digital data accompany Choi, N., and Engel, F.L., 2019, Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018: U.S. Geological Survey Scientific Investigations Report 2019-5067, 15 p., https://doi.org/10.3133/sir20195067. Detailed information about the methods and data used for this analysis are provided in the companion interpretive report. The flood-inundation maps can be accessed through the USGS Flood Inundation Mapping Science website at http://water.usgs.gov/osw/flood_inundation/.

The U.S. Geological Survey (USGS), in cooperation with the city of Harrisonville, Missouri, assessed flooding of Muddy Creek resulting from varying precipitation magnitudes and durations, antecedent soil moisture conditions, and channel conditions. The precipitation scenarios were used to develop a library of flood-inundation maps that included a 3.8-mile reach of Muddy Creek and tributaries within and adjacent to the city. Hydrologic and hydraulic models of the upper Muddy Creek Basin were used to assess streamflow magnitudes associated with simulated precipitation amounts and the resulting flood-inundation conditions. The U.S. Army Corps of Engineers Hydrologic Engineering Center-Hydrologic Modeling System (HEC–HMS; version 4.4.1) was used to simulate the amount of streamflow produced from a range of rainfall events. The Hydrologic Engineering Center-River Analysis System (HEC–RAS; version 5.0.7) was then used to route streamflows and map resulting areas of flood inundation. The hydrologic and hydraulic models were calibrated to the September 28, 2019; May 27, 2021; and June 25, 2021, runoff events representing a range of antecedent moisture conditions and hydrologic responses. The calibrated HEC–HMS model was used to simulate streamflows from design rainfall events of 30-minute to 24-hour durations and ranging from a 100- to 0.1-percent annual exceedance probability. Flood-inundation maps were produced for USGS streamflow stages of 1.0 feet (ft), or near bankfull, to 4.0 ft, or a stage exceeding the 0.1-percent annual exceedance probability interval precipitation, using the HEC–RAS model. The consequence of each precipitation duration-frequency value was represented by a 0.5-ft increment inundation map based on the generated peak streamflow from that rainfall event and the corresponding stage at the Muddy Creek stage reference location. Seven scenarios were developed with the HEC–HMS hydrologic model with resulting streamflows routed in a HEC-RAS hydraulic model and these scenarios varied by antecedent soil-moisture and channel conditions. The same precipitation scenarios were used in each of the seven antecedent moisture and channel conditions and the simulation results were assigned to a flood-inundation map condition based on the generated peak flow and corresponding stage at the Muddy Creek reference location. This data release includes: 1) tables summarizing the model results including the flood-inundation map condition of each model scenario for dry (CNI; Muddy_Creek_summary_table_1_1.csv), normal (CNII; Muddy_Creek_summary_table_1_2.csv), and wet (CNIII; Muddy_Creek_summary_table_1_3.csv) antecedent soil moisture conditions (MuddyCreek_summary_tables.zip); 2) a shapefile dataset of the streamflow inundation extents at Muddy Creek reference location stages of 1.0 to 4.0 feet (MuddyCreek_inundation_extents.zip containing MudHarMO.shp); 3) a raster dataset of the streamflow depths at Muddy Creek reference location stages of 1.0 to 4.0 feet (MuddyCreek_inundation_depths.zip containing MudharMO_X.tif where X = 1,2,3,4,5,6,7 corresponding to inundation map stages of 1.0, 1.5 , 2.0, 2.5, 3.0, 3.5, 4.0 feet)); 4) tables of hydrologic and hydraulic model performance and calibration metrics, locations of continuous pressure transducers (PTs; MuddyCreek_PT_locations.zip) and high-water marks (HWMs; MuddCreek_HWM_locations.zip) used in assessment of model calibration and validation, and time series of pressure transducer data (MuddyCreek_PT_time_series.zip) found in MuddyCreek_model_performance_calibration_metrics.zip; 5) hydrologic and hydraulic model run files used in the simulation of dry hydrologic response conditions (CN_I conditions) and effects of proposed detention storage (MuddyCreek_dry_detention.zip); 6) hydrologic and hydraulic model run files used in the simulation and calibration of dry hydrologic response conditions (CN_I conditions) and current (2019) existing channel conditions