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Service Description: During July 1938, intense rainfall across several counties in central Texas produced record flooding along the San Saba River and Brady Creek, in addition to other waterways. The floodwaters had a devastating impact on many local communities, including the cities of Brady (McCulloch County), San Saba (San Saba County), and Menard (Menard County).
The Kansas Biological Survey’s FLDPLN (“Floodplain”) model and U.S. Geological Survey’s 1/3 arc second (10-m) NED elevation data (downloaded in March 2010) were used to simulate flood depth and flood extent associated with this 1938 flood event for approximately 111 miles of San Saba River reach and approximately 33 miles of Brady Creek reach. The FLDPLN model was calibrated using landmark-referenced high water mark data collected by the U.S. Army Corps of Engineers at the time of the event and provided to KBS by the Texas Natural Resources Information System (TNRIS), part of the Texas Water Development Board. These results were developed as a demonstration of FLDPLN model capabilities, at the request of TNRIS.
Equivalent analyses were also performed using alternative elevation data. First, LiDAR elevation data (provided by TNRIS in May 2010) covering a polygon interior to the study area were downsampled to the 10-m NED grid and substituted into the NED data. The LiDAR data have partial coverage of the stream reach under study. Second, Intermap elevation data (provided by Intermap in October 2010) covering a polygon enveloping the study reach floodplain were downsampled to the 10-m NED grid and substituted into the NED data. Thus there were three analyses in total, one using NED data, one using combined LiDAR-NED data, and one using primarily Intermap data.
This map project displays vector and raster data, including the high water mark points that were used for model calibration, the DEM-derived stream reaches to which the model was applied, and the resulting modeled flood depth grids, which show the estimated extents of inundation and flood depths. Wetted extent co-occurrence grids are also provided to identify overlap between the wetted extents produced using the different elevation datasets considered in the study.
These data layers were generated by the Kansas Remote Sensing Program (KARS) at the Kansas Biological Survey located at the University of Kansas, in collaboration with TNRIS. For more information, contact Jude Kastens (jkastens@ku.edu).
The FLDPLN model was originally developed at KBS for river valley identification and “depth to flood” mapping. In addition to flood event simulation, the FLDPLN model is currently used by KBS scientists for emergency response applications, wetland identification and analysis, river valley morphology assessment, lake extent mapping, and as a guide for floodplain geometry specification in hydraulic analyses.
Map Name: Texas Flood 1938
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Copyright Text: Jude Kastens
Spatial Reference:
102100
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Units: esriMeters
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Document Info:
Title: Texas Flood 1938
Author: Kansas Remote Sensing Program / Kansas Biological Survey
Comments: During July 1938, intense rainfall across several counties in central Texas produced record flooding along the San Saba River and Brady Creek, in addition to other waterways. The floodwaters had a devastating impact on many local communities, including the cities of Brady (McCulloch County), San Saba (San Saba County), and Menard (Menard County).
The Kansas Biological Survey’s FLDPLN (“Floodplain”) model and U.S. Geological Survey’s 1/3 arc second (10-m) NED elevation data (downloaded in March 2010) were used to simulate flood depth and flood extent associated with this 1938 flood event for approximately 111 miles of San Saba River reach and approximately 33 miles of Brady Creek reach. The FLDPLN model was calibrated using landmark-referenced high water mark data collected by the U.S. Army Corps of Engineers at the time of the event and provided to KBS by the Texas Natural Resources Information System (TNRIS), part of the Texas Water Development Board. These results were developed as a demonstration of FLDPLN model capabilities, at the request of TNRIS.
Equivalent analyses were also performed using alternative elevation data. First, LiDAR elevation data (provided by TNRIS in May 2010) covering a polygon interior to the study area were downsampled to the 10-m NED grid and substituted into the NED data. The LiDAR data have partial coverage of the stream reach under study. Second, Intermap elevation data (provided by Intermap in October 2010) covering a polygon enveloping the study reach floodplain were downsampled to the 10-m NED grid and substituted into the NED data. Thus there were three analyses in total, one using NED data, one using combined LiDAR-NED data, and one using primarily Intermap data.
This map project displays vector and raster data, including the high water mark points that were used for model calibration, the DEM-derived stream reaches to which the model was applied, and the resulting modeled flood depth grids, which show the estimated extents of inundation and flood depths. Wetted extent co-occurrence grids are also provided to identify overlap between the wetted extents produced using the different elevation datasets considered in the study.
These data layers were generated by the Kansas Remote Sensing Program (KARS) at the Kansas Biological Survey located at the University of Kansas, in collaboration with TNRIS. For more information, contact Jude Kastens (jkastens@ku.edu).
The FLDPLN model was originally developed at KBS for river valley identification and “depth to flood” mapping. In addition to flood event simulation, the FLDPLN model is currently used by KBS scientists for emergency response applications, wetland identification and analysis, river valley morphology assessment, lake extent mapping, and as a guide for floodplain geometry specification in hydraulic analyses.
Subject: Flood Mapping
Category: Base Maps, Boundaries, Climatology Meteorology Atmosphere, Earth Cover, Elevation, Environment, Geoscientific, Farming, Imagery, Imagery Base Maps Earth Cover, Inland Water, Locations, Transportation.
Keywords: FLDPLN model,flood simulation,flood mapping,high water marks,inundation,Texas flash flooding
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