Flood-inundation Maps For Joachim Creek, De Soto, Missouri, 2018
Abstract
Digital flood-inundation maps for a 6.7-mile reach of Joachim Creek, De Soto, Missouri, were created by the U.S. Geological Survey (USGS) in cooperation with the city of De Soto and Jefferson County, Missouri. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage Joachim Creek at De Soto, Missouri (station number 07019500). Near-real-time stages at this streamgage may be obtained on the internet from the USGS National Water Information System at https://waterdata.usgs.gov/nwis or the National Weather Service Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps2/hydrograph.php?wfo=lsx&gage=desm7, which also forecasts flood hydrographs at this site (site DESM7).
Flood profiles were computed for the stream reach using a one-dimensional model for simulation of water-surface profiles with steady-state (gradually varied) or unsteady-state flow computation options. The model was calibrated by using the theoretical stage-discharge relation at the USGS streamgage Joachim Creek at De Soto, Missouri (station number 07019500), and documented high-water marks from the flood of April 18, 2013.
The hydraulic model was then used to compute 10 watersurface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum. The profiles ranged from 8.0 ft, or near bankfull, to 17.0 ft, which exceeds the stage that corresponds to the estimated 0.2-percent annual exceedance probability flood (500-year recurrence interval flood). The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.60-ft vertical accuracy and 1.97-ft horizontal resolution) to delineate the area flooded at each water level.
The availability of these maps, along with internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the National Weather Service, will provide emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures and for postflood recovery efforts.
Recommended Citation
D. Heimann et al., "Flood-inundation Maps For Joachim Creek, De Soto, Missouri, 2018," Scientific Investigations Report 2019-5068, U.S. Geological Survey, Jan 2019.
The definitive version is available at https://doi.org/10.3133/sir20195068
Department(s)
Geosciences and Geological and Petroleum Engineering
Publication Status
Public Domain
International Standard Serial Number (ISSN)
2328-0328
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2026 U.S. Geological Survey, All rights reserved.
Publication Date
01 Jan 2019

Comments
Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted materials contained within this report.
Recommended Citation: Heimann, D.C., Voss, J.D., and Rydlund, P.H., Jr., 2019, Flood-inundation maps for Joachim Creek, De Soto, Missouri, 2018: U.S. Geological Survey Scientific Investigations Report 2019–5068, 10 p., https://doi.org/10.3133/sir20195068.
Acknowledgements: The authors wish to thank the city of De Soto, Missouri, and Jefferson County, Missouri, for support in the development of flood-inundation maps and the operation and maintenance of the streamgage used for this study. The authors also wish to acknowledge the Citizens Committee for Flood Relief in De Soto, Missouri, for their continued interest and support of the U. S. Geological Survey flood-inundation mapping efforts along Joachim Creek. The authors acknowledge Wood Environment and Infrastructure Solutions for providing the original hydraulic model used in this study. Special thanks are given to the National Weather Service for their continued support of the U.S. Geological Survey Flood Inundation Mapping Program.