Advanced Search

Indexed by SCI、CA、РЖ、PA、CSA、ZR、etc .

Volume 31 Issue 6
Dec 2020
Turn off MathJax
Article Contents
Robert E. Criss, David L. Nelson. Discharge-Stage Relationship on Urban Streams Evaluated at USGS Gauging Stations, St. Louis, Missouri. Journal of Earth Science, 2020, 31(6): 1133-1141. doi: 10.1007/s12583-020-1089-0
Citation: Robert E. Criss, David L. Nelson. Discharge-Stage Relationship on Urban Streams Evaluated at USGS Gauging Stations, St. Louis, Missouri. Journal of Earth Science, 2020, 31(6): 1133-1141. doi: 10.1007/s12583-020-1089-0

Discharge-Stage Relationship on Urban Streams Evaluated at USGS Gauging Stations, St. Louis, Missouri

doi: 10.1007/s12583-020-1089-0
More Information
  • Corresponding author: Robert E. Criss, criss@wustl.edu
  • Received Date: 10 Jun 2020
  • Accepted Date: 03 Oct 2020
  • Publish Date: 18 Dec 2020
  • Extensive USGS data tables and detailed, 1 m2 LiDAR surveys are used to determine the optimal power n that relates discharge (Q) to stage (h*) above channel bottom (ho) at 39 gauging stations on small streams in the St. Louis, Missouri area, all of which have catchments of 0.6 to 220 km2. Four different methodologies are employed to determine both n and ho:(1) optimizing linearity in a plot of Q1/n vs. local stage (hL) using USGS field measurements at each site; (2) optimizing linearity in a plot of Q1/n vs. hL using USGS rating tables at each site; (3) a mathematical inverse method applied to the same USGS rating tables; (4) use of LiDAR data on channel geometry to determine the power dependences of channel area A and hydraulic radius H on h*, combined with the Manning and rational equations to predict n. Of these methods, only methods 2 and 3 compare favorably, and these values compare poorly with Method 1 based on field data, and with method 4 based on theoretical and empirical relationships. Because Method 4 is predictive, it provides a useful alternative to methods 1-3 that are based on USGS field measurements, which are heavily weighted toward low discharges. We conclude that the apparent values of n in the USGS rating tables are systematically too low for small streams.

     

  • loading
  • Arundel, S. T., Archuleta, C.-A. M., Phillips, L. A., et al., 2015.1-Meter Digital Elevation Model Specification. U.S. Geological Survey Techniques and Methods, Book 11, Chapter B7.25. https://doi.org/10.3133/tm11B7
    ASCE, 1988. The River des Peres: A St. Louis Landmark. http://sections.asce.org/stlouis/History/files/River%20des%20Peres%20%20A%20St.%20Louis%20Landmark.pdf
    Chow, V. T., 1964. Handbook of Applied Hydrology. McGraw-Hill, New York https://www.researchgate.net/publication/243770926_A_Handbook_of_Applied_Hydrology
    Criss, R. E., Lippmann, J. L., Criss, E. M., et al., 2007. Caves of St. Louis County, Missouri. Missouri Speleology, 45(1):1-18
    Criss, R. E., 2016. Statistics of Evolving Populations and Their Relevance to Flood Risk. Journal of Earth Science, 27(1):2-8. https://doi.org/10.1007/s12583-015-0641-9
    Criss, R. E., Luo, M. M., 2017. Increasing Risk and Uncertainty of Flooding in the Mississippi River Basin. Hydrological Processes, 31(6):1283-1292. https://doi.org/10.1002/hyp.11097
    Criss, R. E., 2018. Theoretical Link between Rainfall and Flood Magnitude. Hydrological Processes, 32(11):1607-1615. https://doi.org/10.1002/hyp.11511
    Criss, R. E., 2020. Dependence of Discharge, Channel Area, and Flow Velocity on River Stage and a Refutation of Manning's Equation. In: Foulger, G. R., Jurdy, D. M, Stein, C. M., et al., eds., In the Footsteps of Warren B. Hamilton: New Ideas in Earth Science, Geological Society of America Special Paper
    De Wiest, R. J. M., 1965. Geohydrology. John Wiley & Sons, New York
    FEMA, 2015. Flood Insurance Study, St. Louis County, Missouri. Volumes 1-4. Study No. 29889CV001A
    Groetsch, C. W., 1999. Inverse Problems:Activities for Undergraduates. Cambridge University Press, Cambridge
    Harrison, R. W., 1997. Bedrock Geologic Map of the St. Louis 30'×60' Quadrangle, Missouri and Illinois. U.S. Geological Survey, Miscellaneous Investigations Series, Map I-2533
    Hasenmueller, E. A., Criss, R. E., 2013. Multiple Sources of Boron in Urban Surface Waters and Groundwaters. Science of the Total Environment, 447:235-247. https://doi.org/10.1016/j.scitotenv.2013.01.001
    Lutzen, E. E., Rockaway, J. D. Jr., 1989. Engineering Geologic Map of St. Louis County, Missouri. Missouri Dept. of Natural Resources. OFM-89-256-EG
    Madin, I., English, J. T., 2012. Interpolating Stage-Discharge Relationships Using Serial LiDAR along the Sandy River, Oregon. AGU Fall Meeting Abstracts, G23A-0898
    MODNR, 2020. List of Impaired Waters (303d). Missouri Department of Natural Resources. https://dnr.mo.gov/env/wpp/waterquality/index.html
    MSDIS, 2019. Missouri Spatial Data Information Service. (2019-11)[2020-10-9] http://msdis.missouri.edu/data
    Nathanson, M., Kean, J. W., Grabs, T. J., et al., 2012. Modelling Rating Curves Using Remotely Sensed LiDAR Data. Hydrological Processes, 26(9):1427-1434. https://doi.org/10.1002/hyp.9225
    NWS, 2020. NWS Forecast Office St. Louis, MO. https://www.weather.gov/lsx/
    National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center, 2012. Lidar 101: An Introduction to Lidar Technology, Data, and Applications. Revised. NOAA Coastal Services Center, Charleston, SC
    NOAA, 2017. Atlas 14 Point Precipitation Frequency Estimates: Missouri.[2020-6-1]. https://hdsc.nws.noaa.gov/hdsc/pfds/pfds_map_cont.html
    Paul, J. D., Buytaert, W., Sah, N., 2020. A Technical Evaluation of LiDAR-Based Measurement of River Water Levels. Water Resources Research, 56(4):e2019WR026810. https://doi.org/10.1029/2019wr026810
    Southard, R. E., 2010. Estimation of the Magnitude and Frequency of Floods in Urban Basins in Missouri. USGS Scientific Investigations Report 2010-5073.27
    Surdex, 2017. St. Louis LiDAR Acquisition and Processing Report; LiDAR Flight Log Report; USACE Contract G16PC00029
    USGS, 1981. Guidelines for Determining Flood Flow Frequency. Interagency Advisory Committee on Water Data, Bulletin #17B of the Hydrology Subcommittee. U.S. Geological Survey, Office of Water Data Coordination, Reston, Virginia
    USGS, 2020. USGS Current Water Data for Missouri. (2020-5). https://waterdata.usgs.gov/mo/nwis/rt
    Vineyard, J. D., 1967. Physiography. In:Mineral and Water Resources of Missouri. Missouri Division of Geological Survey and Water Resources, 43:13-15
    Wahl, K. L., Thomas, W. O. Jr., Hirsch, R. M., 1995. Stream-Gaging Program of the US Geological Survey. US Geol. Survey Circular 1123, Reston, Virginia. http://water.usgs.gov/pubs/circ/circ1123
    Wilson, D. A., 2009. Hurricane Ike and Impact of Localized Flooding in St. Louis County, Sept. 14, 2008. In: Criss, R. E., Kusky, T. M., eds., Finding the Balance between Floods, Flood Protection, and River Navigation. St. Louis University, Center for Environmental Sciences, St. Louis. 22-27
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(1)

    Article Metrics

    Article views(147) PDF downloads(11) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return