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Long-Term Spatio-Temporal Variation in Runoff Curve Number under Consistent Cover Conditions: a Southeastern US Case Study

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  • D. R. Edwards

    (University of Kentucky)

Abstract

Runoff, erosion and pollutant transport are influenced by spatial and temporal variation in soil hydraulic properties. Hydrologic models contain parameters that are related to these properties. Model parameters can be anticipated to exhibit similar variation which, when characterized, can improve runoff estimates. This study used plot-scale data from a 0.07 ha grassed study area in the southeastern US to characterize spatio-temporal variation in the NRCS curve number (CN) parameter. Based on over 200 rainfall-runoff data pairs collected over a 19-year period, CN exhibited highly variable (coefficient of variation up to 0.54) spatial behavior. Within-plot variation also demonstrated discernible spatial structure, with high variation associated with low CN. While preserving some similarities, spatial structure of CN and connectedness of regions of similar CN varied with runoff event date. Temporal trends were detected, with some regions demonstrating increasing trends and others decreasing. Rainfall-runoff plot characteristics and experimental protocols were consistent during the period of data collection; based on spatial distribution of CN values and trends as well as observation, traffic patterns and mammalian bioturbation are hypothesized as major sources of observed spatio-temporal CN variation.

Suggested Citation

  • D. R. Edwards, 2017. "Long-Term Spatio-Temporal Variation in Runoff Curve Number under Consistent Cover Conditions: a Southeastern US Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3491-3505, September.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:11:d:10.1007_s11269-017-1680-z
    DOI: 10.1007/s11269-017-1680-z
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    References listed on IDEAS

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    1. Selome Tessema & Steve Lyon & Shimelis Setegn & Ulla Mörtberg, 2014. "Effects of Different Retention Parameter Estimation Methods on the Prediction of Surface Runoff Using the SCS Curve Number Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3241-3254, August.
    2. Mohamed Elhakeem & Athanasios Papanicolaou, 2009. "Estimation of the Runoff Curve Number via Direct Rainfall Simulator Measurements in the State of Iowa, USA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2455-2473, September.
    3. Hamidreza Hajihosseini & Mohammadreza Hajihosseini & Saeed Morid & Majid Delavar & Martijn J. Booij, 2016. "Hydrological Assessment of the 1973 Treaty on the Transboundary Helmand River, Using the SWAT Model and a Global Climate Database," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4681-4694, October.
    4. Konstantinos Soulis & John Valiantzas, 2013. "Identification of the SCS-CN Parameter Spatial Distribution Using Rainfall-Runoff Data in Heterogeneous Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(6), pages 1737-1749, April.
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