Use of soil moisture data and curve number method for estimating runoff in the Loess Plateau of China

Authors

  • Mingbin Huang,

    Corresponding author
    1. Institute of Soil and Water Conservation, Northwest A&F University; CAS&MWR, Yangling, Shaanxi Province 712100, People's Republic of China
    2. The State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Yangling, Shaanxi Province 712100, People's Republic of China
    • Institute of Soil and Water Conservation, Northwest A&F University; CAS&MWR, Yangling, Shaanxi Province 712100, People's Republic of China.
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  • Jacques Gallichand,

    1. Département des Sols et de Génie Agroalimentaire, FSAA, Université Laval, Québec, QC G1K 7P4, Canada
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  • Cuiyun Dong,

    1. Institute of Soil and Water Conservation, Northwest A&F University; CAS&MWR, Yangling, Shaanxi Province 712100, People's Republic of China
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  • Zhanli Wang,

    1. Institute of Soil and Water Conservation, Northwest A&F University; CAS&MWR, Yangling, Shaanxi Province 712100, People's Republic of China
    2. The State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Yangling, Shaanxi Province 712100, People's Republic of China
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  • Mingan Shao

    1. Institute of Soil and Water Conservation, Northwest A&F University; CAS&MWR, Yangling, Shaanxi Province 712100, People's Republic of China
    2. The State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Yangling, Shaanxi Province 712100, People's Republic of China
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Abstract

The Soil Conservation Service curve number (CN) method commonly uses three discrete levels of soil antecedent moisture condition (AMC), defined by the 5-day antecedent rainfall depth, to describe soil moisture prior to a runoff event. However, this way may not adequately represent soil water conditions of fields and watersheds in the Loess Plateau of China. The objectives of this study were: (1) to determine the effective soil moisture depth to which the CN is most related; (2) to evaluate a discrete and a linear relationship between AMC and soil moisture; and (3) to develop an equation between CN and soil moisture to predict runoff better for the climatic and soil conditions of the Loess Plateau of China. The dataset consisted of 10 years of rainfall, runoff and soil moisture measurements from four experimental plots cropped with millet, pasture and potatoes. Results indicate that the standard CN method underestimated runoff depths for 85 of the 98 observed plot-runoff events, with a model efficiency E of only 0·243. For our experimental conditions, the discrete and linear approaches improved runoff estimation, but still underestimated most runoff events, with E values of 0·428 and 0·445 respectively. Based on the measured CN values and soil moisture values in the top 15 cm of the soil, a non-linear equation was developed that predicted runoff better with an E value of 0·779. This modified CN equation was the most appropriate for runoff prediction in the study area, but may need adjustments for local conditions in the Loess Plateau of China. Copyright © 2006 John Wiley & Sons, Ltd.

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