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Estimating Nitrate Leaching with a Transfer Function Model Incorporating Net Mineralization and Uptake of Nitrogen

Li Rena, Junhua Maa and Renduo Zhang*,b

a Department of Soil and Water Sciences, China Agricultural University, and Key Laboratory of Plant–Soil Interactions, MOE, Beijing, 100094, China
b Department of Renewable Resources, University of Wyoming, Laramie, WY 82071-3354 and Department of Water Resources, Wuhan University, Wuhan 430072, China



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Fig. 1. Rainfall distribution during the study period.

 


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Fig. 2. Cumulative water input (irrigation and rainfall) and cumulative actual and potential evapotranspiration vs. time.

 


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Fig. 3. Vertical water content distribution in lysimeter SE2 for different times.

 


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Fig. 4. Vertical distribution of air-filled porosity in lysimeter SE2 for different depths.

 


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Fig. 5. Measured probability density function (pdf) data of NO3–N and fitted lognormal pdf functions for (A) 120, (B) 60, and (C) 0 kg N ha-1 treatments.

 


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Fig. 6. Dynamics of net mineralization vs. time in lysimeters for (A) 120, (B) 60, and (C) 0 kg N ha-1 treatments.

 


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Fig. 7. Combined effects (Cb in Eq. [8]) of the main N transformations (immobilization, mineralization, and plant uptake) vs. time for the 120, 60, and 0 kg N ha-1 treatments.

 


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Fig. 8. Measured leaching amount of NO3–N and estimated results using the White (1987) method (Eq. [6]) and Eq. [12] for (A) 120, (B) 60, and (C) 0 kg N ha-1 treatments.

 


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Fig. 9. Goodness of fits between simulated (Eq. [12]) and measured leaching amount of NO3–N for (A) 120, (B) 60, and (C) 0 kg N ha-1 treatments.

 





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Vadose Zone Journal
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