1996
DOI: 10.4141/cjss96-020
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Simulation of soil moisture and other components of the hydrological cycle using a water budget approach

Abstract: . 1996. Simulating soil moisture and other components of the hydrological cycle using a water budget approach. Can. J. Soil Sci. 75: tlt_t[2. Accurate simulation of soil moisture content at any time of th. y.r, ir*i.po.tunt to a!.icutture in dry regions due to the vital role soil moisture plays in crop production' In certain applicationi, such as drought moiitoring, other components of the hydrologic cycle such as runoff, snowmelt runoff, deep drainage and evaporative loss must also be accurately estimated. Th… Show more

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Cited by 53 publications
(59 citation statements)
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“…In this study we employed the Residual Soil Nitrogen indicator ), coupled with a modified version of the Versatile Soil Moisture Budget Model (VSMB; Akinremi et al 1996) to compute longterm N leaching under a historic baseline climate and under four climate change scenarios. Further details on the methods, assumptions and data are given below.…”
Section: Methodsmentioning
confidence: 99%
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“…In this study we employed the Residual Soil Nitrogen indicator ), coupled with a modified version of the Versatile Soil Moisture Budget Model (VSMB; Akinremi et al 1996) to compute longterm N leaching under a historic baseline climate and under four climate change scenarios. Further details on the methods, assumptions and data are given below.…”
Section: Methodsmentioning
confidence: 99%
“…As in previous versions of the VSMB, the new algorithm uses field capacity to determine water flow between layers (the so-called capacity based approach), but it is also linked to an empirical subroutine that accounts for both upward-and downward redistribution of soil water by unsaturated flow. Furthermore, Akinremi et al (1996) improved the surface runoff subroutine for rainfall and snowmelt.…”
Section: Water Balance Calculations and N Leachingmentioning
confidence: 99%
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“…However, soil properties may not have any effects in simulations without water and N stress, that is, the simulations for potential yield discussed later. To take into account the year-to-year variations of seeding date, seeding dates in the simulations were estimated using the criteria developed by Bootsma and De Jong (1988), based on daily air temperatures, precipitation, and estimated soil moisture on a loam soil with an available water-holding capacity (AWC) of 150 mm by the Versatile Soil Moisture Budget model (VSMB) (Baier et al, 1979;Akinremi et al, 1996). Planting was assumed to start when 10 d had occurred after 15 April meeting the following criteria: 0.75T max + 0.25T min > 7°C; daily precipitation <2 mm; snow on ground <10 mm; SW 1 < 0.90 AWC 1 and SW 2 < 0.95 AWC 2 .…”
Section: Crop Growth Simulationsmentioning
confidence: 99%
“…Daily maximum and minimum air temperatures, rainfall, and total precipitation (Environment Canada 2002) were used to estimate daily mean soil temperature at 5 cm depth with the soil-temperature algorithm in the modified versatile soil moisture budget (Akinremi et al 1996). Because daily solar radiation for the two sites was required for the versatile soil moisture budget, we estimated this using the Hargreaves formula for calculating solar radiation (Hargreaves and Samani 1982): ), and T max and T min are the daily maximum and minimum air temperature, respectively.…”
Section: Predicting Spring Emergence In the Fieldmentioning
confidence: 99%