Watercourse Pollution due to Surface Runoff following Slurry Spreading. Part I: Calibration of the Soil Water Simulation Model SOIL for Fields Prone to Surface Runoff

1999 ◽  
Vol 72 (3) ◽  
pp. 275-290 ◽  
Author(s):  
D.R. Lewis ◽  
M.B. McGechan
Keyword(s):  
Simulation Model ◽  
Soil Water ◽  
Surface Runoff ◽  
Model Soil ◽  
Water Simulation

Robust three-body water simulation model

2011 ◽  
Vol 134 (18) ◽  
pp. 184501 ◽  
Author(s):  
C. J. Tainter ◽  
P. A. Pieniazek ◽  
Y.-S. Lin ◽  
J. L. Skinner
Keyword(s):  
Simulation Model ◽  
Body Water ◽  
Water Simulation ◽  
Three Body

Parameter selection and testing the soil water model SOIL

1997 ◽  
Vol 195 (1-4) ◽  
pp. 312-334 ◽  
Author(s):  
M.B. McGechan ◽  
R. Graham ◽  
A.J.A. Vinten ◽  
J.T. Douglas ◽  
P.S. Hooda
Keyword(s):  
Soil Water ◽  
Parameter Selection ◽  
Water Model ◽  
Model Soil ◽  
Soil Water Model

Use of Soil Survey Data for Regional Soil Water Simulation Models

1985 ◽  
Vol 49 (5) ◽  
pp. 1238-1244 ◽  
Author(s):  
J. H. M. Wösten ◽  
J. Bouma ◽  
G. H. Stoffelsen
Keyword(s):  
Soil Water ◽  
Survey Data ◽  
Simulation Models ◽  
Soil Survey ◽  
Water Simulation

Simulation of the Responses of Dry Beans (Phaseolus vulgaris L.) to Irrigation

2017 ◽  
Vol 60 (6) ◽  
pp. 1983-1994 ◽  
Author(s):  
Mónica Espadafor ◽  
Lairson Couto ◽  
Morethson Resende ◽  
Delbert W. Henderson ◽  
Margarita García-Vila ◽  
...  
Keyword(s):  
Phaseolus Vulgaris ◽  
Simulation Model ◽  
Soil Water ◽  
Yield Response ◽  
Soil Conditions ◽  
Dry Beans ◽  
Phaseolus Vulgaris L ◽  
Management Options ◽  
Crop Simulation ◽  
Wide Range

Abstract. AquaCrop is a crop simulation model developed by the FAO aimed at assessing the yield response to water supply. Once the model is calibrated and validated, it is a useful tool to simulate crop yields under different management options or climatic and soil conditions. Until now, AquaCrop has not been parameterized for dry beans ( L.), and thus our objective was to calibrate and validate the model for this crop using experiments performed 40 years ago at Davis, California. A set of parameters derived from the calibration with one irrigation experiment was used to validate the model using five experiments carried out in 1977 and 1978 that had treatments vastly differing in irrigation depth and frequency. Yield predictions over a wide range of values (<1 to 3.5 t ha-1) were very good, with RMSE of 0.16 t ha-1 and Willmott’s d of 0.978. Seasonal ET was also accurately predicted by the model (RMSE = 40 mm, d = 0.930), as also evidenced by comparing the lysimeter measured ET of 489 mm against the lysimeter simulated ET of 501 mm. Canopy cover and the time course of biomass were adequately simulated as well. Even though total soil water extraction was well simulated, the simulated soil water distribution with depth differed from measured values in the dryland treatment. We conclude that AquaCrop can now be used for the simulation of dry beans in different environments, and we emphasize the value of carefully conducted field experiments for the validation of crop simulation models. Keywords: AquaCrop, Calibration and validation, Dry beans (Phaseolus vulgaris L.), Irrigation, Simulation model, Water stress.

Soil Water Simulation and Predication Using Stochastic Models Based on LS-SVM for Red Soil Region of China

2011 ◽  
Vol 25 (11) ◽  
pp. 2823-2836 ◽  
Author(s):  
Jianqiang Deng ◽  
Xiaomin Chen ◽  
Zhenjie Du ◽  
Yong Zhang
Keyword(s):  
Soil Water ◽  
Stochastic Models ◽  
Red Soil ◽  
Water Simulation

Surface soil water dynamics in pastures in northern New South Wales. 2. Surface runoff

2004 ◽  
Vol 44 (3) ◽  
pp. 283 ◽  
Author(s):  
S. R. Murphy ◽  
G. M. Lodge ◽  
S. Harden
Keyword(s):  
Soil Water ◽  
Surface Runoff ◽  
New South ◽  
Ground Cover ◽  
Simulation Modelling ◽  
Runoff Generation ◽  
Grazed Pastures ◽  
South Wales ◽  
Runoff Events

Surface runoff can represent a significant part of the hydrological balance of grazed pastures on the north-west slopes of New South Wales, and is influenced by a range of rainfall characteristic, soil property, and pasture conditions. Runoff plots were established on grazed pastures at 3 sites as part of the Sustainable Grazing Systems National Experiment (SGS NE). Pastures were either native (redgrass, wallaby grass and wire grass) or sown species (phalaris, subterranean clover and lucerne) and a range of grazing management treatments were imposed to manipulate pasture herbage mass, litter mass and ground cover. Rainfall and runoff events were recorded using automatic data loggers between January 1998 and September 2001. Stored soil water in the surface layer (0–22.5 cm) was monitored continuously using electrical resistance sensors and automatic loggers. Pasture herbage mass, litter mass and ground cover were estimated regularly to provide information useful in interpreting runoff generation processes.Total runoff ranged from 6.6 mm at Manilla (0.3% of rainfall) to 185 mm at Nundle (5.7% of rainfall) for different grazing treatments, with the largest runoff event being recorded at Nundle (46.7 mm). Combined site linear regression analyses showed that soil depth, rainfall depth and rainfall duration explained up to 30.3% of the variation in runoff depth. For individual sites, these same variables were also important, accounting for 13.3–33.6% of the variation in runoff depth. Continuous monitoring of stored soil water in relation to these runoff events indicated that the majority of these events were generated by saturation excess, with major events in winter contributing substantially to regional flooding. Long-term simulation modelling (1957–2001) using the SGS Pasture Model indicated that most runoff events were generated in summer, which concurred with the number of flood events recorded at Gunnedah, NSW, downstream of the SGS sites. However, floods also occurred frequently in winter, but the simulations generated few runoff events at that time of the year. These results have important implications for sustainability of grazed pastures and long-term simulation modelling of the hydrological balance of such systems, since runoff generation processes are likely to vary both spatially and temporally for different rainfall events.

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