Simulation of water and solute transport in field soils with the LEACHP model

Dust, Martin; Baran, Nicole; Errera, Giuseppe; Hutson, J. L.; Mouvet, Christophe; Schäfer, Helmut; Vereecken, Harry; Walker, A.

doi:10.1016/s0378-3774(99)00093-1

Cited by 30 publications

(24 citation statements)

References 10 publications

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“…To evaluate the SALTMED performance through the goodness of fit between measured and simulated values, relative error (RE) (Equation ), the root mean square error (RMSE) (Equation ) (Loague and Green, ), normalized root mean square error (NRMSE) (Equation ) (Dust et al ., ), coefficient of residual mass (CRM) (Equation ) (Loague and Green, ) and the coefficient of determination ( R 2 ) were used as follows:

R E = \frac{((), O - S)}{O} x 100

italicRMSE = \sqrt {\frac{\sum_{i = 1}^{n} (O i - S i)}{n}}^{2}

italicNRMSE = \frac{italicRMSE}{\overset{true¯}{O}}

C R M = \frac{(\sum_{i = 1}^{n} O_{i} - \sum_{i = 1}^{n} S_{i})}{true {true\sum}_{i = 1}^{n} O_{i}}

where O is observed data obtained from field trials, S is predicted data by using model and n is the number of samples.…”

Section: Modellingmentioning

confidence: 99%

Saltmed Model Performance for Quinoa Irrigated with Fresh and Saline Water in a Mediterranean Environment

Kaya

Yazar

2016

Irrigation and Drainage

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The SALTMED model performance was evaluated by comparing the simulated and measured soil water content, biomass and grain yield data of quinoa grown in a Mediterranean climate under various irrigation regimes using fresh and saline water of different qualities. The data from a two-year field study (2010)(2011)(2012) were used for this purpose. Six different treatments consisted of full irrigation with fresh and saline water with salinity levels of EC w 10, 20 and 30 dS m -1 , and deficit irrigation with fresh water applied at 50 and 75% of full irrigation and rainfed treatment were considered. Quinoa irrigated with saline water of 30 dS m -1 resulted in significant grain yield reduction in 2010, but slightly reduced with water salinity level ranging from 10 to 30 dS m -1 in comparison to fresh water in 2012. However, deficit irrigation with fresh water reduced plant dry matter yields considerably. The results of calibration and validation of the model showed that the SALTMED model can simulate soil water content, dry matter and grain yield of quinoa with high accuracy under various watering regimes using fresh and saline water of different qualities. Copyright © 2016 John Wiley & Sons, Ltd.

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R E = \frac{((), O - S)}{O} x 100

italicRMSE = \sqrt {\frac{\sum_{i = 1}^{n} (O i - S i)}{n}}^{2}

italicNRMSE = \frac{italicRMSE}{\overset{true¯}{O}}

C R M = \frac{(\sum_{i = 1}^{n} O_{i} - \sum_{i = 1}^{n} S_{i})}{true {true\sum}_{i = 1}^{n} O_{i}}

where O is observed data obtained from field trials, S is predicted data by using model and n is the number of samples.…”

Section: Modellingmentioning

confidence: 99%

Saltmed Model Performance for Quinoa Irrigated with Fresh and Saline Water in a Mediterranean Environment

Kaya

Yazar

2016

Irrigation and Drainage

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“…Drainage and bromide fluxes measured in drainable lysimeters have also been used recently to validate deterministic water and solute transport models under field conditions. Water fluxes from drainable lysimeters can be relatively well simulated under transient conditions with the Richards equation and some calibration (Majdoub et al, 2000; Dust et al, 2000; Vanclooster et al, 2000). However, bromide breakthrough curves are in some cases poorly simulated with the classical convection–dispersion equation due to soil heterogeneity, preferential flow, and plant interference on bromide leaching (Dust et al, 2000; Vanclooster et al, 2000).…”

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confidence: 99%

Solute Transport Modeling under Cultivated Sandy Soils and Transient Water Regime

et al. 2002

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Drainable lysimeters offer the possibility to integrate heterogeneous solute leaching conditions caused by row crops and transient water regime, and to conveniently measure water and solute fluxes at the drainage outlet. To compare solute leaching behavior in and around drainable lysimeters operating under a transient water regime in potato (Solanum tuberosum L.) fields, parameters of the convective lognormal transfer (CLT) function model were fitted using bromide (Br-) flux concentrations (Cf) measured in lysimeters and from Br- resident concentrations (Cr) measured in adjacent soil cores. Expected mean values Ez(I) obtained from Cr and Cf CLT parameters were equivalent and well correlated (R2 = 0.78). However, estimated median values mu of the CLT function were smaller when derived from Cr (1.05 to 1.28) compared with Cf (1.23 to 2.14). Most mu values were also smaller than previously reported values for a 30-cm reference depth, indicating that 50% of solute mass would leach more readily in these coarse sandy soils. Higher variance and dispersion of Cr compared with those of Cf could be related to a smaller sampling support (sample size/sampling area) in the case of Cr measured by soil coring, or to disruption of solute transport mechanisms in the repacked lysimeter. Retained Br- in the top soil layer after 12 to 17 cm of cumulative drainage was indicated by measured Cr. Neither CLT function simulated well residual topsoil Cr values, indicating that Br- plant cycling or preferential flow probably interfered even though tuber Br- uptake was relatively small.

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“…Addicott and Whitmor (1987) concluded that any one method of measuring discrepancy between model output and observed data alone might be misleading, but several methods used together could summarize the closeness of a model's estimates and measurements with the observed values. So, in addition to graphical comparison, the following statistics and model performance indicators were used to indicate overall model performance: Coefficient of correlation, standard deviation, standard error, coefficient of variation, mean bias or average deviation, root mean square error (RMSE), scaled root mean square error (SRMSE), Relative error, model efficiency, and index of agreement (IA) [Ali et al, 2004, Dust et al, 2000Lecina et al, 2003;Loague and Green, 1991;Law, 1983]. where S and M are the simulated and measured values for the ith observation and N is the number of observations.…”

Section: Statistical Parameters Used To Compare the Model Outputmentioning

confidence: 99%

Estimation of evapotranspiration using a simulation model

Ali

Paul

Haque

2012

J Bangladesh Agric Univ

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Practical methods for the accurate estimation of water requirement for irrigated agriculture are essential. Simulation model is a useful tool to estimate water balance in the crop field. In this study, the BUDGET model was used to evaluate its performance to simulate water balance in wheat field. The BUDGET model is composed of a set of validated subroutines describing the various processes involved in water extraction by plant roots and soil water movement in absence of a water table

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Simulation of water and solute transport in field soils with the LEACHP model

Cited by 30 publications

References 10 publications

Saltmed Model Performance for Quinoa Irrigated with Fresh and Saline Water in a Mediterranean Environment

Saltmed Model Performance for Quinoa Irrigated with Fresh and Saline Water in a Mediterranean Environment

Solute Transport Modeling under Cultivated Sandy Soils and Transient Water Regime

Estimation of evapotranspiration using a simulation model

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