Model for simulating soil-water content considering evapotranspiration — Comments

Feddes, R.A.; Zaradny, H.

doi:10.1016/0022-1694(78)90030-6

Cited by 28 publications

(10 citation statements)

References 5 publications

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“…The rainfall interception was set at 0.75mm with a constant Albedo of 0.23. The Feddes and Zaradny [ 46 ] model with Wesseling [ 47 ] parameters was used to simulate root and water uptake while soil cover fractions were calculated using corn and soybean specific crop coefficients. Field capacity and permanent wilting points were used to determine the volumetric soil water content at 25% available soil water (θ = 0.21 or 21%) which has been shown to be the most accurate threshold to categorize water stress effects on corn yield across environments in Ontario [ 48 ].…”

Section: Methodsmentioning

confidence: 99%

“…Unknown parameters were estimated with a maximum likelihood approach using the Expectations-Maximization (EM) algorithm [ 53 ], with estimated parameters for each individual treatment (14 treatments with n = 31) and pooled across treatments (n = 434) are reported in S2 Table . Four different initialization methods were used for the algorithm and parameter estimates were based on the set of starting values giving the highest penalized likelihood [ 46 ]. Yield distributions were estimated using yields adjusted for a time trend without treatment effects (because the treatment fixed effects failed to provide a statistically significant improvement in successive F-tests, S3 Table ).…”

Section: Methodsmentioning

confidence: 99%

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Increasing Crop Diversity Mitigates Weather Variations and Improves Yield Stability

et al. 2015

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Cropping sequence diversification provides a systems approach to reduce yield variations and improve resilience to multiple environmental stresses. Yield advantages of more diverse crop rotations and their synergistic effects with reduced tillage are well documented, but few studies have quantified the impact of these management practices on yields and their stability when soil moisture is limiting or in excess. Using yield and weather data obtained from a 31-year long term rotation and tillage trial in Ontario, we tested whether crop rotation diversity is associated with greater yield stability when abnormal weather conditions occur. We used parametric and non-parametric approaches to quantify the impact of rotation diversity (monocrop, 2-crops, 3-crops without or with one or two legume cover crops) and tillage (conventional or reduced tillage) on yield probabilities and the benefits of crop diversity under different soil moisture and temperature scenarios. Although the magnitude of rotation benefits varied with crops, weather patterns and tillage, yield stability significantly increased when corn and soybean were integrated into more diverse rotations. Introducing small grains into short corn-soybean rotation was enough to provide substantial benefits on long-term soybean yields and their stability while the effects on corn were mostly associated with the temporal niche provided by small grains for underseeded red clover or alfalfa. Crop diversification strategies increased the probability of harnessing favorable growing conditions while decreasing the risk of crop failure. In hot and dry years, diversification of corn-soybean rotations and reduced tillage increased yield by 7% and 22% for corn and soybean respectively. Given the additional advantages associated with cropping system diversification, such a strategy provides a more comprehensive approach to lowering yield variability and improving the resilience of cropping systems to multiple environmental stresses. This could help to sustain future yield levels in challenging production environments.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Increasing Crop Diversity Mitigates Weather Variations and Improves Yield Stability

et al. 2015

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“…Vegetative water uptake is simulated using a mechanistic approach based on the Nimah and Hanks ͑1973͒ model ͑LEACHM͒ or a semiempirical approach where potential transpiration ͑PT͒ is distributed throughout the root zone in proportion to the relative root density ͑HYDRUS and UNSAT-H͒. In the latter approach, the effects of water availability are simulated using an empirical plant limiting function ͑e.g., Feddes andZaradny 1978 or van Genuchten 1987͒. For all three codes, water uptake at a given depth ceases when the suction exceeds the wilting point.…”

Section: Codesmentioning

confidence: 99%

Comparison of Field Data and Water-Balance Predictions for a Capillary Barrier Cover

Ogorzalek

Bohnhoff

Shackelford

et al. 2008

J. Geotech. Geoenviron. Eng.

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Predictions of surface runoff ͑R͒, evapotranspiration ͑ET͒, soil-water storage ͑S͒, and percolation obtained using three numerical codes ͑LEACHM, HYDRUS, and UNSAT-H͒ employed to simulate the hydrology of water-balance covers are compared to measured water-balance data from a lysimeter used to monitor a capillary barrier cover profile in a subhumid climate. All of the codes captured the seasonal variations in water-balance quantities observed in the field. LEACHM and HYDRUS predicted total R during the monitoring period with reasonable accuracy ͑within 18 mm using general mean parameters͒, but the timing of predicted and observed R events was different. In contrast, UNSAT-H consistently overpredicted R by at least 239 mm. Evapotranspiration was predicted reliably ͑within 60 mm͒ with all three codes when data from the first year were excluded. However, all three codes overpredicted ET in late winter and early spring, when snowmelt was occurring and S was accumulating in the field. Consequently, S generally was underpredicted by all three codes. Predicted and measured percolation were in good agreement ͑within 1 mm/ year͒, except during the first year. Results of the comparison indicate that cover modelers should scrutinize runoff predictions for reasonableness and carefully account for snow accumulation, snow melt, and ET during snow cover.

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“…Actual evapotranspiration depends on the actual soil water content, capillary pressure, and LULC. It also considers the transpiration reduction due to oxygen or dryness stress [46,78].…”

Section: Hydrological Modelingmentioning

confidence: 99%

Testing the Robustness of a Physically-Based Hydrological Model in Two Data Limited Inland Valley Catchments in Dano, Burkina Faso

et al. 2020

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This study investigates the robustness of the physically-based hydrological model WaSiM (water balance and flow simulation model) for simulating hydrological processes in two data sparse small-scale inland valley catchments (Bankandi-Loffing and Mebar) in Burkina Faso. An intensive instrumentation with two weather stations, three rain recorders, 43 piezometers, and one soil moisture station was part of the general effort to reduce the scarcity of hydrological data in West Africa. The data allowed us to successfully parameterize, calibrate (2014–2015), and validate (2016) WaSiM for the Bankandi-Loffing catchment. Good model performance concerning discharge in the calibration period (R2 = 0.91, NSE = 0.88, and KGE = 0.82) and validation period (R2 = 0.82, NSE = 0.77, and KGE = 0.57) was obtained. The soil moisture (R2 = 0.7, NSE = 0.7, and KGE = 0.8) and the groundwater table (R2 = 0.3, NSE = 0.2, and KGE = 0.5) were well simulated, although not explicitly calibrated. The spatial transposability of the model parameters from the Bankandi-Loffing model was investigated by applying the best parameter-set to the Mebar catchment without any recalibration. This resulted in good model performance in 2014–2015 (R2 = 0.93, NSE = 0.92, and KGE = 0.84) and in 2016 (R2 = 0.65, NSE = 0.64, and KGE = 0.59). This suggests that the parameter-set achieved in this study can be useful for modeling ungauged inland valley catchments in the region. The water balance shows that evaporation is more important than transpiration (76% and 24%, respectively, of evapotranspiration losses) and the surface flow is very sensitive to the observed high interannual variability of rainfall. Interflow dominates the uplands, but base flow is the major component of stream flow in inland valleys. This study provides useful information for the better management of soil and scarce water resources for smallholder farming in the area.

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Model for simulating soil-water content considering evapotranspiration — Comments

Cited by 28 publications

References 5 publications

Increasing Crop Diversity Mitigates Weather Variations and Improves Yield Stability

Increasing Crop Diversity Mitigates Weather Variations and Improves Yield Stability

Comparison of Field Data and Water-Balance Predictions for a Capillary Barrier Cover

Testing the Robustness of a Physically-Based Hydrological Model in Two Data Limited Inland Valley Catchments in Dano, Burkina Faso

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