Fluxes through the bottom boundary of the root zone in silty soils: Parametric approaches to estimate groundwater contribution and percolation

Liu, Y.; Pereira, Luís S.; Fernando, R.M.

doi:10.1016/j.agwat.2006.01.018

Cited by 115 publications

(107 citation statements)

References 13 publications

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“…DP values computed with SIMDualKc were generally higher, up to 171 mm, than those estimated with AquaCrop (Table 4) due to differences in the computation of DP: SIMDualKc uses a parametric function (Liu et al 2006) whose parameters a D and b D are calibrated, as per this application. In contrast, in AquaCrop, DP is estimated using a quasi-deterministic redistribution and drainage module based on the hydraulic characteristics of the soil [14] but does not use calibrated parameters.…”

Section: Water Balance and Water Use Componentsmentioning

confidence: 99%

“…RO was computed using the curve number (CN) approach [44]. DP was computed with a parametric equation [45] requiring two parameters, a D characterizing storage and b D referring to the velocity of vertical drainage, both estimated from soil physical characteristics [45]. The SIMDualKc model calibration consists of searching the model crop parameters-basal crop coefficients K cb and depletion fraction for no stress p, soil evaporation parameters Z e , TEW and REW, runoff curve number CN, and DP parameters a D and b D -that minimize the deviations between the simulated and observed SWC values.…”

Section: Modellingmentioning

confidence: 99%

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Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Giménez

Paredes

Pereira

2017

Water

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Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter combined with the Stewart's yield model. SIMDualKc applies the FAO56 dual crop coefficient approach for computing and partitioning evapotranspiration (ET) into actual crop transpiration (T c act ) and soil evaporation (E s ), while AquaCrop uses an approach that depends on the canopy cover curve. The calibration-validations of models were performed by comparing observed and predicted soil water content (SWC) and grain yield. SIMDualKc showed good accuracy for SWC estimations, with normalized root mean square error (NRMSE) ≤ 7.6%. AquaCrop was less accurate, with NRMSE ≤ 9.2%. Differences between models regarding the water balance terms were notable, and the ET partition revealed a trend for under-estimation of T c act by AquaCrop, mainly under severe water stress. Yield predictions with SIMDualKc-Stewart models produced NRMSE < 15% while predictions with AquaCrop resulted in NRMSE ≤ 23% due to under-estimation of T c act , particularly for water stressed treatments. Results show the appropriateness of SIMDualKc to support irrigation scheduling and assessing impacts on yield when combined with Stewart's model.

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Section: Water Balance and Water Use Componentsmentioning

confidence: 99%

Section: Modellingmentioning

confidence: 99%

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Giménez

Paredes

Pereira

2017

Water

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“…The SIMDualKc model initially simulated the ET cct through the table values of the crop (K cb and p), the soil (Z e , TEW and REW), and the percolation equation (a p and b p ) suggested by the FAO-56 [12] and other previous studies [34]. The model was further calibrated to minimize the differences between the simulated and observed ET c act .…”

Section: Model Calibration and Validationmentioning

confidence: 99%

“…The model provides two alternative methods i.e., a simplified procedure described in Doorenbos and Pruitt [58] and the parametric equation proposed by Liu et al [1] to evaluate the deep percolation and capillary rise. Considering the available data (soil water parameters, LAI and water table depths) (Figure 3), the parametric equation proposed by Liu et al [34] was chosen to calculate the deep percolation and capillary rise. …”

Section: Simdualkc Modelmentioning

confidence: 99%

Partitioning of Cotton Field Evapotranspiration under Mulched Drip Irrigation Based on a Dual Crop Coefficient Model

Tian

Yang

et al. 2016

Water

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Estimation of field crop evapotranspiration (ET c ) and its partitioning into evaporation and transpiration, are of great importance in hydrological modeling and agricultural water management. In this study, we used a dual crop coefficient model SIMDualKc to estimate the actual crop evapotranspiration (ET c act ) and the basal crop coefficients over a cotton field in Northwestern China. A two-year field experiment was implemented in the cotton field under mulched drip irrigation. The simulated ET c act is consistent with observed ET c act as derived based on the eddy covariance system in the field. Basal crop coefficients of cotton for the initial, mid-season, and end-season are 0.20, 0.90, and 0.50, respectively. The transpiration components of ET c act are 96% (77%) and 94% (74%) in 2012 and 2013 with (without) plastic mulch, respectively. The impact of plastic mulch cover on soil evaporation is significant during drip irrigation ranging from crop development stage to mid-season stage. The extent of the impact depends on the variation of soil moisture, available energy of the soil surface, and the growth of the cotton leaves. Our results show that the SIMDualKc is capable of providing accurate estimation of ET c act for cotton field under mulched drip irrigation, and could be used as a valuable tool to establish irrigation schedule for cotton fields in arid regions as Northwestern China.

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“…generate the optimal irrigation scheduling strategies for winter wheat and summer maize in specific location of the NCP (Liu et al, 2006;Wang and Huang, 2008;Chen et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of optimal irrigation scheduling and groundwater recharge at representative sites in the North China Plain with SWAP model and field experiments

Feng

Song

2015

Computers and Electronics in Agriculture

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a b s t r a c tThe application of water saving irrigation is essential to alleviate the rapid depletion of groundwater resources in water crisis areas such as the North China Plain (NCP). The integrated effects of climate, soil and groundwater conditions on water balance and crop response need to be further studied. It is imperative to investigate spatial differences of irrigation scheduling and groundwater recharge within the NCP for regional water management. In this study, three representative sites including Luancheng (LC), Tongzhou (TZ) and Yucheng (YC) with different precipitation, soil and water table conditions were selected. The SWAP model was established at each site to compare optimal irrigation scheduling and groundwater recharge of the winter wheat-summer maize double cropping system under different hydrological years. Largest optimal irrigation amount and additional irrigation at the winter-dormancy stage of wheat were required for the TZ site in each hydrological year. The optimal irrigation scheduling was almost same at the three sites for summer maize, except that no irrigation was needed at filling stage in dry year at the YC site. The average annual groundwater recharge under optimal irrigation was in the order of YC (108.4 mm), TZ (63.8 mm) and LC (0.4 mm). Furthermore, the groundwater recharge occurred throughout the double cropping seasons in YC, but it occurred only in summer maize season at the LC and TZ sites. The net irrigation amount of the optimal irrigation scheduling was reduced by 51.2%, 24.9% and 77.2% compared to reference practice at the LC, TZ and YC sites, respectively. The amount of groundwater recharge depended on the local precipitation and irrigation, while water table depth and soil texture mainly influenced the delay time of groundwater recharge relative to the water input events.

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Fluxes through the bottom boundary of the root zone in silty soils: Parametric approaches to estimate groundwater contribution and percolation

Cited by 115 publications

References 13 publications

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Partitioning of Cotton Field Evapotranspiration under Mulched Drip Irrigation Based on a Dual Crop Coefficient Model

Evaluation of optimal irrigation scheduling and groundwater recharge at representative sites in the North China Plain with SWAP model and field experiments

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