Improvement of the Water Erosion Prediction Project (WEPP) model for quantifying field scale subsurface drainage discharge

Revuelta-Acosta, Josept David; Flanagan, D. C.; Engel, Bernie; King, Kevin W.

doi:10.1016/j.agwat.2020.106597

Cited by 9 publications

(8 citation statements)

References 67 publications

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“…Let us note that we do not consider the geological context or the regional climate to classify soils here. The Lagacherie and Jamagne classification (Jamagne et al, 1977;Lagacherie and Favrot, 1987;Richer-de-Forges et al, 2008) has been used to evaluate this strategy. According to Fig.…”

Section: French Classification Of Drained Soilsmentioning

confidence: 99%

“…The RU module design partially addresses this problem by generating a soil profile recharge before saturation, but this issue remains a major limitation of the model, i.e., the more clayey the soil, the poorer the model performs. A soil is considered to be mainly clayey once the clay fraction exceeds 35 % (Richer- de-Forges et al, 2008), which can be defined as the limit beyond which good model performance is no longer guaranteed.…”

Section: Weaker Performance On Clayey Soilsmentioning

confidence: 99%

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Robustness of a parsimonious subsurface drainage model at the French national scale

Jeantet

Henine

Chaumont

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. Drainage systems are currently implemented on agricultural plots subjected to temporary or permanent waterlogging issues. Drained plots account for 9 % of all arable soils in France. As such, the need for accurate hydrological modeling is crucial, especially in an unstable future context affected by climate change. The aim of this paper is to assess the capacity of the SIDRA-RU hydrological drainage model to represent the variability in pedoclimatic conditions within French metropolitan areas and to demonstrate the utility of this model as a long-term management tool. The model is initially calibrated using the KGE′ criterion as an objective function (OF) on a large and unique database encompassing 22 plots spread across France and classified according to three main soil textures (silty, silty–clay, and clayey). The performance of SIDRA-RU is evaluated by monitoring both the set of KGE′ calibration values and the quality of simulations on each plot with respect to high and low discharges, as well as the annual drained water balance. Next, the temporal robustness of the model is assessed by conducting, on selected plots, the split-sample test capable of satisfying the data requirements. Results show that the SIDRA-RU model accurately simulates drainage discharge, especially on silty soils. The performance on clayey soils is slightly weaker than that on silty soils yet remains acceptable. Similarly, the split-sample test indicates that SIDRA-RU is temporally robust on all three soil textures. Consequently, the SIDRA-RU model closely replicates the diversity of French drained soil and could be used for its long-term management potential.

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Section: French Classification Of Drained Soilsmentioning

confidence: 99%

Section: Weaker Performance On Clayey Soilsmentioning

confidence: 99%

Robustness of a parsimonious subsurface drainage model at the French national scale

Jeantet

Henine

Chaumont

et al. 2021

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…DRAINMOD (Skaggs et al, 2012), CATHY 450 (Muma et al, 2017) and RZQWM (Jiang et al, 2020b). Overall, the simple design of the SIDRA-RU model allows achieving a performance at least as good as that found in current models, like MACRO on the La Jaillière plot (Kuzmanovski et al, 2015) or WEPP (Revuelta-Acosta et al, 2021).…”

mentioning

confidence: 92%

Robustness of a parsimonious subsurface drainage model at the French national scale

Jeantet¹,

Henine²,

Chaumont³

et al. 2021

Preprint

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Abstract. Drainage systems are currently implemented on agricultural plots subjected to temporary or permanent waterlogging issues. Drained plots account for 9 % of all arable soils in France. As such, the need for accurate hydrological modeling is crucial, especially in an unstable future context affected by climate change. The aim of this paper is to assess the capacity of the SIDRA-RU hydrological drainage model in representing the variability of pedoclimatic conditions within French metropolitan areas, as well as to demonstrate the utility of this model as a long-term management tool. The model is initially calibrated using the KGE' criterion as an Objective Function (OF) on a large and unique database encompassing 22 plots spread across France and classified according to three main soil textures (silty, silty-clayey and clayey). The performance of SIDRA-RU is evaluated by monitoring the KGE' calibration values, as well as the quality of the simulations of both high and low discharges and the annual drained water balance on each plot. Next, the temporal robustness of the model is assessed by conducting the split-sample test on the selected plots that satisfy the data requirements. Results show that the SIDRA-RU model accurately simulates the drainage discharge, especially on silty soils. The performance on clayey soils is slightly weaker than that on silty soils yet remains acceptable. Similarly, the split-sample test indicates that SIDRA-RU is temporally robust on all three soil textures. Consequently, the SIDRA-RU model closely represents the diversity of French drained soil and could be used for its long-term management.

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“…Several models have been developed around the world for the assessment of water erosion, ranging from physical model and empirical model. The physical models include the Water Erosion Prediction Project (WEPP) [7,8], The European Soil Erosion Model (EUROSEM) [9,10], the Limburg Soil Erosion Model (LISEM) [11], and the Soil Erosion Model for Mediterranean regions (SEMMED) models [12]. Empirical models include the Universal Soil Loss Equation (USLE) and Revised Universal Soil Loss Equation (RUSLE).…”

Section: Introductionmentioning

confidence: 99%

Examining Soil Erosion Responses to Grassland Conversation Policy in Three-River Headwaters, China

Zhao

Lin

et al. 2021

Sustainability

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Soil erosion in the Three-River Headwaters (TRH) region has continued to intensify in recent decades due to human activities and climate change. To reverse this situation, the Chinese central government has launched the Subsidy and Incentive System for Grassland Conservation (SISGC). As a sign of the effectiveness of SISGC implementation, the dynamic changes of soil erosion can provide timely feedback for decision makers and managers. The Revised Universal Soil Loss Equation (RUSLE) model was used to simulate the spatial distribution of soil erosion before and after SISGC implementation, and Mann–Kendall (MK) test to reveal the effect of policy implementation. The results showed that: (1) the soil erosion in the TRH was mainly mild (83.83% of the total eroded area), and the average soil erosion rate and the total erosion were 13.63 t ha−1 y−1 and 323.58 × 106 t y−1 respectively before SISGC implementation; (2) SISGC implementation has curbed soil erosion. After SISGC implementation, the total soil erosion decreased by 3.80%, which showed obvious differences between grassland types; (3) The influences of SISGC were mainly because it has increased vegetation cover, further decreasing soil erosion. However, soil erosion in Alpine grassland has deteriorated, indicating direct targeted policymaking should be on the agenda. Furthermore, SISGC should be continued and grassland-type-oriented to restore the grassland ecosystem.

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Improvement of the Water Erosion Prediction Project (WEPP) model for quantifying field scale subsurface drainage discharge

Cited by 9 publications

References 67 publications

Robustness of a parsimonious subsurface drainage model at the French national scale

Robustness of a parsimonious subsurface drainage model at the French national scale

Robustness of a parsimonious subsurface drainage model at the French national scale

Examining Soil Erosion Responses to Grassland Conversation Policy in Three-River Headwaters, China

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