Evaluation of the WAVE Model for Predicting Nitrate Leaching for Two Contrasted Soil and Climate Conditions

Duwig, Céline; Normand, B.; Vauclin, Michel; Vachaud, G.; Green, Steve; Becquer, Thierry

doi:10.2136/vzj2003.7600

Cited by 5 publications

(3 citation statements)

References 32 publications

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“…These values in validation were -9 and +13 kg N•ha -1 which was considered as very acceptable [PAYET et al 2009]. DUWING et al [2003] used this model to evaluate its prediction capabilities. So water and NO 3 concentrations and fluxes were monitored in two sites (New Caledonia and France) with different surface covers (maize or bare soil) in three consecutive years.…”

Section: Resultsmentioning

confidence: 99%

Using Water and Agrochemicals in the Soil, Crop and Vadose Environment (WAVE) Model to Interpret Nitrogen Balance and Soil Water Reserve Under Different Tillage Managements

Zare¹,

Khaledian²,

Mailhol³

2014

Journal of Water and Land Development

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Applying models to interpret soil, water and plant relationships under different conditions enable us to study different management scenarios and then to determine the optimum option. The aim of this study was using Water and Agrochemicals in the soil, crop and Vadose Environment (WAVE) model to predict water content, nitrogen balance and its components over a corn crop season under both conventional tillage (CT) and direct seeding into mulch (DSM). In this study a corn crop was cultivated at the Irstea experimental station in Montpellier, France under both CT and DSM. Model input data were weather data, nitrogen content in both the soil and mulch at the beginning of the season, the amounts and the dates of irrigation and nitrogen application. The results show an appropriate agreement between measured and model simulations (nRMSE < 10%). Using model outputs, nitrogen balance and its components were compared with measured data in both systems. The amount of N leaching in validation period were 10 and 8 kgha–1 in CT and DSM plots, respectively; therefore, these results showed better performance of DSM in comparison with CT. Simulated nitrogen leaching from CT and DSM can help us to assess groundwater pollution risk caused by these two systems.

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Section: Resultsmentioning

confidence: 99%

Using Water and Agrochemicals in the Soil, Crop and Vadose Environment (WAVE) Model to Interpret Nitrogen Balance and Soil Water Reserve Under Different Tillage Managements

Zare¹,

Khaledian²,

Mailhol³

2014

Journal of Water and Land Development

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“…The main hydrodynamical properties of the LCSA soil have been already described in ref. 47 whereas its physicochemical properties are presented in Table 1. To measure the soil zeta potential, a sample of the soil was vigorously shaken in the chosen electrolyte and an aliquot of the supernatant was collected (decanted from the vial) and analysed by zetametry (Zetasizer 3000HS, Malvern Instruments).…”

Section: Soilmentioning

confidence: 99%

Role of macropore flow in the transport of Escherichia coli cells in undisturbed cores of a brown leached soil

Martins

Majdalani

Vitorge

et al. 2013

Environ. Sci.: Processes Impacts

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The objective of this work was to evaluate the transport of Escherichia coli cells in undisturbed cores of a brown leached soil collected at La Côte St André (France). Two undisturbed soil cores subjected to repeated injections of bacterial cells and/or bromide tracer were used to investigate the effect of soil hydrodynamics and ionic strength on cell mobility. Under the tested experimental conditions, E. coli cells were shown to be transported at the water velocity (retardation factor close to 1) and their retention appeared almost insensitive to water flow and ionic strength variations, both factors being known to control bacterial transport in model saturated porous media. In contrast, E. coli breakthrough curves evolved significantly along with the repetition of the cell injections in each soil core, with a progressive acceleration of their transport. The evolution of E. coli cells BTCs was shown to be due to the evolution of the structure of soil hydraulic pathways caused by the repeated water infiltrations and drainage as may occur in the field. This evolution was demonstrated through mercury intrusion porosimetry (MIP) performed on soil aggregates before and after the repeated infiltrations of bacteria. MIP revealed a progressive and important reduction of the soil aggregate porosity, n, that decreased from approximately 0.5 to 0.3, along with a decrease of the soil percolating step from 27 to 2 μm. From this result a clear compaction of soil aggregates was evidenced that concerned preferentially the pores larger than 2 μm equivalent diameter, i.e. those allowing bacterial cell passage. Since no significant reduction of the global soil volume was observed at the core scale, this aggregate compaction was accompanied by macropore formation that became progressively the preferential hydraulic pathway in the soil cores, leading to transiently bi-modal bacterial BTCs. The evolution of the soil pore structure induced a modification of the main hydrodynamic processes, evolving from a matrix-dominant transfer of water and bacteria to a macropore-dominant transfer. This work points out the importance of using undisturbed natural soils to evaluate the mobility of bacteria in the field, since the evolving hydrodynamic properties of soils appeared to dominate most physicochemical factors.

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“…Several mathematical models are available to study the interactions involved in N movement within the soil profile and to study the effects of different land use and management practices on N movement. The most used models are Soil Water Atmosphere Plant (SWAP) [9]-Agricultural NItrogen MOdel (ANIMO) [10], APSIM [11], CERES [12], DAISY [13], GLEAMS [14], LEACHM [15], NLEAP [16], and WAVE [17] models. The linking of SWAP-ANIMO constitutes a complex model designed to quantify the relationships between fertilizer use and soil and irrigation management for a wide range of soil types and hydrological conditions.…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Assessment of Nitrate-N under Rice-Wheat System in Riparian Wetlands of Punjab, North-Western India

2021

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The nitrate (NO3−) leaching assessment from extensive fertilizer nitrogen (N) applications to croplands is crucial to optimize fertilizer-N recommendations that do not threaten the quality of drinking groundwater. SWAP (Soil Water Atmosphere Plant), a water balance model, was linked with ANIMO (Agricultural NItrogen MOdel), a nitrate leaching model and the Geographical Information System (GIS) to assess the spatial and temporal leaching of NO3−-N from fields under rice-wheat cropping system in the riparian wetlands in the Punjab in north-western India. The results revealed that NO3−-N concentration in the groundwater exceeded the 10 mg NO3−-N L−1 limit set by the World Health Organization (WHO) for drinking water only during December–January. The verification of these results using measured values indicated that the SWAP-ANIMO model satisfactorily predicted NO3−-N concentrations in the leachate in the vadose zone. A low value of the mean absolute error (0.5–1.4) and a root mean square error (0.6–1.5) was observed between the measured and the predicted NO3−-N concentration across the soil profile during the validation at five sampling sites. The NO3−-N predictions revealed that in the long-term, the ongoing fertilizer-N management practices in the riparian wetlands will not significantly change the average NO3−-N concentration in the groundwater. The modeling approach was satisfactory for an efficient quantitative assessment of NO3−-N pollution in groundwater while accounting for the spatial and temporal variability.

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Evaluation of the WAVE Model for Predicting Nitrate Leaching for Two Contrasted Soil and Climate Conditions

Cited by 5 publications

References 32 publications

Using Water and Agrochemicals in the Soil, Crop and Vadose Environment (WAVE) Model to Interpret Nitrogen Balance and Soil Water Reserve Under Different Tillage Managements

Using Water and Agrochemicals in the Soil, Crop and Vadose Environment (WAVE) Model to Interpret Nitrogen Balance and Soil Water Reserve Under Different Tillage Managements

Role of macropore flow in the transport of Escherichia coli cells in undisturbed cores of a brown leached soil

Spatial and Temporal Assessment of Nitrate-N under Rice-Wheat System in Riparian Wetlands of Punjab, North-Western India

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