Application of pesticide simulation models to the Vredepeel dataset

Vanclooster, Marnik; Boesten, J.J.T.I.

doi:10.1016/s0378-3774(99)00087-6

Cited by 30 publications

(15 citation statements)

References 11 publications

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“…As suggested there, there is a need to redefine the limits of the plant available water used in the calculation, which in turn depends on the field capacity and the wilting point. However, the RMSE obtained here, ranging between 0.011 and 0.149 m 3 m -3 , is in line with similar works (Diekküger et al, 1995;Vanclooster & Boesten, 2000;Jalota & Arora, 2002;Zhang & Wegehenkel, 2006), and with remotely sensed estimations of soil moisture, such as SMOS (Soil Moisture and Ocean Salinity from the European Space Agency) and SMAP (Soil Moisture Active-Passive from NASA), targeted in an RMSE of 0.04 m 3 m -3 . It is necessary to note the higher RMSE values in the case of the three forest-pasture stations at surface layer.…”

Section: Discussionsupporting

confidence: 92%

A simulation of soil water content based on remote sensing in a semi-arid Mediterranean agricultural landscape

Sánchez

Martínez-Fernández

Rodríguez-Ruiz

et al. 2012

Span. j. agric. res.

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This paper shows the application of a water balance based on remote sensing that integrated a Landsat 5 series from 2009 in an area of 1,300 km 2 in the Duero Basin (Spain). The objective was to simulate the daily soil water content (SWC), actual evapotranspiration, deep percolation and irrigation rates. The accuracy of the application is tested in a semi-arid Mediterranean agricultural landscape with crops over natural conditions. The results of the simulated SWC were compared against 19 in situ stations of the Soil Moisture Measurement Stations Network (REMEDHUS), in order to check the feasibility and accuracy of the application. The theoretical basis of the application was the FAO56 calculation assisted by remotely sensed imagery. The basal crop coefficient (K cb ), as well as other parameters of the calculation came from the remote reflectance of the images. This approach was implemented in the computerized tool HIDROMORE+, which integrates various spatial databases In general, an underestimation of the soil water content is noticed, more pronounced into the root zone than at surface layer. The final aim was to convert the application into a hydrological tool available for agricultural water management.Additional key words: crop coefficient; evapotranspiration; Landsat 5; NDVI; water balance. Resumen Simulación del contenido de agua del suelo mediante teledetección en un contexto semiárido mediterráneoEste trabajo muestra la aplicación de un balance de agua basado en teledetección que integra una serie Landsat 5 de 2009, en una zona de 1.300 km 2 de la cuenca del Duero (España). El objetivo fue la simulación diaria de contenido de agua del suelo, evapotranspiración real, percolación profunda y tasas de riego. La precisión fue comprobada en el contexto agrícola mediterráneo, en cultivos bajo condiciones naturales. Los resultados acerca del contenido de agua en el suelo se compararon con 19 estaciones de la Red de Estaciones de Medición de Humedad de Suelo (REMEDHUS). La base teórica de la aplicación es FAO56 combinado con imágenes de satélite. El coeficiente de cultivo basal y otros parámetros del cálculo se obtuvieron mediante la reflectividad de las imágenes. Todo ello se implementó en una herramienta informática, HIDROMORE+, capaz de gestionar las bases de datos espaciales. La comparación del contenido de humedad simulado con el observado a diferentes profundidades y distintos usos de suelo, muestra un buen ajuste global (R 2 = 0,92; RMSE = 0,031 m 3 m -3 ; y bias = -0,027 m 3 m -3 ). Por usos de suelo, el mejor descrito fue el de cereales en régimen de secano (R 2 = 0,86; RMSE = 0,030 m 3 m -3 ; y bias = -0,025 m 3 m -3 ) y la viña (R 2 = 0,86; RMSE = 0,016 m 3 m -3 ; y bias = -0,013 m 3 m -3 ). En general, el contenido de agua en el suelo fue subestimado, lo que es más evidente en la zona de raíces que en la capa superficial. El objetivo final es convertir la aplicación en una herramienta hidrológica para la gestión del agua en agricultura.

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Section: Discussionsupporting

confidence: 92%

A simulation of soil water content based on remote sensing in a semi-arid Mediterranean agricultural landscape

Sánchez

Martínez-Fernández

Rodríguez-Ruiz

et al. 2012

Span. j. agric. res.

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“…PEARL and its predecessors have been tested against experimental data (e.g. Boesten and Gottesbueren, 2000;Tiktak, 2000;Vanclooster and Boesten, 2000;Bouraoui, 2007). The model was also tested and functionality added or improved within the framework of the APECOP project (Vanclooster et al, 2003).…”

Section: Covered Cropmentioning

confidence: 99%

Estimation/calculation of emissions of Plant Protection Products from protected crops greenhouses and cultivations grown under cover) to support the Development of risk assessment methodology under Council Directive 91/414/EEC and EU regulation 1107/2009 (EC)

Beulke

Beinum

Glass

et al. 2011

EFSA Supporting Publications

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“…In these studies, Figure 13. Daily rates mm day 1 of actual evapotranspiration (Etr), transpiration (Trans), soil water storage for the compartment 0-90 cm (SWC-WP) and groundwater recharge (GWR), plot 2 however, only 1 to 3-year periods of observed soil water contents and pressure heads were used (Diekkrüger et al, 1995;Eckersten et al, 1995;Heidmann et al, 2000;Musters and Bouten, 2000;Vanclooster and Boesten, 2000;Jacques et al, 2002). These periods are short in comparison with the 6 year period used in our study.…”

Section: Analysis Of the Differences In The Calculated Time-series Ofmentioning

confidence: 99%

“…Furthermore, TDR systems have been used to validate soil water balance models in a number of field studies (e.g. Eckersten et al, 1995;Heidmann et al, 2000;Musters and Bouten, 2000;Vanclooster and Boesten, 2000;Jacques et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Validation of a soil water balance model using soil water content and pressure head data

Wegehenkel

2004

Hydrological Processes

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Abstract:The validation of soil water balance models and the evaluation of the quality of the model predictions at field-scale require time-series of in situ measured model outputs. In our study, we have validated such a model using a 6-year period with time-series of automatically recorded, daily volumetric soil water contents measured with the time-domain reflectometry with intelligent microelements (TRIME) method and daily pressure heads measured with tensiometers. The comparisons of simulated with measured soil water contents and pressure heads were analysed using the modelling efficiency index (IA) and the square root of the mean square error (RMSE) in order to evaluate the prediction quality of the model. In our study, IA and RMSE, obtained either from the comparison of simulated with measured soil water contents or the comparison of calculated with observed pressure heads, in some cases lead to different results regarding the evaluation of the simulation quality of the soil water balance model. For example, a good fit between simulated and observed soil water contents does not necessarily result in a comparably good fit between the corresponding calculated and measured pressure heads. Therefore, a combined use of both measurement techniques, which takes into account their respective advantages and disadvantages, gives a more complete overview on the simulation quality of the soil water balance model than the single use of one of those techniques.

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Application of pesticide simulation models to the Vredepeel dataset

Cited by 30 publications

References 11 publications

A simulation of soil water content based on remote sensing in a semi-arid Mediterranean agricultural landscape

A simulation of soil water content based on remote sensing in a semi-arid Mediterranean agricultural landscape

Estimation/calculation of emissions of Plant Protection Products from protected crops greenhouses and cultivations grown under cover) to support the Development of risk assessment methodology under Council Directive 91/414/EEC and EU regulation 1107/2009 (EC)

Validation of a soil water balance model using soil water content and pressure head data

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