Water balance and nitrate leaching in an irrigated maize crop in SW Spain

Moreno, F.; Cayuela, José Antonio; Fernández, J. E.; Boy, E. Fernández; Murillo, J.M.; Cabrera, Francisco

doi:10.1016/s0378-3774(96)01256-5

Cited by 84 publications

(30 citation statements)

References 4 publications

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“…However, nitrogen leaching is influenced by other factors such as temporal distribution and intensity of rain events, irrigation and nitrogen management or fertilizer type, which are not evaluated by the regression model [45]. However, the values computed using the regression model are in close agreement with results reported by other authors for different irrigated crops in Spain [46][47][48], with a nitrogen-leaching rate between 8% and 30% of the total nitrogen application for maize, 10%-15% for sugar beet and 35%-59% for potatoes. CWUModel has simulated a nitrogen-leaching rate of 12%-31%, 11%-17% and 30%-50% respectively.…”

Section: Limitation Of the Grey Water Footprint Analysissupporting

confidence: 84%

The Water Footprint of Agriculture in Duero River Basin

2015

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Abstract:The aim of this paper is to evaluate the green, blue and grey water footprint (WF) of crops in the Duero river basin. For this purpose CWUModel was developed. CWUModel is able to estimate the green and blue water consumed by crops and the water needed to assimilate the nitrogen leaching resulting from fertilizer application. The total WF of crops in the Spanish Duero river basin was simulated as 9473 Mm 3 /year (59% green, 20% blue and 21% grey). Cultivation of crops in rain-fed lands is responsible for 5548 Mm 3 /year of the WF (86% green and 14% grey), whereas the irrigated WF accounts for 3924 Mm 3 /year (20% green, 47% blue and 33% grey). Barley is the crop with the highest WF, with almost 37% of the total WF for the crops simulated for the basin, followed by wheat (17%). Although maize makes up 16% of the total WF of the basin, the blue and grey components comprise the 36% of the total blue and grey WF in the basin. The relevance of green water goes beyond the rain-fed production, to the extent that in long-cycle irrigated cereals it accounts for over 40% of the total water consumed. Nonetheless, blue water is a key component in agriculture, both for production and economically. The sustainability assessment shows that the current blue water consumption of crops causes a significant or severe water stress level in 2-5 months of the year. The anticipated expansion of irrigation in the coming years could hamper water management, despite the Duero being a relatively humid basin.

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Section: Limitation Of the Grey Water Footprint Analysissupporting

confidence: 84%

The Water Footprint of Agriculture in Duero River Basin

2015

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“…Los datos para la estimación de parámetros proceden de una amplia variedad de fuentes, incluyendo trabajo de campo, bases de datos estadísticos y literatura científica (Tabla 1). Los parámetros relativos a los aportes de fertilizantes y coeficientes de lixiviado desde las parcelas agrícolas proceden de estudios empíricos del campo del Mar Menor, que han resultado próximos a los encontrados en otros regadíos mediterráneos intensivos (Guimerà et al 1995;Moreno et al 1996). El sector de los humedales ha sido parametrizado con trabajo de campo específico realizado en los humedales litorales del Mar Menor y aplicando modelos de regresión para estimar la retención de nutrientes en función de la longitud de los cauces a lo largo del humedal y en función del caudal.…”

Section: Figura 3 Diagrama Simplificado Del Modelo Dinámico De La Cuunclassified

Modelización del efecto de los cambios de uso del suelo sobre los flujos de nutrientes en cuencas agrícolas costeras: el caso del Mar Menor (Sudeste de España).

Fitz

Guaita

Martínez‐López

2013

ECOS

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Modelización del efecto de los cambios de uso sobre los flujos de nutrientes en cuencas agrícolas costeras: el caso del Mar Menor (Sudeste de España). Se ha elaborado un enfoque integrado de modelización de la dinámica hidrológica de una cuenca agrícola, la cuenca de la laguna costera del Mar Menor (Sudeste de España), para analizar los efectos de los cambios de uso a medio y largo plazo sobre los flujos de nutrientes que alcanzan la laguna y sus humedales periféricos. Se ha elaborado un modelo socioambiental sin dimensión espacial explícita que presta especial atención a los factores socio-económicos y los cambios de uso. Se presentan también los resultados preliminares de la aplicación al Mar Menor del modelo ELM (Ecological Landscape Modeling), un modelo hidroecológico con dimensión espacial explícita, como mejora de la modelización hidrológica de la cuenca. Los resultados del modelo integrado muestran el significativo incremento de la entrada de nutrientes en la laguna del Mar Menor, la existencia de grandes fluctuaciones interanuales y el papel de los humedales en la retención de una parte de tales nutrientes. Se ha aplicado el modelo para analizar los efectos previsibles de distintas medidas de gestión orientadas a reducir la exportación de nutrientes a la laguna del Mar Menor, en particular la reutilización de drenajes agrícolas y la recuperación de humedales. Los resultados de la simulación de tales medidas señalan que la recuperación de humedales es más eficaz que la reutilización de drenajes, consiguiendo una reducción más significativa de los nutrientes que finalmente alcanzan el Mar Menor.Palabras clave: modelo socio-ambiental; regadío; simulación dinámica, ciclos de nutrientes An integrated modelling approach on the nutrient dynamics has been developed for its application in the agricultural watershed of the Mar Menor coastal lagoon (South-eastern Spain), in order to analyse the long-term effects of land-use change on the nutrients inputs into the lagoon and associated wetlands. A lumped dynamic model has been developed which focuses on the socio-economic factors and land-use changes and their effects on the watershed-scale nutrient flows. In addition, a preliminary application of the ELM (Ecological Landscape Model), an eco-hydrological spatial dynamic model, has been carried out as an ongoing improvement of the hydrological modelling module. Simulation results for the 1970-2012 period showed a noticeable increase in nutrient inflows into the Mar Menor lagoon, highlighting the high inter-annual variability and the role of associated wetlands to remove part of the nutrients. The modeling approach was applied to explore the potential effects of several management measures aiming at reducing the export of nutrients from the agricultural fields into the Mar Menor lagoon, particularly studying measures to reuse agricultural leakages and plans for wetlands restoration. Results showed that wetlands restoration achieves a higher reduction in the inflow of nutrients into the lagoon, doubling those achieved...

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“…These data are processed in the water balance. Water balance is obtained by applying a mass conservation equation [7][8][9][10]:…”

Section: Problem Definition and Main Objectivementioning

confidence: 99%

Identifying the most relevant issues to minimize an automated irrigation water supply in vineyards using Data Mining

Dolado

Molina-Martínez

Molina

et al. 2011

WIT Transactions on Ecology and the Environment

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In order to carry out optimal daily irrigation programming for vineyard production, different variables have to be considered. Some of them are related to soil (soil moisture variation), other variables are related to crop (variety, dendrometry, leaf temperature) and finally some climatic variables are considered (reference evapotranspiration ETo and rainfall). This daily irrigation programming is traditionally based on physical-mathematical models (soil water balance, radiation, drainage among others). This is a model-driven methodology. However, in this paper a data-driven methodology is proposed. With this methodology, the daily water consumption of a crop is estimated from daily values acquired through the variables described above. This approach predicts minimal water consumption. In addition, the significant variables in daily water consumption according to crop and phenological phases are determined. The experiment was developed in a vineyard farm located in Villena, Spain. Representative daily data of five vineyard varieties (Cabernet Blanc, Merlot, Petit Verdot, Sauvignon Blanc and Syrah) were collected from 2005 to 2009. These data were subsequently analysed by Data Mining techniques that are oriented to extraction and rule systems classification. This methodology will be used in the development of applied algorithms in software for decision tools in irrigation programming for vineyard production.

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Water balance and nitrate leaching in an irrigated maize crop in SW Spain

Cited by 84 publications

References 4 publications

The Water Footprint of Agriculture in Duero River Basin

The Water Footprint of Agriculture in Duero River Basin

Modelización del efecto de los cambios de uso del suelo sobre los flujos de nutrientes en cuencas agrícolas costeras: el caso del Mar Menor (Sudeste de España).

Identifying the most relevant issues to minimize an automated irrigation water supply in vineyards using Data Mining

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