Model-based assessment of water balance components under different cropping systems in north-west India

Jalota, S.K.; Arora, Vijay K.

doi:10.1016/s0378-3774(02)00049-5

Cited by 95 publications

(51 citation statements)

References 15 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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“…The temporal dynamics of the deep-percolation rates estimated by our approach correspond more to natural conditions, compared to some other simple functional SWB models in which soil-water movement is not estimated (Eitzinger et al, 2003;Huang, 2004;Jalota and Arora, 2002). In comparison with similar SWB models (e.g., model SAWAH; Tenberge et al, 1995), our modeling approach needs fewer coefficients in the soil-water flux equations.…”

Section: Strong and Weak Points Of The Current Swb Modelmentioning

confidence: 80%

Estimation of soil water content and evapotranspiration from irrigated cropland on the North China Plain

Jiang

Zhang

Wegehenkel

et al. 2008

Z. Pflanzenernähr. Bodenk.

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For nearly 30 y, cropland on the North China Plain (NCP) has been irrigated primarily by pumping groundwater with no sustainable management strategy. This has caused a continuous decline of the water table. A sustainable groundwater management and irrigation strategy must be established in order to prevent further decline of the water table; to do this, one must quantify soil water content and daily rates of deep percolation and locate evapotranspiration from irrigated cropland. For that purpose, we developed a three-layer soil-water balance (SWB) model based on an approach described by Kendy et al. (2003). In this model, the unsaturated soil zone is divided into three layers: a surface active layer, a middle active soil layer, and a lowest passive soil layer. The middle and the lowest layers dynamically change with the development of crop rooting depth. A simple "tipping bucket" routine and an exponential equation are used to redistribute soil water in the three soil layers. The actual evapotranspiration estimated is partitioned into soil evaporation and crop transpiration using a dual crop coefficient reference approach. At first, the model was calibrated using data obtained from five deficiently irrigated field plots located at an experimental site in the NCP between 1998 and 2003. Then, the model was validated by comparing estimated soil water contents with measured ones at three other plots with nondeficient irrigation. The estimates of actual evapotranspiration were compared with those measured with a large-scale weighing lysimeter (3 m 2 ). The index of agreement (IA) for soil water contents varied between 0.62 and 0.80; the concordance correlation coefficient (CCC) and the root mean square error obtained from the same comparison were 0.34-0.65 and 0.043-0.074 cm 3 cm -3 , respectively. The rates of 10 d mean evapotranspiration estimated by the model show a good fit to those measured by the large-scale lysimeter; this is indicated by IA = 0.94 and CCC = 0.88. Our results indicate that at the irrigated cropland on the plain, deep soil water-percolation rates are usually <200 mm y -1 under nondeficient-irrigation conditions.

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“…Ramakrishna et al (2006) found up to 22 % higher soil water content in a mulched soil profile. A comprehensive modelling study of Jalota and Arora (2002) confirmed that mulching was highly effective to reduce evaporation, which was the dominant water loss component in the simulated dry tropical environment.…”

Section: Mulchingmentioning

confidence: 86%

Management of crop water under drought: a review

Bodner

Nakhforoosh

Kaul

2015

Agron. Sustain. Dev.

431

234

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Drought is a predominant cause of low yields worldwide. There is an urgent need for more water efficient cropping systems facing large water consumption of irrigated agriculture and high unproductive losses via runoff and evaporation. Identification of yield-limiting constraints in the plant-soil-atmosphere continuum are the key to improved management of plant water stress. Crop ecology provides a systematic approach for this purpose integrating soil hydrology and plant physiology into the context of crop production. We review main climate, soil and plant properties and processes that determine yield in different water-limited environments. From this analysis, management measures for cropping systems under specific drought conditions are derived. Major findings from literature analysis are as follows. (1) Unproductive water losses such as evaporation and runoff increase from continental in-season rainfall climates to storage-dependent winter rainfall climates. Highest losses occur under tropical residual moisture regimes with short intense rainy season. (2) Sites with a climatic dry season require adaptation via phenology and water saving to ensure stable yields. Intermittent droughts can be buffered via the root system, which is still largely underutilised for better stress resistance. (3) At short-term better management options such as mulching and date of seeding allow to adjust cropping systems to site constraints. Adapted cultivars can improve the synchronisation between crop water demand and soil supply. At long term, soil hydraulic and plant physiological constraints can be overcome by changing tillage systems and breeding new varieties with higher stress resistance. (4) Interactions between plant and soil, particularly in the rhizosphere, are a way towards better crop water supply. Targeted management of such plant-soil interactions is still at infancy.We conclude that understanding site-specific stress hydrology is imperative to select the most efficient measures to mitigate stress. Major progress in future can be expected from crop ecology focussing on the management of complex plant (root)-soil interactions.

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Model-based assessment of water balance components under different cropping systems in north-west India

Cited by 95 publications

References 15 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 of soil water content and evapotranspiration from irrigated cropland on the North China Plain

Management of crop water under drought: a review

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