Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran

Andarzian, B.; Aval, Mohammad Bannayan; Steduto, Pasquale; Mazraeh, H Mohammadi; Barati, Maryam; Barati, Mohammad; Rahnama, A`bd Ol-Amir

doi:10.1016/j.agwat.2011.08.023

Cited by 202 publications

(119 citation statements)

References 34 publications

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“…Se ha determinado la raíz del error cuadrático medio normalizado (NRMSE, Ecuación 5), calculado de acuerdo con Andarizan et al (2011) y Sepaskhah et al (2013, y el porcentaje del error absoluto medio (MAPE, Ecuación 6), calculado siguiendo a Goh y Law (2002) y Oliva (2003). El conjunto de los estadísticos de Theil (Theil 1966;Oliva 2003) se ha mostrado particularmente apropiado para modelos dinámicos e incluyen, además del RMSE y MAPE, una medida de la distribución del error.…”

Section: Verificación Del Mdrbfunclassified

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Dynamic simulation of socio-ecological Systems: sustainability in Biosphere Reserves

Banos-González

Martínez-Fernández²,

Selma³

2013

ECOS

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Section: Verificación Del Mdrbfunclassified

“…En cuanto al cálculo del NRMSE, 13 variables presentan un excelente grado de ajuste de acuerdo con Andarizan et al (2011) y Sepaskhan et al (2013, 5 variables consiguen un grado de ajuste bueno, y aceptable para 2 de ellas: la inmigración y el suelo ocupado por los campos de golf.…”

Section: Verificación Del Mdrbfunclassified

Dynamic simulation of socio-ecological Systems: sustainability in Biosphere Reserves

Banos-González

Martínez-Fernández²,

Selma³

2013

ECOS

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“…The model performance on simulating crop growth and water use has been well tested for a variety of crop types under diverse environmental conditions (e.g. Kumar et al, 2014;Jin et al, 2014;Abedinpour et al, 2012;Mkhabela and Bullock, 2012;Andarzian et al, 2011;Stricevic et al, 2011;Heng et al, 2009;Farahani et al, 2009;García-vila et al, 2009). AquaCrop has been applied in WF accounting at field (Chukalla et al, 2015), river basin (Zhuo et al, 2016a), and national level (Zhuo et al, 2016b) at high spatial resolution.…”

Section: Estimating Consumptive Wf Of Growing a Cropmentioning

confidence: 99%

Benchmark levels for the consumptive water footprint of crop production for different environmental conditions: a case study for winter wheat in China

Zhuo

Mekonnen

Hoekstra

2016

Hydrol. Earth Syst. Sci.

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Abstract. Meeting growing food demands while simultaneously shrinking the water footprint (WF) of agricultural production is one of the greatest societal challenges. Benchmarks for the WF of crop production can serve as a reference and be helpful in setting WF reduction targets. The consumptive WF of crops, the consumption of rainwater stored in the soil (green WF), and the consumption of irrigation water (blue WF) over the crop growing period varies spatially and temporally depending on environmental factors like climate and soil. The study explores which environmental factors should be distinguished when determining benchmark levels for the consumptive WF of crops. Hereto we determine benchmark levels for the consumptive WF of winter wheat production in China for all separate years in the period 1961-2008, for rain-fed vs. irrigated croplands, for wet vs. dry years, for warm vs. cold years, for four different soil classes, and for two different climate zones. We simulate consumptive WFs of winter wheat production with the crop water productivity model AquaCrop at a 5 by 5 arcmin resolution, accounting for water stress only. The results show that (i) benchmark levels determined for individual years for the country as a whole remain within a range of ±20 % around long-term mean levels over 1961-2008, (ii) the WF benchmarks for irrigated winter wheat are 8-10 % larger than those for rain-fed winter wheat, (iii) WF benchmarks for wet years are 1-3 % smaller than for dry years, (iv) WF benchmarks for warm years are 7-8 % smaller than for cold years, (v) WF benchmarks differ by about 10-12 % across different soil texture classes, and (vi) WF benchmarks for the humid zone are 26-31 % smaller than for the arid zone, which has relatively higher reference evapotranspiration in general and lower yields in rain-fed fields. We conclude that when determining benchmark levels for the consumptive WF of a crop, it is useful to primarily distinguish between different climate zones. If actual consumptive WFs of winter wheat throughout China were reduced to the benchmark levels set by the best 25 % of Chinese winter wheat production (1224 m 3 t −1 for arid areas and 841 m 3 t −1 for humid areas), the water saving in an average year would be 53 % of the current water consumption at winter wheat fields in China. The majority of the yield increase and associated improvement in water productivity can be achieved in southern China.

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“…AquaCrop is developed from revision of 'FAO Irrigation and Drainage Paper No. 33 Yield Response to Water' (Doorenbos and Kassam, 1979).The capacity of AquaCrop model in simulating the yield in response to water is proved by various researchers (Araya et al 2010a, Heng et al, 2009Stricevic et al, 2011;Abedinpour et al, 2012, Andarzian et al, 2011.The use of these models can assist in evaluating and reducing time intensive and expensive field tests (Whisler et al, 1986). Model results with regards to crop performance, management and yield estimates will help decision makers to decide which management system is suited best for a particular field, by estimating the yield and crop water productivity optimum.…”

Section: Introductionmentioning

confidence: 99%

Analysis of AquaCrop Model for Potato Crop under Different Irrigation Levels

Tayade¹,

Kothari²,

Bhakar³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran

Cited by 202 publications

References 34 publications

Dynamic simulation of socio-ecological Systems: sustainability in Biosphere Reserves

Dynamic simulation of socio-ecological Systems: sustainability in Biosphere Reserves

Benchmark levels for the consumptive water footprint of crop production for different environmental conditions: a case study for winter wheat in China

Analysis of AquaCrop Model for Potato Crop under Different Irrigation Levels

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