کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6303337 | 1618235 | 2016 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
FORETo: New software for reference evapotranspiration forecasting
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موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Real-time irrigation scheduling improves irrigation water management and achieves higher irrigation system performance. This scheduling requires the prediction of daily reference evapotranspiration (ETo), which has been performed in some areas by using the Hargreaves-Samani (HS) equation or the Penman-Monteith (PM) equation with all of the required parameters obtained from forecasting services. Artificial neural networks (ANNs) and HS, which use forecasted daily maximum and minimum temperatures (TMAX and TMIN) as input data, were used to forecast ETo from 2011 to 2012 using PM as the reference methodology. A tool named FORETo (ETo forecasting) was implemented to transfer the proposed methodology to final users. This methodology and FORETo software were applied in the Hydrogeologic System 08.29 (Spain), where there is a high concentration of crops with high water consumption in semi-arid conditions. Two seasons of weekly field observations were collected to analyse the ability of FORETo to predict maize and onion crop water requirements. The results obtained from the comparison of daily ETo forecasts by FORETo and HS versus PM showed a better performance of the developed model. However, HS had good agreement, with root mean squared errors (RMSEs) lower than 0.98 mm dayâ1and an index of agreement (d) higher than 0.95.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Arid Environments - Volume 124, January 2016, Pages 128-141
Journal: Journal of Arid Environments - Volume 124, January 2016, Pages 128-141
نویسندگان
RocÃo Ballesteros, José Fernado Ortega, Miguel Ángel Moreno,