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首页> 外文期刊>Hydrology and Earth System Sciences >Simulation of the soil water balance of wheat using daily weather forecast messages to estimate the reference evapotranspiration
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Simulation of the soil water balance of wheat using daily weather forecast messages to estimate the reference evapotranspiration

机译:使用每日天气预报消息估算参考蒸散量来模拟小麦的土壤水分平衡

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Aiming at developing real time water balance modelling for irrigation scheduling, this study assesses the accuracy of using the reference evapotranspiration (ETo) estimated from daily weather forecast messages (ETo,WF) as model input. A previous study applied to eight locations in China (Cai et al., 2007) has shown the feasibility for estimating ETo,WF with the FAO Penman-Monteith equation using daily forecasts of maximum and minimum temperature, cloudiness and wind speed. In this study, the global radiation is estimated from the difference between the forecasted maximum and minimum temperatures, the actual vapour pressure is estimated from the forecasted minimum temperature and the wind speed is obtained from converting the common wind scales into wind speed. The present application refers to a location in the North China Plain, Daxing, for the wheat crop seasons of 2005-2006 and 2006-2007. Results comparing ETo,WF with ETo computed with observed data (ETo,obs) have shown favourable goodness of fitting indicators and a RMSE of 0.77 mm d(-1). ETo was underestimated in the first year and overestimated in the second. The water balance model ISAREG was calibrated with data from four treatments for the first season and validated with data of five treatments in the second season using observed weather data. The calibrated crop parameters were used in the simulations of the same treatments using ETo,WF as model input. Errors in predicting the soil water content are small, 0.010 and 0.012 m(3) m(-3), respectively for the first and second year. Other indicators also confirm the goodness of model predictions. It could be concluded that using ETo computed from daily weather forecast messages provides for accurate model predictions and to use an irrigation scheduling model in real time.
机译:为了开发用于灌溉调度的实时水平衡模型,本研究评估了使用根据每日天气预报消息(ETo,WF)估算的参考蒸散量(ETo)作为模型输入的准确性。先前对中国八个地区进行的研究(Cai等,2007)表明,使用粮农组织的Penman-Monteith方程,通过每日最高和最低温度,阴天和风速的预报来估算ETo,WF的可行性。在这项研究中,根据预测的最高和最低温度之间的差异估算了整体辐射,根据预测的最低温度估算了实际蒸气压,并且通过将常见风标转换为风速获得了风速。本申请涉及2005-2006年和2006-2007年小麦作物季节在华北平原大兴的位置。将ETo,WF与根据观测数据(ETo,obs)计算出的ETo进行比较的结果表明,拟合指标良好,RMSE为0.77 mm d(-1)。第一年ETo被低估了,第二年被高估了。水平衡模型ISAREG用第一季的4种处理方法的数据进行了校准,并使用观测到的天气数据用第二季的5种处理方法的数据进行了验证。校准的作物参数用于以ETo,WF作为模型输入的相同处理的模拟中。第一年和第二年的土壤含水量预测误差分别很小,分别为0.010和0.012 m(3)m(-3)。其他指标也证实了模型预测的优势。可以得出结论,使用从每日天气预报消息中计算出的ETo可提供准确的模型预测并实时使用灌溉调度模型。

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