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Forecasting daily net irrigation requirement maps of India using an ArcGIS toolbar A

机译:使用ArcGIS工具栏A预测印度的每日净灌溉需求图

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Considering the vital importance of reference evapotranspiration (ETo) and net irrigation requirement (NIR) forecasts, a toolbar named Arc DSSET was developed to extend the capabilities of ESRI ArcGIS. The toolbar is capable of reading the five day forecasted meteorological data from India Meteorological Department (IMD) website for 75 stations all over India. An existing DSSET model was linked to the toolbar for estimation of ETo and thereby calculation of NIR for each station depending on the agro-ecological region (AER) in which it is situated. The toolbar was used to read data from IMD website from 4th November 2008 to 28th February 2009. These data were then used to estimate point ETo and NIR values and to prepare five days' forecasted maps of ETo and NIR by kriging. Four stations, namely, Ambala, Gadag, Jalpaiguri, and Pune, were selected to test the accuracy of forecasts. Most of the stations showed similar accuracy trends with higher accuracy for shorter lead time. It was also observed that the forecasts were slightly under predicted, but can be used up to five days as the error in forecasts were within acceptable range. Forecasted ETo, NIR, and rainfall were compared with the current day estimates and measurements in terms of Mean Absolute Error (MAE) for all five lead times for all the stations. Average MAE over AERs showed that error in ETo forecasts were also within acceptable range. Forecast accuracy of rainfall and NIR were found satisfactory except for mountaneous and coastal AERs 8, 15, 17, and 19 where frequent occurance of high variability rainfall was noticed.
机译:考虑到参考蒸散量(ETo)和净灌溉需求(NIR)预测的至关重要性,开发了名为Arc DSSET的工具栏以扩展ESRI ArcGIS的功能。该工具栏能够从印度气象局(IMD)网站读取全印度75个站点的五天天气预报数据。现有的DSSET模型已链接到工具栏,用于估算ETo,从而根据其所处的农业生态区(AER)计算每个站点的NIR。该工具栏用于从2008年11月4日至2009年2月28日从IMD网站读取数据。这些数据随后被用于估计点ETo和NIR值,并通过克里金法绘制5天的ETo和NIR预测地图。选择了四个站,即安巴拉,加达格,贾尔派古里和浦那,以测试预报的准确性。大多数站显示出相似的趋势,精度更高,交货时间更短。还观察到预报略低于预期,但由于预报误差在可接受范围内,因此可以使用长达五天。将所有站的所有五个提前期的平均绝对误差(MAE)与预测的ETo,NIR和降雨量与当前天的估计值和测量值进行比较。 AER的平均MAE表明ETo预测的误差也在可接受的范围内。除山区和沿海AER 8、15、17和19经常出现高变化性降雨外,降雨和NIR的预报准确性令人满意。

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