Sensitivity Analysis for the Prediction Accuracy of the BP-ET_0 Model with Limited Weather Data
Huang Ying · Journal of Irrigation and Drainage · 2009
With the meteorological data from 2002 to 2005 of Liu Yuan Kou Irrigation District,using the reference crop evapotranspiration forecasting model for feed-forward neural networks(BP-ET0),the sensitivity of meteorological factors on reference crop evapotranspiration is studied.The research results are as follow.In six meteorological factors on reference crop evapotranspiration,the relative humidity affects the forecasting result most,the forecasting passing rate is only 64.93 percent without it.The actual wind speed and sunshine hours affect the forecasting result only less than the relative humidity,without them the forecasting passing rates are 73.15 percent and 76.98 percent respectively.The maximum temperature,minimum temperature and average temperature affect the forecasting result least,without any of them the forecasting passing rates are all more than 80 percent.