水稻需水量预报研究

Forecast of Rice Evapotranspiration

本文以水稻需水量变化规律为依据,对水稻不同生长时段的需水量分别提出“线性回归预报”及“三次指数平滑预报”方法。实例分析表明,这两种方法预报水稻需水量效果较好,同时,对于其他作物的需水量预报,也有一定参考价值。

According to the variation law of rice cvapotranspiration, a linear regression method and a three-times smoothing method with exponential weight coefficients are proposed for forecasting the rice evapotranspiration of different growing seasons respectively in this paper. The analysis of three real-world examples shows that the two methods work well. Meanwhile, the proposed methods might be useful for forecasting the evapotranspiration of other crops.