用小型蒸发量估算E-601B型蒸发量研究

Estimation of E-601B Evaporation by Small Evaporation

摘要: 为延长单站小型蒸发量历史资料序列的使用价值，依据射阳站4年平行观测资料采用小型蒸发量线性回归方法和选用气温、湿度及日照时数等气候因子多元线性回归方法估算E-601B型蒸发器蒸发量。试验结果表明两者误差与折算系数方法相当：前者年相对误差−1.4%到+2.6%；后者年相对误差−0.9%到+1.6%。气候要素回归方法由于部分月份的多元方程中有个别因子不能通过0.1水平显著性检验，显示其模拟E-601B型蒸发量的可靠性存疑，可能增大年合成误差，计算繁杂，不建议使用该方法换算E-601B型蒸发量数据。

Abstract: In order to prolong the use value of historical data series of small evaporation at single station, the evaporation of E-601B evaporator was estimated by using linear regression method of small evaporation and multiple linear regression method of climatic factors such as temperature, humidity and sunshine hours based on 4-year parallel observation data at Sheyang Station. The experimental results show that the errors of the two methods are equivalent: the annual relative error of the former is −1.4% to +2.6%, and the annual relative error of the latter is −0.9% to +1.6%. Because some factors in the multivariate equation of some months cannot pass the 0.1 level significance test, it shows that the reliability of the simulation of E-601B evaporation is doubtful, which may increase the annual synthetic error and make the calculation complicated. It is not recommended to use this method to convert the E-601B evaporation data.