【摘要】 将兴化水位站FFZ-01Z自动蒸发器自动监测数据与E601水面蒸发器人工观测数据（245组）进行比测分析，论证自动蒸发器的可靠性。为提高自动蒸发监测数据的精度，基于数理统计，对汛期的数据采用一元线性回归分析，非汛期的数据采用偏态分布拟合，通过同频率求得对应的理论值。结果表明：处理后的数据平均绝对误差为0，期望值符合人工观测序列，有良好相关性且可减小离散程度，能够满足自动监测需求，该方法为解决精度问题提供一种可行思路。更多还原

【Abstract】 The automatic monitoring data of FFZ-01Z automatic evaporator at Xinghua Water level Station is compared with the manual observation data of E601 surface evaporator(245 sets)to demonstrate the reliability of the automatic evaporator. To improve the accuracy of automatic evaporation monitoring data, based on mathematical statistics, linear regression analysis is used for flood season data, and skewed distribution fitting is used for nonflood season data. The corresponding theoretical values are obtained through the same frequency. The results show that the average absolute error of the processed data is 0, the expected value conforms to the manual observation sequence, has good correlation and can reduce the degree of dispersion, and can meet the needs of automatic monitoring. This method provides a feasible approach to solve accuracy problems.更多还原