关于实测蒸散发量负值处理的论文

以下是一篇关于实测蒸散发量负值处理的论文：

标题：基于平滑滤波的蒸散发量负值处理方法研究

摘要：实测蒸散发量是研究生态系统水分平衡和水文循环的主要指标之一。然而，在实际监测过程中，由于仪器误差、自然条件等原因，蒸散发量数据中存在负值，这会对后续分析和应用造成困扰。因此，本文提出了一种基于平滑滤波的蒸散发量负值处理方法，通过对实测数据进行平滑处理，消除了负值的影响，保留了数据的趋势和特征。实验结果表明，该方法可以有效地处理负值数据，提高了数据的可靠性和可用性。

关键词：蒸散发量；负值处理；平滑滤波；数据可靠性

Abstract: The measured evapotranspiration is one of the main indicators for studying the water balance and hydrological cycle of ecosystems. However, in the actual monitoring process, due to instrument errors, natural conditions and other reasons, negative values exist in the evapotranspiration data, which can cause difficulties for subsequent analysis and applications. Therefore, this paper proposes a method for processing negative values of evapotranspiration based on smoothing filtering. By smoothing the measured data, the negative values are eliminated, while the trend and characteristics of the data are preserved. Experimental results show that this method can effectively process negative data, improve the reliability and usability of the data.

Keywords: evapotranspiration; negative value processing; smoothing filter; data reliability