摘要
为了解钦州地区的蒸发皿蒸发量与降水量、日照时数、气压、风速、温度、湿度等气象因子间的关系,结合相关性分析、主成分分析和多元线性回归分析,得到一个计算钦州地区蒸发皿蒸发量的计算模型。利用模型计算出2020年1月和2月钦州地区的蒸发量分别为56.0 mm和51.8 mm,平均标准误差2.875 mm,平均相对误差6.675%,计算结果与实测基本符合。
To understand the relationship between pan evaporation and precipitation,sunshine hours,air pressure,wind speed,temperature,humidity and other meteorological factors in Qinzhou,a calculation model of pan evaporation in Qinzhou was established by combining correlation analysis,principal component analysis and multiple linear regression analysis.Using the model,the evaporation in Qinzhou in January and February 2020 were calculated to be 56.0 mm and 51.8 mm,with an average standard error of 2.875 mm and an average relative error of 6.675%.The calculation results are relatively consistent with the actual measurements.
作者
吴兹起
谢文彬
王梓豪
WU Ziqi;XIE Wenbin;WANG Zihao(College of Science,Beibu Gulf University,Qinzhou 535011,China)
出处
《北部湾大学学报》
2020年第10期21-27,共7页
Journal of BeiBu Gulf University
基金
国家自然科学基金项目:太阳耀斑活动和磁场演化研究(11078012)。
关键词
蒸发皿蒸发量
气象因子
主成分分析
多元线性回归
pan evaporation
meteorological factor
Principal Component Analysis
multiple linear regression
