摘要
在收集1961-2018年福建省22个国家基准气象站气候资料的基础上,运用线性倾向估计、重标极差(R/S)分析、Mann-Kendall突变检验、克里金插值、敏感性分析等方法,对福建省相对湿度的时空变化特征及与其他气象因子的关系进行分析。结果表明:福建省平均相对湿度为79.44%,整体上呈现下降趋势,下降速率0.57%/10 a,4个季节的变化趋势同年际变化趋势相一致,其中春季的下降速率最快,冬季最慢;福建省相对湿度序列具有长期相关的持续性,未来一段时间也将呈现下降趋势,其中春季的持续性最强;年均相对湿度序列在2003年出现显著减小的突变;福建省相对湿度的空间分布格局为西南-东北型,大致呈西南、东北小,中部大的特点。其主要受到平均气温和日照时数的影响,随着平均气温和日照时数的增加而减小。
Based on the collection of climate data from 22 national reference weather stations in Fujian Province from 1961 to 2018,use linear tendency estimation,rescaled range analysis,Mann-Kendall mutation test,Kriging interpolation,sensitivity analysis and other methods to analyze the characteristics of temporal and spatial changes and the relationship with other meteorological factors of relative humidity in Fujian Province.The results show that the average relative humidity in Fujian Province is 79.44%,showing a downward trend as a whole,with a decline rate of 0.57%/10 a.The changing trends of 4 seasons are consistent with the inter-annual changing trend,with the fastest in spring and the slowest in winter.The relative humidity in Fujian Province has long-term correlation and persistence,it will also show a downward trend for some time in the future,with the strongest persistence in spring.The series of annual average relative humidity showed a significant decrease in 2003.The spatial distribution pattern of relative humidity in Fujian Province is southwest-northeast type,roughly showing the characteristics of being small in the southwest and northeast,and large in the middle.It is mainly affected by the average temperature and sunshine hours,and decreases as the average temperature and sunshine hours increase.
作者
赵慧芳
潘祖鉴
孙晓航
林玉蕊
Zhao Huifang;Pan Zujian;Sun Xiaohang;Lin Yurui(College of Computer and Information Sciences,Fujian Agriculture and Forestry University,Fuzhou Fujian 350002,China;Key Laboratory of Fujian Universities for Ecology and Resources Statistics,Fuzhou Fujian 350002,China)
出处
《西南林业大学学报(自然科学)》
北大核心
2023年第6期65-71,共7页
Journal of Southwest Forestry University:Natural Sciences
基金
福建省自然科学基金项目(2017J05001)资助。