眉山市霾气候数据序列重建及其气候特征分析  

Sequence Reconstruction of Haze Data and Analysis of Climate Characteristics in Meishan city

作　　者：方敏 毛文书[2] 徐卫红 王雪芹 罗张咏 FANG Min;MAO Wen-shu;XU Wei-hong;WANG Xue-qin;LUO Zhang-yong(Meishan Meteorological Bureau,Meishan,Sichuan 620010,China;College of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225,China)

机构地区：[1]眉山市气象局,四川眉山620010 [2]成都信息工程大学大气科学学院,成都610225

出　　处：《四川环境》2022年第2期86-92,共7页Sichuan Environment

基　　金：眉山市气象局科研项目(2020-4)。

摘　　要：为研究眉山地区霾日时空演变特征,基于眉山市6个区县2015~2019年相对湿度、能见度、天气现象以及空气污染物浓度等资料,通过肯德尔相关系数等方法选取最优霾日判别方法重建了眉山地区霾日气候数据序列,最后采用经验正交函数分解分析了眉山霾日的气候特征和变化规律。结果表明:对于眉山地区,方法2(日均90)更适合用于重建霾日气候数据序列。1980~2015年眉山地区年霾日数总体呈现缓慢增长的趋势,年平均霾日空间分布主要表现为在青神县为一个大值区。通过经验正交函数(EOF)分解,眉山地区霾日时空变化第一模态主要表现为,东坡、彭山两区霾日变化一致,其余四县呈相反的变化,结合小波分析表明21世纪初眉山地区霾日具有较明显的2~4年的变化周期。研究为眉山地区霾天气进一步研究提供了科学依据,也为各地重建霾日气候数据序列提供一些借鉴。In order to study the temporal and spatial evolution characteristics of haze days in Meishan area, based on the data of relative humidity, visibility, weather phenomenon and air pollutant concentration in six districts and counties of Meishan City from 2015 to 2019, the optimal haze day discriminant method was selected by Kendall correlation coefficient to reconstruct the haze day climate data sequence in Meishan area. Finally, the climatic characteristics and variation rules of Meishan haze day were analyzed by empirical orthogonal function decomposition. The results show that method 2( daily average 90) is more suitable for reconstructing haze daily climate data sequence in Meishan area. From 1980 to 2015, the annual haze days in Meishan area showed a slow growth trend, and the spatial distribution of annual average haze days was mainly shown as a large value area in Qingshen County. By the decomposition of empirical orthogonal function( EOF), the first mode of haze day spatiotemporal change in Meishan area is the same as that in Dongpo and Pengshan, and the other four counties show opposite changes. Combined with wavelet analysis, it is shown that the haze day in Meishan area in the early 21st century has a more obvious change cycle of 2-4 years. The study provides scientific basis for the further study of haze weather in Meishan area, and also provides some reference for reconstructing haze day climate data sequence in various regions.

关 键 词：霾日数 数据重建 气候特征 眉山 

分 类 号：P466[天文地球—大气科学及气象学]