摘要
Abstract
This study analyzed the 2020 California wildfire to comprehensively analyze the dynamic variations in precipitable water vapor(PWV)and its correlation with the concentration of atmospheric particulate matter(PM)during different wildfire stages by utilizing approximately one-year-long datasets from five global navigation satellite system(GNSS)stations situated in the affected area.Firstly,the study confirmed that the solution accuracy of coordinates in the north,east,and vertical directions was at the millimeter level,and the solution accuracy of GNSS_PWV was about 2 mm.Additionally,the concentration of atmospheric PM remained at a low level prior to the wildfire and exhibited a stable pattern of variation.During the period of the wildfire,PM concentration progressively increased,peaking around day 250,and it subsequently declined.Correspondingly,GNSS_PWV values demonstrated a highly consistent variation pattern with PM concentrations.Finally,statistical analyses reveal that the mean correlation between GNSS_PWV and SUM_PM for the pre-,mid-,and post-wildfire phases are 26.01%,45.03%,and 27.61%,with P-values less than 0.05 for all phases,indicating a significant correlation between GNSS_PWV and PM concentration.关键词
全球卫星导航系统/可降水汽含量/火灾/大气颗粒物(PM)/相关性Key words
global navigation satellite system(GNSS)/precipitable water vapor/wildfire/particulate matter/correlation分类
天文与地球科学
