摘要
本研究依托2022年天山北坡城市群32个监测站点的大气监测数据,结合克里金插值、空间自相关分析与广义可加模型(GAM),探讨了PM_(2.5)、PM_(10)和O_(3)的时空分布特征及其与气象因子的响应关系。结果显示,PM_(2.5)和PM_(10)冬季浓度最高,呈现东高西低格局,O_(3)则在夏季形成高值区。温度为影响污染物变化的主导因子,并与湿度、风速、气压、降雨量存在显著交互效应。
This study relied on the atmospheric monitoring data from 32 monitoring stations in the urban agglomeration of the northern slope of Tianshan Mountain in 2022,and combined Kriging interpolation,spatial autocorrelation analysis and generalized additive model(GAM)to explore the spatiotemporal distribution characteristics of PM_(2.5),PM_(10) and O_(3) and their response relationships with meteorological factors.The results showed that the concentrations of PM_(2.5) and PM_(10) were the highest in winter,presenting an east-high-west-low pattern,while O_(3) formed high-value areas in summer.Temperature was the dominant factor affecting the changes of pollutants and had significant interaction effects with humidity,wind speed,air pressure and rainfall.
作者
汪泉旭
WANG Quanxu(Shinpo City Meteorological Bureau,Yulin 719300,China)
出处
《黑龙江环境通报》
2025年第11期25-27,共3页
Heilongjiang Environmental Journal
