摘要
在2015年徐州市7个地面观测站PM_(2.5)质量浓度监测数据的基础上,结合MOD04_3K AOD产品和地面气象数据,构建了基于物理机理修正的近地面PM_(2.5)多元回归反演模型。利用实测和遥感反演数据共同分析了徐州市PM_(2.5)质量浓度时空变化特征。分析结果表明,在徐州中心城区PM_(2.5)质量浓度的日变化特征表现为PM_(2.5)浓度白天降低,夜间升高的趋势。春秋两季的峰值出现在8:00~9:00,夏季峰值出现在6:00~7:00之间,冬季峰值出现在10:00~11:00之间。PM_(2.5)浓度的季节变化特征为冬季>春季>秋季>夏季。PM_(2.5)浓度的空间分布格局为徐州市区及铜山中心区、新沂市以及新沂与邳州边界为PM_(2.5)高浓度的主要区域,与徐州的城镇化格局相似。
On the basis of monitoring PM2.5mass concentration data in Xuzhou city2015,combined with MOD04_3K AOD products and meteorological data,the PM2.5concentration multivariate regression model based on the correction of physical mechanism was established.The measured data and remote sensing retrieval data were used to analyze the spatial and temporal variation characteristics of PM2.5mass concentration in Xuzhou.The results show that,PM2.5concentrations decrease during the day and rise during the night in the center of Xuzhou city.The peak concentrations of PM25appeared at8:00~9:00AM in spring and autumn.The peak concentrations of PM2.5appeared at6:00~7:00AM in summer.The peak concentrations of PM2.5appeared at10:00~11:00AM in winter.Among the seasons in which the variable characteristics of PM2.5concentrations increases,winter tops the overall ranking,and spring,autumn,summer round out the rest.The spatial distribution pattern of PM2.5is similar to Xuzhou urbanization pattern.The center of Xuzhou city and Tongshan district,Xinyi city and the boundary of Xinyi and Pizhou are the main areas with high PM2.5concentrations.
出处
《科学技术与工程》
北大核心
2017年第36期124-129,共6页
Science Technology and Engineering
基金
国家自然科学基金(41661144039
91337102)资助