江苏省PM2.5质量浓度的时空变化格局模拟

摘要

基于遥感数据,利用多元线性回归模型研究地面监测的PM2.5质量浓度数据与AOD、气象数据及地面植被覆盖等数据的关系,空间精细化反演江苏省PM25质量浓度分布.结果表明,AOD、气象数据及地面植被覆盖数据能较好地反演出PM25质量浓度时空分布特征;江苏全省PM25质量浓度呈现出冬高秋低、春夏居中的季节变化规律;春、冬季PM25质量浓度的高值区集中在苏锡常、宁镇扬及泰州、南通等东南沿海的城市,而在靠近西北内陆的盐城、连云港、徐州、淮安、宿迁PM2.5质量浓度较低,夏、秋季呈现出相反的态势.%Based on the remote sensing data,using multiple linear regression model of the ground observation data of PM2.5 concentration and AOD,meteorological data and ground vegetation cover,the PM2.5 concentration distribution in Jiangsu has been inverted.The results showed that AOD,meteorological data and ground vegetation cover could reflect the temporal and spatial distribution characteristics of PM2.5 mass concentration.The mass concentration of PM2.5 in Jiangsu showed obvious temporal and spatial distribution characteristics.In terms of time,the concentration of PM2.5 were higher in winter and lower in spring.In terms of space,high concentration of PM2.5 was concentrated in Suxichang,Ningzhenyang and Taizhou,Nantong,and other southeast coastal cities in spring and winter.PM2.s concentration showed opposite trend in summer and autumn near the northwest inland of Yancheng,Lianyungang,Xuzhou,Huaian,Suqian.