研究报告
米佳乐,刘旻霞,王思远,肖仕锐,李乐.基于卫星观测的中三角地区吸收性气溶胶的时空演化解析[J].环境科学学报,2022,42(4):328-340
基于卫星观测的中三角地区吸收性气溶胶的时空演化解析
- Analysis of the temporal and spatial evolution of absorptive aerosols in Triangle of Central China based on satellite observations
- 基金项目：国家自然科学基金（No.31760135）；甘肃省自然科学基金（No. 20JR10RA089）；甘肃省林业和草原科技创新项目（No.KJCX2021005）
- 作者
- 单位
- 米佳乐
- 西北师范大学地理与环境科学学院，兰州730070
- 刘旻霞
- 西北师范大学地理与环境科学学院，兰州730070
- 王思远
- 西北师范大学地理与环境科学学院，兰州730070
- 肖仕锐
- 西北师范大学地理与环境科学学院，兰州730070
- 李乐
- 西北师范大学地理与环境科学学院，兰州730070
- 摘要：基于臭氧检测仪（Ozone Monitoring Instrument，OMI）的遥感数据，利用ArcGIS10.2对2005—2020年中三角地区（湖北省、湖南省、江西省）紫外吸收性气溶胶指数（Ultraviolet Aerosol Index，UVAI）的时空变化进行分析，结合气溶胶颗粒物（PM2.5、PM10）和气态污染物（CO）数据，利用HYSPLIT（Hybrid Single-Particle Lagrangian Integrated Trajectory model）方法研究主要污染城市气溶胶颗粒物的来源与传输路径，通过核密度估计法、相关性分析、聚类分析，研究其影响因素.结果表明：①在空间分布上，中三角地区吸收性气溶胶的高值区集中在襄阳市北部、孝感市 东部、武汉市西部；在时间分布上，2008年UVAI最低，2014年达到最大值；季节分布具有明显变化，2005—2020年吸收性气溶胶指数季均值为冬季＞春季＞秋季＞夏季.②UVAI与人口增长率、第二产业产值占总产值的比重呈正相关性，与节能环保预算支出呈显著负相关（p<0.05）. 不同的土地利用方式也是影响吸收性气溶胶空间分布的原因：UVAI低值分布地区的林地密度较高，而城乡、工矿、居民用地密度高的地区 吸收性气溶胶指数均较高.③结合气流输送情况与PM2.5、PM10、CO数据可知，来自湖北省武汉市与麻城市交界的近距离气流携带的气溶胶 颗粒物（PM2.5、PM10）及远距离气流所携带的碳质污染物（CO），会对中三角地区吸收性气溶胶产生影响.④以襄阳市、武汉市为受点城市，对其进行潜在源贡献因子分析（PSCF）：2020年襄阳市冬季UVAI的潜在源区主要集中在河南省南部与湖北省东北部地区；2020年武汉市冬季UVAI的潜在源贡献因子（WPSCF）高值区主要分布在湖北省东部、江西省西北部、湖南省东北部.
- Abstract：Based on the remote sensing data of Ozone Monitoring Instrument （OMI）， the temporal and spatial changes of ultraviolet aerosol index （UVAI） in the middle triangle from 2005 to 2020 were analyzed by using Arcgis 10.2. Combined with the data of aerosol particles （PM2.5， PM10） and gaseous pollutants （CO）， the source and transmission path of aerosol particles in main polluted cities were studied by using HYSPLIT （Hybrid Single-Particle Lagrangian Integrated Trajectory model）. The influencing factors were studied by kernel density estimation， correlation analysis and cluster analysis. The results showed that： ①in space， the high value areas of absorbent aerosols in the middle triangle were concentrated in the north of Xiangyang， the east of Xiaogan and the west of Wuhan. In terms of time， UVAI was the lowest in 2008 and reached the maximum in 2014； The seasonal distribution had obvious changes. The seasonal average value of absorbable aerosol index from 2005 to 2020 is winter > spring > autumn > summer. ②UVAI had positive correlation with population growth rate and the proportion of output value of secondary industry in total output value， and had significant negative correlation with budget expenditure on energy conservation and environmental protection （p<0.05）. Different land use patterns also affected the spatial distribution of absorbent aerosols. The forest land density in areas with low UVAI value was higher， while the absorbable aerosol index was higher in areas with high density of urban and rural， industrial and mining and residential land. ③Combined with the air transport situation and PM2.5， PM10 and CO data， it could be seen that the aerosol particles （PM2.5， PM10） carried by the short-distance air flow from the junction of Wuhan and Macheng， Hubei Province and the carbon pollutants （CO） carried by the long-distance air flow would have an impact on the absorbent aerosols in the middle triangle. ④Taking Xiangyang and Wuhan as the receiving cities， the potential source contribution factor analysis （PSCF） was carried out： the potential source areas of winter UVAI in Xiangyang in 2020 were mainly concentrated in the south of Henan and the northeast of Hubei； The high value areas of potential source contribution factor （WPSCF） of Wuhan winter UVAI in 2020 were mainly distributed in the east of Hubei， the northwest of Jiangxi and the northeast of Hunan.
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