State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
Environ Pollut. 2017 Feb;221:94-104. doi: 10.1016/j.envpol.2016.11.043. Epub 2016 Nov 23.
PM retrieval from space is still challenging due to the elusive relationship between PM and aerosol optical depth (AOD), which is further complicated by meteorological factors. In this work, we investigated the diurnal cycle of PM in China, using ground-based PM measurements obtained at 226 sites of China Atmosphere Watch Network during the period of January 2013 to December 2015. Results showed that nearly half of the sites witnessed a PM maximum in the morning, in contrast to the least frequent occurrence (5%) in the afternoon when strong solar radiation received at the surface results in rapid vertical diffusion of aerosols and thus lower mass concentration. PM tends to peak equally in the morning and evening in North China Plain (NCP) with an amplitude of nearly twice or three times that in the Pearl River Delta (PRD), whereas the morning PM peak dominates in Yangtze River Delta (YRD) with a magnitude lying between those of NCP and PRD. The gridded correlation maps reveal varying correlations around each PM site, depending on the locations and seasons. Concerning the impact of aerosol diurnal variation on the correlation, the averaging schemes of PM using 3-h, 5-h, and 24-h time windows tend to have larger R biases, compared with the scheme of 1-h time window, indicating diurnal variation of aerosols plays a significant role in the establishment of explicit correlation between PM and AOD. In addition, high cloud fraction and relative humidity tend to weaken the correlation, regardless of geographical location. Therefore, the impact of meteorology could be one of the most plausible alternatives in explaining the varying R values observed, due to its non-negligible effect on MODIS AOD retrievals. Our findings have implications for PM remote sensing, as long as the aerosol diurnal cycle, along with meteorology, are explicitly considered in the future.
由于 PM 与气溶胶光学深度 (AOD) 之间难以捉摸的关系,以及气象因素的进一步复杂化,从太空中检索 PM 仍然具有挑战性。在这项工作中,我们利用中国大气监测网络 226 个站点在 2013 年 1 月至 2015 年 12 月期间的地面 PM 测量数据,研究了中国 PM 的日变化周期。结果表明,近一半的站点在早上出现 PM 最大值,而下午则最不常见(5%),因为此时表面接收到的强烈太阳辐射导致气溶胶快速垂直扩散,从而降低了质量浓度。在华北平原(NCP),PM 峰值出现在早上和晚上的幅度几乎是珠江三角洲(PRD)的两倍或三倍,而在长江三角洲(YRD),PM 峰值出现在早上,幅度介于 NCP 和 PRD 之间。网格化相关图显示,每个 PM 站点周围的相关性因位置和季节而异。关于气溶胶日变化对相关性的影响,使用 3 小时、5 小时和 24 小时时间窗口平均 PM 的方案与 1 小时时间窗口的方案相比,R 偏差较大,这表明气溶胶的日变化在 PM 与 AOD 之间建立明确相关性方面发挥了重要作用。此外,无论地理位置如何,高云分数和相对湿度往往会削弱相关性。因此,由于气象因素对 MODIS AOD 反演有不可忽视的影响,它可能是解释观测到的不同 R 值的最合理替代因素之一。我们的研究结果对 PM 遥感具有重要意义,因为只要在未来的研究中明确考虑气溶胶的日变化周期和气象因素。