Wageningen University and Research (WUR), Wageningen, Netherlands.
Now at Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Environ Monit Assess. 2024 Feb 29;196(3):323. doi: 10.1007/s10661-024-12421-8.
This study aims to generate a satellite-based qualitative emission source characterization for the heavily polluted eastern part of China in the 2010-2016 time period. The applied source identification technique relies on satellite-based NO and SO emission estimates by OMI, their SO:NO ratio, and the MIX anthropogenic emission inventory to distinguish emissions from different emission categories (urban, industrial, natural) and characterize the dominant source per 0.25° × 0.25° grid cell in East China. Overall, we find good agreement between the satellite- and emission inventory-based spatiotemporal distribution and characterization of the dominant emission sources in East China in 2010-2016. In 2010, the satellite measurements suggest an emission distribution less dominated by industrial areas, a somewhat larger role for urban/transportation areas and agricultural activities, and more natural emissions in the southern part compared to the bottom-up emission categorization. In 2016, more than half of the classified emission categories over East China have remained the same. At the same time, there is a notable increase of agricultural lands and decrease of areas dominated by industry/transportation in 2016, suggestive of an overall decrease in heavy air pollution in East China over the course of 7 years. This is likely attributed to the sustained efforts of the Chinese government to drastically improve the air quality, especially since 2013 when the National Air Pollution Prevention and Control Action Plan was enacted. However, signs of urban expansion (urbanization) and rural-urban migration ("Go West" motion) stemmed from China's rapid economic growth and labour demand are evident; escalating industrialization (even with cleaner means) and the urban population growth in East China resulted in stronger emissions from sources representing consumption and transportation which are strongly related to NO and PM pollution (rather than SO) and are directly influenced by the population size. This resulted to a shift of the emissions from the east mainly to the north and northwest of East China. Overall, although the effectiveness of the Chinese environmental control policies has been successful, the air pollution problem remains an important concern.
本研究旨在生成一个基于卫星的中国东部重度污染地区 2010-2016 年定性排放源特征。所应用的源识别技术依赖于基于卫星的 OMI 的 NO 和 SO 排放估算、它们的 SO:NO 比以及 MIX 人为排放清单,以区分不同排放类别的排放(城市、工业、自然)并描述中国东部每个 0.25°×0.25°网格单元的主要排放源。总体而言,我们发现卫星和排放清单在 2010-2016 年中国东部时空分布和主要排放源特征方面具有良好的一致性。2010 年,卫星测量结果表明,工业区域对排放的主导程度较低,城市/交通区域和农业活动的作用稍大,南部地区的自然排放也较多,而不是自上而下的排放分类。2016 年,中国东部超过一半的分类排放源保持不变。与此同时,农业用地明显增加,工业/交通主导区域减少,表明中国东部在 7 年内的重度空气污染总体有所减轻。这可能归因于中国政府持续努力大幅改善空气质量,尤其是自 2013 年实施《国家大气污染防治行动计划》以来。然而,中国经济快速增长和劳动力需求导致的城市化和农村向城市迁移的迹象(“西进”运动)明显;工业化程度的提高(即使采用更清洁的方法)以及中国东部城市人口的增长导致了消费和交通相关源的排放增加,这些排放与 NO 和 PM 污染(而非 SO)密切相关,并且直接受到人口规模的影响。这导致排放从东部主要转移到中国东部的北部和西北部。总的来说,尽管中国环境控制政策的有效性已取得成功,但空气污染问题仍然是一个重要的关注点。