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Variation in PM_(2.5) source over megacities on the ancient Silk Road, northwestern China

机译:中国西北古代丝绸之路特大城市PM_(2.5)来源的变化

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Due to high-speed and extensive economic development, increasing urbanization, and booming industry in China, there is a growing public concern over PM2.5 pollution. The identification of possible sources of PM2.5 is a basis for studying air pollution. In this paper, the contribution of PM2.5 from both combustion and non-combustion sources is calculated using the selected tracers of SO2, CO and NO2. Changes in the characteristics of natural and anthropogenic PM2.5 sources were analyzed by combining the use of satellite imagery and the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The results showed that the PM2.5 in Xi'an and Lanzhou originated from combustion sources, the contribution of non-combustion sources increased from east to west, high values appeared in Zhangye and Jiuquan (over 70%). In Lanzhou, Zhangye and Jiuquan, PM2.5 was mainly from anthropogenic sources during non episode periods, and from natural sources (namely, dust storms) during episode days, and the proportion from natural sources increased from east to west. In addition, in our research, although the sources of PM2.5 in the four cities are different, they all face the problem of excessive PM2.5 concentration, and its pollution control problem is worth studying. (C) 2018 Elsevier Ltd. All rights reserved.
机译:由于中国的高速,广泛的经济发展,日益增长的城市化进程以及蓬勃发展的工业,公众日益关注PM2.5污染。识别PM2.5的可能来源是研究空气污染的基础。在本文中,使用选定的SO2,CO和NO2示踪剂计算了来自燃烧和非燃烧源的PM2.5的贡献。通过结合使用卫星图像和混合单粒子拉格朗日综合轨迹(HYSPLIT)模型,分析了自然和人为PM2.5来源的特征变化。结果表明,西安和兰州的PM2.5来源于燃烧源,非燃烧源的排放由东向西增加,张ye和酒泉的PM2.5值较高(超过70%)。在兰州,张ye和酒泉,PM2.5主要在非发病期来自人为来源,而在发病期来自自然来源(即沙尘暴),并且自然来源的比例从东向西增加。另外,在我们的研究中,尽管四个城市的PM2.5来源不同,但它们都面临PM2.5浓度过高的问题,其污染控制问题值得研究。 (C)2018 Elsevier Ltd.保留所有权利。

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