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首页> 外文期刊>Journal of geovisualization and spatial analysis >Spatial–Temporal Distribution Characteristics of PM2.5 in China in 2016
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Spatial–Temporal Distribution Characteristics of PM2.5 in China in 2016

机译：时空分布特征2016年PM2.5在中国

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摘要

Air pollution in China, mainly caused by PM2.5, has become worse in recent years. Large-scale studies on spatial–temporal distribution characteristics of PM2.5 in China have been carried out. Little research was focused on nationwide China, and most previous studies have paid little attention to western China. Based on the observed PM2.5 concentration sample data in 2016 from 1445 air monitoring sites in 367 cities, our research reveals the spatial–temporal variations of PM2.5 concentrations and the possible impacting factors in China using spatial statistical and regression models. The results show that (1) PM2.5 concentrations varied hourly, daily, monthly, and seasonally. The hourly averaged values have two peaks and two valleys every day; the daily and monthly averaged values show U-shaped patterns; and the seasonal averaged values are high in winter but low in summer, with spring and autumn somewhere in between. (2) The Huanyong Line is the E–W dividing boundary between high and low pollution values in China; the Yangtze River and the second ladder dividing line in the east and west of Hu Huanyong Line are the respective S–N dividing boundaries. (3) The concentration of PM2.5 shows a significant clustering pattern in Xinjiang and the North China Plain, as the centers of the dual core of the Bhot spots^. The Bcold spots^ consist of the southeast coastal areas, Tibet, and several other cities with good air quality. The warm temperate zones and subtropical regions are places for hot spots and cold spots, whose rankings and locations are both very sensitive to temperature. (4) China's air quality is good in the first half of the year and becomes worse in the second half. The spatial distribution of PM2.5 concentrations mainly follows a NE–SW direction, and the air quality in North China is significantly worse than that in the south. (5) The regression relation and spatial variability of PM2.5 pattern and its impacting factors are discussed from both global and
机译：空气污染在中国,主要是由于PM2.5,近年来变得更糟。时空分布的研究在中国已经PM2.5的特点执行。中国在全国范围内,大多数以前的研究很少关注中国西部。观察到的PM2.5浓度样本数据2016年从367年的1445年空气监测站点城市,我们的研究揭示了时空PM2.5浓度的变化在中国使用空间可能的影响因素统计和回归模型。显示每小时(1)PM2.5浓度不同,日复一日,月复一月,和季节性。平均的值有两个高峰和两个山谷每一天;显示u型模式;在夏天冬天值很高,但是低,春天和秋天介于两者之间。Huanyong线南划分边界在中国高和低污染值之间;长江,第二阶梯分裂各自的s (n划分界限。PM2.5浓度显示显著集群模式在新疆和朝鲜中国普通的双核心的中心Bhot点^。东南沿海地区,西藏,和其他几个城市空气质量好。地区和亚热带地区是热的地方点和冷点,其排名和位置都对温度非常敏感。(4)上半年中国的空气质量很好今年下半年和变得更糟。PM2.5浓度的空间分布主要是遵循NE-SW方向,和空气质量在中国北方明显恶化比在南方。关系和空间变异性的PM2.5的模式从两个及其影响因素进行了讨论全球和

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