山东省近5a PM2.5浓度时空分布特征
Spatial and Temporal Distribution Characteristics of PM2.5 in Shandong Province in the Past Five Years
DOI: 10.12677/GSER.2019.82020, PDF,    国家科技经费支持
作者: 张艺馨, 王建平, 张潇晗, 周 元, 孙振东：曲阜师范大学，山东 日照
关键词: 山东省；PM2.5浓度；时空分布；Shandong Province； PM2.5 Concentration； Spatial-Temporal Pattern
摘要: 基于山东省2014~2018年各地级市PM2.5质量浓度数据，利用山东省PM2.5浓度的平均场，逐年平均值、季节平均值、日平均值及逐小时浓度数据，分析了近5年山东省PM2.5浓度的时空分布特征。研究结果表明：空间维度上，PM2.5浓度大致呈现由沿海向内陆逐渐升高的趋势，内陆的泰安和济宁PM2.5浓度较低。时间维度上，自2014年至今PM2.5浓度表现为逐年稳定下降的趋势；季节变化上呈现出冬季最高、春秋次之，夏季最低的特点；内陆地区一天中的PM2.5的浓度变化呈双峰分布，而沿海地区日变化较为平缓且浓度较低。
Abstract: Based on the PM2.5 mass concentration data of each city in Shandong province, this paper not only studied the average field, annual average, seasonal average, daily average and hourly concentration data of PM2.5 in Shandong province, but also studied the spatial and temporal distribution characteristics of concentration of PM2.5 in Shandong province in 2014-2018. The results show that in the spatial dimension, PM2.5 generally shows a trend of increasing from coastal to inland, and due to the influence of topography, economy, humanities and other factors. The distribution of concentration shows the characteristics of low concentration in developed areas as well as in high altitude areas. In the time dimension, since 2014, PM2.5 concentration has shown a steady decline year by year, and in the seasonal variation, it showed a regulation of low in summer and high in winter. The daily variation of PM2.5 concentration in the inland areas is double-peak, while the daily changes in coastal areas are more smooth and lower in concentration.
文章引用：张艺馨, 王建平, 张潇晗, 周元, 孙振东. 山东省近5a PM2.5浓度时空分布特征[J]. 地理科学研究, 2019, 8(2): 187-196. https://doi.org/10.12677/GSER.2019.82020

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