黄河三角洲PM_(2.5)时空分布及其影响因子分析

Analysis of the temporal and spatial distribution of PM_(2.5) and its influencing factors in the Yellow River Delta

为黄河三角洲生态文化区域打造提供参考,并为环境污染防治提供有力基础,以空间数据插值和Pearson相关分析方法,运用黄河三角洲及周围40个监测站点的PM_(2.5)逐日浓度和气象数据,研究PM_(2.5)浓度的区域分布特征及随时间尺度的变化规律,以及气象和PM_(2.5)浓度之间的相关性。结果表明:黄河三角洲区域的PM_(2.5)浓度具有西南地区高于东北地区的特征,总体上从滨州到东营呈减少趋势。2017年黄三角地区PM_(2.5)年均浓度值为63.16μm/m^(3),季节性变化显著,总体呈现出春冬高、夏秋低的变化规律,其中1月为一年中PM_(2.5)浓度污染最严重的月份,日均值冬季的波动剧烈。此外,黄河三角洲地区PM_(2.5)浓度与温度有负相关关系,与湿度有正相关关系,风速对于PM_(2.5)浓度来说具有双重影响。

To provide a reference for building the ecological and cultural area of the Yellow River Delta and a strong foundation for environmental pollution prevention and control,the regional distribution characteristics of PM_(2.5)concentration and its change with time scales and the correlation between meteorology and PM_(2.5)concentration are studied by the spatial data interpolation and Pearson correlation analysis methods,together with the daily concentration of PM_(2.5)and meteorological data from 40 monitoring sites in the Yellow River Delta and surrounding areas.The results show that the concentration of PM_(2.5)around the Yellow River Delta in the southwest region is higher than that in the northeast region,and that the overall trend is decreasing from Binzhou to Dongying.In 2017,the annual average concentration of PM_(2.5)in the Yellow Triangle area is 63.16μm/m 3,with significant seasonal changes.The overall trend indicated that annual average concentration of PM_(2.5)in the Yellow Triangle area is high in spring and winter,and that it is low in summer and autumn.January is the most polluted month of the year for PM_(2.5)concentration,and the daily average fluctuated sharply in winter.In addition,PM_(2.5)concentration in the Yellow River Delta region have a negative correlation with temperature and a positive correlation with humidity,with wind speed having a double influence on PM_(2.5)concentration.