【摘要】 利用海峡西岸10个城市2014-2017年PM_2.5监测数据进行分析,分析探讨PM_2.5时空分布情况,并对可能影响PM_2.5浓度的气象、社会及经济等因素进行相关性分析.结果表明:从时间分布来看,海峡西岸10个城市年均PM_2.5浓度均呈下降趋势,季均浓度总体上表现为冬季>春季>秋季>夏季,月均PM_2.5浓度为6-7月最低,1-3月最高.从空间分布来看,不同地区年均PM_2.5浓度值总体上表现为温-丽-衢>梅-潮-汕-揭>福-厦-泉,空间上呈现北>南>中的分布特征.浙江省不同城市年均PM_2.5浓度表现为衢州市>温州市>丽水市;福建省不同城市年均PM_2.5浓度表现为厦门市>福州市≈泉州市;广东省不同城市年均PM_2.5浓度表现为揭阳市>潮州市>梅州市≈汕头市.国内生产总值、人均生产总值、全社会机动车拥有量可能是影响海峡西岸主要城市PM_2.5浓度变化的主要因素.更多还原

【Abstract】 In order to discuss the temporal and spatial distribution of PM_2.5, the PM_2.5 monitoring data of major cities on the Western Coast of the Taiwan Straits from 2014 to 2017 and the meteorological, social and economic factors which may affect PM_2.5 concentration were analyzed. Temporal variations indicated that the average annual PM_2.5 concentration in these major cities decreased gradually during 2014-2017. The seasonal variation of PM_2.5 concentration in these major cities generally decreased in the order of Winter > Spring > Autumn > Summer. Higher values of monthly concentrations of PM_2.5 occurred from January to March, and lower values were generally observed from June to July. Spatial variations suggested that the average annual PM_2.5 concentration in different regions on the Western Coast of the Taiwan Straits decreased following the sequence of Wenzhou-Lishui-Quzhou>Meizhou-Chaozhou-Shantou-Jieyang>Fuzhou-Xiamen-Quanzhou. Spatial distribution characteristics were presented in north > south > middle. The average annual PM_2.5 concentrations in different cities were in the order of Quzhou City > Wenzhou City > Lishui City in Zhejiang Province, and Xiamen City>Fuzhou City≈Quanzhou Ctiy in Fujian Province, and Jieyang City > Chaozhou City>Meizhou City≈Shantou City in Guangdong Province. Gross domestic product（GDP）, per capita GDP and vehicle ownership of the whole society may be the main factors influencing the variations of PM_2.5 in these major cities.更多还原