延吉市PM_(2.5)时空分布特征及其与气象要素的相关性分析
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摘要
利用延吉市城区3个空气质量监测站2015年PM_(2.5)浓度小时数据,探讨了延吉市城区PM_(2.5)时空分布特征,并将PM_(2.5)浓度与气象要素做相关性分析.研究结果表明:①延吉市PM_(2.5)季节浓度由高到低依次为冬季、秋季、春季和夏季.②延吉市PM_(2.5)月均浓度变化均呈单峰单谷型,其中11月、12月、1月浓度值相对较高,2月开始逐月递减至10月份后开始回升.③PM_(2.5)日均浓度曲线呈现出尖峰和深谷交替变化的锯齿状.④延吉市城区3个监测点PM_(2.5)浓度日变化在春季、夏季、秋季和冬季都呈现双峰双谷型.⑤PM_(2.5)浓度与气压、气温日较差、风速、相对湿度等气象要素之间存在显著地相关性.
Based on the PM_(2.5) concentration hour data of three air quality monitoring stations in Yanji City, the spatial and temporal distribution characteristics of PM_(2.5) in Yanji City were discussed, and the correlation between PM_(2.5) concentration and meteorological elements was analyzed, the results showed that: i) PM_(2.5) seasonal concentration of Yanji City from high to low were winter, spring, autumn, summer; ii) The PM_(2.5) monthly average concentration of Yanji City displays single peak and single valley, the highest monthly average concentration appears were November, December and January, Declining from February; iii) For the whole year, daily variation of PM_(2.5) showed a jaggies curve; iv) Diurnal average concentrations of PM_(2.5) showed an obviously bimodal curve in spring, summer, autumn and winter, autumn and spring; v) There was a significant correlation between PM_(2.5) concentration and meteorological elements.
Based on the PM_(2.5) concentration hour data of three air quality monitoring stations in Yanji City, the spatial and temporal distribution characteristics of PM_(2.5) in Yanji City were discussed, and the correlation between PM_(2.5) concentration and meteorological elements was analyzed, the results showed that: i) PM_(2.5) seasonal concentration of Yanji City from high to low were winter, spring, autumn, summer; ii) The PM_(2.5) monthly average concentration of Yanji City displays single peak and single valley, the highest monthly average concentration appears were November, December and January, Declining from February; iii) For the whole year, daily variation of PM_(2.5) showed a jaggies curve; iv) Diurnal average concentrations of PM_(2.5) showed an obviously bimodal curve in spring, summer, autumn and winter, autumn and spring; v) There was a significant correlation between PM_(2.5) concentration and meteorological elements.
引文
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[3] 刘翠玲,常艳君.鲅鱼圈地区污染气象特征分析[J].气象与环境学报,2006,22(1):29-33.
[4] 黄菁莲.石河子市空气质量状况及动态变化分析[J].山西建筑,2007,33(15):358-359.
[5] 刘晓峰.改善兰州大气质量的建议[J].职业与健康,2002,18(6):94-95.
[6] 赵娜,贾秀丽.近10年辽阳市大气环境质量及污染趋势分析[J].气象与环境学报,2007,23(3):50-53.
[7] 王英伟.长春市大气污染防治对策[J].吉林林业科技,2001,30(6):34-36.
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[9] 柳长冀,杨柏生.成都市冬季大气污染气象条件预报方法[J].四川气象,1995,53(3):10-14.
[10] 张睿,蔡旭辉,宋宇.北京地区大气污染物时空分布及累积效应分析[J].北京大学学报(自然科学版),2004,40(6):930-938.
[11] 王占山,李云婷,陈添,等.2013年北京市PM2.5的时空分布[J].地理学报,2015,70(1):110-120.
[12] WANG J H,OGAWA S.Effects of meteorological conditions on PM2.5 concentrations in Nagasaki,Japan[J].International Journal of Environmental Research and Public Health,2015,12(8):9089-9101.