重庆市主城区PM2.5时空分布特征 |
摘要点击 3481 全文点击 1291 投稿时间:2015-08-18 修订日期:2015-11-15 |
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中文关键词 重庆市主城区 PM2.5 时间分布 空间分布 气象条件 |
英文关键词 Chongqing urban area PM2.5 temporal distribution spatial distribution meteorological condition |
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中文摘要 |
利用2014年6月1日至2015年5月31日重庆市主城区17个国控空气质量监测站24 h自动连续采样的PM2.5浓度数据,探讨了重庆市主城区PM2.5时空分布特征. 结果表明: ① 重庆市主城区PM2.5季节浓度由高到低依次为冬季(100.2 μg ·m-3)、秋季(66.1 μg ·m-3)、春季(45.9 μg ·m-3)和夏季(33.4 μg ·m-3)(P<0.05). ② 重庆市主城区PM2.5月均浓度变化呈单峰单谷型,1月PM2.5月均浓度最高(P<0.05),达到120.8 μg ·m-3. ③ 逐日变化,国控17个空气质量监测站PM2.5日均浓度曲线都呈现出尖峰和深谷交替变化的锯齿状. ④ 重庆市主城区16个国控监测点(除缙云山对照点)PM2.5浓度日变化在全年、春季、秋季和冬季都呈现明显的双峰双谷型. ⑤PM2.5与SO2、NO2和CO都呈显著正相关(P<0.01),表明SO2、NO2和CO的二次转化对PM2.5浓度具有显著影响. |
英文摘要 |
To explore the diurnal and seasonal characteristics of PM2.5, hourly PM2.5 concentration data of 17 fixed monitoring sites in Chongqing urban area were collected continuously from June 2014 to May 2015. The result showed that: ① the seasonal concentration of PM2.5 in different seasons decreased in the order of winter, autumn, spring and summer (P<0.05), which were 100.2 μg ·m-3, 66.1 μg ·m-3, 45.9 μg ·m-3 and 33.4μg ·m-3, respectively. ② Monthly average concentrations of PM2.5 showed a single-peak curve, and the peaks of which occurred in January (P<0.05, 120.8 μg ·m-3). ③ For the whole year, daily variation of PM2.5 showed a jaggies curve. ④ Diurnal average concentrations of PM2.5 showed an obviously bimodal curve in winter, autumn and spring, but it was less obvious in summer. ⑤ Daily PM2.5 concentration was significantly positively correlated with SO2, NO2 and CO (P<0.01), indicating that the concentrations of SO2, NO2 and CO had a significant impact on the concentration of PM2.5. |
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