| 贵阳市PM2.5分布特征及气象条件的影响 |
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| 引用本文： | 尚媛媛,郑小波,夏晓玲,等.贵阳市PM2.5分布特征及气象条件的影响[J].高原山地气象研究,2018,38(3):45-50. |
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| 作者姓名： | 尚媛媛 郑小波 夏晓玲 等 |
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| 作者单位： | 1. 贵州省气象服务中心, 贵阳 550002; |
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| 基金项目： | 国家自然科学基金(91544109) |
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| 摘 要： | 利用2013~2017年贵阳市10个国控空气质量监测站点PM2.5逐时监测数据,分析了贵阳市大气污染物污染水平及其时空分布特征。结果表明:(1)贵阳市PM2.5年均浓度为36.14 ug·m-3,基本处于国家空气质量二级标准范围内,污染程度较轻;(2)贵阳市PM2.5浓度冬季浓度为一年中最高,最高值出现在12月,夏季浓度最低,最小值出现在7月;(3)气象要素对PM2.5浓度的影响是显著的,尤其是在分季节的情况下,气象要素对PM2.5的影响差异较大。PM2.5浓度与太阳辐射、日照时数、气压呈显著正相关,与降水、相对湿度、风速、气温呈显著负相关。太阳辐射夏季对PM2.5影响最大,日照时数春季对PM2.5的影响最大,气温在夏、秋季与PM2.5浓度呈显著负相关。春季降水对PM2.5的相关性更为显著,风速对夏、冬季与PM2.5浓度具有显著负相关性。
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| 关 键 词： | PM2.5 时空分布 气象条件 贵阳市 |
| 收稿时间： | 2018-08-07 |
Characteristics of PM_(2.5) Distribution and Meteorological Conditions in Guiyang |
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| Affiliation: | 1. Guizhou Meteorological Service Center, Guiyang 550002, China;2. Guizhou Institute of Mountainous Environment and Climate, Guiyang 550002, China |
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| Abstract: | Based on the hourly monitoring data of PM2.5 from 10 state-controlled air quality monitoring stations in Guiyang from 2013 to 2017, the air pollution level and its spatial-temporal distribution characteristics in Guiyang were analyzed. The results show that: (1) the average concentration of PM2.5 in Guiyang is 36. 14 ug·m-3 in 5 years, which is basically within the national air quality secondary standard, and the pollution degree is relatively light; (2) the winter concentration of PM2.5 in Guiyang is the highest in a year, the highest concentration occurs in December, the lowest concentration in summer, and the lowest concentration occurs in July; (3) The effect of meteorological factors on PM2.5 concentration was significant, especially in seasonal conditions. PM2.5 concentration was positively correlated with solar radiation, sunshine hours and air pressure, and negatively correlated with precipitation, relative humidity, wind speed and air temperature. Solar radiation had the greatest impact on PM2.5 in summer, sunshine hours had the greatest impact on PM2.5 in spring, and temperature had a significant negative correlation with PM2.5 concentration in summer and autumn. The correlation between spring precipitation and PM2.5 is more significant. Wind speed in summer and winter has a significant negative correlation with PM2.5 concentration. |
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