| 克拉玛依市PM2.5质量浓度分布及其影响因素分析 |
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| 引用本文： | 郭凤娟,李春花,窦春苓.克拉玛依市PM2.5质量浓度分布及其影响因素分析[J].气象与环境学报,2020,36(4):52-58. |
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| 作者姓名： | 郭凤娟 李春花 窦春苓 |
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| 作者单位： | 克拉玛依气象局, 新疆 克拉玛依 834000 |
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| 基金项目： | 克拉玛依市气象局局内课题;新疆气象局第三届青年科研骨干基金项目共同资助 |
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| 摘 要： | 利用2015年1月至2017年12月中国环境监测总站全国城市空气质量实时发布平台中公布的克拉玛依5个监测点数据和同时期克拉玛依国家基本气象站的观测数据，分别研究了克拉玛依市4个行政区的PM2.5浓度的时空变化特征以及气象条件对克拉玛依PM2.5浓度变化的影响。结果表明：从月份上看，克拉玛依每年的1月、2月、12月PM2.5浓度最高，3月、11月PM2.5浓度较高，其中，独山子每年2月的PM2.5浓度均最高，2016年2月独山子PM2.5平均浓度最高，达到134 μg·m-3，超过国家一级标准值的2.8倍，属于中度污染，从季节上看，克拉玛依四季PM2.5浓度变化呈现波峰波谷变化趋势，表现为冬季最高，春季次之，夏季、秋季各区变化不一的特点，采暖期的PM2.5浓度高于非采暖期的PM2.5浓度；克拉玛依PM2.5浓度在空间上的总体分布为：独山子区>白碱滩区>克拉玛依区>乌尔禾区；从风向、风速、气温、气压和相对湿度等气象要素与PM2.5浓度的相关性来看，气压、相对湿度与PM2.5浓度呈显著正相关，气温、风速、风向与PM2.5浓度呈负相关，其中气温、风向与PM2.5浓度呈显著负相关。
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| 关 键 词： | PM2.5浓度 时空变化 气象条件 |
| 收稿时间： | 2019-04-18 |
Distribution of PM2.5 mass concentration over Karamay and its influencing factors |
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| Feng-juan GUO,Chun-hua LI,Chun-ling DOU.Distribution of PM2.5 mass concentration over Karamay and its influencing factors[J].Journal of Meteorology and Environment,2020,36(4):52-58. |
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| Authors: | Feng-juan GUO Chun-hua LI Chun-ling DOU |
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| Institution: | Karamay Meteorological Service, Karamay 834000, China |
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| Abstract: | Based on air quality data at five national environmental monitoring points released on the national urban air quality real-time release platform of China environmental monitoring station and meteorological data observed at a national weather station in Karamay from 2015 to 2017, we analyzed the spatiotemporal variation of PM2.5 concentration in four districts of Karamay and the impact of meteorological conditions.The results showed that PM2.5 concentration is the highest in January, February, and December, followed by March and November in Karamay from 2015 to 2017.The highest PM2.5 level is observed at Dushanzi during February each year, with a maximum monthly mean value of 134 μg·m-3 in February 2016, which is 2.8 times higher than the national PM2.5 standard value and reaches a moderate pollution level.In terms of seasonal variation, PM2.5 concentration in Karamay exhibits obvious wave crest and trough.The highest PM2.5 values occur in winter and then in spring in all districts, and have different characteristics in summer and autumn in different districts.PM2.5 concentration during the domestic heating period is higher than that in the non-heating period.On average, PM2.5 concentration is higher in the Dushanzi area, followed by the Baikali beach area, Karamay area, and Wuerhe area in order.PM2.5 concentration has a significantly positive correlation with air pressure and relative humidity and has a negative correlation with wind speed, air temperature, and wind direction.The negative correlations with the air temperature and wind direction are especially significant. |
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| Keywords: | PM2 5 concentration Spatiotemporal variation Meteorological conditions |
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