| 贵州安顺市PM2.5气象输送条件及贡献源空间分布 |
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| 引用本文： | 曹青,谷晓平,张翅鹏,陈贞宏,吴哲红.贵州安顺市PM2.5气象输送条件及贡献源空间分布[J].气象与环境学报,2022,38(2):55-61. |
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| 作者姓名： | 曹青 谷晓平 张翅鹏 陈贞宏 吴哲红 |
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| 作者单位： | 1. 安顺市气象局, 贵州 安顺 5610002. 贵州大学资源与环境工程学院, 贵州 贵阳 5500253. 贵州省生态气象和卫星遥感中心, 贵州 贵阳 550002 |
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| 基金项目： | “贵州省高层次创新人才培养”计划(黔科合人才（2016）4026号);安顺市科技局社会发展计划项目“安顺市重污染天气预报预警研究”(安市科社（2020）01号);贵州省气象局科研项目“安顺市空气质量变化特征与PM2.5外来输送路径及潜在贡献源区研究”(黔气科登〔2020〕08-16号) |
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| 摘 要： | 利用贵州省安顺市2015—2019年大气污染物资料和气象资料，分析安顺市空气质量特征和主要大气污染物特征，通过TrajStat软件中HYSPLIT模型的后向轨迹模式，结合GDAS气象数据、PM2.5浓度，分析不同季节输送途径及其污染轨迹，采用潜在源贡献作用和浓度权重轨迹分析方法，分析研究期内所有PM2.5污染日（PM2.5日浓度高于75 μg·m-3）输送轨迹垂直与水平方向分布特征。结果表明: PM2.5是安顺城区主要大气污染物，冬季输送污染轨迹占比较大，输送方向主要为贵州东北方向、偏南方向; 污染日PM2.5输送路径以贵州东北方向近距离输送为主，该类轨迹基本分布在880—980 hPa高度; 潜在源高值区主要集中在贵阳整个地区、毕节织金县、黔西市、金沙县等，高贡献值区主要集中在安顺紫云县、镇宁县、毕节织金县、大方县等。
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| 关 键 词： | 后向轨迹 聚类分析 输送路径 潜在源区贡献 |
| 收稿时间： | 2020-12-17 |
Meteorological transport conditions and spatial variations of contribution source for PM2.5 in Anshun of Guizhou province |
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| Qing CAO,Xiao-ping GU,Chi-peng ZHANG,Zhen-hong CHEN,Zhe-hong WU.Meteorological transport conditions and spatial variations of contribution source for PM2.5 in Anshun of Guizhou province[J].Journal of Meteorology and Environment,2022,38(2):55-61. |
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| Authors: | Qing CAO Xiao-ping GU Chi-peng ZHANG Zhen-hong CHEN Zhe-hong WU |
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| Institution: | 1. Anshun Meteorological Service, Anshun 561000, China2. College of Resources and Environmental Engineering, Guizhou University, Guizhou 550025, China3. Guizhou Ecological Meteorology and Satellite Remote Sensing Center, Guiyang 550002, China |
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| Abstract: | Using air pollutant data and meteorological data from Anshun, Guizhou province, the characteristics of air quality and pollutants from 2015 to 2019 in Anshun were analyzed.Using HYSPLIT backward trajectory model, along with GDAS data and PM2.5 concentration data, seasonal transport pathways and pollution trajectories were analyzed as well.The potential source contribution function (PSCF) and concentration-weighted trajectory (CWT) were applied to evaluate the vertical and horizontal variations of transport pathways in all days with PM2.5 polluted (i.e., concentrations above 75 μg·m-3).The results show that PM2.5 was the major pollutant in the urban area of Anshun and air transport accounted for a large proportion for this in winter, with the major pathways to the northeast and south of Guizhou province.Polluted airmass from the northeast direction led to PM2.5 pollution, during which the tracks were mainly distributed at the height of 880-980 hPa.The areas with high potential source values were mainly concentrated over the whole area of Guiyang, Bijie Zhijin County, Qianxi County, Jinsha County, etc., whereas the areas with high contribution values were mainly concentrated in Ziyun County, Zhenning County, Bijie Zhijin County, Dafang County, etc. |
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| Keywords: | Backward trajectory Clustering analysis Ttransport pathway Potential source contribution |
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