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天水市大气颗粒物输送通道及污染源区研究

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王芳龙, 李忠勤, 杨宏, 王飞腾, 尤晓妮, 张明军, 张昕, 周茜. 天水市大气颗粒物输送通道及污染源区研究[J]. 环境化学, 2020, (9): 2371-2383. doi: 10.7524/j.issn.0254-6108.2019061705
引用本文: 王芳龙, 李忠勤, 杨宏, 王飞腾, 尤晓妮, 张明军, 张昕, 周茜. 天水市大气颗粒物输送通道及污染源区研究[J]. 环境化学, 2020, (9): 2371-2383. doi: 10.7524/j.issn.0254-6108.2019061705
shu
WANG Fanglong, LI Zhongqin, YANG Hong, WANG Feiteng, YOU Xiaoni, ZHANG Mingjun, ZHANG Xin, ZHOU Xi. Study on atmospheric particulate matter transport channel and pollution source area in Tianshui City[J]. Environmental Chemistry, 2020, (9): 2371-2383. doi: 10.7524/j.issn.0254-6108.2019061705
Citation: WANG Fanglong, LI Zhongqin, YANG Hong, WANG Feiteng, YOU Xiaoni, ZHANG Mingjun, ZHANG Xin, ZHOU Xi. Study on atmospheric particulate matter transport channel and pollution source area in Tianshui City[J]. Environmental Chemistry, 2020, (9): 2371-2383. doi: 10.7524/j.issn.0254-6108.2019061705
shu

天水市大气颗粒物输送通道及污染源区研究

  • 1. 中国科学院西北生态环境资源研究院, 冰冻圈科学国家重点实验室/天山冰川站, 兰州, 730000;

  • 2. 兰州大学大气科学学院, 兰州, 730000;

  • 3. 天水师范学院资源与环境工程学院, 天水, 741000;

  • 4. 西北师范大学地理与环境科学学院, 兰州, 730070;

  • 5. 兰州大学资源与环境学院, 兰州, 730000

    • 通讯作者: 杨宏, E-mail: lzueiayh@163.com ; 
  • 基金项目:

    国家自然科学基金（41471058，41761017），中国科学院战略性先导科技专项（A类）（XDA20060201，XDA20020102）和冰冻圈科学国家重点实验室自主课题（SKLCS-ZZ-2019）资助.

Study on atmospheric particulate matter transport channel and pollution source area in Tianshui City

  • 1. State Key Laboratory of Cryospheric Sciences/Tianshan Glaciological Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China;

  • 2. College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China;

  • 3. College of Resources and Environmental Engineering, Tianshui Normal University, Tianshui, 741000, China;

  • 4. College of Geographic and Environmental Science, Northwest Normal University, Lanzhou, 730070, China;

  • 5. College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China

    • Corresponding author: YANG Hong, lzueiayh@163.com ; 
  • Fund Project: Supported by the National Natural Science Foundation of China (41471058,41761017),the Strategic Priority Research Program of Chinese Academy of Sciences (Class A) (XDA20060201, XDA20020102) and the SKLCS Founding (SKLCS-ZZ-2019).

  • 摘要: 基于拉格朗日混合单粒子轨道模型（HYSPLIT）和NCEP全球再分析气象资料，对天水市2015—2018年不同季节的72 h气流后向轨迹进行了聚类分析.结合PM10、PM2.5的小时平均浓度数据，采用潜在源贡献因子分析法（PSCF）和浓度权重轨迹分析法（CWT）方法，研究了天水PM10和PM2.5的区域输送和潜在源区.结果表明，PM2.5的日平均浓度在3—178 μg·m-3之间，PM10的日平均浓度在10—684 μg·m-3之间；PM10和PM2.5质量浓度冬季最高，夏季最低，其浓度日变化分布呈双峰型，各季节峰值出现时间不同；天水市气流来源四季变化明显，不同来源气流对该市颗粒物的浓度具有一定差异，四季都表现为西北气流对应的PM2.5和PM10平均浓度均较高，是影响天水颗粒物质量浓度的最重要输送路径；潜在源区有明显的季节和空间变化，这与污染物排放、季节、气象条件等因素有关.影响天水市冬季大气颗粒物浓度的潜在源区主要分布在天水本地及周边市州、青海北部、四川东北部等区域，春秋冬季节均存在中低污染程度的潜在源区带，其覆盖区域是我国沙尘暴的主要源地和污染相对严重的地区.
    Abstract: Based on Hybrid Single Particle Lagrangian Integrater Trajectory (HYSPLIT) model and NCEP global reanalysis meteorological data, the 72-hour backward trajectories in different seasons were assessed by cluster analysis in Tianshui City during 2015 to 2018. Coupled with hourly average concentration data of PM10, PM2.5, the regional transportation and potential source areas of PM2.5 and PM10 in Tianshui were studied using the potential source contribution function (PSCF) model and concentration-weighted trajectory (CWT) method. The results showed that the daily average concentration of PM2.5 ranged between 3 μg·m-3 and 178 μg·m-3, the daily average concentration of PM10 range between 10 μg·m-3 and 684 μg·m-3. The highest PM2.5 and PM10 concentration was in winter and the lowest concentration was in summer.The diurnal variation of PM2.5 and PM10 concentration tended to bimodal distribution, and the time of peaks appeared different during the four seasons.The airflow varied obviously in the four seasons, and the contributions of airflow from different sources on the particles concentration of Tianshui were significantly different. The air mass from northwest were the main directions influencing particles concentration of Tianshui in the four seasons, The average concentration of PM2.5 and PM10 in the northwest air flow in the four seasons was higher than others, which was the most important transportation path which influenced the mass concentration of the particulate matter in Tianshui. There were obvious seasonal and spatial changes in the potential source area, which were related to pollutant discharge, seasonal factors, meteorological conditions and other factors. The potential source areas of atmospheric particulate matter concentration in winter were mainly distributed in Tianshui local and surrounding cities and prefectures, northern Qinghai province, northeast Sichuan province and so on. In spring, autumn and winter, there were potential source zones of low and medium pollution degree, and its covering area was the main source of sandstorm and the area of relatively serious pollution in China.
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  • 收稿日期:  2019-06-17
王芳龙, 李忠勤, 杨宏, 王飞腾, 尤晓妮, 张明军, 张昕, 周茜. 天水市大气颗粒物输送通道及污染源区研究[J]. 环境化学, 2020, (9): 2371-2383. doi: 10.7524/j.issn.0254-6108.2019061705
引用本文: 王芳龙, 李忠勤, 杨宏, 王飞腾, 尤晓妮, 张明军, 张昕, 周茜. 天水市大气颗粒物输送通道及污染源区研究[J]. 环境化学, 2020, (9): 2371-2383. doi: 10.7524/j.issn.0254-6108.2019061705
shu
WANG Fanglong, LI Zhongqin, YANG Hong, WANG Feiteng, YOU Xiaoni, ZHANG Mingjun, ZHANG Xin, ZHOU Xi. Study on atmospheric particulate matter transport channel and pollution source area in Tianshui City[J]. Environmental Chemistry, 2020, (9): 2371-2383. doi: 10.7524/j.issn.0254-6108.2019061705
Citation: WANG Fanglong, LI Zhongqin, YANG Hong, WANG Feiteng, YOU Xiaoni, ZHANG Mingjun, ZHANG Xin, ZHOU Xi. Study on atmospheric particulate matter transport channel and pollution source area in Tianshui City[J]. Environmental Chemistry, 2020, (9): 2371-2383. doi: 10.7524/j.issn.0254-6108.2019061705
shu

天水市大气颗粒物输送通道及污染源区研究

    通讯作者: 杨宏, E-mail: lzueiayh@163.com ; 
  • 1. 中国科学院西北生态环境资源研究院, 冰冻圈科学国家重点实验室/天山冰川站, 兰州, 730000;
  • 2. 兰州大学大气科学学院, 兰州, 730000;
  • 3. 天水师范学院资源与环境工程学院, 天水, 741000;
  • 4. 西北师范大学地理与环境科学学院, 兰州, 730070;
  • 5. 兰州大学资源与环境学院, 兰州, 730000
  • 收稿日期:  2019-06-17
基金项目:

国家自然科学基金（41471058，41761017），中国科学院战略性先导科技专项（A类）（XDA20060201，XDA20020102）和冰冻圈科学国家重点实验室自主课题（SKLCS-ZZ-2019）资助.

摘要: 基于拉格朗日混合单粒子轨道模型（HYSPLIT）和NCEP全球再分析气象资料，对天水市2015—2018年不同季节的72 h气流后向轨迹进行了聚类分析.结合PM10、PM2.5的小时平均浓度数据，采用潜在源贡献因子分析法（PSCF）和浓度权重轨迹分析法（CWT）方法，研究了天水PM10和PM2.5的区域输送和潜在源区.结果表明，PM2.5的日平均浓度在3—178 μg·m-3之间，PM10的日平均浓度在10—684 μg·m-3之间；PM10和PM2.5质量浓度冬季最高，夏季最低，其浓度日变化分布呈双峰型，各季节峰值出现时间不同；天水市气流来源四季变化明显，不同来源气流对该市颗粒物的浓度具有一定差异，四季都表现为西北气流对应的PM2.5和PM10平均浓度均较高，是影响天水颗粒物质量浓度的最重要输送路径；潜在源区有明显的季节和空间变化，这与污染物排放、季节、气象条件等因素有关.影响天水市冬季大气颗粒物浓度的潜在源区主要分布在天水本地及周边市州、青海北部、四川东北部等区域，春秋冬季节均存在中低污染程度的潜在源区带，其覆盖区域是我国沙尘暴的主要源地和污染相对严重的地区.

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