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叶子葳,王琛泉,文建辉,卢德林,林清钰,陈春强,霍强,龙腾发.2015-2022年桂林PM2.5外来输送特征及潜在源分析[J].广西科学,2025,32(1):192-203. [点击复制]
- YE Ziwei,WANG Chenquan,WEN Jianhui,LU Delin,LIN Qingyu,CHEN Chunqiang,HUO Qiang,LONG Tengfa.Transport Characterization and Potential Source Analysis of PM2.5 in Guilin from 2015 to 2022[J].Guangxi Sciences,2025,32(1):192-203. [点击复制]
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| 2015-2022年桂林PM2.5外来输送特征及潜在源分析 |
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叶子葳1,2, 王琛泉1, 文建辉3, 卢德林4, 林清钰1, 陈春强1, 霍强1, 龙腾发1
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| (1.广西师范大学, 广西生态脆弱区环境过程与修复重点实验室, 广西桂林 541006;2.广西花山景区监测中心, 广西崇左 532200;3.广西壮族自治区桂林生态环境监测中心, 广西桂林 541199;4.广西师范大学后勤保障处, 广西桂林 541004) |
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| 摘要: |
| 为揭示桂林PM2.5时空分布特征与潜在来源，选取桂林2015-2022年PM2.5质量浓度和气象要素监测数据，利用HYSPLIT模型(Hybrid Single Particle Lagrangian Integrated Trajectory Model)模拟桂林气团后向轨迹，结合聚类轨迹分析法和浓度权重轨迹分析法(CWT)，解析不同季节PM2.5潜在源区及其贡献强度。结果表明，桂林PM2.5污染呈现逐年下降趋势;PM2.5输送途径的季节特征明显，是导致桂林PM2.5月际变化“冬高夏低、春秋居中”的一大因素。华中地区和广东、广西地区的污染输送是桂林城区PM2.5的主要外来贡献源，桂林独特的地理位置和地形因素对该地区污染物的输送和扩散起着重要作用。本研究揭示了跨区域污染传输的机制以及局地气象与地形的耦合效应，可为区域联防联控和精准治污提供科学依据。 |
| 关键词: PM2.5 时空分布 后向轨迹聚类 浓度权重轨迹分析法 |
| DOI：10.13656/j.cnki.gxkx.20250521.020 |
| 投稿时间：2024-05-23修订日期：2024-07-09 |
| 基金项目:国家自然科学基金项目(51968007)，广西自然科学基金项目(2018GXNSFAA294147)和珍稀濒危动植物生态与环境保护教育部重点实验室研究基金项目(ERESP2020Z15)资助。 |
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| Transport Characterization and Potential Source Analysis of PM2.5 in Guilin from 2015 to 2022 |
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YE Ziwei1,2, WANG Chenquan1, WEN Jianhui3, LU Delin4, LIN Qingyu1, CHEN Chunqiang1, HUO Qiang1, LONG Tengfa1
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| (1.Guangxi Key Laboratory of Environmental Processes and Remediation in Ecologically Fragile Regions, Guangxi Normal University, Guilin, Guangxi, 541006, China;2.Guangxi Huashan Scenic Area Testing Center, Chongzuo, Guangxi, 532200, China;3.Guilin Ecological Environmental Monitoring Center of Guangxi Zhuang Autonomous Region, Guilin, Guangxi, 541199, China;4.Logistics Support Service, Guangxi Normal University, Guilin, Guangxi, 541004, China) |
| Abstract: |
| The spatiotemporal distribution characteristics and potential sources of PM2.5 in Guilin were analyzed based on the data of PM2.5 mass concentrations and meteorological factors from 2015 to 2022.The Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) Model was employed to simulate backward trajectories of air masses in Guilin.The cluster trajectory analysis and Concentration-Weighted Trajectory method (CWT) were employed to explore the distribution of potential PM2.5 source areas and their contributions in different seasons.The results indicated that the PM2.5 pollution in Guilin showed a decreasing trend year by year,with the seasonal characteristics of PM2.5 transport pathways being a significant factor leading to the monthly variation pattern characterized by high in winter,low in summer,and moderate in spring and autumn.The pollutant transport from central China,Guangdong,and Guangxi was the main external source of PM2.5 in the urban area of Guilin.The unique geographical location and topographical factors of Guilin played a crucial role in the transport and diffusion of pollutants in this region.The mechanism of cross-regional pollution transmission and the coupling effect between local meteorology and topography are revealed,which can provide a scientific basis for regional joint prevention and control and precise pollution control. |
| Key words: PM2.5 temporal and spatial distribution backward trajectory clustering Concentration-Weighted Trajectory (CWT) method |
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