Seasonal Characteristics of Long-Range Transport and Potential Associated Sources of Particulate Matter (Pm<sub>10</sub>) Pollution at the Station Elk, Poland, on 2021-2022 Data

Q2 Agricultural and Biological Sciences
S. Abdo, Y. Koroleva
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引用次数: 1

Abstract

The current study aimed to determine the potential sources of distant emissions of PM10 particles that significantly affect PM10 levels at a given site in southeastern Baltic. The EEA Air Quality Monitoring Station in Elk City, northeastern Poland, was selected for this study. This station is located approximately 50 km from the border of the Russian exclave (Kaliningrad Region). In this study, the NOAA HYSPLIT_4 trajectory model, potential source contribution function (PSCF), and concentration-weight trajectory (CWT) were employed to investigate the origin of the measured PM10 mass at a receptor site. PSCF and CWT utilize back-trajectory analysis and Lagrangian particle dispersion simulations to reconstruct the advection pathways of air masses arriving at the site. These reconstructed retroplumes provide detailed information regarding the geographic locations traversed by polluted air masses on their way to the receptor. By integrating trajectory information with concurrent pollutant concentration data, the PSCF and CWT enable the identification of potential source regions and quantification of their impact on the observed atmospheric levels. From January 1, 2021, to December 31, 2022, at 200 m the 72h backward trajectories of air masses entering the receptor point were calculated and categorized by clustering them into 5-4-4-5 clusters. Subsequently, the PM10 levels at the Elk site associated with each air mass cluster were examined during the observation period. The seasonal variation in PM10 was generally characterized by a peak in winter and minimum values in summer. PM10 was lower during warmer periods, particularly during summer, and significantly, higher concentrations were observed during colder periods. Cluster analyses showed that airflow followed a seasonal pattern, with different results obtained in different seasons. According to the PSCF and CWT results, in winter and spring, the receptor site was influenced more by long-range PM10 pollution, particularly from heavily industrialized areas in Central-Eastern Europe. In contrast, in summer and autumn, the receptor site was less influenced by long-range pollution. The findings demonstrate that the seasonal distributions of PM10 source areas obtained using these two methods generally share similar characteristics, suggesting the credibility and accuracy of the analytical results.
颗粒物质远距离输送的季节特征和潜在相关来源(Pm<sub>10</sub>)波兰Elk站2021-2022年数据的污染
目前的研究旨在确定远距离排放的PM10颗粒的潜在来源,这些颗粒会显著影响波罗的海东南部某一特定地点的PM10水平。波兰东北部Elk市的EEA空气质量监测站被选为本研究的对象。该站距离俄罗斯飞地(加里宁格勒州)边界约50公里。本研究采用NOAA HYSPLIT_4轨迹模型、潜在源贡献函数(PSCF)和浓度-重量轨迹(CWT)分析了pm10在一个受体位点的质量来源。PSCF和CWT利用反轨迹分析和拉格朗日粒子弥散模拟来重建气团到达现场的平流路径。这些重建的后羽流提供了污染气团在到达受体的途中所经过的地理位置的详细信息。PSCF和CWT通过将轨迹信息与同步的污染物浓度数据相结合,能够识别潜在的污染源区域,并量化它们对观测到的大气水平的影响。计算了2021年1月1日至2022年12月31日在200 m处进入感受点的气团72h后向轨迹,并将其聚类为5-4-4-5簇。随后,在观测期间检测了Elk站点与每个气团相关的PM10水平。PM10的季节变化总体上表现为冬季峰值,夏季最小。在较暖时期,特别是夏季,PM 10浓度较低,而在较冷时期,PM 10浓度较高。聚类分析表明,气流具有一定的季节性,不同季节得到的结果不同。根据PSCF和CWT的结果,在冬季和春季,受体部位受到远程pm10污染的影响更大,特别是来自中东欧重工业地区的污染。相比之下,在夏季和秋季,受体部位受远距离污染的影响较小。结果表明,两种方法得到的pm10源区季节分布特征基本一致,分析结果具有较高的可信度和准确性。
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来源期刊
Geography, Environment, Sustainability
Geography, Environment, Sustainability Social Sciences-Geography, Planning and Development
CiteScore
2.50
自引率
0.00%
发文量
37
审稿时长
12 weeks
期刊介绍: Journal “GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY” is founded by the Faculty of Geography of Lomonosov Moscow State University, The Russian Geographical Society and by the Institute of Geography of RAS. It is the official journal of Russian Geographical Society, and a fully open access journal. Journal “GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY” publishes original, innovative, interdisciplinary and timely research letter articles and concise reviews on studies of the Earth and its environment scientific field. This goal covers a broad spectrum of scientific research areas (physical-, social-, economic-, cultural geography, environmental sciences and sustainable development) and also considers contemporary and widely used research methods, such as geoinformatics, cartography, remote sensing (including from space), geophysics, geochemistry, etc. “GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY” is the only original English-language journal in the field of geography and environmental sciences published in Russia. It is supposed to be an outlet from the Russian-speaking countries to Europe and an inlet from Europe to the Russian-speaking countries regarding environmental and Earth sciences, geography and sustainability. The main sections of the journal are the theory of geography and ecology, the theory of sustainable development, use of natural resources, natural resources assessment, global and regional changes of environment and climate, social-economical geography, ecological regional planning, sustainable regional development, applied aspects of geography and ecology, geoinformatics and ecological cartography, ecological problems of oil and gas sector, nature conservations, health and environment, and education for sustainable development. Articles are freely available to both subscribers and the wider public with permitted reuse.
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