Characteristics of Air Quality Measurements during the 2018 Intensive Observation Period in Gangneung Port

IF 1 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
Kwonho Lee, Mi-Kyung Choi, Seungshik Park, C. Hong
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引用次数: 0

Abstract

Despite the importance of air pollution emissions in port areas, traditional air quality monitoring has mainly been carried out in populated areas or industrial complexes. However, air pollutants emitted in port areas also make an important contribution to local air quality. Therefore, the particle number concentrations and NO 2 concentrations were measured using the optical particle counter (OPC) and the gas detector during the air quality intensive observation period from October 11 to November 1, 2018 at Gangneung Port (37.76°N, 128.954°E). The averaged particle number concentrations increased mainly under land breeze conditions rather than sea breeze wind, and the contribution of pollutants originated from the surrounding area was greater than that from the coastal ocean. The hourly change in NO 2 concentrations showed a relatively high correlation with air temperature and ship operation frequency. Diurnal change of NO 2 concentration also followed the photochemical reaction cycle according to the change of insolation. Overall, the particle number concentrations and NO 2 concentrations measured at Gangneung Port were largely influenced by the local emissions and weather system. Additional research will be able to provide information on air quality changes and impacts in the port area.
江陵港2018年集中观测期空气质量测量特征
尽管港口地区的空气污染排放很重要,但传统的空气质量监测主要是在人口稠密地区或工业园区进行的。然而,港口地区排放的空气污染物也对当地的空气质量做出了重要贡献。为此,在2018年10月11日至11月1日江陵港(37.76°N, 128.954°E)空气质量密集观察期,利用光学粒子计数器(OPC)和气体探测器对该地区的颗粒物数浓度和NO 2浓度进行了测量。平均颗粒数浓度增加主要是在陆风条件下,而不是海风条件下,来自周边地区的污染物的贡献大于来自沿海海洋的污染物。no2浓度的逐时变化与气温和船舶运行频率有较高的相关性。no2浓度的日变化也遵循光照变化的光化学反应周期。总体而言,江陵港颗粒物数浓度和二氧化氮浓度主要受当地排放和天气系统的影响。进一步的研究将能够提供有关港区空气质素变化及其影响的资料。
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来源期刊
Journal of Korean Society for Atmospheric Environment
Journal of Korean Society for Atmospheric Environment METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
2.00
自引率
60.00%
发文量
50
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