Assessing air pollution and seasonal variations in Dong Nai Province, Vietnam: A geospatial analysis of key air quality parameters (2022−2023)

IF 6.9 2区 工程技术 Q1 ENVIRONMENTAL SCIENCES
Xuan Tong Nguyen , Thi Tuyen Le , Kim Hoa Nguyen , Thi Thanh Thao Nguyen , Tang Phuc Khang Luu
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Abstract

Air pollution poses a significant threat to human health, particularly in rapidly urbanizing developing countries like Vietnam. This study assessed air quality in 55 locations across Dong Nai province using periodic intermittent monitoring during the dry and rainy seasons of 2022–2023. Key air quality parameters, including total suspended particulate matter (TSP), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and carbon monoxide (CO), were measured. Geostatistical analysis using the Geographical Information System (GIS) and inverse distance weighting (IDW) was employed to map and predict air pollution levels. Results showed that TSP and NO₂ concentrations exceeded the annual limits of QCVN 05:2023/BTNMT, with higher levels during the dry season and an increasing trend over two years. The highest TSP concentration (202.53 μg/m3) was recorded in solid waste treatment areas in the dry season of 2023, while the lowest (25.21 μg/m3) occurred in background areas in 2022. CO levels were highest in airport areas (6126.15 μg/m3 in 2023) and lowest in solid waste treatment areas during the rainy seasons (100.00 μg/m3). A strong positive correlation (r = 0.90, p < 0.01) between noise and CO was observed, suggesting traffic as a major pollution source, though no significant correlations between other air parameters were found. This demonstrates that human activities, including traffic and daily activities, are the primary cause of the current air pollution in Dong Nai province.
评估越南同奈省的空气污染和季节变化:关键空气质量参数的地理空间分析(2022 - 2023)
空气污染对人类健康构成重大威胁,特别是在越南等快速城市化的发展中国家。本研究利用2022-2023年旱季和雨季的周期性间歇监测,评估了同奈省55个地点的空气质量。主要空气质量参数包括总悬浮颗粒物(TSP)、二氧化硫(SO₂)、二氧化氮(NO₂)和一氧化碳(CO)。利用地理信息系统(GIS)和逆距离加权(IDW)进行地统计分析,绘制和预测空气污染水平。结果表明:TSP和NO 2浓度均超过QCVN 05:2023/BTNMT的年限值,且在旱季较高,2年内呈上升趋势;固体废物处理区TSP浓度最高(202.53 μg/m3)出现在2023年旱季,背景区最低(25.21 μg/m3)出现在2022年。雨季期间,机场区CO含量最高(2023年为6126.15 μg/m3),固废处理区CO含量最低(100.00 μg/m3)。强正相关(r = 0.90, p <;0.01),显示交通是主要污染源,但其他空气参数之间并无显著相关。这表明人类活动,包括交通和日常活动,是目前同奈省空气污染的主要原因。
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来源期刊
Urban Climate
Urban Climate Social Sciences-Urban Studies
CiteScore
9.70
自引率
9.40%
发文量
286
期刊介绍: Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]
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