2017-2020年Suceava和Botoșani城市颗粒物PM10浓度趋势

IF 0.5 Q3 GEOGRAPHY
Liliana DRAGOI (ONIU), I. Breabăn, M. Cazacu
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引用次数: 0

摘要

本研究旨在分析2017 - 2020年江苏和Botoșani城市三个监测点PM10浓度的变化趋势和变化率。结果表明,2019年城市背景站(SV1和BT1) PM10浓度呈下降趋势,工业基地(SV2) PM10浓度呈小幅上升趋势。冬季PM10日浓度最高,SV2、BT1和SV1的峰值分别为133.5、114.9和91.8 μg/m3。SV1和BT1的年平均PM10浓度有所下降,与2017年相比,2020年分别下降6.7%和19.7%。第90.4百分位的阈值为50 μg/m3,超过了2018-2020年SV2期间的限值。Pearson相关分析显示,冬季PM10与NO2 (SV2 R = 0.66)、CO (SV2 R = 0.69, BT1 R = 0.54)呈显著正相关。此外,在暖季(R = 0.41)和冷季(R = 0.66), BT1中PM10与苯呈显著正相关。这些结果为PM10的时空变异性及其与其他空气污染物的关系提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
2017–2020 trends of particulate matter PM10 concentrations in the cities of Suceava and Botoșani
: This study aims to analyze the trends and variability of PM10 concentrations at three monitoring sites in Suceava and Botoșani cities from 2017 to 2020. The results reveal a declining trend in PM10 concentrations at the urban background stations (SV1 and BT1), while the industrial site (SV2) indicated a slight increasing trend until 2019. The cold season recorded the highest daily PM10 concentrations, with peak values of 133.5 μg/m3, 114.9 μg/m3, and 91.8 μg/m3 at SV2, BT1, and SV1, respectively. Annual average PM10 concentrations d ecreased at SV1 and BT1, showing reductions of 6.7% and 19.7% in 2020 compared to 2017, respectively. The 90.4th percentile, with a threshold limit of 50 μg/m3, exceeded the limit during the 2018-2020 period at SV2. Pearson correlation analysis indicates a significant positive correlation between PM10 and NO2 (R = 0.66 in SV2) and CO (R = 0.69 in SV2, R = 0.54 in BT1) during the winter season. Additionally, a positive correlation was observed between PM10 and benzene in BT1, during both the warm season (R = 0.41) and the cold season (R = 0.66). These results provide insights into the spatiotemporal variability of PM10 and its relationship with other air pollutants.
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来源期刊
自引率
28.60%
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8 weeks
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