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. 2024 Jun 5;14(1):12904.
doi: 10.1038/s41598-024-63856-5.

Spatiotemporal changes in fine particulate matter and ozone in the oasis city of Korla, northeastern Tarim Basin of China

Affiliations

Spatiotemporal changes in fine particulate matter and ozone in the oasis city of Korla, northeastern Tarim Basin of China

Tayierjiang Aishan et al. Sci Rep. .

Abstract

Air pollution is a serious environmental health concern for humans and other living organisms. This study analyzes the spatial and temporal characteristics of air pollutant concentrations, changes in the degree of pollution, and the wavelet coherence of the air quality index (AQI) with pollutants in various monitoring stations. The analysis is based on long-term time series data (January 2016 to December 2023) of air pollutants (PM2.5, PM10, and O3) from Korla, an oasis city in the northeastern part of the Tarim Basin, China. The concentrations of PM2.5, PM10, and O3 in Korla showed a cyclical trend from 2016 to 2023; PM10 concentrations exhibited all-season exceedance and PM2.5 exhibited exceedance only in spring. PM2.5 and PM10 showed a seasonal distribution of spring > winter > fall > summer; O3 concentrations showed a seasonal distribution of summer > spring > fall > winter. Strong positive wavelet coherence between PM and Air Quality Index (AQI) data series suggests that the AQI data series can effectively characterize fluctuating trends in PM concentrations. Moreover, PM10 levels IV and VI were maintained at approximately 10%, indicating that sand and dust have a substantial influence on air quality and pose potential threats to the health of urban inhabitants. Based on the results of this study, future efforts must strengthen relative countermeasures for sand prevention and control, select urban greening species with anti-pollution capabilities, rationally expand urban green spaces, and restrict regulations for reducing particulate matter emissions within city areas.

Keywords: Desert Oasis Cities; Korla; Ozone; Particulate matter (PM).

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Map of air quality monitoring stations in the study area. The figure is created using ArcMap 10.5 (ESRI Co., Ltd.; www.esri.com).
Figure 2
Figure 2
Variation trends in air pollutant concentrations in Korla from 2016 to 2021.
Figure 3
Figure 3
Wavelet coherence of AQI with S1 site: PM2.5 (a), PM10 (b) and O3 (c), S2 site: PM2.5 (d), PM10 (e) and O3 (f), and S3 site: PM2.5 (h), PM10 (i) and O3 (g).
Figure 4
Figure 4
Percentages of days for each PM2.5 (a), PM10 (b), and O3 (c) pollution level at three monitoring sites in Korla.

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