One-year spatiotemporal variations of air pollutants in a major chemical-industry park in the Yangtze River Delta, China by 30 miniature air quality monitoring stations
Fine chemical industrial park (FCIP) is a major source of atmospheric pollutants in China. A long-term high spatial resolution monitoring campaign on air pollutants had been firstly conducted in a major FCIP in Yangtze River Delta (YRD) from December 2019 to November 2020. The grid-based monitoring...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-11-01
|
| Series: | Frontiers in Environmental Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.1026842/full |
| _version_ | 1811255314179162112 |
|---|---|
| author | Xiaobing Pang Yu Lu Baozhen Wang Hai Wu Kangli Shi Jingjing Li Bo Xing Lang Chen Zhentao Wu Shang Dai Wei Zhou Xuewei Cui Dongzhi Chen Jianmeng Chen |
| author_facet | Xiaobing Pang Yu Lu Baozhen Wang Hai Wu Kangli Shi Jingjing Li Bo Xing Lang Chen Zhentao Wu Shang Dai Wei Zhou Xuewei Cui Dongzhi Chen Jianmeng Chen |
| author_sort | Xiaobing Pang |
| collection | DOAJ |
| description | Fine chemical industrial park (FCIP) is a major source of atmospheric pollutants in China. A long-term high spatial resolution monitoring campaign on air pollutants had been firstly conducted in a major FCIP in Yangtze River Delta (YRD) from December 2019 to November 2020. The grid-based monitoring platform consisting of 30 miniature air quality monitoring stations (AQMSs) provided comprehensive coverage of a FCIP, and long-term monitoring studies solved the problem of lack of clarity about pollution sources in industrial parks. Overall, NO2 pollution was particularly high in the pharmaceutical industry, while TVOCs and O3 pollution were most serious in the textile dyeing industry, with PM pollution much higher in the metal smelting industry than in other industries, and in the leather industry, O3 pollution was relatively severe. The spatial and temporal variations of air pollutants showed that higher PM, CO and NO2 concentrations were revealed in winter while lower in summer due to better meteorological diffusion conditions. TVOCs concentrations were higher with an average of 1954 ppb in summer possibly due to their increased volatilization from their sources at higher ambient temperatures. O3 concentrations were at their peaks in spring (88.8 μg m−3) and early fall (78.5 μg m−3). The daily trends of O3 precursors (TVOCs and NO2) were clearly negatively correlated with O3, and they showed bimodal peaks due to anthropogenic activities, plant emissions, lowering of the mixed boundary layer, etc. The O3 formed in FCIP was judged to be NO2-limited during the monitoring period based on the ratios of NO2 to TVOCs. Therefore, the effective strategy to reduce O3 formation in FCIP is to decrease the ambient NO2 concentration. Based on Pearson correlation coefficients, it appeared that WS promoted O3 formation through long-term transport and that high air temperatures also contributed to O3 formation in the environment. It was also stated in the study that the closer the residential area is to the industrial sources, the more significant the correlation. Thus, the results of this study will also be helpful for policymakers to design pollutant control strategies for different industries to mitigate the impact of pollutants on human health. |
| first_indexed | 2024-04-12T17:21:58Z |
| format | Article |
| id | doaj.art-c2c1c68e2cc54b25940ccaabb67859ba |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-04-12T17:21:58Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-c2c1c68e2cc54b25940ccaabb67859ba2022-12-22T03:23:27ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-11-011010.3389/fenvs.2022.10268421026842One-year spatiotemporal variations of air pollutants in a major chemical-industry park in the Yangtze River Delta, China by 30 miniature air quality monitoring stationsXiaobing Pang0Yu Lu1Baozhen Wang2Hai Wu3Kangli Shi4Jingjing Li5Bo Xing6Lang Chen7Zhentao Wu8Shang Dai9Wei Zhou10Xuewei Cui11Dongzhi Chen12Jianmeng Chen13College of Environment, Zhejiang University of Technology, Hangzhou, ChinaCollege of Environment, Zhejiang University of Technology, Hangzhou, ChinaGreen Intelligence Environmental School, Yangtze Normal University, Chongqing, ChinaNational Institute of Metrology, Beijing, ChinaCollege of Environment, Zhejiang University of Technology, Hangzhou, ChinaShaoxing Ecological and Environmental Monitoring Center of Zhejiang Province, Shaoxing, ChinaShaoxing Ecological and Environmental Monitoring Center of Zhejiang Province, Shaoxing, ChinaCollege of Environment, Zhejiang University of Technology, Hangzhou, ChinaCollege of Environment, Zhejiang University of Technology, Hangzhou, ChinaCollege of Environment, Zhejiang University of Technology, Hangzhou, ChinaBeijing SDL Technology Co., Ltd., Beijing, ChinaBeijing SDL Technology Co., Ltd., Beijing, ChinaSchool of Petrochemical Engineering and Environment, Zhejiang Ocean University, Zhoushan, ChinaCollege of Environment, Zhejiang University of Technology, Hangzhou, ChinaFine chemical industrial park (FCIP) is a major source of atmospheric pollutants in China. A long-term high spatial resolution monitoring campaign on air pollutants had been firstly conducted in a major FCIP in Yangtze River Delta (YRD) from December 2019 to November 2020. The grid-based monitoring platform consisting of 30 miniature air quality monitoring stations (AQMSs) provided comprehensive coverage of a FCIP, and long-term monitoring studies solved the problem of lack of clarity about pollution sources in industrial parks. Overall, NO2 pollution was particularly high in the pharmaceutical industry, while TVOCs and O3 pollution were most serious in the textile dyeing industry, with PM pollution much higher in the metal smelting industry than in other industries, and in the leather industry, O3 pollution was relatively severe. The spatial and temporal variations of air pollutants showed that higher PM, CO and NO2 concentrations were revealed in winter while lower in summer due to better meteorological diffusion conditions. TVOCs concentrations were higher with an average of 1954 ppb in summer possibly due to their increased volatilization from their sources at higher ambient temperatures. O3 concentrations were at their peaks in spring (88.8 μg m−3) and early fall (78.5 μg m−3). The daily trends of O3 precursors (TVOCs and NO2) were clearly negatively correlated with O3, and they showed bimodal peaks due to anthropogenic activities, plant emissions, lowering of the mixed boundary layer, etc. The O3 formed in FCIP was judged to be NO2-limited during the monitoring period based on the ratios of NO2 to TVOCs. Therefore, the effective strategy to reduce O3 formation in FCIP is to decrease the ambient NO2 concentration. Based on Pearson correlation coefficients, it appeared that WS promoted O3 formation through long-term transport and that high air temperatures also contributed to O3 formation in the environment. It was also stated in the study that the closer the residential area is to the industrial sources, the more significant the correlation. Thus, the results of this study will also be helpful for policymakers to design pollutant control strategies for different industries to mitigate the impact of pollutants on human health.https://www.frontiersin.org/articles/10.3389/fenvs.2022.1026842/fullfine chemical industrial parkair pollutantsspatiotemporal variationminiature air monitoring stationhuman health |
| spellingShingle | Xiaobing Pang Yu Lu Baozhen Wang Hai Wu Kangli Shi Jingjing Li Bo Xing Lang Chen Zhentao Wu Shang Dai Wei Zhou Xuewei Cui Dongzhi Chen Jianmeng Chen One-year spatiotemporal variations of air pollutants in a major chemical-industry park in the Yangtze River Delta, China by 30 miniature air quality monitoring stations Frontiers in Environmental Science fine chemical industrial park air pollutants spatiotemporal variation miniature air monitoring station human health |
| title | One-year spatiotemporal variations of air pollutants in a major chemical-industry park in the Yangtze River Delta, China by 30 miniature air quality monitoring stations |
| title_full | One-year spatiotemporal variations of air pollutants in a major chemical-industry park in the Yangtze River Delta, China by 30 miniature air quality monitoring stations |
| title_fullStr | One-year spatiotemporal variations of air pollutants in a major chemical-industry park in the Yangtze River Delta, China by 30 miniature air quality monitoring stations |
| title_full_unstemmed | One-year spatiotemporal variations of air pollutants in a major chemical-industry park in the Yangtze River Delta, China by 30 miniature air quality monitoring stations |
| title_short | One-year spatiotemporal variations of air pollutants in a major chemical-industry park in the Yangtze River Delta, China by 30 miniature air quality monitoring stations |
| title_sort | one year spatiotemporal variations of air pollutants in a major chemical industry park in the yangtze river delta china by 30 miniature air quality monitoring stations |
| topic | fine chemical industrial park air pollutants spatiotemporal variation miniature air monitoring station human health |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.1026842/full |
| work_keys_str_mv | AT xiaobingpang oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT yulu oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT baozhenwang oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT haiwu oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT kanglishi oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT jingjingli oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT boxing oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT langchen oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT zhentaowu oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT shangdai oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT weizhou oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT xueweicui oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT dongzhichen oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations AT jianmengchen oneyearspatiotemporalvariationsofairpollutantsinamajorchemicalindustryparkintheyangtzeriverdeltachinaby30miniatureairqualitymonitoringstations |