1
|
Zhang J, Bian L, Dong F, Zeng Y, Nie J, Lv Z, He P, He J, Liu C, Yu W, Yi Z, Yu J, Huo T. Mineralogy and phase transition mechanisms of atmospheric mineral particles: Migration paths, sources, and volatile organic compounds. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 330:121789. [PMID: 37164219 DOI: 10.1016/j.envpol.2023.121789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 05/04/2023] [Accepted: 05/06/2023] [Indexed: 05/12/2023]
Abstract
Inorganic mineral particles play an important role in the formation of atmospheric aerosols in the Sichuan Basin. Atmospheric haze formation is accompanied by the phase transition of mineral particles under high humidity and stable climatic conditions. Backward trajectory analysis was used in this study to determine the migration trajectory of atmospheric mineral particles. Furthermore, Positive matrix factorization (PMF) was used to analyze the sources of atmospheric mineral particles. The phase transition mechanisms of atmospheric mineral particles were studied using ion chromatography, inductively coupled plasma emission spectrometry, total organic carbon analysis, X-ray diffraction, Fourier-transform infrared spectroscopy, scanning electron microscopy coupled with energy dispersive spectrometry, and grand canonical Monte Carlo methods. Three migration and phase transition paths were identified for the mineral particles. Sources of atmospheric mineral particles included combustion, vehicle emissions, industrial emissions, agricultural sources, and mineral dust. The main mineral phases in atmospheric particles, calcite and dolomite, were transformed into gypsum, and muscovite may be transformed into kaolinite. The phase transition of mineral particles seriously affects the formation of aerosols and worsens haze. Typically, along the Nanchong-Suining-Neijiang-Zigong-Yibin path, calcite is converted into gypsum under the influence of man-made inorganic pollution gases, which worsen the haze conditions and cause slight air pollution for 3-5 days. However, along the Guangyuan-Mianyang-Deyang-Chengdu-Meishan-Ya'an path, anthropogenic volatile organic compounds (VOCs) hindered gypsum formation from dolomite. Furthermore, dolomite and VOCs formed stable adsorption systems (system energies from -0.41 to -4.76 eV, long bonds from 0.20 to 0.24 nm). The adsorption system of dolomite and m/p-xylene, with low system energy (-1.46 eV/-1.33 eV) and significant correlation (r2 = 0.991, p < 0.01), was the main cause of haze formation. Consequently, calcite gypsification and dolomite-VOC synergism exacerbated regional haze conditions. This study provides a theoretical reference for the mechanism of aerosol formation in basin climates.
Collapse
Affiliation(s)
- Jiao Zhang
- Key Laboratory of Solid Waste Treatment and Resource Recycle, School of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Liang Bian
- Key Laboratory of Solid Waste Treatment and Resource Recycle, School of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China; State Key Laboratory of Environment-friendly Energy Materials, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China.
| | - Faqin Dong
- Key Laboratory of Solid Waste Treatment and Resource Recycle, School of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Yingying Zeng
- Key Laboratory of Solid Waste Treatment and Resource Recycle, School of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Jianan Nie
- Key Laboratory of Solid Waste Treatment and Resource Recycle, School of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Zhenzhen Lv
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Ping He
- School of Materials and Chemistry, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Jing He
- Key Laboratory of Solid Waste Treatment and Resource Recycle, School of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Chang Liu
- Key Laboratory of Solid Waste Treatment and Resource Recycle, School of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Wenxin Yu
- School of Computer and Technology, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Zao Yi
- School of Mathematics and Physics, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Jieyu Yu
- Key Laboratory of Solid Waste Treatment and Resource Recycle, School of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| | - Tingting Huo
- Key Laboratory of Solid Waste Treatment and Resource Recycle, School of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China
| |
Collapse
|
2
|
Zhang J, Liu P, Song H, Miao C, Yang J, Zhang L, Dong J, Liu Y, Zhang Y, Li B. Multi-Scale Effects of Meteorological Conditions and Anthropogenic Emissions on PM2.5 Concentrations over Major Cities of the Yellow River Basin. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15060. [PMID: 36429779 PMCID: PMC9690158 DOI: 10.3390/ijerph192215060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
The mechanism behind PM2.5 pollution is complex, and its performance at multi-scales is still unclear. Based on PM2.5 monitoring data collected from 2015 to 2021, we used the GeoDetector model to assess the multi-scale effects of meteorological conditions and anthropogenic emissions, as well as their interactions with PM2.5 concentrations in major cities in the Yellow River Basin (YRB). Our study confirms that PM2.5 concentrations in the YRB from 2015 to 2021 show an inter-annual and inter-season decreasing trend and that PM2.5 concentrations varied more significantly in winter. The inter-month variation of PM2.5 concentrations shows a sinusoidal pattern from 2015 to 2021, with the highest concentrations in January and December and the lowest from June to August. The PM2.5 concentrations for major cities in the middle and downstream regions of the YRB are higher than in the upper areas, with high spatial distribution in the east and low spatial distribution in the west. Anthropogenic emissions and meteorological conditions have similar inter-annual effects, while air pressure and temperature are the two main drivers across the whole basin. At the sub-basin scale, meteorological conditions have stronger inter-annual effects on PM2.5 concentrations, of which temperature is the dominant impact factor. Wind speed has a significant effect on PM2.5 concentrations across the four seasons in the downstream region and has the strongest effect in winter. Primary PM2.5 and ammonia are the two main emission factors. Interactions between the factors significantly enhanced the PM2.5 concentrations. The interaction between ammonia and other emissions plays a dominant role at the whole and sub-basin scales in summer, while the interaction between meteorological factors plays a dominant role at the whole-basin scale in winter. Our study not only provides cases and references for the development of PM2.5 pollution prevention and control policies in YRB but can also shed light on similar regions in China as well as in other regions of the world.
Collapse
Affiliation(s)
- Jiejun Zhang
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China
| | - Pengfei Liu
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
- Institute of Urban Big Data, Henan University, Kaifeng 475004, China
| | - Hongquan Song
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
- Institute of Urban Big Data, Henan University, Kaifeng 475004, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, 475004, China
| | - Changhong Miao
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China
| | - Jie Yang
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China
| | - Longlong Zhang
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Junwu Dong
- College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
| | - Yi Liu
- Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China
| | - Yunlong Zhang
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Bingchen Li
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| |
Collapse
|
3
|
Wu X, Zhang Y, Hou F, Wang H, Zhou J, Yu W. The energy and time saving coordinated control methods of CO2, VOCs, and PM2.5 in office buildings. PLoS One 2022; 17:e0275157. [PMID: 36166418 PMCID: PMC9514625 DOI: 10.1371/journal.pone.0275157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 09/12/2022] [Indexed: 11/29/2022] Open
Abstract
Indoor air pollution is complex and serious. In fact, an on-site investigation of an office building revealed that the concentration of three typical pollutants (CO2, VOCs, PM2.5) exceeded the Chinese standard. To identify a better control method to achieve good indoor air quality, an orthogonal experiment was carried out in an environmental chamber to compare the control time and energy consumption of four control methods (purifier+ and window+, purifier+ and window-, purified fresh air 240 m3/h and purified fresh air 400 m3/h) to meet the standard established for pollutants. The purifier+ and window+ method was found to be more effective in most conditions, with a control time reduced by 8.06% and energy consumption reduced by 11.91% compared with the traditional control method of purified fresh air 240 m3/h. This research highlights the optimal control strategy for the air quality in office buildings under different pollution conditions.
Collapse
Affiliation(s)
- Xiaochun Wu
- School of Civil Engineering, Chongqing University, Chongqing, China
- Western Investment Limited Company of China Construction Third Engineering Bureau, Chengdu, Sichuan, China
| | - Yan Zhang
- School of Civil Engineering, Chongqing University, Chongqing, China
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, China
- National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China
- * E-mail: (YZ); (WY)
| | - Fang Hou
- School of Civil Engineering, Chongqing University, Chongqing, China
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, China
- National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China
| | - Huichao Wang
- Western Investment Limited Company of China Construction Third Engineering Bureau, Chengdu, Sichuan, China
| | - Jianjie Zhou
- Western Investment Limited Company of China Construction Third Engineering Bureau, Chengdu, Sichuan, China
| | - Wei Yu
- School of Civil Engineering, Chongqing University, Chongqing, China
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, China
- National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China
- * E-mail: (YZ); (WY)
| |
Collapse
|