Article
Environmental Sciences
Manish Soni, Sunita Verma, Manoj K. Mishra, R. K. Mall, Swagata Payra
Summary: This study uses a combination of satellite retrievals and a weather model to estimate ground-level PM10 concentration. The results show that the model captures the spatial pattern of PM10 well, but underestimates the aerosol loading. A scaling is applied to improve the estimation, resulting in better agreement with observational data. The study demonstrates the importance of integrating satellite data and models for accurate estimation of particulate pollution.
Article
Environmental Sciences
Zengliang Zang, Wei You, Hancheng Ye, Yanfei Liang, Yi Li, Daichun Wang, Yiwen Hu, Peng Yan
Summary: A 3DVAR data assimilation system was developed for aerosol optical depth (AOD) and aerosol concentration observations, which showed significant improvement in the analysis accuracy and forecast skills of aerosols.
Article
Engineering, Aerospace
Oradee Pilahome, Waichaya Nissawan, Yuttapichai Jankondee, Itsara Masiri, Wilawan Kumharn
Summary: During high concentrations of PM2.5 in Bangkok from January 1, 2016 to December 31, 2021, the relationships between PM2.5, aerosol optical depth (AOD), and cloud parameters were investigated using satellite remote sensing data. The results showed that PM2.5 had a strong negative correlation with cloud fraction (CF) and a negative correlation with AOD. Additionally, PM2.5 had a negative relationship with cloud effective radius (CER) but a positive correlation with cloud top pressure (CTP) and cloud top temperature (CTT). There was also a negative correlation between PM2.5 and cloud optical depth (COD). Cloud parameters are significantly influenced by PM2.5 concentrations during high PM2.5 levels. Rating: 7/10.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Environmental Sciences
Ana Amarillo, Hebe Carreras, Trismono Krisna, Marcos Mignola, Ivan Tavera Busso, Manfred Wendisch
Summary: The study analyzed the carbonaceous chemical composition and mass concentration of PM2.5 particles in the metropolitan area of Córdoba city, and found spatial variations in the mass concentrations throughout the city. The data showed a negative correlation between meteorological parameters and PM2.5 concentrations, with PM2.5 having a negative effect on particles, suggesting a local radiative heating effect due to PM2.5.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Jilin Gu, Yiwei Wang, Ji Ma, Yaoqi Lu, Shaohua Wang, Xueming Li
Summary: This study examines the spatiotemporal distributions of PM2.5 and AOD in Dalian, China using satellite remote sensing data and ground measurements. The results show consistent trends and correlations between PM2.5 and AOD. By establishing a BPNN model and incorporating meteorological factors, the study successfully predicts PM2.5 concentrations with good accuracy.
Article
Environmental Sciences
Qiang Pu, Eun-Hye Yoo
Summary: A missing data imputation model was developed for satellite-derived AOD and PM2.5 predictions, achieving superior performance, while considerable uncertainty was found in PM2.5 predictions associated with the imputed AOD values.
ENVIRONMENTAL POLLUTION
(2021)
Article
Meteorology & Atmospheric Sciences
Rama Krishna Karumuri, Ravi Kumar Kunchala, Raju Attada, Hari Prasad Dasari, Ibrahim Hoteit
Summary: This study uses simulation models and observational data to reveal the high AOD regions in the Arabian Peninsula are mainly influenced by dust, while summer AOD exhibits significant year-to-year variations in different years.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Environmental Sciences
Somaya Falah, Fadi Kizel, Tirthankar Banerjee, David M. Broday
Summary: A new method is developed to predict surface PM2.5 concentrations by utilizing information on aerosol type retrieved from satellite observations. The method uses Random Forest and eXtreme Gradient Boosting models with input of widely available satellite aerosol products and surface meteorological data, resulting in improved risk assessment of PM2.5 exposure and more accurate radiative forcing calculations.
ENVIRONMENTAL POLLUTION
(2023)
Article
Environmental Sciences
Tianning Zhang, Weihuan He, Hui Zheng, Yaoping Cui, Hongquan Song, Shenglei Fu
Summary: The study proposed a model using satellite data to estimate PM2.5 concentrations in China in 2017, showing good performance in temporal and spatial variability. The GBDT model excelled in estimating PM2.5 concentrations, especially in summer.
Article
Engineering, Environmental
Yuelei Xu, Yan Huang, Zhongyang Guo
Summary: This study analyzed the impact of meteorological elements, AOD products, and modeling methods on the accuracy of the AOD-PM2.5 model, finding that incorporating meteorological elements that vary with time and height can significantly improve model accuracy in eastern China, Terra AOD products have a higher product index compared to Aqua AOD products, and the RF model outperforms other modeling methods in terms of performance.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Engineering, Aerospace
Senol Hakan Kutoglu, Fatemeh Ghasempour, Aliihsan Sekertekin
Summary: This study aims to investigate aerosol variations as earthquake precursors for eight Mw > 7.0 earthquakes over several years, but concludes that there is insufficient evidence to confirm the occurrence of pre-seismic aerosol anomalies in the atmosphere.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Geography, Physical
Yue Jing, Long Pan, Yanling Sun
Summary: Due to the uneven distribution of environmental monitoring sites, there are data gaps in concentrations of PM2.5 obtained using traditional methods. Satellite products, such as MODIS AOD, can be used as an alternative data source. However, there are data gaps in winter. This study used VIIRS AOD to supplement MODIS AOD and developed a three-stage model to estimate PM2.5 with high accuracy.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Environmental Sciences
Yu Wang, Md Arfan Ali, Muhammad Bilal, Zhongfeng Qiu, Song Ke, Mansour Almazroui, Md Monirul Islam, Yuanzhi Zhang
Summary: This study analyzed aerosol optical depth (AOD) data in 13 cities of Jiangsu Province, finding higher AOD in summer and lower in winter, with relatively common frequencies of 0.3 <= AOD < 0.5 associated with anthropogenic activities, increased emissions, and changes in meteorological circumstances.
Article
Environmental Sciences
Zhixin Xue, Pawan Gupta, Sundar Christopher
Summary: Frequent and widespread wildfires in the northwestern United States and Canada have become the new normal during the Northern Hemisphere summer months, significantly degrading particulate matter air quality in the United States. Smoke aerosols caused significant pollution changes over half of the United States, with nearly 29 states experiencing increased PM2.5 during fire-active years.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)
Article
Environmental Sciences
Qiangqiang Xu, Xiaoling Chen, Shangbo Yang, Linling Tang, Jiadan Dong
Summary: This study investigates the relationship between PM2.5 and Himawari satellite's AOD on different spatial and temporal scales in mainland China from 2016 to 2018. The research found that there are variations in correlation and ratio between PM2.5 and AOD in different time periods and urban agglomerations, with a unimodal pattern in PM2.5/AOD ratio in summer and winter, and changes in PM2.5-AOD relationship within a week in winter.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Sumita Kedia, Rajesh Kumar, Sahidul Islam, Yogesh Sathe, Akshara Kaginalkar
ATMOSPHERIC ENVIRONMENT
(2018)
Article
Environmental Sciences
Moqtik Bawase, Yogesh Sathe, Hemant Khandaskar, Sukrut Thipse
Summary: The study observed seasonal variability in PM2.5 and PM10, with winter peaks and summer lows. It found that organic matter, sulfate-nitrate-ammonium ions, and elemental carbon dominated PM2.5, while organic matter, SNA ions, and crustal materials dominated PM10. Chemical ratios suggested mixed sources of PM, with contributions from vehicular emissions, dust from construction activities, and fossil fuel combustion. The analysis highlights the importance of controlling primary emissions and secondary precursors for improving air quality in the region.
JOURNAL OF ATMOSPHERIC CHEMISTRY
(2021)
Article
Construction & Building Technology
Yogesh Sathe, Pawan Gupta, Moqtik Bawase, Lok Lamsal, Falguni Patadia, Sukrut Thipse
Summary: The strict nationwide lockdown in India led to a significant reduction in nitrogen dioxide and fine particulate matter concentrations, which was also supported by satellite observations.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Environmental Sciences
Youjung Jang, Hyejung Hu, Bomi Kim, Younha Kim, Seung-Jick Yoo, Kyungae Jang, Yoon-Kwan Kim, Hyungah Jin, Jung-Hun Woo
Summary: This study quantitatively analyzed the effects of climate and air pollutant reduction policies in Korea, demonstrating that these policies can lead to reductions in greenhouse gas emissions and atmospheric pollutants. The integrated model used in the study provides advantages for evaluating climate and air quality policies, and the findings offer valuable insights and data for policy development and assessment.
ATMOSPHERIC POLLUTION RESEARCH
(2024)
Article
Environmental Sciences
Giuseppe Piras, Fabrizio Pini, Paolo Di Girolamo
Summary: This study assesses the contribution of tires to atmospheric PM10 pollution and finds that tire emissions of PM10 are larger than those from exhaust gases. It suggests the need for specific strategies to reduce tire emissions, such as producing lighter vehicles, using narrower wheels, and promoting public transportation.
ATMOSPHERIC POLLUTION RESEARCH
(2024)
Article
Environmental Sciences
Laura Vallecillos, Rosa Maria Marce, Francesc Borrull
Summary: This study focuses on the implementation of a gas chromatograph-photoionization detection (GC-PID) analyzer for the continuous monitoring of 1,3-butadiene (1,3-BD) levels in urban and industrial atmospheres. The study found that the concentrations of 1,3-BD recorded by the GC-PID analyzer were comparable to those obtained by active sampling, and the concentration peaks showed consistency in values and time slots. In the test of urban atmospheres, the results showed that the concentrations of 1,3-BD were related to prevailing wind direction and activities in the petrochemical zone, while other factors had minor effects on the distribution of this pollutant.
ATMOSPHERIC POLLUTION RESEARCH
(2024)
Article
Environmental Sciences
Ajay Kumar, Arun K. Attri
Summary: This study investigated the temporal profile and composition of PM10 over a 14-month period, and found significant variations between different seasons. The highest concentrations of PM10 were observed in summer and winter, exceeding the national limits. Water-soluble ionic species and n-alkanes contributed to the PM10 mass, with the highest concentration in winter and the lowest in the monsoon season. The ion balance study revealed a strong correlation between anion and cation charge equivalents, indicating their main contribution to PM10. The main sources of PM10 components were identified using statistical correlation, regression, and principal component analysis.
ATMOSPHERIC POLLUTION RESEARCH
(2024)
Article
Environmental Sciences
Jenny Martinez, Yris Olaya Morales, Prashant Kumar
Summary: The impact of bicycle lane designs on cyclist exposure to air pollution is a significant concern. This study found that in the city of Medellin, Colombia, the sections without dedicated bicycle lanes had the highest PM2.5 exposure and inhaled dose. Cyclists had higher PM2.5 exposure and inhaled dose during morning peak hours compared to evening peak and off-peak hours. Segregated cycling lanes on the sidewalk can considerably lower PM2.5 exposure and inhaled doses for cyclists.
ATMOSPHERIC POLLUTION RESEARCH
(2024)
Article
Environmental Sciences
Ying Xu, Qingyang Liu, James J. Schauer
Summary: In this study, a quantitative method using dual-wavelength ultraviolet-visible spectroscopy and Raman spectroscopy was developed to analyze carbon black with amorphous structures and ordering in a graphene sheet. Water extracts of carbon black showed high oxidative potential, and the presence of water-soluble ions enhanced its oxidative potential. These findings can help mitigate health risks associated with nano-carbon black emissions.
ATMOSPHERIC POLLUTION RESEARCH
(2024)
Article
Environmental Sciences
Zhongmin Zhu, Hui Li, Shumin Fan, Wenfa Xu, Ruimin Fang, Boming Liu, Wei Gong
Summary: This study investigates the relationship between temperature inversions (TI) and aerosol vertical distribution in China. The results show that TI frequency, inversion strength (Delta T), and TI height (TIH) exhibit similar seasonal patterns across different regions in China. NC has a significantly higher TI frequency during summer, possibly due to the heating effect of black carbon aerosol. Aerosol optical depth (AOD) above the TIH is higher in spring and summer, indicating the presence of aerosol high-level transport over mainland China during these seasons. The study also finds that a strong inversion can suppress surface aerosols below the TI, but in regions with strong atmospheric stability, aerosols tend to accumulate above the TIH. These findings are valuable for understanding aerosol transport.
ATMOSPHERIC POLLUTION RESEARCH
(2024)
