Article
Engineering, Environmental
Xia Sun, Cesunica E. Ivey, Kirk R. Baker, Athanasios Nenes, Neil P. Lareau, Heather A. Holmes
Summary: During wintertime persistent cold air pool events in mountain valleys, uncertainties in simulated meteorology and air quality hinder realistic simulations. Results from the study show that the temporal variability in elevated NOx and PM2.5 concentrations during PCAP events was captured by the model, but the magnitudes were not accurately represented, with PM2.5 being underestimated during PCAP events and overestimated during non-PCAP periods.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Environmental Sciences
Inbo Oh, Mi-Kyoung Hwang, Jin-Hee Bang, Wonho Yang, Soontae Kim, Kiyoung Lee, SungChul Seo, Jiho Lee, Yangho Kim
Summary: This study utilized several hybrid, high-resolution models to simulate the variability of ambient NO2 concentrations in Seoul, South Korea. Results show that observation-fused hybrid models offered improved agreement with mobile measurements, highlighting the potential for enhanced predictive accuracy in air pollutant concentration assessments in complex urban areas.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Haofan Wang, Zhihong Liu, Yang Zhang, Zhengyang Yu, Chunrong Chen
Summary: Urban air pollution is a major public health concern in highly developed cities, and the study found significant differences in the impact of various urban canopy models on urban air quality simulations. Certain models perform better in different seasons.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Elif Mertoglu, Hanny Dwiyari Amantha, Rosa Maria Flores-Rangel
Summary: This study investigates the diurnal and seasonal variations of water-soluble ions in fine particles in an area predominantly affected by traffic emissions in Besiktas, Istanbul. The concentrations of these ions vary with seasons and are influenced by different sources. Sulfate aerosol mainly originates from residential heating and shipping emissions, while the formation of ammonium nitrate is more likely than ammonium sulfate.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Energy & Fuels
Mengxia Qing, Siyuan Lei, Fanhai Kong, Liang Liu, Wei Zhang, Lele Wang, Tingting Guo, Sheng Su, Song Hu, Yi Wang, Jun Xiang
Summary: The generation and deposition of ammonium bisulfate in flue gas can cause serious blockage and corrosion to the air preheater, which poses a significant threat to the safe and economic operation of coal-fired power plants. Experimental results show that the generation and deposition of ammonium bisulfate/ammonium sulfate are influenced by the concentration of SO3 and NH3, the ratio of SO3 to NH3, and the deposition temperature.
Article
Environmental Sciences
Zheng Wan, Zhenghao Cai, Renjie Zhao, Qiang Zhang, Jihong Chen, Zhichao Wang
Summary: Bohai Bay, a significant economic bay area in China, has faced severe ecological consequences due to rapid economic development, especially the emission of air pollutants from ships. This study used a Weather Research and Forecasting and Community Multiscale Air Quality (WRF-CMAQ) model to evaluate the impact of ship emissions on air quality in Bohai Bay. Significant differences in pollutant concentrations were observed, and it was found that inland cities were less affected by ship emissions compared to port cities in the same region, mainly due to wind direction and wind speed.
MARINE POLLUTION BULLETIN
(2023)
Article
Meteorology & Atmospheric Sciences
P. Makkaroon, D. Q. Tong, Y. Li, E. J. Hyer, P. Xian, S. Kondragunta, P. C. Campbell, Y. Tang, B. D. Baker, M. D. Cohen, A. Darmenov, A. Lyapustin, R. D. Saylor, Y. Wang, I. Stajner
Summary: This study developed a multi-model ensemble wildfire air pollution forecast over North America. The ensemble mean significantly reduced biases and produced more consistent and reliable forecasts compared to individual models during extreme fire events. The ensemble mean showed improved performance in AOD forecasts and surface PM2.5 forecasts, outperforming individual models in terms of correlation, bias, hit rate, and overall rank. The ensemble also has the potential to provide a probability forecast of air quality exceedances.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Environmental Sciences
Sun-Kyong Hur, Chang-Hoi Ho, Jinwon Kim, Hye-Ryun Oh, Youn-Seo Koo
Summary: The study evaluated the performance of a Korean air quality model by comparing simulated PM10 concentrations with observations in Seoul during the cold seasons of 2015-2018. Results showed a 70% hit rate for PM10 concentrations within 10 µg/m³ from observations, but systematic overestimation was found for moderate-PM10 days and underestimation for high-PM10 days. Analysis of back-trajectories and wind flows revealed that the bias may be related to emission estimations and synoptic weather patterns.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Construction & Building Technology
He Zhang, Ravi Srinivasan
Summary: This study assessed the relationships between indoor and outdoor air quality data at three different sites in Gainesville city, Florida using a biplot-based PCA approach. The results showed varying degrees of correlation among environmental measurements at different sites, with a stronger correlation observed at site 1 and site 2 compared to site 3. The method introduced in this study can be useful for analyzing high volumes of multiple building environmental measurements with optimized visualization techniques.
Article
Environmental Sciences
Wenlong Gong, Brian J. Reich, Howard H. Chang
Summary: The study developed a spatial multipollutant data fusion model that combines monitoring measurements and chemical transport model simulations. The model successfully generated a daily concentration data product for 12 pollutants in the contiguous United States from 2005 to 2014.
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2021)
Article
Meteorology & Atmospheric Sciences
Jonathan E. Pleim, Limei Ran, Rick D. Saylor, Jeff Willison, Francis S. Binkowski
Summary: This study develops and tests a new aerosol dry deposition model that shows better agreement with measured velocities. The key innovation of the new model is the addition of a second inertial impaction term for microscale obstacles, which increases the mass dry deposition of accumulation mode aerosols.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Engineering, Environmental
Abiola S. Lawal, Armistead G. Russell, Jennifer Kaiser
Summary: The research demonstrates that airport emissions have a significant impact on air quality modeling results, particularly as airport emissions become a larger part of total urban emissions. High-resolution satellite observations can be applied to better understand emissions from facilities such as airports.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Geosciences, Multidisciplinary
Jeong-Beom Lee, Jae-Bum Lee, Youn-Seo Koo, Hee-Yong Kwon, Min-Hyeok Choi, Hyun-Ju Park, Dae-Gyun Lee
Summary: This study developed a deep neural network (DNN) model for 3-day forecasting of PM2.5 concentrations. The DNN model outperformed the currently operational Community Multiscale Air Quality (CMAQ) modeling system by reducing root-mean-squared error (RMSE) and false-alarm rate (FAR). The results showed that the DNN model performed better when trained using observation and forecasting data from the numerical air quality models.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Environmental Sciences
Ru Cao, Wei Liu, Jing Huang, Xiaochuan Pan, Qiang Zeng, Dimitris Evangelopoulos, Peng Yin, Lijun Wang, Maigeng Zhou, Guoxing Li
Summary: This article evaluates the effectiveness of methods for establishing AQHI on long time and large spatial scales and proposes a BMP-based AQHI method that communicates air pollution risks to the public more effectively than the current AQHI and AQI.
ENVIRONMENTAL RESEARCH
(2022)
Editorial Material
Meteorology & Atmospheric Sciences
Xiao Han, Meigen Zhang
Summary: This study quantitatively analyzed the contribution of emission sources in China to PM2.5 concentrations in South Korea through establishment of emission inventories and application of a model, revealing significant achievements made by China in atmospheric particulate treatment.
ADVANCES IN ATMOSPHERIC SCIENCES
(2021)
Article
Meteorology & Atmospheric Sciences
Yuqiang Zhang, Kristen M. Foley, Donna B. Schwede, Jesse O. Bash, Joseph P. Pinto, Robin L. Dennis
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2019)
Article
Environmental Sciences
Robert D. Sabo, Christopher M. Clark, Jesse Bash, Daniel Sobota, Ellen Cooter, James P. Dobrowolski, Benjamin Z. Houlton, Anne Rea, Donna Schwede, Scott L. Morford, Jana E. Compton
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2019)
Article
Environmental Sciences
Patrick C. Campbell, Jesse O. Bash, Christopher G. Nolte, Tanya L. Spero, Ellen J. Cooter, Kyle Hinson, Lewis C. Linker
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2019)
Article
Meteorology & Atmospheric Sciences
Patrick C. Campbell, Jesse O. Bash, Jerold A. Herwehe, Robert C. Gilliam, Dan Li
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2020)
Article
Geosciences, Multidisciplinary
Rui Wang, Xuehui Guo, Da Pan, James T. Kelly, Jesse O. Bash, Kang Sun, Fabien Paulot, Lieven Clarisse, Martin Van Damme, Simon Whitburn, Pierre-Francois Coheur, Cathy Clerbaux, Mark A. Zondlo
Summary: The study used high-resolution monthly ammonia column maps from IASI to identify localized ammonia hotspots with distinct seasonal patterns across different regions. The findings provide constraints for model simulations and guidance for the placement of future ground-based network sites.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Hansen Cao, Daven K. Henze, Liye Zhu, Mark W. Shephard, Karen Cady-Pereira, Enrico Dammers, Michael Sitwell, Nicholas Heath, Chantelle Lonsdale, Jesse O. Bash, Kazuyuki Miyazaki, Christophe Flechard, Yannick Fauvel, Roy Wichink Kruit, Stefan Feigenspan, Christian Bruemmer, Frederik Schrader, Marsailidh M. Twigg, Sarah Leeson, Yuk S. Tang, Amy C. M. Stephens, Christine Braban, Keith Vincent, Mario Meier, Eva Seitler, Camilla Geels, Thomas Ellermann, Agnieszka Sanocka, Shannon L. Capps
Summary: This study presents the first 4D-Var inversion of NH3 accounting for NH3 bi-directional flux using CrIS satellite observations over Europe in 2016. The inversion reveals that NH3 emissions peak more in springtime than prior estimates at continental to national scales, and annual anthropogenic NH3 emissions are generally smaller than prior estimates over central Europe but larger over most of the rest of Europe. The study also highlights the need to accurately simulate diurnal variability of NH3 in assimilation of sun-synchronous observations and the potential value of future geostationary satellite observations.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
Kiran Alapaty, Bin Cheng, Jesse Bash, J. William Munger, John T. Walker, Saravanan Arunachalam
Summary: This study proposes and validates a three-dimensional turbulence velocity scale for estimating resistances in dry deposition. It also suggests replacing the friction velocity measured by 3-D sonic anemometer with the new turbulence velocity scale multiplied by the von Karman constant. The research demonstrates that the new resistance formulations work well in simulating surface latent heat and O-3 fluxes.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Multidisciplinary Sciences
Kristen M. Foleya, George A. Pouliota, Alison Eytha, Michael F. Aldridge, Christine Allen, K. Wyat Appel, Jesse O. Basha, Megan Beardsleya, James Beidlerb, David Choia, Caroline Farkas, Robert C. Gilliam, Janice Godfrey, Barron H. Henderson, Christian Hogrefe, Shannon N. Koplitza, Rich Masona, Rohit Mathura, Chris Misenisa, Norm Possiela, Havala O. T. Pye, Lara Reynolds, Matthew Roark, Sarah Roberts, Donna B. Schwedea, Karl M. Seltzera, Darrell Sonntaga, Kevin Talgob, Claudia Toro, Jeff Vukovicha, Jia Xingc, Elizabeth Adamsd
Summary: The US EPA has developed annual North American emissions data for air pollutants across 18 source categories from 2002 to 2017. These data are intended to support regional air quality modeling for a variety of applications. This dataset is part of the EPA's Air Quality Time Series Project.
Article
Environmental Sciences
Christian Hogrefe, Jesse O. Bash, Jonathan E. Pleim, Donna B. Schwede, Robert C. Gilliam, Kristen M. Foley, K. Wyat Appel, Rohit Mathur
Summary: This study analyzes the simulations performed with the CMAQ model in the AQMEII4 project, and finds that the simulations perform similarly to other regional-scale modeling studies. Differences between M3Dry and STAGE are observed in both summer and winter, and the impact of land use (LU) classification on the simulations is also discussed.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Ecology
John T. Walker, Xi Chen, Zhiyong Wu, Donna Schwede, Ryan Daly, Aleksandra Djurkovic, A. Christopher Oishi, Eric Edgerton, Jesse Bash, Jennifer Knoepp, Melissa Puchalski, John Iiames, Chelcy F. Miniat
Summary: Assessing nutrient critical load exceedances requires complete and accurate atmospheric deposition budgets for reactive nitrogen (N-r). The Southern Appalachian Nitrogen Deposition Study (SANDS) used a combination of measurements and field-scale modeling to develop a complete annual Nr deposition budget for a deciduous forest at the Coweeta Hydrologic Laboratory. The results showed that the total annual deposition was around 6.7 kg N ha(-1) yr(-1), with reduced forms of N-r contributing the most. Reducing NHx deposition is necessary to achieve the lowest estimates of Nr critical loads in southern Appalachian forests.
Article
Environmental Sciences
Sarah E. Benish, Jesse O. Bash, Kristen M. Foley, K. Wyat Appel, Christian Hogrefe, Robert Gilliam, George Pouliot
Summary: The analysis evaluates wet, dry, and total N and S deposition in the contiguous US from multiyear simulations with a focus on model underestimates in certain regions and proposes a fusion approach with precipitation and bias correction to improve model performance. Trends in nitrogen and sulfur deposition vary across climatologically consistent regions in the US, with a slowdown in the rate of decline likely due to smaller emission reductions in recent years.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Environmental Sciences
Stefano Galmarini, Paul Makar, Olivia E. Clifton, Christian Hogrefe, Jesse O. Bash, Roberto Bellasio, Roberto Bianconi, Johannes Bieser, Tim Butler, Jason Ducker, Johannes Flemming, Alma Hodzic, Christopher D. Holmes, Ioannis Kioutsioukis, Richard Kranenburg, Aurelia Lupascu, Juan Luis Perez-Camanyo, Jonathan Pleim, Young-Hee Ryu, Roberto San Jose, Donna Schwede, Sam Silva, Ralf Wolke
Summary: This technical note presents the research protocol for phase 4 of the AQMEII4 initiative, focusing on wet and dry deposition processes in regional air quality models. The protocol aims to define the current state of science and quantify the influence of different dry deposition parameterizations on air pollutant predictions.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)
Article
Geosciences, Multidisciplinary
Benjamin N. Murphy, Christopher G. Nolte, Fahim Sidi, Jesse O. Bash, K. Wyat Appel, Carey Jang, Daiwen Kang, James Kelly, Rohit Mathur, Sergey Napelenok, George Pouliot, Havala O. T. Pye
Summary: Air quality modeling often involves executing many emissions sensitivity cases offline, which can be time-consuming and error-prone. The DESID module in CMAQv5.3 performs these modifications online during air quality simulation, enhancing transparency with error-checking and optional gridded output. These new features are valuable for various air quality applications.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Geosciences, Multidisciplinary
K. Wyat Appel, Jesse O. Bash, Kathleen M. Fahey, Kristen M. Foley, Robert C. Gilliam, Christian Hogrefe, William T. Hutzell, Daiwen Kang, Rohit Mathur, Benjamin N. Murphy, Sergey L. Napelenok, Christopher G. Nolte, Jonathan E. Pleim, George A. Pouliot, Havala O. T. Pye, Limei Ran, Shawn J. Roselle, Golam Sarwar, Donna B. Schwede, Fahim Sidi, Tanya L. Spero, David C. Wong
Summary: The CMAQ model version 5.3, released in August 2019, features significant updates in science, functionality, and computation efficiency compared to version 5.2.1. Major advances in the new model include enhanced aerosol, chlorine, bromine, and iodine chemistry, as well as updated deposition models. In addition, support for the WRF model's hybrid vertical coordinate was added. Evaluations of CMAQ531 show differences in O-3 and PM2:5 values compared to CMAQ521.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Geosciences, Multidisciplinary
Quazi Z. Rasool, Jesse O. Bash, Daniel S. Cohan
GEOSCIENTIFIC MODEL DEVELOPMENT
(2019)
Article
Environmental Sciences
Muhammad Waqas, Majid Nazeer, Man Sing Wong, Wu Shaolin, Li Hon, Joon Heo
Summary: The socio-economic restriction measures implemented in the United States have significantly reduced nitrogen dioxide (NO2) emissions. The study highlights the impact of factors such as human mobility, population density, income, climate, and stationary sources on the reduction of NO2 at different stations. The research emphasizes the scientific impacts of the NO2 reduction and income inequality revealed by the pandemic on air quality and health disparities.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Guorui Zhi, Jinhong Du, Aizhong Chen, Wenjing Jin, Na Ying, Zhihui Huang, Peng Xu, Di Wang, Jinghua Ma, Yuzhe Zhang, Jiabao Qu, Hao Zhang, Li Yang, Zhanyun Ma, Yanjun Ren, Hongyan Dang, Jianglong Cui, Pengchuan Lin, Zhuoshi He, Jinmin Zhao, Shuo Qi, Weiqi Zhang, Wenjuan Zhao, Yingxin Li, Qian Liu, Chen Zhao, Yi Tang, Peng Wei, Jingxu Wang, Zhen Song, Yao Kong, Xiangzhe Zhu, Yi Shen, Tianning Zhang, Yangxi Chu, Xinmin Zhang, Jiafeng Fu, Qingxian Gao, Jingnan Hu, Zhigang Xue
Summary: An comprehensive emission inventory for China in 2019, which includes both air pollutants and greenhouse gases, was developed in this study. The inventory utilizes existing frameworks and data to provide comparable emissions data and demonstrates the relationship between emissions and economic development.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
I-Ting Ku, Yong Zhou, Arsineh Hecobian, Katherine Benedict, Brent Buck, Emily Lachenmayer, Bryan Terry, Morgan Frazier, Jie Zhang, Da Pan, Lena Low, Amy Sullivan, Jeffrey L. Collett Jr
Summary: Unconventional oil and natural gas development (UOGD) in the United States has expanded rapidly in recent decades, raising concerns about its impact on air quality. This study conducted extensive air monitoring during the development of several large well pads in Broomfield, Colorado, providing a unique opportunity to examine changes in local air toxics and VOC concentrations during well drilling and completions and production. The study identified significant increases in VOC concentrations during drilling operations, highlighting the importance of emissions from synthetic drilling mud. The findings suggest opportunities to mitigate emissions during UOGD operations.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Puji Lestari, Akbar R. Tasrifani, Wiranda I. Suri, Martin J. Wooster, Mark J. Grosvenor, Yusuke Fujii, Vissia Ardiyani, Elisa Carboni, Gareth Thomas
Summary: This study developed field emission factors for various pollutants in peatland fires and estimated the total emissions. Gas samples were collected using an analyzer, while particulate samples were collected using air samplers. The study found significant emissions of CO2, CO, PM2.5, carbon aerosols, water-soluble ions, and elements from the fires in Central Kalimantan, Indonesia in 2019.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Ligang Li, Yuyu Chen, Lu Fan, Dong Sun, Hu He, Yongshou Dai, Yong Wan, Fangfang Chen
Summary: A high-precision retrieval method based on a deep convolutional neural network and satellite remote sensing data is proposed to obtain accurate methane vertical profiles.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Hyung Joo Lee, Toshihiro Kuwayama, Michael Fitzgibbon
Summary: This study investigated the changes in nitrogen dioxide (NO2) air pollution levels and their disparities in California, U.S. during the pandemic of coronavirus disease 2019 (COVID-19). The results showed a decrease in NO2 concentrations, especially in urban and high-traffic areas. However, socially vulnerable populations still experienced higher levels of NO2 exposure. The study suggests that reducing NO2 disparities, particularly racial inequity, can be achieved through continued regulatory actions targeting traffic-related NOx emissions.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Maria Chiara Pietrogrande, Beatrice Biffi, Cristina Colombi, Eleonora Cuccia, Umberto Dal Santo, Luisa Romanato
Summary: This study investigates the chemical composition and oxidative potential of PM10 particles in the Po Valley, Italy, and demonstrates the impact of high levels of atmosphere ammonia. The rural area had significantly higher ammonia concentrations compared to the urban site, resulting in higher levels of secondary inorganic aerosol. Although the SIA components did not contribute significantly to the PM10 oxidative reactivity, they were correlated with the oxidative potential measurements. This suggests that the contribution of SIA to PM oxidative toxicity cannot be ignored.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Natalie Allen, Jan Gacnik, Sarrah M. Dunham-Cheatham, Mae Sexauer Gustin
Summary: Accurate measurement of atmospheric reactive mercury is challenging due to its reactivity and low concentrations. The University of Nevada, Reno Reactive Mercury Active System (RMAS) has been shown to be more accurate than the industry standard, but has limitations including long time resolution and sampling biases. Increasing the sampling flow rate negatively affected RM concentrations, but did not impact the chemical composition of RM captured on membranes.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Chin-Yu Hsu, Wei-Ting Hsu, Ching-Yi Mou, Pei-Yi Wong, Chih-Da Wu, Yu-Cheng Chen
Summary: This study estimated the daily exposure concentrations of PM2.5 for elderly individuals residing in different regions of Taiwan using land use regression with machine learning (LUR_ML) and microenvironmental exposure (ME) models. The accuracy of the models varied across regions, with the ME models exhibiting higher predictions and lower biases. The use of region-specific microenvironmental measurements in the ME model showed potential for accurate prediction of personal PM2.5 exposure.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Xiaohan Si, Kerrie Mengersen, Chuchu Ye, Wenbiao Hu
Summary: This study found that there is an interactive effect between air pollutants and weather factors, which significantly affects influenza transmission. Future research should consider the interactive effects between pollutants and temperature or humidity to evaluate the environment-influenza association.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Luxi Xu, Ruijun Xu, Yunshao Ye, Rui Wang, Jing Wei, Chunxiang Shi, Qiaoxuan Lin, Ziquan Lv, Suli Huang, Qi Tian, Yuewei Liu
Summary: This study aimed to evaluate the impact of ambient air pollution on hospital admissions for angina. The results showed that exposure to ambient particulate matter, sulfur dioxide, nitrogen dioxide, carbon monoxide, and ozone are associated with an increased risk of hospital admissions for angina. The association with nitrogen dioxide exposure was found to be the strongest.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Xinyu Yu, Man Sing Wong, Majid Nazeer, Zhengqiang Li, Coco Yin Tung Kwok
Summary: This study proposes a novel method to address the challenge of missing values in satellite-derived AOD products and creates a comprehensive daily AOD dataset for the Guangdong-Hong Kong-Macao Greater Bay Area. By reconstructing missing values and developing a new model, the derived dataset outperforms existing products and agrees well with ground-based observations. Additionally, the dataset exhibits consistent temporal patterns and more spatial details.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Yidan Zhang, Yifan Xu, Bo Peng, Wu Chen, Xiaoyu Cui, Tianle Zhang, Xi Chen, Yuan Yao, Mingjin Wang, Junyi Liu, Mei Zheng, Tong Zhu
Summary: This study developed a sensitive method to measure the metallic components of atmospheric fine particulate matter (PM2.5) and compared the results with different analysis methods. The concentrations of metallic components in personal PM2.5 samples were found to be significantly different from corresponding fixed-site samples. Personal sampling can reduce exposure misclassifications, and measuring metallic components is useful for exploring health risks and identifying sources of PM2.5.
ATMOSPHERIC ENVIRONMENT
(2024)
Review
Environmental Sciences
Jamie Leonard, Lea Ann El Rassi, Mona Abdul Samad, Samantha Prehn, Sanjay K. Mohanty
Summary: Increasing concentrations of microplastics in the Earth's atmosphere could have adverse effects on ecosystems and human health. The deposition rate of airborne microplastics is influenced by both land use and climate, and a global analysis suggests that climate may have a greater impact on the concentration and deposition rate of microplastics than land use.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Tian Zhou, Xiaowen Zhou, Zining Yang, Carmen Cordoba-Jabonero, Yufei Wang, Zhongwei Huang, Pengbo Da, Qiju Luo, Zhijuan Zhang, Jinsen Shi, Jianrong Bi, Hocine Alikhodja
Summary: This study investigated the long-range transport and effects of North African and Middle Eastern dust in East Asia using lidar observations and model simulations. The results showed that the dust originated from multiple sources and had a long transport time. The vertical distribution of the dust was found to be crucial for assessing its impacts.
ATMOSPHERIC ENVIRONMENT
(2024)