Article
Geosciences, Multidisciplinary
Linnea Huusko, Angshuman Modak, Thorsten Mauritsen
Summary: This study using climate model simulations finds that the temperature response induced by aerosol-cloud interactions is larger than that directly induced by aerosols. The cooling effect of aerosol-cloud interactions occurs primarily over remote oceans in the extratropics, while the impact of aerosol emissions is localized around emission sources over tropical land.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Engineering, Environmental
Arthur J. Sedlacek III, Ernie R. Lewis, Timothy B. Onasch, Paquita Zuidema, Jens Redemann, Daniel Jaffe, Lawrence I. Kleinman
Summary: The lifecycle of black carbon (BC)-containing particles from biomass burns is primarily influenced by changes in particle coating, with the coating mass increasing rapidly, then remaining relatively constant for a period before slowly decreasing. The initial increase in coating mass can be used to determine the formation rates of secondary organic aerosol (SOA).
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Goutam Choudhury, Matthias Tesche
Summary: This study compares the CCN concentrations derived from ground-based and spaceborne measurements and finds good agreement between the two. The necessary measures for global CCN retrieval are pointed out. The results demonstrate the competence of CALIOP in compiling a global CCN dataset.
Article
Environmental Sciences
Travis D. D. Toth, Jianglong Zhang, Mark A. A. Vaughan, Jeffrey S. S. Reid, James R. R. Campbell
Summary: This study uses NASA CALIOP data to derive the multi-year mean and trends of PM2.5 concentrations in the contiguous United States. The results show a promising relationship between CALIOP-derived PM2.5 and EPA-observed PM2.5, and suggest that air quality is generally improving in the eastern CONUS. The study also finds positive PM2.5 trends during the wildfire season in the western CONUS.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Engineering, Chemical
Angela Ren, Jamie E. Spahn, Hugh D. C. Smyth, Feng Zhang
Summary: Twin-screw continuous mixing was used to prepare aerosol powders with budesonide, magnesium stearate, and alpha-lactose monohydrate. The effects of mixing configuration, screw speed, feed rate, and multiple passes on powder quality and aerosol performance were investigated. The study demonstrated the control of content uniformity and improved aerosol performance through twin-screw mixing, making it a suitable process for continuous manufacturing of aerosol powders.
Article
Environmental Sciences
Jianyu Zheng, Zhibo Zhang, Anne Garnier, Hongbin Yu, Qianqian Song, Chenxi Wang, Philippe Dubuisson, Claudia Di Biagio
Summary: Recent studies have shown that global climate models underestimate the size of dust particles, particularly the larger ones, which leads to an underestimation of the direct radiative effect of dust in the thermal infrared region. This study presents a simple approach to retrieve the optical depth of dust over the oceans at night using observations from the Infrared Imaging Radiometer and the Cloud-Aerosol Lidar with Orthogonal Polarization. The study finds that the retrieval of dust optical depth is more affected by the particle size distribution assumption than the refractive indices of the dust.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Haifeng Gong, Chunlei Cheng, Mei Li, Suxia Yang, Qianni Zhou, Qi En Zhong, Yao Zhang, Yutong Xie, Zhen Zhou
Summary: The study revealed the significant enrichment of oxalate in metal-containing particles, with enhanced oxalate production in Fe- and V-containing particles. The internal mixing of oxalate with metals provides an efficient way for the photolysis of oxalate-metal complexes, leading to a decrease in oxalate after sunrise in the particles. Metals play an important role in the production and degradation of oxalate, providing insights for the evaluation of metals in the formation processes of organic aerosol in field studies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Lingyu Wang, Baolei Lyu, Yuqi Bai
Summary: Aerosol vertical structures are analyzed through spatial clustering of CALIOP aerosol profiles using a fuzzy k-means method. Results show that normalized aerosol profiles provide insights into aerosol vertical structure patterns.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Tingting Liao, Ke Gui, Yingfang Li, Xinying Wang, Yang Sun
Summary: Different types of aerosols in Southwest China exhibit distinct vertical distributions and seasonal variations, largely influenced by human emissions and biomass burning. Polluted continental/smoke and polluted dust are major aerosol sources, but have shown a decline since 2013, likely due to stricter regulations on industry emissions and biomass burning. This study provides important insights into the regional aerosol characteristics and their evolution over time, contributing to a better understanding of trans-regional aerosol transport and climate effects in the region.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Maria-Elissavet Koukouli, Konstantinos Michailidis, Pascal Hedelt, Isabelle A. Taylor, Antje Inness, Lieven Clarisse, Dimitris Balis, Dmitry Efremenko, Diego Loyola, Roy G. Grainger, Christian Retscher
Summary: This paper presents the extensive verification of the S5P SO2 layer height (S5P+I: SO2LH) product over major recent volcanic eruptions, as well as assesses its impact on volcanic forecasts. The results show good agreement between the S5P and IASI observations, and the assimilation of the S5P SO2 LH product improves model output and the geographical spread of volcanic plumes.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Environmental Sciences
Gang Zhao, Tianyi Tan, Shuya Hu, Zhuofei Du, Dongjie Shang, Zhijun Wu, Song Guo, Jing Zheng, Wenfei Zhu, Mengren Li, Limin Zeng, Min Hu
Summary: This study investigates the size distributions of black carbon (BC) particles in urban, suburban, and background sites in China. The results show that the BC particles were composed of thinly or thickly coated aerosols. The mean number fractions of thinly coated BC aerosols were highest in the suburban site and lowest in the background site. The study also found that about 10% of the BC-containing aerosols were attached to non-BC components. These findings can be used in modeling studies to better understand the uncertainties of the BC radiative effects.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Geosciences, Multidisciplinary
Sajani Surendran, K. V. Ajay Anand, Suraj Ravindran, Kavirajan Rajendran
Summary: Evaluation of century-long simulations of the CESM shows the model's ability to capture characteristics related to aerosols, clouds, convection, rainfall, and circulation over India during the summer monsoon season. The simulations reveal that aerosols have an indirect effect on warming the atmosphere and exacerbating the severity of breaks in the summer monsoon season, with dust aerosols playing a significant role.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
A. Masoumi, R. Moradhaseli
Summary: The level 2 aerosol profile data of the CALIOP lidar were used to study dust events in the Khuzestan region from 2006 to 2020. The data revealed the presence of intense dust throughout the region's atmosphere, especially near the surface. Three main corridors for dust entry into the region were identified, with the Tigris-Euphrates basin being the most significant source, followed by the Arabian Peninsula. Dust events from the Arabian Peninsula were more severe and had coarser particles compared to the other sources due to differences in soil characteristics.
ATMOSPHERIC RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Jinghao Zhai, Xin Yang, Ling Li, Xingnan Ye, Jianmin Chen, Tzung-May Fu, Lei Zhu, Huizhong Shen, Jianhuai Ye, Chen Wang, Shu Tao
Summary: The addition of coating to black carbon enhances its absorption, with secondary inorganic species playing a critical role in the coating materials to enhance the lensing effect.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Multidisciplinary Sciences
Jiandong Wang, Jiaping Wang, Runlong Cai, Chao Liu, Jingkun Jiang, Wei Nie, Jinbo Wang, Nobuhiro Moteki, Rahul A. Zaveri, Xin Huang, Nan Ma, Ganzhen Chen, Zilin Wang, Yuzhi Jin, Jing Cai, Yuxuan Zhang, Xuguang Chi, Bruna A. Holanda, Jia Xing, Tengyu Liu, Ximeng Qi, Qiaoqiao Wang, Christopher Poehlker, Hang Su, Yafang Cheng, Shuxiao Wang, Jiming Hao, Meinrat O. Andreae, Aijun Ding
Summary: The authors propose a unified theoretical framework for describing the mixing state of black carbon, and discover a universal law that can greatly improve the accuracy of estimating the climate effect of black carbon in most climate/atmospheric chemistry models.
NATURE COMMUNICATIONS
(2023)
Article
Meteorology & Atmospheric Sciences
Bing Tong, Jianping Guo, Yinjun Wang, Jian Li, Yuxing Yun, Raman Solanki, Ning Hu, Honglong Yang, Huirong Li, Jianghua Su, Qianshan He, Yue Zhou, Kui Zhang, Yong Zhang
Summary: Turbulence kinetic energy (TKE) varies with different convection regimes and shows different trends under different atmospheric stability conditions. The correlation between TKE and related variables is influenced by the convective regime, but the correlation trends between TKE and specific variables (BP and SP) are similar across the four tower sites. This study highlights the importance of considering different convection regimes when investigating TKE characteristics.
ATMOSPHERIC RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Tianmeng Chen, Jianping Guo, Bing Tong, Jason Blake Cohen, Xinyan Chen, Yuxing Yun, Min Lv, Xiaoran Guo, Seoung Soo Lee
Summary: This study examines the impact of temperature inversion (TI) on the dynamic and thermodynamic processes of the planetary boundary layer (PBL), particularly its relationship with synoptic systems. Using nine years of high-resolution radiosonde data, the researchers find that surface-based inversions (SBIs) are more related to surface properties, while elevated inversions (EIs) are influenced by the thermodynamic and dynamic characteristics of the atmosphere. A novel method for identifying high-pressure system (HPS) and low-pressure system (LPS) centers is developed. The results demonstrate that pressure gradients are stronger in the presence of TI, especially when HPS or LPS centers approach the observational site from the northwest.
ATMOSPHERIC RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Fen Li, Renkui Wang, Ling Mao, Donghai Zhu, Xu She, Jianping Guo, Shunfu Lin, Yongheng Yang
Summary: Building photovoltaic (PV) in big cities is a growing trend, but the lack of measured radiation data on vertical surface is a challenge. This study reviews ten solar radiation models to find the optimal one for calculating solar radiation on vertical surface in high turbidity areas like Beijing. The accuracy of the models is also examined in relation to atmospheric turbidity. The results suggest that the Perez model is suitable for calculating solar radiation, but high atmosphere turbidity may affect its accuracy. The study provides guidance for the deployment of building PV systems in Beijing, with an estimated annual AC output energy of 630-971 kWh/kWp.
IET RENEWABLE POWER GENERATION
(2022)
Article
Environmental Sciences
Bing Tong, Hui Xu, Robert Horton, Lingen Bian, Jianping Guo
Summary: This study determines the soil apparent thermal diffusivity (k) using the conduction-convection method based on the near-surface soil temperature measured at three sites on the Tibetan Plateau from 2014 to 2016. The hourly, daily, and monthly k values were obtained, showing variations among different sites and years. The relationship between k and soil moisture was found to be consistent with previous studies, except when soil temperature was below 0 degrees Celsius. The results also demonstrated a significant correlation between k and the Normalized Difference Vegetation Index.
Article
Meteorology & Atmospheric Sciences
Jian Zhang, Jianping Guo, Jian Li, Jia Shao, Bing Tong, Shaodong Zhang
Summary: Differentiating local-scale precipitation and nonlocal-scale precipitation and understanding their corresponding prestorm environment are crucial for accurate severe weather prediction. This study investigates the precursor signals of local-scale precipitation and their differences from those of nonlocal-scale precipitation, and proposes an effective prediction method for precipitation types.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
Tian Xian, Jianping Guo, Runze Zhao, Tianning Su, Zhanqing Li
Summary: This study investigates the influence of urbanization on mesoscale convective systems (MCS) in the Yangtze River Delta region in China under different synoptic conditions using various observations. The results show that the strength of synoptic forcing can help distinguish the effects of land cover and land use on MCS. When synoptic-scale forcing is weak, the urban heat island (UHI) is the main factor affecting cloud development. On the other hand, when strong synoptic-scale forcing is present, buildings in cities cause clouds to bifurcate upwind of cities. The combined analysis of observations and model simulations provides new insights into the net effects of urbanization on cloud systems.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Xinyuan Feng, Zhengzi Zhang, Jianping Guo, Shigong Wang
Summary: The Sichuan Basin is one of the most air-polluted areas in China, and this study investigates the formation and evolution of multilayer inversions during persistent heavy pollution events in the region. The results show that over 90% of the events included multilayer inversions, occurring near the ground and at heights of approximately 2000-3800 m above the ground. These inversions were influenced by large-scale pressure patterns and mid-level warm air advection induced by warm high-pressure ridges. Cold advection associated with cold low-pressure troughs played a role in weakening and ending the inversions.
ATMOSPHERIC RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Xiaoran Guo, Jianping Guo, Da-Lin Zhang, Yuxing Yun
Summary: This study derives horizontal divergence (and vertical motion) profiles from horizontal wind measurements obtained from two radar wind-profiler (RWP) mesonets in East China, and examines their relationship with convection initiation (CI) occurring within one mesonet and an intense squall line moving across another mesonet. The results show that the RWP mesonets, along with automated surface observations, can realistically provide lower-tropospheric profiles of horizontal divergence (and upward motion) associated with CI and the evolution of the squall line. High-resolution surface observations resolve better divergence induced by localized CI, while the RWP measurements capture significant convergence before the onset of squall precipitation. Statistical analysis indicates that lower-tropospheric convergence can be detected up to about 40 minutes in advance of heavy rainfall, with higher correlation closer to the heavy rainfall time. Approximately 40% of heavy rainfall moments are accompanied by strong convergence signals occurring mostly near the top of the boundary layer. This work suggests that integrating RWP and surface wind measurements can aid in nowcasting the location and timing of CI and the development of convective storms.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2023)
Article
Environmental Sciences
Pan Xia, Min Min, Yu Yu, Yun Wang, Lu Zhang
Summary: A portable and fast cloud mask algorithm (FCMA) is developed in this study to provide near real-time cloud cover products for PV plants. The results show that FCMA has slightly higher detection accuracy than OCMA, demonstrating the feasibility of FCMA for providing near real-time cloud cover at PV plants.
Article
Environmental Sciences
Lei Zhang, Minghu Ding, Xiangdong Zheng, Junming Chen, Jianping Guo, Lingen Bian
Summary: This study evaluates the errors and representativeness of the Atmospheric Infrared Sounder (AIRS) version 6 (v6) and version 7 (v7) temperature profiles in the Arctic region. The results show that v7 has smaller biases in the troposphere compared to v6, but the profile-averaged root mean square error (RMSE) increased in v7, particularly in winter. The accuracy of AIRS temperature retrieval is primarily influenced by surface type and cloud fraction.
Article
Environmental Sciences
Yizhi Wu, Jianping Guo, Tianmeng Chen, Aijun Chen
Summary: Data-driven machine learning technology combined with the radar wind profile (RWP) observational network in China, cloud properties, and reanalysis data, can effectively predict severe weather, especially in rainfall grade forecast, indicating the great potential of RWP measurements in improving the convection prediction skill.
Article
Environmental Sciences
Zheng Ma, Zhenglong Li, Jun Li, Min Min, Jianhua Sun, Xiaocheng Wei, Timothy J. J. Schmit, Lidia Cucurull
Summary: A storm tracking and nowcasting model was developed for the contiguous US by combining observations from ABI and NWP short-range forecast data, along with the precipitation rate from CMORPH. The optimized models showed higher accuracy for severe storms with larger areas, while models with sample-balancing applied had higher possibilities of detection. The model successfully provided warnings of heavy rainfall with a lead time of 1-2 hours in a typical convective event.
Article
Meteorology & Atmospheric Sciences
Cailing Zhao, Xianhong Meng, Lin Zhao, Jianping Guo, Yueqing Li, Huizhi Liu, Zhaoguo Li, Bo Han, Shihua Lyu
Summary: In this study, the energy mechanism of atmospheric boundary layer (ABL) development over the Tibetan Plateau (TP) was analyzed using intensive sounding observation data. The results showed that surface sensible heat flux, boundary layer entrainment energy, and heat flux at the top of the ABL affected ABL growth. The accumulated sensible heat flux played the most crucial role in ABL development.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Environmental Sciences
Boming Liu, Xin Ma, Jianping Guo, Hui Li, Shikuan Jin, Yingying Ma, Wei Gong
Summary: Accurate estimation of wind speed at wind turbine hub height is important for wind energy assessment and exploitation. The traditional power law method (PLM) can lead to uncertainties, especially under unstable conditions. In this study, a random forest (RF) machine learning algorithm is used to estimate wind speeds at hub heights beyond the traditional limit of 100-120 m. The RF model shows advantages over the PLM model, considering factors such as surface friction and heat transfer. The findings have implications for the wind energy industry.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
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)