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
Meteorology & Atmospheric Sciences
Xueying Cheng, Li Yi, Joerg Bendix
Summary: Cloud top height (CTH) is crucial in Earth's radiation budget and climate change. This study examines the impact of higher-resolution imagery (MODIS) on CTH retrieval, proposing a method combining CETH and cloud top brightness temperature for improved accuracy. Validation over the Arctic Ocean using CALIPSO and radiosonde data shows that the cloud-shadow method (CSM) performs better than operational MODIS CTH product, especially for double-deck cloud systems.
ATMOSPHERIC RESEARCH
(2021)
Article
Environmental Sciences
Ming Zhang, Lei Zhang, Qingqing He, Yanbin Yuan
Summary: The study evaluated the performance of the MODIS C6.1 3 km AOD product over China, finding that the C6.1_3km product outperformed the C6_3km product in urban areas and showed similar performance to the C6.1_10km product. However, there still exists an overestimation of AOD values over urban areas in the C6.1_3km aerosol product, and refinement of the DT algorithm is needed for further improvement.
ATMOSPHERIC ENVIRONMENT
(2022)
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
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
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
Wenjing Xu, Daren Lyu
Summary: The Tibetan Plateau plays a significant role in influencing atmospheric circulation and climate systems through its clouds. Despite challenges in retrieving cloud properties due to the high altitude and complex terrain, comparison between AGRI and MODIS showed discrepancies in cloud detection and cloud top height retrievals, with AGRI tending to miss lower clouds and underestimating cloud top height compared to MODIS.
Article
Environmental Sciences
Prasenjit Acharya, Gunadhar Barik, Bijoy Krishna Gayen, Somnath Bar, Arabinda Maiti, Ashis Sarkar, Surajit Ghosh, Sikhendra Kisor De, S. Sreekesh
Summary: This study analyzed the impact of global economic shutdown on Aerosol Optical Depth (AOD) and found a significant reduction of AOD in majority areas during the lockdown period. However, clusters of increased AOD were observed in certain regions. Reductions in nitrogen dioxide (NO2) ranged from 20-40%, while sulfur dioxide (SO2) emissions increased up to 30% in most areas. Weekly anomaly showed notable space-time variation.
ENVIRONMENTAL RESEARCH
(2021)
Article
Physics, Multidisciplinary
Adarsh Kumar
Summary: The study focused on investigating the seasonal, temporal, and spatial variations of aerosol optical depths (AODs) over major cities in South-West India. Analysis of MODIS sensor data from 2003-2012 revealed higher AOD values in Mumbai, Ahmedabad, and Kolkata, and lower values in Bengaluru. The study also found a positive correlation between AOD and cloud cover fraction in the selected regions.
INDIAN JOURNAL OF PHYSICS
(2022)
Article
Environmental Sciences
Shuai Yin
Summary: This study explores the relationship between ground-measured surface particle concentrations and remote-sensing aerosol parameters in China. It integrates PM2.5 and PM10 concentrations with MODIS-retrieved AOD and AE data, considering meteorological and topographical factors and seasonality. The study finds strong spatial disparity and seasonal patterns in PM concentrations and aerosol parameters in China. The implementation of clean air actions and policies has led to a significant decline in particle concentrations from 2015 to 2018. The study also reveals the influence of meteorological and topographic factors on the PM/AOD ratio and the variations of PM-AOD correlation in different regions of China.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Rehana Khan, Kanike Raghavendra Kumar, Tianliang Zhao, Waheed Ullah, Gerrit de Leeuw
Summary: The study investigated the spatiotemporal evolution and trends in aerosol optical depth (AOD) over environmentally distinct regions in Pakistan from 1980 to 2018, revealing significant seasonal variations in AOD across different regions and attributing the increase in AOD to population growth and emissions. The study also observed a significant decrease in AOD in the northern regions during winter and spring, while an increase in AOD over the central to lower Indus Basin is linked to dust particles from the desert. Furthermore, a comparison between the MERRA-2 and MODIS trends from 2002 to 2018 showed visible differences in AOD datasets due to the use of different versions and collection methods.
Article
Environmental Sciences
Alaa Mhawish, Meytar Sorek-Hamer, Robert Chatfield, Tirthankar Banerjee, Muhammad Bilal, Manish Kumar, Chandan Sarangi, Meredith Franklin, Khang Chau, Michael Garay, Olga Kalashnikova
Summary: The study found an increasing trend in aerosol loading over South Asia from 2000 to 2019, with the highest aerosol loading observed during the monsoon season. Natural aerosol emissions and local anthropogenic emissions were identified as the main drivers of high AOD during monsoon and pre-monsoon seasons. High humidity during the monsoon season favored the hygroscopic growth of particles, leading to higher AOD values. The high spatial resolutions of MODIS/MAIAC and MISR aerosol products enabled the identification of previously unobserved aerosol hotspots.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Somaya Falah, Alaa Mhawish, Ali H. Omar, Meytar Sorek-Hamer, Alexei Lyapustin, Tirthankar Banerjee, Fadi Kizel, David M. Broday
Summary: This study examines uncertainties in the retrieval of Aerosol Optical Depth (AOD) for different aerosol types using satellite-borne aerosol retrieval products. The results show systematic differences between CALIOP and MODIS/MAIAC AOD, which are closely related to the reported aerosol types. Considering aerosol type may be useful for predicting surface PM and quantifying the broader environmental impacts of aerosols.
Article
Environmental Sciences
Geng Wei, Long Li, Li-juan Chen, Yong Zha
Summary: Estimating the mass concentration of near-surface atmospheric particulate matter using satellite-derived aerosol optical depth is a common technique. This study examined the impact of the fine-mode fraction (FMF) on the relationship between aerosol optical depth and PM2.5/PM10 in different scenarios. The results showed that FMF had different effects on PM2.5 and PM10 estimation in different seasons.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2022)
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
Meteorology & Atmospheric Sciences
Xinyuan Feng, Shigong Wang, Jianping Guo
Summary: The Sichuan Basin, located adjacent to the Tibetan Plateau, is characterized by frequent lower troposphere inversions (LTIs) above the planetary boundary layer (PBL), which are most frequent in winter. LTIs are orographically induced and diurnally driven inversions, resulting from the combined effects of stratified flows and topographical sheltering. Special weather conditions, such as westerly warm advection and southwesterly warm advection due to topographical forcing and surface heating, play key roles in LTI genesis. The present study provides a foundation for understanding the impacts of LTIs on regional air pollution, weather, and climate in the downstream regions of the Tibetan Plateau.
ATMOSPHERIC RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Jian Zhang, Jianping Guo, Shaodong Zhang, Jia Shao
Summary: This study investigates the global distributions of inertia-gravity waves (IGWs), Kelvin-Helmholtz instability (KHI), and turbulence in the free atmosphere based on high-resolution radiosonde data. The results show that IGW energy density, KHI occurrence frequencies, and turbulence frequencies decrease poleward. The spatial distributions of KHI and turbulence frequencies agree well with pilot reports. Positive correlations are found between IGW energy and KHI/Turbulence frequencies, suggesting that IGW and KHI could be major drivers for turbulence in the free atmosphere.
Article
Environmental Sciences
Siyu Chen, Hongru Bi, Renhe Zhang, Yong Wang, Jianping Guo, Dan Zhao, Yu Chen, Yawen Guan, Zhaoyang Xie
Summary: Dust-cloud-surface radiation interactions have complex nonlinear effects on surface albedo. An analysis of a snow event in Urumqi, China, revealed that both the interaction between dust and clouds and dust deposition on snow contributed to a decrease in snow albedo. This study highlighted the importance of considering the comprehensive effect of dust-cloud-radiation interactions in future research.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Geosciences, Multidisciplinary
Kaixu Bai, Ke Li, Jianping Guo, Wei Cheng, Xiaofeng Xu
Summary: This study assessed the spatiotemporal variability of temperature inversion (TI) and its impact on PM2.5 pollution levels in China using high-resolution radiosonde observations. The results showed that both surface-based inversion (SBI) and elevated inversion (EI) were increasing in frequency, but their intensity was decreasing, leading to a reduction in the PM2.5 increment caused by TI. This highlights the offsetting effect between TI and emission control on haze pollution.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Tianning Su, Zhanqing Li, Youtong Zheng, Tong Wu, Hao Wu, Jianping Guo
Summary: Aerosol-boundary layer interactions have a significant impact on atmospheric thermodynamics and air pollution. This study found that high aerosol loading can suppress the entrainment rate, disrupting the conventional linear relationship between sensible heat fluxes and entrainment fluxes. The vertical distribution of aerosols affects heat fluxes, leading to strong interactions between aerosols and the entrainment process in the upper boundary layer.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2022)
Article
Meteorology & Atmospheric Sciences
Yi Han, Jianping Guo, Hongjin Li, Tianmeng Chen, Xiaoran Guo, Jian Li, Lihui Liu, Lijuan Shi
Summary: This study analyzes the raindrop size distribution (DSD) across China using high-resolution disdrometer measurements. The research reveals a unimodal structure in the monthly mean DSD and an inverse relationship between the mass-weighted mean diameter Dm and the intercept parameter Nw. Comparing stratiform and convective precipitation, it is found that convective precipitation exhibits larger DSD parameters. Additionally, larger CAPE and lower MFD are associated with heavier rain in convective precipitation than stratiform precipitation.
ATMOSPHERIC RESEARCH
(2022)
Article
Geography, Physical
Ke Li, Kaixu Bai, Mingliang Ma, Jianping Guo, Zhengqiang Li, Gehui Wang, Ni-Bin Chang
Summary: This study developed an integrated remote sensing and big data analytics framework to generate spatially gap-free aerosol type grids in China between 2000 and 2020. The results provide fresh evidence of the impact of emission control on haze pollution variations in China. The study also revealed a decrease in the coverage of typical anthropogenic aerosols and dust aerosols over the past two decades.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Sijie Chen, Bowen Tong, Lynn M. Russell, Jing Wei, Jianping Guo, Feiyue Mao, Dong Liu, Zhongwei Huang, Yun Xie, Bing Qi, Huan Zhang, Yingshan Sun, Boran Zhang, Chengkang Xu, Lingyun Wu
Summary: This study proposes a new approach using haze layer height (HLH) and an artificial neural network to improve the accuracy and coverage of hourly PM2.5 estimation. The results show that the ADRN model with HLH achieves the highest performance among 4 machine learning models.
REMOTE SENSING OF ENVIRONMENT
(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
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
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)
