Article
Meteorology & Atmospheric Sciences
Takashi Sekiya, Kazuyuki Miyazaki, Henk Eskes, Kengo Sudo, Masayuki Takigawa, Yugo Kanaya
Summary: This study provides a comprehensive comparison of the TROPOMI and OMI instruments in assessing tropospheric NO2 column through global chemical data assimilation. The results demonstrate that TROPOMI outperforms OMI in terms of smaller observation errors and improved global analyses of NO2 and ozone. TROPOMI also provides city-scale emission estimates and contributes to the evaluation of detailed spatial and temporal variations in ozone and nitrate aerosols.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Environmental Sciences
Hyung Joo Lee, Yang Liu, Robert B. Chat
Summary: This study used TROPOMI data and land use information to estimate long-term average ambient NO2 concentrations in California for the years 2018-2019 at a spatial resolution of 500 m. The satellite-land use regression model achieved high predictive power with a cross-validation R2 of 0.76 and low errors in comparison with measured NO2 concentrations. The study also found that the representativeness of ground NO2 monitors varied across counties in California and identified specific property types associated with high NO2 concentrations.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Review
Environmental Sciences
M. Joana Fernandes, Clara Lazaro, Telmo Vieira
Summary: Satellite radar altimetry is a powerful technique for Earth Observation, with applications in studying sea level change, ice sheets melting, and managing coastal zones and water resources. This paper provides an overview of the effects of the troposphere in altimetry range observations, discussing relevant theory, retrieval methods, problems in coastal and inland water regions, errors in altimeter products, and future challenges in estimation.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Hyo-Jung Lee, Lim-Seok Chang, Daniel A. Jaffe, Juseon Bak, Xiong Liu, Gonzalo Gonzalez Abad, Hyun-Young Jo, Yu-Jin Jo, Jae-Bum Lee, Cheol-Hee Kim
Summary: Satellite measurements show consistent increase in ozone levels across the Asia-Pacific region, with most regions transitioning to NOx-limited ozone chemistry while some major cities still experience NOx-saturated conditions. Short-term VOC and NOx controls are needed to reduce ozone levels. IPCC predicts that NOx saturation will continue until 2025, with a gradual shift to NOx-limited regimes by 2050. Continued reductions in NOx emissions will be crucial for long-term ozone reduction.
Article
Environmental Sciences
Solomiia Kurchaba, Jasper van Vliet, Fons J. Verbeek, Cor J. Veenman
Summary: This study presents a methodology for the automated selection of potentially non-compliant ships using machine learning models on TROPOMI satellite data. The approach involves predicting the amount of NO2 produced by a ship using a regression model and comparing it with actual observations to determine the worthiness of inspection. The results are compared with a segmentation-based method to further identify ships that require attention.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Solomiia Kurchaba, Jasper van Vliet, Fons J. Verbeek, Jacqueline J. Meulman, Cor J. Veenman
Summary: The shipping industry is a major contributor to NOx emissions, which are harmful to human health and the environment. Current methods for monitoring ship emissions are expensive and limited in scope, making global and continuous monitoring difficult. This study introduces a promising approach using remote sensing data to automatically estimate NO2 emissions from individual ships, resulting in improved accuracy compared to previous methods. This work is a crucial step towards developing an automated procedure for global ship emission monitoring using remote sensing data.
Article
Geosciences, Multidisciplinary
John Douros, Henk Eskes, Jos van Geffen, K. Folkert Boersma, Steven Compernolle, Gaia Pinardi, Anne-Marlene Blechschmidt, Vincent-Henri Peuch, Augustin Colette, Pepijn Veefkind
Summary: This article introduces the application of Sentinel-5P TROPOspheric Monitoring Instrument (TROPOMI) and Copernicus Atmosphere Monitoring Service (CAMS) in atmospheric quality forecasting. By comparing the observations from TROPOMI with the forecasts from CAMS, it is found that they agree well in summer but show significant discrepancies in winter. The article also discusses the use of profile information from the CAMS configuration of the ECMWF global model and the replacement of global configuration with regional configuration to improve the TROPOMI data product.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Environmental Sciences
Truong Xuan Ngo, Hieu Dang Trung Phan, Thanh Thi Nhat Nguyen
Summary: The aim of this study was to create daily ground-level NO2 maps for Vietnam spanning from 2019 to 2021. Various machine learning models were used to process satellite NO2 data, meteorological and land use maps, and ground measurement NO2 data. The LightGBM model was found to be the most effective, producing accurate results compared to ground truth measurements. The annual average NO2 maps obtained by the LightGBM model for Vietnam showed superior quality when compared to a global product and ground stations.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Sciences
Minsu Kim, Dominik Brunner, Gerrit Kuhlmann
Summary: This study successfully generated high-resolution hourly maps of near-surface NO2 concentrations over a two-year period (June 2018 to May 2020) using a combination of multiple data sources and machine learning models, showing particularly strong performance in urban regions with dense sampling. The spatial and temporal information provided by satellite observations offers new insights into near-surface air pollution conditions, revealing previously unresolved variations.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Lim-Seok Chang, Donghee Kim, Hyunkee Hong, Deok-Rae Kim, Jeong-Ah Yu, Kwangyul Lee, Hanlim Lee, Daewon Kim, Jinkyu Hong, Hyun-Young Jo, Cheol-Hee Kim
Summary: The study evaluated urban air quality in Seosan, South Korea using GMAP-2020 measurements, and found that the correlation between PC-NO2 and SI-NO2 measurements was influenced by meteorological conditions, with improved correlations through combined analysis.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Environmental Sciences
Lei Jiang, Haifeng Zhou, Shixiong He, Yuanzheng Cui, Jionghua Wang
Summary: The study finds that NO2 pollution exhibits significant and positive spatial autocorrelation, indicating spatial spillovers of NO2 pollution. Lebanon, Bangladesh, Kyrgyzstan, and India experienced the largest increase of NO2 pollution while NO2 pollution in Singapore, Hungary, Greece, and Ukraine was substantially reduced. The results of the dynamic spatial panel data models show that both the time dynamics effects and the spatial spillover effects are found to be significant and positive.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Andrey K. Savtchenko, Mohammad G. Khayat
Summary: Analysis of NASA satellite data reveals that economic activity has a certain degree of correlation with nitrogen dioxide (NO2) emissions, but economic changes can only explain part of the NO2 variability, which is only apparent after seasonal factors are excluded. Additionally, it is found that reducing emissions may have a climate impact.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Nicola Amoroso, Roberto Cilli, Tommaso Maggipinto, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
Summary: The COVID-19 pandemic has spread worldwide since 2020, with significant variations in mortality rates between countries. Through satellite remote sensing data analysis, a statistical association was found between air pollution (NO2) and COVID-19 mortality, along with the impact of socio-economic factors such as the number of nurses, hospital beds, and GDP per capita.
ENVIRONMENTAL RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Donghui Li, Kai Qin, Jason Blake Cohen, Qin He, Shuo Wang, Ding Li, Xiran Zhou, Xiaolu Ling, Yong Xue
Summary: This study estimated daily NS-NO2 in Mainland China from 2014 to 2018 using a machine learning method combined with satellite data, showing good fit and reduced underestimation in high concentration areas and overestimation in low concentration areas. The estimated NS-NO2 is consistent with surface observations and successfully captures inter-annual changes and seasonal characteristics, with a significant decline in pollution exposure levels observed from 2014 to 2018.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Geosciences, Multidisciplinary
Jerry R. Ziemke, Natalya A. Kramarova, Stacey M. Frith, Liang-Kang Huang, David P. Haffner, Krzysztof Wargan, Lok N. Lamsal, Gordon J. Labow, Richard D. McPeters, Pawan K. Bhartia
Summary: Satellite measurements from NASA show that the ozone levels in the Northern Hemisphere during spring-summer periods in 2020 and 2021 were lower than normal, likely due to reduced pollution. Similar ozone reductions were also observed in the Southern Hemisphere during austral summer, but not associated with reduced pollution.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Geography, Physical
Linlu Mei, Vladimir Rozanov, Ziti Jiao, John P. Burrows
Summary: A generalized and flexible snow BRDF model is proposed, which accurately describes the anisotropic properties of snow in different observation conditions.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Meteorology & Atmospheric Sciences
M. Wendisch, M. Brueckner, S. Crewell, A. Ehrlich, J. Notholt, C. Luepkes, A. Macke, J. P. Burrows, A. Rinke, J. Quaas, M. Maturilli, V. Schemann, M. D. Shupe, E. F. Akansu, C. Barrientos-Velasco, K. Baerfuss, A-M Blechschmidt, K. Block, I. Bougoudis, H. Bozem, C. Boeckmann, A. Bracher, H. Bresson, L. Bretschneider, M. Buschmann, D. G. Chechin, J. Chylik, S. Dahlke, H. Deneke, K. Dethloff, T. Donth, W. Dorn, R. Dupuy, K. Ebell, U. Egerer, R. Engelmann, O. Eppers, R. Gerdes, R. Gierens, I. V. Gorodetskaya, M. Gottschalk, H. Griesche, V. M. Gryanik, D. Handorf, B. Harm-Altstaedter, J. Hartmann, M. Hartmann, B. Heinold, A. Herber, H. Herrmann, G. Heygster, I. Hoeschel, Z. Hofmann, J. Hoelemann, A. Huenerbein, S. Jafariserajehlou, E. Jaekel, C. Jacobi, M. Janout, F. Jansen, O. Jourdan, Z. Juranyi, H. Kalesse-Los, T. Kanzow, R. Kaethner, L. L. Kliesch, M. Klingebiel, E. M. Knudsen, T. Kovacs, W. Koertke, D. Krampe, J. Kretzschmar, D. Kreyling, B. Kulla, D. Kunkel, A. Lampert, M. Lauer, L. Lelli, A. von Lerber, O. Linke, U. Loehnert, M. Lonardi, S. N. Losa, M. Losch, M. Maahn, M. Mech, L. Mei, S. Mertes, E. Metzner, D. Mewes, J. Michaelis, G. Mioche, M. Moser, K. Nakoudi, R. Neggers, R. Neuber, T. Nomokonova, J. Oelker, I. Papakonstantinou-Presvelou, F. Paetzold, V. Pefanis, C. Pohl, M. van Pinxteren, A. Radovan, M. Rhein, M. Rex, A. Richter, N. Risse, C. Ritter, P. Rostosky, V. V. Rozanov, E. Ruiz Donoso, P. Saavedra Garfias, M. Salzmann, J. Schacht, M. Schaefer, J. Schneider, N. Schnierstein, P. Seifert, S. Seo, H. Siebert, M. A. Soppa, G. Spreen, I. S. Stachlewska, J. Stapf, F. Stratmann, I. Tegen, C. Viceto, C. Voigt, M. Vountas, A. Walbroel, M. Walter, B. Wehner, H. Wex, S. Willmes, M. Zanatta, S. Zeppenfeld
Summary: The (AC)(3) project, established in 2016, collected a wealth of data on the physical, chemical, and meteorological properties of the Arctic atmosphere, cryosphere, and upper ocean. Short-term changes and long-term trends in Arctic climate parameters have been identified, such as increased atmospheric moistening, regional storm activities, winter warming in specific regions, and decreasing sea ice thickness and snow depth on sea ice. The project also made advancements in atmospheric-ocean and radiative transfer models, and discovered local marine/biogenic sources for cloud condensation nuclei and ice nucleating particles. Cross-cutting activities are being developed to further synthesize the results and answer key questions.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2023)
Article
Meteorology & Atmospheric Sciences
Kai Krause, Folkard Wittrock, Andreas Richter, Dieter Busch, Anton Bergen, John P. Burrows, Steffen Freitag, Olesia Halbherr
Summary: Inland ships are a significant source of NOx emissions, especially for cities located along busy waterways. This study presents a new approach to calculating the NOx emission rates from in situ measurement station data. The emission rates were examined with respect to ship speed, size, and direction of travel, and found to be similar in magnitude to previous studies' emission factors. These emission rates can be directly used to investigate the impact of ship traffic on air quality.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)
Article
Meteorology & Atmospheric Sciences
Kezia Lange, Andreas Richter, Anja Schoenhardt, Andreas C. Meier, Tim Boesch, Andre Seyler, Kai Krause, Lisa K. Behrens, Folkard Wittrock, Alexis Merlaud, Frederik Tack, Caroline Fayt, Martina M. Friedrich, Ermioni Dimitropoulou, Michel Van Roozendael, Vinod Kumar, Sebastian Donner, Steffen Doerner, Bianca Lauster, Maria Razi, Christian Borger, Katharina Uhlmannsiek, Thomas Wagner, Thomas Ruhtz, Henk Eskes, Birger Bohn, Daniel Santana Diaz, Nader Abuhassan, Dirk Schuttemeyer, John P. Burrows
Summary: During the S5P-VAL-DE-Ruhr campaign, airborne imaging DOAS, ground-based stationary DOAS, and car DOAS measurements were conducted to validate the NO2 tropospheric VCD data products from TROPOMI. The results show that the underestimation of the TROPOMI NO2 VCD product can be significantly improved.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)
Article
Geosciences, Multidisciplinary
Linlu Mei, Vladimir Rozanov, Alexei Rozanov, John P. Burrows
Summary: Since 1994, the SCIATRAN model, developed at the Institute of Environmental Physics (IUP) at the University of Bremen, has been continuously improved and new versions have been released. It is widely used for remote sensing applications related to atmospheric trace gases, aerosols, clouds, and surfaces. This paper provides an overview of the CAS databases and models implemented in the SCIATRAN software package (V4.6) and offers recommendations on their usage.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Environmental Sciences
Chuan-Yao Lin, Wan-Chin Chen, Yi-Yun Chien, Charles C. K. Chou, Chian-Yi Liu, Helmut Ziereis, Hans Schlager, Eric Forster, Florian Obersteiner, Ovid O. Kruger, Bruna A. Holanda, Mira L. Poehlker, Katharina Kaiser, Johannes Schneider, Birger Bohn, Klaus Pfeilsticker, Benjamin Weyland, Maria Dolores Andres Hernandez, John P. Burrows
Summary: A long-range biomass burning event on 19 March 2018 had a significant environmental impact on surrounding areas in Asia, as indicated by elevated concentrations of various chemical species. Modeling results revealed that biomass burning aerosols from Indochina had a substantial impact on downstream regions, particularly in southern China, Taiwan, and the East China Sea.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Meteorology & Atmospheric Sciences
Oliver Schneising, Michael Buchwitz, Jonas Hachmeister, Steffen Vanselow, Maximilian Reuter, Matthias Buschmann, Heinrich Bovensmann, John P. Burrows
Summary: The TROPOMI instrument on the Sentinel-5 Precursor satellite enables accurate determination of atmospheric methane and carbon monoxide abundances. This study presents recent improvements in the retrieval algorithm and data coverage, showing accelerated growth of atmospheric methane in the past two years.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)
Article
Meteorology & Atmospheric Sciences
Miriam Latsch, Andreas Richter, Henk Eskes, Maarten Sneep, Ping Wang, Pepijn Veefkind, Ronny Lutz, Diego Loyola, Athina Argyrouli, Pieter Valks, Thomas Wagner, Holger Sihler, Michel van Roozendael, Nicolas Theys, Huan Yu, Richard Siddans, John P. Burrows
Summary: Clouds have a significant impact on satellite measurements of tropospheric trace gases. Different cloud retrieval algorithms have been compared, and it was found that the cloud parameters show qualitative consistency and good agreement in the latest versions of the data, with some differences in small-scale cloud heights.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Meteorology & Atmospheric Sciences
Carlo Arosio, Alexei Rozanov, Victor Gorshelev, Alexandra Laeng, John P. Burrows
Summary: This study presents an error budget assessment for the ozone profiles retrieved at the University of Bremen and aims to quantify and analyze the error characteristics through limb observations of the OMPS-LP SNPP satellite instrument. The study discusses contributions from retrieval parameters and also takes into account errors originating from model approximations and spectroscopic data. The estimated errors are classified as random or systematic and correlations between errors from different sources are investigated. The study provides estimations of the total random and systematic uncertainties on the retrieved ozone profiles, as well as an ex-post assessment of the uncertainties using self-collocated observations and collocated MLS data.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Meteorology & Atmospheric Sciences
Jonas Hachmeister, Oliver Schneising, Michael Buchwitz, Alba Lorente, Tobias Borsdorff, John P. Burrows, Justus Notholt, Matthias Buschmann
Summary: This study evaluates the performance of two S5P XCH4 data products over Greenland and finds correlations between observed features and topography data, highlighting the importance of topography data for retrieving dry-air mole fractions.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Environmental Sciences
Ovid O. Krueger, Bruna A. Holanda, Sourangsu Chowdhury, Andrea Pozzer, David Walter, Christopher Poehlker, Maria Dolores Andres Hernandez, John P. Burrows, Christiane Voigt, Jos Lelieveld, Johannes Quaas, Ulrich Poeschl, Mira L. Poehlker
Summary: The first lockdown of the COVID-19 pandemic led to a significant reduction in human activities, creating unprecedented atmospheric conditions. By measuring vertical profiles of black carbon (BC) aerosol particles, we found a substantial decrease in BC mass concentrations and particle number concentrations. Model simulations showed that meteorological conditions and flight patterns contributed to a portion of the BC mass concentration reduction, but about 41% of the reduction can be attributed to reduced anthropogenic emissions.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Meteorology & Atmospheric Sciences
Gaia Pinardi, Michel Van Roozendael, Francois Hendrick, Andreas Richter, Pieter Valks, Ramina Alwarda, Kristof Bognar, Udo Friess, Jose Granville, Myojeong Gu, Paul Johnston, Cristina Prados-Roman, Richard Querel, Kimberly Strong, Thomas Wagner, Folkard Wittrock, Margarita Yela Gonzalez
Summary: This paper reports on the validation of atmospheric OClO data using both ground-based and satellite measurements, showing good agreement in terms of inter-annual variability and seasonal behavior.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Environmental Sciences
Kezia Lange, Andreas Richter, John P. Burrows
Summary: Satellite observations can be used to monitor short-term variability of nitrogen oxide emissions at city scales, and this study reveals clear seasonal and geographic dependence of these emissions. During the Covid-19 lockdown, significant reductions in emissions were observed in certain cities.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
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)
