Article
Computer Science, Information Systems
Uzair Aslam Bhatti, Yuhuan Yan, Mingquan Zhou, Sajid Ali, Aamir Hussain, Qingsong Huo, Zhaoyuan Yu, Linwang Yuan
Summary: As Pakistan's economy, transportation, and industry develop, environmental pollution has become a prominent issue, with air quality in Lahore exceeding national standards. There is a strong correlation between particulate matter and other pollutants, with future predictions showing an increase in PM2.5 concentration.
Article
Environmental Sciences
Shuai Wang, Peng Wang, Qi Qi, Siyu Wang, Xia Meng, Haidong Kan, Shengqiang Zhu, Hongliang Zhang
Summary: This article presents a three-stage model framework based on CMAQ simulations and multisource data fusion to estimate daily PM2.5 and PM10 concentrations in China in 2015. The model performs well and shows better agreement with ground observations compared to the CMAQ simulation. These full-coverage PM datasets enable detailed analysis of PM pollution and support future epidemiological studies and health assessments.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Environmental
Aaron van Donkelaar, Melanie S. Hammer, Liam Bindle, Michael Brauer, Jeffery R. Brook, Michael J. Garay, N. Christina Hsu, Olga Kalashnikova, Ralph A. Kahn, Colin Lee, Robert C. Levy, Alexei Lyapustin, Andrew M. Sayer, Randall Martin
Summary: This study developed a methodology for monthly PM2.5 estimates and uncertainties using satellite retrievals, chemical transport modeling, and ground-based measurements. Findings show higher winter PM2.5 concentrations in many densely populated regions, with South Asia and East Asia having particularly high levels, although East Asia showed a decreasing trend in PM2.5 concentrations over the period studied.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Environmental Sciences
Maryam Imani
Summary: This study proposes a framework for PM estimation based on satellite images, using deep neural networks to extract the relationship between satellite image bands and PM measurements. The method successfully generates PM2.5 and PM10 maps for Tehran city, offering a simple, low cost, and efficient approach for small-scaled PM generation using MODIS images.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Chemistry, Multidisciplinary
Silvie Koval, Jiri Vytisk, Jana Ruzickova, Helena Raclavska, Hana Skrobankova, Lucie Hellebrandova
Summary: Residential heating, using solid fuels, is a significant source of ambient air pollution, with variations due to geography, meteorological conditions, fuel type prevalence, and technologies used. Simulation data shows that residential heating is the main air pollution contributor in locations without industrial areas, while actual measurements suggest the involvement of PM long-range or transboundary transports.
APPLIED SCIENCES-BASEL
(2021)
Review
Engineering, Environmental
Javad Torkashvand, Ahamd Jonidi Jafari, Philip K. Hopke, Abbas Shahsavani, Mostafa Hadei, Majid Kermani
Summary: In recent decades, particulate matter concentrations in Tehran have often exceeded the WHO guidelines, with annual average PM10 exceeding the limit and PM2.5 concentration surpassing the 24-hour guidance value for more than 50% of the days. Tehran experiences two seasonal PM peaks and two daily peaks, with factors such as traffic and boundary-layer height changes influencing the pollution levels. The indoor PM concentrations in Tehran are significantly higher than outdoor levels, making it crucial for decision makers to develop effective policies for air quality improvement.
JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE AND ENGINEERING
(2021)
Article
Environmental Sciences
Do-Hyeon Park, Sang-Woo Kim, Man-Hae Kim, Huidong Yeo, Sang Seo Park, Tomoaki Nishizawa, Atsushi Shimizu, Cheol-Hee Kim
Summary: This study developed a novel method to estimate the contributions of long-range transport (LRT) and local pollution (LP) to the PM10 concentration in Seoul, finding that the overall contributions to nighttime high-PM10 episodes were approximately 32% and 47% respectively. The contributions varied with seasonal synoptic circulations, with LRT events contributing between 18% and 43% and LP events between 39% and 69% to the PM10 concentration in Seoul.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Quan Zhou, Shu-Ling Kang, Xin Lin, Xiao-Yang Zhang
Summary: Rapid social development in China has led to severe air pollution and adverse effects on people's health. This study assessed the relationship between air pollutants and asthma-related outpatient and emergency visits in infants and children in Fuzhou city, China. The results showed that sulfur dioxide (SO2) had the highest impact on pediatric respiratory health, with younger children being more affected by air pollution than older children.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Biotechnology & Applied Microbiology
A. Zafra-Perez, C. Boente, A. Sanchez de la Campa, J. A. Gomez-Galan, J. D. de la Rosa
Summary: This study proposes a novel methodology for the space-time monitoring of PM concentrations in open-pit mines using mobile low-cost sensors. The study revealed the main sources of PM within the mine and discovered the routes of escape of fugitive emissions from the mine. These findings are important for solving the monitoring issue in mining ambiances and promoting the environmentally friendly development of mines.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2023)
Article
Meteorology & Atmospheric Sciences
Ismail Sezen, Elif Ercelik, Yusuf Alizade Govarchin Ghale, Ali Deniz, Alper Unal
Summary: High concentrations of particulate matter (PM) have become a major problem in Turkey due to its economic development and geographical proximity to natural dust source areas. This study analyzed PM10 data from 36 ground-based stations in 12 metropolitan cities in Turkey from 2010 to 2020. The results showed that only three cities had PM10 levels below or around the 24-hour Air Quality Guideline (AQG) level of 45 μg/m³ set by the World Health Organization (WHO). The long-term change in PM10 concentration was mostly negative, indicating a decrease in levels in most cities due to reduction in emissions.
ATMOSPHERIC RESEARCH
(2023)
Article
Environmental Sciences
Yafei Li, Yan Han, Simeng Ma, Yufen Zhang, Haoqi Wang, Jingyi Yang, Lu Yao, Xiaohui Bi, Jianhui Wu, Yinchang Feng
Summary: In this study, an episode-based analysis was conducted to investigate the evolution patterns and driving factors of nitrate concentration in air pollution episodes. Three typical patterns were identified and conceptual models were constructed. The study highlights the importance of pattern identification for understanding nitrate evolution behavior and provides insights for pollution prediction and mitigation strategies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Mathematics
Gonzalo Carreno, Xaviera A. Lopez-Cortes, Carolina Marchant
Summary: Air pollution by particulate matter is a major environmental problem in Chile, particularly during the critical episode management periods. This study successfully predicts particulate matter levels in Talca, Chile based on meteorological and climatic features using machine learning techniques. The models developed are effective in managing critical episodes and can be used for alert, pre-emergency, and emergency conditions.
Article
Economics
Hyunkuk Cho
Summary: The study reveals that high concentrations of PM10 during test hours are associated with lower reading test scores, while PM10 levels before and after the test do not have a significant impact on the scores.
AMERICAN JOURNAL OF HEALTH ECONOMICS
(2022)
Article
Environmental Sciences
Shaik Allabakash, Sanghun Lim, Kyu-Soo Chong, Tomohito J. Yamada
Summary: Air pollution is a significant challenge in South Korea and globally, affecting human health and mortality rates. This study assessed the air quality and spatiotemporal characteristics of particulate matter (PM) by comparing PM concentrations with meteorological conditions and other airborne pollutants in South Korea from 2015 to 2020. Different linear and non-linear models were used, revealing the role of meteorological conditions in the formation, transportation, and deposition of air pollutants.
Article
Chemistry, Multidisciplinary
Krittakom Srijiranon, Narissara Eiamkanitchat
Summary: This study established a prediction model to classify the Thailand air quality index, using a neuro-fuzzy model and the minimum entropy principle to transform original data into new features for better classification of PM. Experimental results showed that the proposed model had favorable outcomes in predicting PM levels up to three hours in advance.
APPLIED SCIENCES-BASEL
(2021)
Article
Meteorology & Atmospheric Sciences
Yujin J. Oak, Rokjin J. Park, Duseong S. Jo, Alma Hodzic, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Hwajin Kim, Hyeonmin Kim, Eunjo S. Ha, Chang-Keun Song, Seung-Muk Yi, Glenn S. Diskin, Andrew J. Weinheimer, Donald R. Blake, Armin Wisthaler, Mihee Shim, Yoonmi Shin
Summary: This study investigates the characteristics and formation of secondary organic aerosols (SOA) in Seoul using airborne and ground observations, as well as a global chemical transport model. The study compares different SOA schemes in the model and evaluates their performance by comparing simulations with observations. The results show that the inclusion of semi/intermediate volatile precursors and chemical aging is important for simulating surface SOA concentrations in Seoul.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Meteorology & Atmospheric Sciences
Julia Moemken, Benjamin Koerner, Florian Ehmele, Hendrik Feldmann, Joaquim G. Pinto
Summary: This study investigates the potential impacts of climate change on recurrent drought events in the Iberian Peninsula. Results show that drought conditions in the region are projected to become more severe and recurrent drought events are expected to occur more frequently and last longer under different global warming levels.
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY
(2022)
Article
Meteorology & Atmospheric Sciences
John S. Schreck, Charles Becker, David John Gagne, Keely Lawrence, Siyuan Wang, Camille Mouchel-Vallon, Jinkyul Choi, Alma Hodzic
Summary: This study demonstrates that machine learning can accurately emulate the formation of secondary organic aerosols (SOA) from a chemical model, with a significantly faster speed compared to current models. This has important implications for the use of SOA predictions in chemistry-climate models.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Meteorology & Atmospheric Sciences
Javier Diez-Sierra, Maialen Iturbide, Jose M. Gutierrez, Jesus Fernandez, Josipa Milovac, Antonio S. Cofino, Ezequiel Cimadevilla, Grigory Nikulin, Guillaume Levavasseur, Erik Kjellstrom, Katharina Bulow, Andras Horanyi, Anca Brookshaw, Markel Garcia-Diez, Antonio Perez, Jorge Bano-Medina, Bodo Ahrens, Antoinette Alias, Moetasim Ashfaq, Melissa Bukovsky, Erasmo Buonomo, Steven Caluwaerts, Sin Chan Chou, Ole B. Christensen, James M. Ciarlo, Erika Coppola, Lola Corre, Marie-Estelle Demory, Vladimir Djurdjevic, Jason P. Evans, Rowan Fealy, Hendrik Feldmann, Daniela Jacob, Sanjay Jayanarayanan, Jack Katzfey, Klaus Keuler, Christoph Kittel, Mehmet Levent Kurnaz, Rene Laprise, Piero Lionello, Seth McGinnis, Paola Mercogliano, Pierre Nabat, Tugba Ozturk, Hans-Jurgen Panitz, Dominique Paquin, Ildiko Pieczka, Francesca Raffaele, Armelle Reca Remedio, John Scinocca, Florence Sevault, Samuel Somot, Christian Steger, Fredolin Tangang, Claas Teichmann, Piet Termonia, Marcus Thatcher, Csaba Torma, Erik van Meijgaard, Robert Vautard, Kirsten Warrach-Sagi, Katja Winger, George Zittis, Baris Onol
Summary: The collaboration between CORDEX and ESGF allows open access to regional climate model simulations, which have been used as evidence for assessing regional climate projections in IPCC AR6. The C3S CORDEX dataset, available through the Copernicus Climate Data Store, has been used for the assessment and is consistent for precipitation and temperature.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
Meteorology & Atmospheric Sciences
P. M. M. Soares, J. A. M. Careto, Rita M. Cardoso, Klaus Goergen, Eleni Katragkou, Stefan Sobolowski, Erika Coppola, Nikolina Ban, Danijel Belusic, Segolene Berthou, Cecile Caillaud, Andreas Dobler, Oivind Hodnebrog, Stergios Kartsios, Geert Lenderink, T. Lorenz, Josipa Milovac, Hendrik Feldmann, Emanuela Pichelli, Heimo Truhetz, Marie Estelle Demory, Hylke de Vries, Kirsten Warrach-Sagi, Klaus Keuler, Mario Raffa, Merja Toelle, Kevin Sieck, Sophie Bstin
Summary: The increase in computational resources has led to the emergence of high-resolution regional climate models. By comparing high-resolution simulations with global simulations and lower-resolution models, the added value of the models can be assessed. Although the gains are limited, the improvement in spatial representation can enhance local atmospheric circulations and land-atmosphere interactions, particularly in coastal areas.
Correction
Meteorology & Atmospheric Sciences
Sebastian K. Mueller, Cecile Caillaud, Steven Chan, Hylke De Vries, Sophie Bastin, Segolene Berthou, Erwan Brisson, Marie-Estelle Demory, Hendrik Feldmann, Klaus Goergen, Stergios Kartsios, Petter Lind, Klaus Keuler, Emanuela Pichelli, Mario Raffa, Merja H. Toelle, Kirsten Warrach-Sagi
Article
Meteorology & Atmospheric Sciences
Sebastian K. Mueller, Cecile Caillaud, Steven Chan, Hylke de Vries, Sophie Bastin, Segolene Berthou, Erwan Brisson, Marie-Estelle Demory, Hendrik Feldmann, Klaus Goergen, Stergios Kartsios, Petter Lind, Klaus Keuler, Emanuela Pichelli, Mario Raffa, Merja H. Toelle, Kirsten Warrach-Sagi
Summary: In this study, four different tracking algorithms were compared and evaluated, and it was found that they produced similar results in terms of tracking characteristics, indicating their reliability as atmospheric research analysis tools. The models also showed encouraging performance in comparison to radar-based observations, although there were biases in certain properties.
Article
Agronomy
Xinrui Ge, Martijn Schaap, Enrico Dammers, Mark Shephard, Wim de Vries
Summary: Ammonia is a significant pollutant emitted from agricultural activities, causing harm to human health and biodiversity loss. However, current ammonia emission inventories do not account for spatial and temporal variabilities caused by weather variations and factors like manure properties and application techniques. This study proposes a method using the ALFAM2 model to derive spatially explicit slurry application emission fractions, which significantly improves ammonia emission modeling and is crucial for studying temporal variability between years.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Andreina Belusic Vozila, Danijel Belusic, Maja Telisman Prtenjak, Ivan Guttler, Sophie Bastin, Erwan Brisson, Marie-Estelle Demory, Andreas Dobler, Hendrik Feldmann, Oivind Hodnebrog, Stergios Kartsios, Klaus Keuler, Torge Lorenz, Josipa Milovac, Emanuela Pichelli, Mario Raffa, Pedro M. M. Soares, Merja H. Toelle, Heimo Truhetz, Hylke de Vries, Kirsten Warrach-Sagi
Summary: This study evaluates the wind field from kilometer-scale simulations and emphasizes the added value of convection-permitting models (CPMs) in the Adriatic region. The CPMs provide a more detailed depiction of the wind field, especially in coastal areas and over complex terrain. They show stronger wind extremes and more accurate wind direction compared to coarser models. The potential added value is higher in the cold season due to severe wind events. CPMs also reproduce well the typical wind regimes along the Adriatic coast.
Article
Meteorology & Atmospheric Sciences
J. F. Brewer, D. J. Jacob, S. H. Jathar, Y. He, A. Akherati, S. Zhai, D. S. Jo, A. Hodzic, B. A. Nault, P. Campuzano-Jost, J. L. Jimenez, R. J. Park, Y. J. Oak, H. Liao
Summary: We propose a new Volatility Basis Set (VBS) representation for aromatic Secondary Organic Aerosol (SOA) and apply it to atmospheric chemistry models. Our scheme was able to simulate the observations of organic aerosol (OA) from the KORUS-AQ field campaign better than the default schemes used in GEOS-Chem, showing improved representation of vertical profiles, diurnal cycle, and partitioning between hydrocarbon-like OA and oxidized OA. Our results confirm the significant contributions of oxidized primary OA, aromatic SOA, and semi- and intermediate volatile organic compounds (S/IVOCs) to the OA budget in South Korea.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Camille Mouchel-Vallon, Alma Hodzic
Summary: This study explores the possibility of using a random forest model to predict the formation of secondary organic aerosols (SOA) in the atmosphere. By creating a comprehensive dataset based on thousands of detailed simulations, random forest models were trained to predict organic matter formation from dodecane and toluene precursors, as well as the partitioning between gas and particle phases. Validation tests showed that the random forest models performed well without any divergence over a 10-day simulation period. The choice of predictors, such as information about the chemical regime, oxidants levels, and existing organic mass, was found to be crucial for the performance of the models.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Geosciences, Multidisciplinary
Patrick Ludwig, Florian Ehmele, Mario J. Franca, Susanna Mohr, Alberto Caldas-Alvarez, James E. Daniell, Uwe Ehret, Hendrik Feldmann, Marie Hundhausen, Peter Knippertz, Katharina Kuepfer, Michael Kunz, Bernhard Muehr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schaefer, Frank Seidel, Christina Wisotzky
Summary: Heavy precipitation in July 2021 caused widespread floods in western Germany and neighboring countries, particularly affecting the Ahr and Erft river catchments. This study analyzes the historical context, precipitation records, and valley morphology transformation of the 2021 event. It also evaluates the impact of climate change on rainfall and flood hazard, as well as implications for flood management. The event ranked among the top five heaviest precipitation events in Germany in the past 70 years. The analysis suggests that the flood discharges far exceeded the statistical 100-year return levels, and the flood peaks were comparable to major historical events in 1804 and 1910. The study also investigates the effects of climate change on rainfall and flood peaks using model experiments and ensemble analysis.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Susanna Mohr, Uwe Ehret, Michael Kunz, Patrick Ludwig, Alberto Caldas-Alvarez, James E. Daniell, Florian Ehmele, Hendrik Feldmann, Mario J. Franca, Christian Gattke, Marie Hundhausen, Peter Knippertz, Katharina Kuepfer, Bernhard Muehr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schaefer, Marc Scheibel, Frank Seidel, Christina Wisotzky
Summary: The July 2021 flood in central Europe was one of the five costliest disasters in Europe in the last half century, with an estimated total damage of EUR 32 billion. This study aims to analyze and assess the flood from a comprehensive perspective, including atmospheric pressure fields, rainfall processes, water levels, hydro-morphological effects, and impacts on infrastructure and society. It also explores measures to enhance early response management after a disaster.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Alberto Caldas-Alvarez, Markus Augenstein, Georgy Ayzel, Klemens Barfus, Ribu Cherian, Lisa Dillenardt, Felix Fauer, Hendrik Feldmann, Maik Heistermann, Alexia Karwat, Frank Kaspar, Heidi Kreibich, Etor Emanuel Lucio-Eceiza, Edmund P. Meredith, Susanna Mohr, Deborah Niermann, Stephan Pfahl, Florian Ruff, Henning W. Rust, Lukas Schoppa, Thomas Schwitalla, Stella Steidl, Annegret H. Thieken, Jordis S. Tradowsky, Volker Wulfmeyer, Johannes Quaas
Summary: Extreme precipitation poses a significant threat to property and human life. The intensification and frequency of these events are expected to increase in a warming climate. Therefore, it is crucial to advance the understanding of extreme precipitation processes, statistics, and impacts. A working group within the ClimXtreme project in Germany has been established to analyze high-impact events from multiple disciplines. In this study, the heavy precipitation event on June 29, 2017, in the Berlin metropolitan region, was comprehensively assessed from meteorological, impacts, and climate perspectives.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Florian Ehmele, Lisa-Ann Kautz, Hendrik Feldmann, Yi He, Martin Kadlec, Fanni D. Kelemen, Hilke S. Lentink, Patrick Ludwig, Desmond Manful, Joaquim G. Pinto
Summary: This study investigates the impact of enduring and extensive heavy precipitation events on widespread river floods in central Europe. Due to the long return periods of such events, it is challenging to accurately quantify their frequency and intensity based solely on precipitation observations. To overcome this, the researchers utilize the LAERTES-EU dataset, which consists of over 12,000 simulated years from regional climate models. They apply this dataset to a hydrological model and correct the bias in model precipitation, resulting in improved representation of precipitation and simulated discharges. The bias-corrected LAERTES-EU dataset is found to be generally suitable for hydrological applications and posterior risk analyses.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(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)