Article
Environmental Sciences
Kiwon Yeom
Summary: This paper introduces a vehicular-based mobile monitoring system for real-time air quality sensing in urban environments, utilizing machine learning algorithms to generate representative data sets. The system effectively maps air quality and reveals spatial variability.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Environmental Sciences
Elisabeth Galarneau, Tara I. Yacovitch, Brian Lerner, Andrew Sheppard, Binh-Toan Quach, Wenxing Kuang, Haryug Rai, Ralf Staebler, Cristian Mihele, Felix Vogel
Summary: Ethylene oxide (EtO), a human carcinogen, has gained attention recently due to its release from sterilization facilities to ambient air. The traditional method of measurement involves collecting canister samples over minutes to hours and analyzing them using gas chromatography/mass spectrometry (GC/MS). However, a novel application of tunable infrared laser direct absorption spectrometry (TILDAS) has been introduced, allowing for near real-time measurement of EtO. This new method achieved similar detection limits to the canister-GC/MS methods, with a stationary averaging time of only 100 s and high frequency sampling. The study observed consistent presence of EtO near a local facility reporting on-site releases and detected EtO at various locations. Additionally, the study found that EtO was not correlated with common air pollutants in some areas, but showed a relationship with elevated levels of nitric oxide (NO), carbon monoxide (CO), and methane (CH4) in other locations.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Environmental Sciences
Hoda Talaat, Junshi Xu, Marianne Hatzopoulou, Hossam Abdelgawad
Summary: This study developed a spatial model for predicting black carbon concentrations in the Greater Cairo Region in Egypt using mobile data and compared the accuracy of different models. The neural network model showed higher accuracy in estimating BC concentrations compared to the land use regression model.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Environmental Studies
Junyang Gao, Helin Liu, Yongwei Tang, Mei Luo
Summary: This study proposes a hybrid method to map the spatial distribution of urban residential carbon emissions in Suzhou city, China, using multi-source data, in order to differentiate between emissions from commuter and home-based populations. The estimated data from this method showed higher accuracy and stability compared to using NTL data and population size as proxy data.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2023)
Article
Environmental Sciences
Jia Xu, Wen Yang, Zhipeng Bai, Renyi Zhang, Jun Zheng, Meng Wang, Tong Zhu
Summary: This study aimed to develop spatial models for regulated and non-regulated air pollutants using 6 algorithms and compare their prediction performances. The results showed that traffic variables were the key factors affecting the spatial variation of air pollutants, and the models using partial least squares regression and random forest algorithms performed the best. These models captured the different spatial patterns of air pollutants and could be used to assess toxic air pollutant exposures in human health studies.
ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Changchun Huang, Lize Meng, Yao He, Nana Shang, Heyu Yu, Tao Huang, A-xing Zhu, Hao Yang, Kan Zhao, Ling Yao
Summary: Black carbon (BC) with high aromaticity and stability is recognized as a substantial fraction of the carbon pool in soil and sediment. In a eutrophic urban lake like Taihu Lake, BC, mainly composed of char and soot, is influenced by terrestrial inputs and fossil fuel consumption. The distribution and composition of BC and its sources, including PAHs, are key factors influencing the carbon pool in lake water.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Abhay Anand, Harish C. Phuleria
Summary: This study provides the first quantitative assessment of spatial and seasonal variations of outdoor black carbon and PM2.5 concentrations in several densely populated slums of Mumbai, India. The results indicate that slum residents in Mumbai and similar slums are at a higher risk of traffic-related air pollution, especially during winter. Targeted mitigation strategies to reduce vehicular emissions, especially in high-traffic slums, are recommended.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Da He, Qian Shi, Jingqian Xue, Peter M. Atkinson, Xiaoping Liu, Marie Weiss
Summary: In this research, a learnable correlation-based sub-pixel mapping (LECOS) method is developed to tackle the mixed pixel effect in urban land use/land cover classification. The method effectively models teleconnections and diverse global correlation patterns, resulting in accurate sub-pixel reconstruction of complex urban scenes. The derived results demonstrate rich urban spatial heterogeneity and suggest the potential for greater understanding of urban issues.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Tzu-Chi Lin, Pei-Te Chiueh, Stephen M. Griffith, Chien-Chieh Liao, Ta-Chih Hsiao
Summary: The study deployed a real-time mobile monitoring system in Taipei to capture on-road traffic-related air pollutants, finding positive correlations between black carbon, UFPs, CO concentrations, and LDSA with traffic flow, while PM2.5 showed more independent fluctuation. During rush-hour periods, higher concentrations of UFPs, PM2.5, and LDSA were observed.
ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Haixia Feng, Jian Li, Haiying Feng, Erwei Ning, Qi Wang
Summary: The DSI model developed in this study has higher accuracy and better monitoring effect in urban areas, with higher resolution and suitability for monitoring AQI, PM2.5, and NO2.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Chemistry, Analytical
Yacine Mohamed Idir, Olivier Orfila, Vincent Judalet, Benoit Sagot, Patrice Chatellier
Summary: With the advancement of technology, the idea of building mobile network sensing for air quality quickly emerged, but the difficulty of building precise air quality mapping mathematical models arose. Research shows that geostatistical models have significant improvements in interpolating scenarios compared to standard techniques, while showing less significant results in extrapolating scenarios.
Article
Environmental Sciences
Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips
Summary: Urban air quality mapping plays a crucial role in urban planning, air pollution control, and personal air pollution exposure assessment. Traditional fixed monitoring stations are limited in providing fine-grained air quality maps due to their sparse deployment and inability to capture short-distance variations influenced by factors such as meteorology, road network, and traffic flow. In this study, a context-aware locally adapted deep forest (CLADF) model is proposed to infer the distribution of NO2 with high resolution using measurements from low-cost mobile sensors and contextual factors, particularly traffic flow. The CLADF model outperforms various benchmark models in terms of accuracy and correlation according to extensive validation experiments using mobile NO2 measurements collected in Antwerp, Belgium.
Article
Ecology
John M. A. Duncan, Bryan Boruff
Summary: Fine spatial resolution urban vegetation datasets are important for monitoring change in green space and guiding planning and policy initiatives. Differences in the generation of fine spatial resolution datasets could affect how urban vegetation is represented.
LANDSCAPE AND URBAN PLANNING
(2023)
Article
Environmental Sciences
Shibao Wang, Yun Ma, Zhongrui Wang, Lei Wang, Xuguang Chi, Aijun Ding, Mingzhi Yao, Yunpeng Li, Qilin Li, Mengxian Wu, Ling Zhang, Yongle Xiao, Yanxu Zhang
Summary: The study utilized low-cost sensors and novel calibration algorithms to explore air pollution in the road network of Nanjing on a hyperlocal scale, revealing major sources of pollutants including traffic, industrial emissions, and cooking fumes. The concentrations of CO and NO2 showed a pattern across different road types, reflecting traffic volume, while the O-3 concentrations were influenced by the titration effect of NOx.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)
Article
Construction & Building Technology
Lucas E. Cummings, Justin D. Stewart, Peleg Kremer, Kabindra. M. Shakya
Summary: Understanding the relationship between urban structure patterns and air pollutants is crucial for sustainable urban planning. This study used a mobile monitoring method to collect PM2.5 and BC data in Philadelphia during the summer of 2019 and applied the STURLA methodology to examine the relationship between urban structure and atmospheric pollution. The results show that PM2.5 and BC concentrations vary across different STURLA classes, and the proportions of STURLA components can predict the spatial distribution of air pollution. Among the frequently sampled STURLA classes, gpl (grass, pavement, and low-rise buildings) had the highest average PM2.5 concentrations, while tgbwp (trees, grass, bare soil, water, pavement) had the highest BC concentrations. The STURLA method combined with machine learning modeling successfully correlated air pollution concentrations with urban landscape composition and interpolated concentrations throughout the city. These findings demonstrate the effectiveness of the STURLA methodology in modeling the relationship between air pollution and urban structure patterns.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Review
Food Science & Technology
Giles T. Hanley-Cook, Aisling J. Daly, Roseline Remans, Andrew D. Jones, Kris A. Murray, Inge Huybrechts, Bernard De Baets, Carl Lachat
Summary: Dietary diversity is an important public health principle, and its measurement is crucial for assessing diet quality and food security. However, the conventional methods fail to capture the full range of food diversity, thus requiring further improvement and adaptation.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Remote Sensing
Amna Qayyum, Bernard De Baets, Laure De Cock, Frank Witlox, Guy De Tre, Nico Van de Weghe
Summary: This paper explores the micro-scale traffic interactions at intersections and presents a novel approach to detect and represent the micro-scale traffic movement interactions at a non-signalized T-junction. The study shows that this approach allows for more detailed tracking of vehicle movements and plays an important role in traffic safety assessment.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Statistics & Probability
Matthys Lucas Steyn, Tertius de Wet, Bernard De Baets, Stijn Luca
Summary: This article proposes an open-set recognition model based on extreme value statistics, which introduces a distance ratio to express the dissimilarity between a target point and known classes, and uses the class of generalized Pareto distributions to model the peaks of the distance ratio, providing a probabilistic framework for open-set recognition.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2023)
Article
Computer Science, Information Systems
Toon De Pessemier, Kris Vanhecke, Pieter Thomas, Tara Vander Mynsbrugge, Stefaan Vercoutere, Dominique Van de Velde, Patricia De Vriendt, Wout Joseph, Luc Martens, Dick Botteldooren, Paul Devos
Summary: This paper investigates the potential positive effects of playing carefully chosen and recognizable sounds on the behavioral and psychological symptoms of dementia. The personalized selection and playback of sounds aim to improve the sound environment and can be continuously adjusted based on the residents' responses. The testing of the soundscape system with dementia patients showed that the majority of residents perceived it as an improvement in the sound environment.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Letter
Toxicology
P. Marx-Stoelting, G. Riviere, M. Luijten, K. Aiello-Holden, N. Bandow, K. Baken, A. Canas, A. Castano, S. Denys, C. Fillol, M. Herzler, I. Iavicoli, S. Karakitsios, J. Klanova, M. Kolossa-Gehring, A. Koutsodimou, J. Lobo Vicente, I. Lynch, S. Namorado, S. Norager, A. Pittman, S. Rotter, D. Sarigiannis, M. J. Silva, J. Theunis, T. Tralau, M. Uhl, J. van Klaveren, L. Wendt-Rasch, E. Westerholm, C. Rousselle, P. Sanders
Summary: Current approaches for chemical risk assessment are facing challenges due to the increasing number and changing types of chemicals. Next-generation risk assessment is seen as the way forward, but incorporating new scientific insights and innovative approaches is challenging. The European Partnership for the Assessment of Risks from Chemicals (PARC) aims to address these challenges and consolidate Europe's research and innovation capacity in chemical risk assessment.
ARCHIVES OF TOXICOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Arne Deloose, Glenn Gysels, Bernard De Baets, Jan Verwaeren
Summary: This paper explores the use of natural language processing techniques to predict structured metadata in failure notifications. It highlights the challenges posed by the technical nature of the texts and the use of sentence fragments and abbreviations. The authors demonstrate that considering the dependencies between different components of the metadata and treating the prediction problem as a multidimensional classification problem can improve label prediction reliability.
COMPUTERS IN INDUSTRY
(2023)
Article
Computer Science, Artificial Intelligence
Alicia Robles-Velasco, Pablo Cortes, Jesus Munuzuri, Bernard De Baets
Summary: This study proposes the use of multi-label classification techniques to predict pipe failures in water supply systems for multiple years. Various models and prediction time periods are analyzed, showing successful results in avoiding pipe failures over time.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Infectious Diseases
Waldemar Baldoquin Rodriguez, Mayelin Mirabal, Patrick Van der Stuyft, Tania Gomez Padron, Viviana Fonseca, Rosa Maria Castillo, Sonia Monteagudo Diaz, Jan M. Baetens, Bernard De Baets, Maria Eugenia Toledo Romani, Veerle Vanlerberghe
Summary: In order to improve dengue prevention and control efforts, the use of routinely collected data to develop risk maps is recommended. By using data from two municipalities in Cuba, dengue experts identified indicators representative of entomological, epidemiological, and demographic risks to construct risk maps. However, there was low agreement between vulnerability and incidence-based risk maps in areas with a prolonged history of dengue transmission, suggesting that an incidence-based approach may not fully capture the complexity of vulnerability.
TROPICAL MEDICINE AND INFECTIOUS DISEASE
(2023)
Review
Environmental Sciences
Angel M. Dzhambov, Peter Lercher, Natalia Vincens, Kerstin Persson Waye, Maria Klatte, Larisa Leist, Thomas Lachmann, Dirk Schreckenberg, Christin Belke, Gordana Ristovska, Katja M. Kanninen, Dick Botteldooren, Timothy Van Renterghem, Sonja Jeram, Jenny Selander, Arzu Arat, Kim White, Jordi Julvez, Charlotte Clark, Maria Foraster, Irene van Kamp
Summary: The EU-funded project Equal-Life conducted a scoping review and conceptual model to explore the potential mediators linking the exposome to mental health and cognition in children/adolescents. The scarcity of empirical evidence in this research area was found, with only a few cross-sectional studies indicating a tentative association between perceived restorative quality and mental health. Physical activity emerged as a mediator leading to better psychological outcomes in restorative environments.
ENVIRONMENTAL RESEARCH
(2023)
Article
Neurosciences
Ehsan Eqlimi, Annelies Bockstael, Marc Schonwiesner, Durk Talsma, Dick Botteldooren
Summary: This study explores how auditory distractions influence the process of information encoding during speech comprehension. The findings showed that when attention was directed towards speech, the complexity and unpredictability of microstate dynamics increased. Coping with background noise during speech comprehension demands sustained cognitive effort. Additionally, there were two stages of time course for microstate complexity and alpha-to-theta power ratio.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2023)
Article
Computer Science, Information Systems
Barbara Wolnik, Maciej Dziemianczuk, Bernard De Baets
Summary: In this paper, non-uniform elementary cellular automata on the infinite grid in the context of number conservation are studied. The study provides a comprehensive description of these automata. Previous research only focused on finite grids and derived hypotheses based on computer experiments. It is found that when considering number conservation for non-uniform cellular automata, the infinite grid cannot be treated as a limiting case of finite grids.
INFORMATION SCIENCES
(2023)
Article
Ecology
Wissam Barhdadi, Aisling J. Daly, Jan M. Baetens, Bernard De Baets
Summary: Individual biology influences population dynamics dependent on the environment through life history. Recent research has integrated metabolic theory with individual-based models to explore the link between individual physiology and demography. However, current population models do not consider individual behaviors, relying instead on imposed population-level relationships. This study proposes extending the model to include individual-scale behaviors and demonstrates its effectiveness in simulating consumer dynamics in a heterogeneous environment.
Article
Toxicology
Maryam Zare Jeddi, Karen S. Galea, Susana Viegas, Peter Fantke, Henriqueta Louro, Jan Theunis, Eva Govarts, Sebastien Denys, Clemence Fillol, Loic Rambaud, Marike Kolossa-Gehring, Tiina Santonen, Hilko van der Voet, Manosij Ghosh, Carla Costa, Joao Paulo Teixeira, Hans Verhagen, Radu-Corneliu Duca, An Van Nieuwenhuyse, Kate Jones, Craig Sams, Ovnair Sepai, Giovanna Tranfo, Martine Bakker, Nicole Palmen, Jacob van Klaveren, Paul T. J. Scheepers, Alicia Paini, Cristina Canova, Natalie von Goetz, Andromachi Katsonouri, Spyros Karakitsios, Dimosthenis A. Sarigiannis, Jos Bessems, Kyriaki Machera, Stuart Harrad, Nancy B. Hopf
Summary: The impact of the environment on health is a necessary result of human activity. Environmental health sciences aim to understand how people are exposed to hazardous chemicals that can harm their health. Implementing the FAIR principles for scientific data management can greatly enhance the efficiency and effectiveness of exposure sciences and environmental epidemiology.
FRONTIERS IN TOXICOLOGY
(2023)
Article
Physics, Fluids & Plasmas
Barbara Wolnik, Anna Nenca, Adam Dzedzej, Bernard De Baets
Summary: This paper discusses two-dimensional cellular automata with rotation symmetry and number conservation. It is shown that if the number of states k is smaller than or equal to six, then each rotation-symmetric number-conserving cellular automaton is isomorphic to some k-ary one. However, an example of a seven-state rotation-symmetric number-conserving cellular automaton is provided in this paper, which demonstrates the importance of not only focusing on cellular automata with {0, 1, ..., k-1} as state sets.
Proceedings Paper
Computer Science, Information Systems
Hans De Meyer, Bernard De Baets
Summary: This passage highlights the importance of calculating pairwise winning probabilities between components of random vectors and the reciprocal relation derived from these probabilities can be used as an alternative to establish a stochastic dominance order.
BUILDING BRIDGES BETWEEN SOFT AND STATISTICAL METHODOLOGIES FOR DATA SCIENCE
(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)
