Article
Environmental Sciences
Yuanqian Xu, Zhijiong Huang, Jiamin Ou, Guanglin Jia, Lili Wu, Huilin Liu, Menghua Lu, Meng Fan, Jing Wei, Liangfu Chen, Junyu Zheng
Summary: This study proposed a new approach to improve the estimation of open biomass burning (OBB) emissions and developed hourly gridded OBB emissions in China. The new approach, which fuses multiple active fires detected by various satellite instruments, provides more accurate estimations compared to existing datasets. This approach enables better understanding of the spatiotemporal variations of OBB emissions, enhances air quality modeling and forecasting, and supports the formulation of effective prevention and control policies for OBB.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Xiaotong Ye, Tianhai Cheng, Xiaoyang Li, Hao Zhu
Summary: This study assesses the differences in total particulate matter (TPM) emissions when calculated using different satellite aerosol optical depth (AOD) data. Using high spatial resolution AOD data, a 90% decrease in TPM emission coefficients (Ce) is found in Australia, and the quality of Ce improves by 290%. Using 1 km AOD data instead of 10 km AOD data, the estimation of biomass burning TPM emissions in Australia during 2012-2020 decreases from 1.08Tg to 0.11Tg.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Rodrigo Jimenez, Andres V. Ardila, Angela C. Vargas-Burbano, Andrea J. Hernandez, Elizabeth Leon-Velasquez
Summary: The Colombian Orinoco savannas have been transformed into pastures and crop fields over the past century, with a recent increase in commodity crop production. Cattle ranching occupies a larger area compared to cropland. The cultivated area is projected to double by 2040, with oil palm as the dominant crop. The annual burned area has been decreasing, influenced by irregular rainfall and drought. The reduction in pollution burden is expected to have positive impacts on public health.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Michael Barbour, Devin Udesen, Sam Bentson, Anamol Pundle, Casey Tackman, David Evitt, Paul Means, Peter Scott, Dean Still, John Kramlich, Jonathan D. Posner, Daniel Lieberman
Summary: Nearly 40% of the world's population relies on biomass stoves for indoor cooking, which can lead to harmful emissions. Proper air injection technology has been found to significantly reduce emissions and improve combustion efficiency. Forced air injection shows potential for both emission reductions and increased burn rate in biomass stoves.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2021)
Review
Engineering, Environmental
Max G. Adam, Phuong T. M. Tran, Nanthi Bolan, Rajasekhar Balasubramanian
Summary: This passage discusses the impacts of smoke haze episodes caused by uncontrolled biomass burning in Southeast Asia, focusing on airborne particulate matter (PM). It reviews recent research on the environmental and health effects of BB-induced PM from 2010 to 2020, providing insights into the physical, chemical, toxicological, and radiative properties of BB-derived PM. Additionally, it outlines future research priorities and emphasizes the need for policies to prevent future BB events in the SEA region.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Forestry
Enrica Nestola, Gregorio Sgrigna, Emanuele Pallozzi, Loredana Caccavale, Gabriele Guidolotti, Carlo Calfapietra
Summary: The study investigated the emissions of particles and gaseous compounds during simulated fire events in Mediterranean ecosystems and identified Acacia saligna and Pistacia lentiscus as the most dangerous species based on their particulate and gaseous emissions.
Article
Multidisciplinary Sciences
Niels Andela, Douglas C. Morton, Wilfrid Schroeder, Yang Chen, Paulo M. Brando, James T. Randerson
Summary: A near-real-time approach for tracking contributions from different types of fires to burned area and emissions can effectively assess the impacts of fires and improve management outcomes during fire emergencies.
Article
Environmental Sciences
Maoyu Cao, Wenjing Li, Pengxiang Ge, Mindong Chen, Junfeng Wang
Summary: Biomass burning is an important source of atmospheric particulate matter. This study analyzed aerosol samples using HPLC-MS/MS and identified different organic tracers of biomass burning. The results showed significant seasonal variations in the concentrations of these tracers, with most of them being abundant in winter. Using the PSCF and PMF models, the potential source regions and contribution factors of biomass burning were also analyzed.
Article
Environmental Sciences
Maria Angelica Martins Costa, Bruno Menezes da Silva, Samilla Gabriella Coelho de Almeida, Marcos Paulo Felizardo, Ana Flavia Martins Costa, Arnaldo Alves Cardoso, Kelly Johana Dussan
Summary: Energy demand has increased globally and biomass burning is a commonly used solution, but it generates pollutants. This study evaluates the use of a Venturi scrubber to control fine particle emissions from biomass burning, showing promising results for improving air quality.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Seohui Park, Jungho Im, Jhoon Kim, Sang-Min Kim
Summary: This study proposes a novel real-time learning approach to estimate PM concentrations in Northeast Asia, utilizing satellite aerosol data and numerical model outputs. The method shows consistent improvement on both hourly and monthly scales.
ENVIRONMENTAL POLLUTION
(2022)
Article
Environmental Sciences
Ting Wang, Ru-Jin Huang, Lu Yang, Wenting Dai, Haiyan Ni, Yuquan Gong, Jie Guo, Haobin Zhong, Chunshui Lin, Wei Xu
Summary: In this study, direct emissions of particulate Gly and Mgly from different residential fuels used in north China were reported. The emission ratios and emission factors of particulate Gly and Mgly for biomass burning were higher than those for coal combustion. The difference in emissions could be attributed to the different combustion processes influenced by fuel types and combustion conditions. The results suggest the importance of considering direct emissions from emission sources when estimating the formation of SOA from Gly and Mgly.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Dharitri Gogoi, Abdullah Sazid, Jayanta Bora, Pratibha Deka, Srinivasan Balachandran, Raza R. Hoque
Summary: The study found that households burning biomass emit significantly more particulate matter compared to those using clean LPG fuel, posing greater health risks. Additionally, emission levels varied among different communities and different cooking times of the day. Exposure doses were calculated to be about three times higher in biomass-burning households than in those using clean LPG fuel, with smaller particulates posing higher risks.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Environmental Sciences
Stijn Naus, Lucas G. Domingues, Maarten Krol, Ingrid T. Luijkx, Luciana Gatti, John B. Miller, Emanuel Gloor, Sourish Basu, Caio Correia, Gerbrand Koren, Helen M. Worden, Johannes Flemming, Gabrielle Petron, Wouter Peters
Summary: Using satellite data and aircraft monitoring, this study confirms a 54% decrease in deforestation-related CO emissions in the Amazon Basin over the past 16 years. The study also found significant interannual variability, with fire emissions in dry years being more than four times higher than in wet years. Additionally, the study highlights that future carbon release from fires depends on both drought intensity and forest protection.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Environmental Sciences
Farouk Lemmouchi, Juan Cuesta, Maxim Eremenko, Claude Derognat, Guillaume Siour, Gaelle Dufour, Pasquale Sellitto, Solene Turquety, Dung Tran, Xiong Liu, Peter Zoogman, Ronny Lutz, Diego Loyola
Summary: This paper presents a new passive satellite remote sensing approach for observing the three-dimensional distribution of aerosols emitted from wildfires. The approach uses satellite data and reflectance spectra to adjust the distribution and abundance of aerosols, and the results are compared with other observation data to demonstrate its effectiveness and accuracy. The study reveals the spatial distribution and height of aerosols, and reveals the relationship between aerosols, fire intensity, and atmospheric stability. This approach is of great significance for aerosol research and prediction.
Article
Environmental Sciences
M. Cano, T. R. Reina, E. Portillo, Luz M. Gallego Fernandez, B. Navarrete
Summary: Historically, emissions of particles from clinker kiln stacks have been a major concern in cement manufacturing. Recent studies have shown that total particle matter emissions, including filterable and condensable particles, are predominantly inorganic and below regulatory limits.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Geosciences, Multidisciplinary
M. M. Bela, N. Kille, S. A. McKeen, J. Romero-Alvarez, R. Ahmadov, E. James, G. Pereira, C. Schmidt, R. B. Pierce, S. M. O'Neill, X. Zhang, S. Kondragunta, C. Wiedinmyer, R. Volkamer
Summary: This study conducted the first suborbital carbon monoxide mass flux measurements on the scale of large wildfires, showing that the destructive fires in northern California in October 2017 emitted around 2040 tons of CO per hour. The uncertainty in predicting emissions is reduced by the CU AirSOF flux measurements, which can potentially improve the accuracy of models used to predict smoke impacts on public health.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
David A. Peterson, Laura H. Thapa, Pablo E. Saide, Amber J. Soja, Emily M. Gargulinski, Edward J. Hyer, Bernadett Weinzierl, Maximilian Dollner, Manuel Schoberl, Philippe P. Papin, Shobha Kondragunta, Christopher P. Camacho, Charles Ichoku, Richard H. Moore, Johnathan W. Hair, James H. Crawford, Philip E. Dennison, Olga Kalashnikova, Christel E. Bennese, Thaopaul P. Bui, Joshua P. DiGangi, Glenn S. Diskin, Marta A. Fenn, Hannah S. Halliday, Jose Jimenez, John B. Nowak, Claire Robinson, Kevin Sanchez, Taylor J. Shingler, Lee Thornhill, Elizabeth B. Wiggins, Edward Winstead, Chuanyu Xu
Summary: The 2019 FIREX-AQ field experiment collected valuable data on the impact of fires on regional and global environments and air quality. The study focuses on pyrocumulonimbus (pyroCb) events, which transport smoke into the upper troposphere and lower stratosphere (UTLS). The dataset confirms an increase in the magnitude of smoke plumes in the UTLS due to unprecedented wildfire and pyroCb activity worldwide. The study also investigates the influence of fire geometry and spatial extent on pyroCb activity, as well as the composition of smoke plumes lifted into the UTLS.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
Environmental Sciences
Bryan N. Vu, Jianzhao Bi, Wenhao Wang, Amy Huff, Shobha Kondragunta, Yang Liu
Summary: This study successfully estimated the PM2.5 concentration during the Camp Fire episode, the deadliest wildfire in California history, by using a random forest model combined with multiple data sources. The results demonstrate that the model can aid in epidemiological investigations of intense and acute exposure to PM2.5 through hourly predictions.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Fangjun Li, Xiaoyang Zhang, Shobha Kondragunta, Xiaoman Lu, Ivan Csiszar, Christopher C. Schmidt
Summary: Biomass burning has a significant impact on atmospheric composition and regional air quality. This study developed a new algorithm that combines satellite observations and emission inventories to estimate biomass burning emissions at higher temporal and spatial resolutions. The results provide valuable insights into the characteristics of fire emissions in different regions, seasons, and land cover types.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Patrick C. Campbell, Daniel Tong, Rick Saylor, Yunyao Li, Siqi Ma, Xiaoyang Zhang, Shobha Kondragunta, Fangjun Li
Summary: Wildfire outbreaks result in extreme biomass burning emissions that contribute significantly to nitrogen compounds and have adverse effects on air quality and ecosystem health. This study quantifies the contribution of biomass burning to total emissions and nitrogen deposition, revealing the significant impact on vegetation in California.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Xinzhou Huang, Kai Yang, Shobha Kondragunta, Zigang Wei, Lukas Valin, James Szykman, Mitch Goldberg
Summary: This article presents the first measurements of NO2 from the Nadir Mapper of Ozone Mapping and Profiler Suite (OMPS) instrument on the NOAA-20 satellite. It demonstrates that the OMPS instrument is capable of accurately measuring NO2 concentrations in the atmosphere. The study also reveals a significant decline in tropospheric NO2 during the COVID-19 lockdown period.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Environmental Sciences
Sheng-Po Chen, Cheng-Hsuan (Sarah) Lu, James E. Davies, Chang-Feng Ou-Yang, Neng-Huei Lin, Amy K. Huff, Bradley R. Pierce, Shobha Kondragunta, Jia-Lin Wang
Summary: This article introduces a near-real-time aerosol forecast and diagnostic approach based on satellite data, focusing on its application in East Asia. The method combines satellite retrievals and modeling techniques to provide cost-effective alternatives for air quality management. The capabilities of the system are demonstrated through case studies on biomass burning and haze events in Southeast Asia and China.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Hai Zhang, Zigang Wei, Barron H. Henderson, Susan C. Anenberg, Katelyn O'Dell, Shobha Kondragunta
Summary: This study used data from geostationary satellites to estimate the mass concentration of PM2.5, providing high temporal resolution data to supplement ground monitors. The findings show that satellite data are more effective in informing the public about harmful air quality compared to ground observations.
WEATHER AND FORECASTING
(2022)
Article
Environmental Sciences
Xinxin Ye, Mina Deshler, Alexi Lyapustin, Yujie Wang, Shobha Kondragunta, Pablo Saide
Summary: Satellite remote sensing of aerosol optical depth (AOD) is essential for detecting, characterizing, and forecasting wildfire smoke. This study evaluated AOD retrievals during extreme wildfire events in September 2020 using three products: MAIAC C6.0, MAIAC C6.1, and VIIRS AOD. The results showed strong linear correlations between all three products and AERONET data, with MAIAC C6.1 and VIIRS exhibiting overall low bias. MAIAC C6.1 was found to have improved accuracy compared to C6.0, particularly in thick smoke conditions, while VIIRS AOD had comparable uncertainty with a slight positive bias. Averaging coincident retrievals from MAIAC C6.1 and VIIRS resulted in lower error and higher correlation, highlighting the benefits of blending these datasets. MAIAC C6.1 and VIIRS were further compared in terms of their retrieval strategy, with MAIAC C6.1 reporting more valid retrievals near fire sources and VIIRS providing better coverage over transported smoke near scattered clouds due to its higher spatial resolution and less strict cloud masking.
Article
Meteorology & Atmospheric Sciences
Bo Huang, Mariusz Pagowski, Samuel Trahan, Cory R. Martin, Andrew Tangborn, Shobha Kondragunta, Daryl T. Kleist
Summary: A three-dimensional ensemble-variational aerosol data assimilation system was developed to improve the analysis and forecast of the Global Ensemble Forecast System-Aerosols (GEFS-Aerosols). The system assimilated Aerosol Optical Depth (AOD) retrievals from the VIIRS instruments onboard the S-NPP satellite, and adjusted the aerosol mass mixing ratios in GEFS-Aerosols. The assimilation of AOD data consistently improved the analyses and forecasts of GEFS-Aerosols.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Environmental Sciences
Yunyao Li, Daniel Tong, Siqi Ma, Saulo R. Freitas, Ravan Ahmadov, Mikhail Sofiev, Xiaoyang Zhang, Shobha Kondragunta, Ralph Kahn, Youhua Tang, Barry Baker, Patrick Campbell, Rick Saylor, Georg Grell, Fangjun Li
Summary: This study assesses the impact of plume height on wildfire smoke dispersion and its effects on air pollution and human health. Three plume rise schemes are compared in the CMAQ modeling framework, and it is found that plume height has a significant influence on the simulation results and may affect decision-making during large wildfire events.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Meteorology & Atmospheric Sciences
P. Makkaroon, D. Q. Tong, Y. Li, E. J. Hyer, P. Xian, S. Kondragunta, P. C. Campbell, Y. Tang, B. D. Baker, M. D. Cohen, A. Darmenov, A. Lyapustin, R. D. Saylor, Y. Wang, I. Stajner
Summary: This study developed a multi-model ensemble wildfire air pollution forecast over North America. The ensemble mean significantly reduced biases and produced more consistent and reliable forecasts compared to individual models during extreme fire events. The ensemble mean showed improved performance in AOD forecasts and surface PM2.5 forecasts, outperforming individual models in terms of correlation, bias, hit rate, and overall rank. The ensemble also has the potential to provide a probability forecast of air quality exceedances.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Environmental Sciences
Sebastien Garrigues, Samuel Remy, Julien Chimot, Melanie Ades, Antje Inness, Johannes Flemming, Zak Kipling, Istvan Laszlo, Angela Benedetti, Roberto Ribas, Soheila Jafariserajehlou, Bertrand Fougnie, Shobha Kondragunta, Richard Engelen, Vincent-Henri Peuch, Mark Parrington, Nicolas Bousserez, Margarita Vazquez Navarro, Anna Agusti-Panareda
Summary: The study evaluated two new near-real-time aerosol data products (SLSTR and NOAA EPS) and compared them with existing MODIS and PMAp data. The results showed that VIIRS and MODIS had the best consistency, with VIIRS having lower aerosol optical depth over ocean background and higher over biomass burning and dust source land regions. SLSTR had much smaller aerosol optical depth compared to other products, mainly due to the impact of cloud filtering.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Environmental Sciences
Laura H. Thapa, Xinxin Ye, Johnathan W. Hair, Marta A. Fenn, Taylor Shingler, Shobha Kondragunta, Charles Ichoku, RoseAnne Dominguez, Luke Ellison, Amber J. Soja, Emily Gargulinski, Ravan Ahmadov, Eric James, Georg A. Grell, Saulo R. Freitas, Gabriel Pereira, Pablo E. Saide
Summary: The study found that models often overestimate the injection of wildfire smoke plumes into the free troposphere, while actual observations show a lower rate. The performance of the models was significantly improved by using observed heat flux and boundary layer heights.
COMMUNICATIONS EARTH & ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Li Zhang, Raffaele Montuoro, Stuart A. McKeen, Barry Baker, Partha S. Bhattacharjee, Georg A. Grell, Judy Henderson, Li Pan, Gregory J. Frost, Jeff McQueen, Rick Saylor, Haiqin Li, Ravan Ahmadov, Jun Wang, Ivanka Stajner, Shobha Kondragunta, Xiaoyang Zhang, Fangjun Li
Summary: This paper describes the development of the GEFS-Aerosols model and evaluates its real-time and retrospective runs using various observations. The GEFS-Aerosols system shows significant improvements in the composition and variability of aerosol distributions compared to the previous NGACv2 system.
GEOSCIENTIFIC MODEL DEVELOPMENT
(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)
