Article
Environmental Sciences
Jianjiong Mao, Lin Li, Jingyi Li, Ishaq Dimeji Sulaymon, Kaili Xiong, Kang Wang, Jianlan Zhu, Ganyu Chen, Fei Ye, Na Zhang, Yang Qin, Momei Qin, Jianlin Hu
Summary: Air quality in China has significantly changed since 2013 due to the implementation of emission control measures. Observational and modeling studies have investigated the formation mechanisms of PM2.5 and O-3 pollution. A nationwide air quality modeling study using the WRF/CMAQ system was conducted from 2013 to 2019, evaluating model performance and providing insights for emission control strategies.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Xinyi Fu, Dongsheng Chen, Xiaotong Wang, Yue Li, Jianlei Lang, Ying Zhou, Xiurui Guo
Summary: In this study, the impacts of ship emissions on ozone (O3) concentration in China were evaluated using the WRF model, CMAQ model, and IPR module. Ship emissions were found to either increase or decrease O3 concentrations, with varying effects in different seasons and regions. This study provides valuable insights into the impacts of ship emissions on O3 in China, which can inform the development of environmental policies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Chenxi Lou, Fei Jiang, Xudong Tian, Qiaoli Zou, Yanhua Zheng, Yang Shen, Shuzhuang Feng, Jiansong Chen, Lingyu Zhang, Mengwei Jia, Jiawei Xu
Summary: This study simulated the isoprene emissions in Zhejiang Province in August 2020 and investigated its contributions to ozone using the WRF-CMAQ model. It found that the total isoprene emission in Zhejiang Province was 125.1 GgC, with higher emissions in western Zhejiang and relatively lower emissions in eastern coastal regions. The contribution of isoprene to the daily maximum 8-hour average ozone concentrations showed significant regional differences in Zhejiang Province, with higher impact in the northern region and lower impact in the southern region.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Manish Soni, Sunita Verma, Manoj K. Mishra, R. K. Mall, Swagata Payra
Summary: This study uses a combination of satellite retrievals and a weather model to estimate ground-level PM10 concentration. The results show that the model captures the spatial pattern of PM10 well, but underestimates the aerosol loading. A scaling is applied to improve the estimation, resulting in better agreement with observational data. The study demonstrates the importance of integrating satellite data and models for accurate estimation of particulate pollution.
Article
Environmental Sciences
Mengyuan Zhang, Arpit Katiyar, Shengqiang Zhu, Juanyong Shen, Men Xia, Jinlong Ma, Sri Harsha Kota, Peng Wang, Hongliang Zhang
Summary: The lockdown measures implemented by the Indian government during the pandemic significantly improved air quality in India, with reductions in key pollutants such as PM2.5, MDA8 O-3, NO2, and SO2. Emission reductions of NOx and VOCs played a crucial role in decreasing ozone concentration, calling for more aggressive and localized emission control strategies in the future.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)
Article
Engineering, Environmental
Yangzong Zeren, Beining Zhou, Yanhua Zheng, Fei Jiang, Xiaopu Lyu, Likun Xue, Hongli Wang, Xufei Liu, Hai Guo
Summary: The three bay areas in China, Bohai Bay, Hangzhou Bay, and Pearl River Estuary, often suffer from severe photochemical pollution due to specific meteorological conditions that lead to high ozone concentrations. The interaction between synoptic winds and mesoscale breezes results in slow wind speeds over the bays, allowing air pollutants to undergo intensive photochemical reactions. This phenomenon may be applicable to similar ecotones around the world.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Tin Thongthammachart, Hikari Shimadera, Shin Araki, Tomohito Matsuo, Akira Kondo
Summary: In this study, a land use regression model was developed using a non-linear machine learning algorithm to predict daily PM2.5 levels in central Thailand. The model exhibited high prediction accuracy and effectively showed the spatiotemporal distribution of PM2.5.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Environmental Sciences
Long Ta Bui, Phong Hoang Nguyen
Summary: This study aims to investigate the spatial and temporal distribution of ground-level ozone in the Mekong Delta region and assess the impact of emissions and meteorological factors on ozone concentrations. The results show that emissions from different agro-ecological zones and meteorological factors such as temperature, humidity, and pressure contribute to the increase in ground-level ozone.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
E. S. Solomou, A. Pappa, I. Kioutsioukis, A. Poupkou, N. Liora, S. Kontos, C. Giannaros, D. Melas
Summary: Post-processing techniques, specifically the analog-based AnEn technique, are implemented to improve the forecast skill of air quality models, resulting in significant reductions in RMSE values and improvements in the correlation coefficient. The AnEn approach effectively searches for analogs in past forecasts to enhance the accuracy of ozone and particulate matter forecasts, leading to a successful reduction in forecast bias and overall enhancement in forecast accuracy.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Taehee Kim, Dongwon Choi, Wonseok Ko, Yujeong Kim, Jimin Kim, Yoon-Hee Kang, Soontae Kim, Kyung-Hwan Kwak
Summary: This study examines one possible mechanism for an ozone episode, which is the deteriorated air quality caused by inter-provincial transport. The results show that ozone concentrations decrease in the metropolitan area during the daytime due to chemical reduction, while vertical transport contributes to higher ozone concentrations in the downwind cities. This study highlights the importance of inter-provincial transport in the formation of multi-day ozone episodes.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Environmental Sciences
Song Liu, Jia Xing, Shovan Kumar Sahu, Xiliang Liu, Shuchang Liu, Yueqi Jiang, Hongliang Zhang, Siwei Li, Dian Ding, Xing Chang, Shuxiao Wang
Summary: The study revealed the causes of dust storms in Northern China in March 2021, focusing on the impact of soil types, density, and spatial resolution on the occurrence of dust storms. It emphasized the strong correlation between wind speed, frequency, and intensity of dust phenomena, calling for enhanced monitoring and prevention measures.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Ana Torres-Vazquez, Jonathan Pleim, Robert Gilliam, George Pouliot
Summary: The Long Island Sound Tropospheric Ozone Study aimed to improve the understanding of ozone chemistry and transport from New York City to the Long Island Sound and Connecticut coastline. The study found that using higher model resolutions can enhance the simulation of sea breeze circulations, low-level jets, and boundary layer evolution, resulting in improved surface meteorology statistics and more accurate ozone predictions.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Environmental Sciences
Jiali Li, Shaocai Yu, Xue Chen, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Weiping Liu, Pengfei Li, Min Xie, Jia Xing
Summary: This study compared the model performances of two meteorological fields in China for PM2.5, O-3, and related precursors using simulation and observation nudging approaches. The results showed that the nudging approach had better model performances and improved simulations of meteorology and air quality.
AEROSOL AND AIR QUALITY RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Ishaq Dimeji Sulaymon, Yuanxun Zhang, Philip K. Hopke, Song Guo, Fei Ye, Jinjin Sun, Yanhong Zhu, Jianlin Hu
Summary: The nationwide lockdown implemented by the Chinese authorities was a major tool in controlling the spread of the COVID-19 pandemic in China. It also resulted in significant reductions in anthropogenic emissions and PM2.5 concentrations. However, the lockdown measures did not prevent high PM2.5 pollution episodes.
ATMOSPHERIC RESEARCH
(2023)
Article
Environmental Sciences
Yawei Qu, Ming Zhao, Tijian Wang, Shu Li, Mengmeng Li, Min Xie, Bingliang Zhuang
Summary: The rapid urbanization in China has led to increasingly serious air pollution. In this study, observations using Lidar and UAV were conducted in Nanjing during spring to study the vertical distribution and correlation of ozone and particulate matter. The results showed that ozone concentration is highest in the upper boundary layer, while aerosol extinction coefficient decreases with height. Below 650 m, ozone and aerosol are negatively correlated, while above the boundary layer, they are usually positively correlated, regardless of the presence of particulate pollution.
Article
Geosciences, Multidisciplinary
Yue Sun, Yuan Wang, Chuanfeng Zhao, Yue Zhou, Yikun Yang, Xingchuan Yang, Hao Fan, Xin Zhao, Jie Yang
Summary: Understanding the effects of aerosols on convective precipitation is crucial for assessing the impact of human activities on extreme weather events and the hydrological cycle. However, the exact nature and magnitude of these effects are still a subject of debate. In this study, using a combination of satellite and ground-based observations over the North China Plain, we found a boomerang-shaped aerosol effect on the top height of convective precipitation, ranging from invigoration to suppression. Further analysis revealed that aerosols have distinct impacts on precipitation rate at different layers, with near surface precipitation rate showing no significant response to aerosols and precipitation-top height due to strong evaporation. The competition between energy released from condensation and freezing and energy absorbed by evaporation can explain the observed boomerang-shaped aerosol effect.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Yuhan Fu, Ya Tang, Xi Shu, Philip K. Hopke, Lei He, Qi Ying, Zhonglin Xia, Mengjie Lei, Xue Qiao
Summary: Acid deposition and particulate matter pollution have significantly decreased in China, but the changes in metal(loid) deposition have not been well studied. This study analyzed the deposition of eleven metal(loid)s from 2017 to 2021 at Mount Emei. The results showed that anthropogenic emissions were the main contributors to metal(loid) and acid deposition, with the most significant source regions being the Sichuan Basin, Yunnan-Guizhou Plateau, and Gansu Province. The deposition patterns of metal(loid)s were similar to acid deposition, with higher fluxes in summer and higher concentrations and dry fluxes in winter.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Qi Qi, Shuai Wang, Hui Zhao, Sri Harsha Kota, Hongliang Zhang
Summary: This study used the WRF-CMAQ model system, the parameterized Jarvis stomatal conductance model, and the O3 flux model to simulate the changes of O3 uptake flux in rice stomata in major rice growing areas in China from 2013 to 2020. The results showed that rice yield losses due to O3 pollution exhibited an overall increasing and decreasing trend from 2013 to 2018 and 2018 to 2020, respectively. The estimated rice yield losses based on AOT40 and POD gamma indicators ranged from 3.5% to 5.9%, 1.8% to 3.5%, and 2.4% to 5.4% for single rice, double-early rice, and double-late rice during 2013-2020, respectively. The yearly rice yield losses based on AOT40 and POD gamma were 5.9-11.4 million metric tons and 8.0-28.0 million metric tons for 2013-2020, respectively. This study provides an important reference for mitigating the impact of O3 pollution and climate change on rice yield in the future.
JOURNAL OF CLEANER PRODUCTION
(2023)
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
Chemistry, Multidisciplinary
Medhavi Gupta, Diljit Kumar Nayak, Sri Harsha Kota
Summary: India's air quality is severely affected by high levels of particulate matter (PM), leading to the implementation of the National Clean Air Programme (NCAP) to reduce PM concentrations. However, studies show that PM-centric action plans may negatively impact ozone air quality. This study utilizes the WRF-Chem model to analyze the effect of the NCAP on PM and ozone levels in India, finding that the NCAP can improve PM levels in most nonattainment cities (NACs) but may exacerbate ozone issues in some regions. The reduction in ozone is attributed to decreased nitrogen oxides and VOC emissions, as well as an increase in forest cover.
ACS EARTH AND SPACE CHEMISTRY
(2023)
Article
Environmental Sciences
Shuai Wang, Peng Wang, Ruhan Zhang, Xia Meng, Haidong Kan, Hongliang Zhang
Summary: A simple lightGBM model was built to estimate ground PM2.5, PM10, and PM2.5-10, and the SHAP approach was used to separate the meteorological contributions on PM concentration. The models showed good performance, with correlation coefficients ranging from 0.84 to 0.88 for PM2.5. The results confirmed the feasibility of the SHAP approach in explaining haze formation.
Article
Biodiversity Conservation
Yuan Wang, Junjie Liu, Paul O. Wennberg, Liyin He, Damien Bonal, Philipp Kohler, Christian Frankenberg, Stephen Sitch, Pierre Friedlingstein
Summary: Tropical forests have a crucial role in regulating the global carbon cycle, but their response to climate change is uncertain. A new study using spaceborne measurements of solar-induced chlorophyll fluorescence (SIF) found that the dependence of tropical forest gross primary production (GPP) on climate variables is highly heterogeneous. Water-related factors such as vapor pressure deficit (VPD) and soil moisture influence GPP in African forests, while energy-related factors such as photosynthetically active radiation (PAR) and surface temperature affect GPP in Southeast Asian forests. The current vegetation models may not accurately represent the complex interactions between carbon and water cycles in the tropics, making projections of future carbon dynamics less robust.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Ganzhen Chen, Jiandong Wang, Yuan Wang, Jiaping Wang, Yuzhi Jin, Yueyue Cheng, Yan Yin, Hong Liao, Aijun Ding, Shuxiao Wang, Jiming Hao, Chao Liu
Summary: This study proposes an improved aerosol optical module, Advanced Black Carbon (ABC), to accurately estimate the absorption efficiency and radiative effects of black carbon (BC) aerosols. The module addresses the deficiencies in representing BC microphysical and mixing properties, reducing the discrepancies between model simulations and observations, and mitigating the climate impacts of atmospheric aerosols.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Environmental Sciences
Yuan Wang, Xiaojian Zheng, Xiquan Dong, Baike Xi, Yuk L. Yung
Summary: In this study, the warm-cloud physics parameterizations in the NCAR Community Atmospheric Model version 6 and 5 (SCAM6 and SCAM5) are evaluated using measurements from the ARM Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) field campaign. The results show that both SCAM6 and SCAM5 can simulate the structure and properties of marine boundary layer clouds, but they underestimate cloud liquid water content, cloud droplet size, and rain liquid water content while overestimating surface rainfall. The study emphasizes the importance of understanding biases in cloud physics parameterizations through combining single-column modeling with in situ observations.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Environmental Sciences
Jinlong Ma, Shengqiang Zhu, Siyu Wang, Peng Wang, Jianmin Chen, Hongliang Zhang
Summary: The greening impacts in China from 2000 to 2017 increased vegetated areas and BVOC emissions. Accurate estimation of BVOC emissions is critical to understand their impacts on air quality. Different leaf area index (LAI) and land cover (LC) datasets were used to investigate the impact on BVOC emissions, and the effects on O-3 and SOA were evaluated. Results show that changing LAI and LC datasets of the model input has an impact on BVOC estimations, with the combination of C3S LC and GLASS LAI performing better. The uncertainties in MEGAN inputs should be fully considered in future O-3 and SOA simulations.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Environmental Sciences
Peng Wang, Ruhan Zhang, Shida Sun, Meng Gao, Bo Zheng, Dan Zhang, Yanli Zhang, Gregory R. Carmichael, Hongliang Zhang
Summary: Vehicle emissions are a major contributor to air pollution and its health impacts. Traffic congestion exacerbates air pollution and health burdens, especially in urban areas. A new temporal allocation approach was used to investigate the impact of traffic congestion on air quality and health burden in China, showing the need for better vehicle emission control policies and road network planning to reduce congestion and improve air quality.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Environmental Sciences
Minsu Choi, Jie Zhang, Yuwei Zhang, Jiwen Fan, Xinghua Li, Qi Ying
Summary: This study investigates the influence of wildfire brown carbon (BrC) on the formation of O-3 and fine particulate matter (PM2.5) through its absorption of ultraviolet (UV) radiation. The results show that BrC UV absorption reduces the formation of O-3 and PM2.5 in the wildfire plume. Additionally, the impact of BrC absorption on O-3 and PM2.5 is relatively small compared to other factors.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Mingjie Kang, Hongliang Zhang, Qi Ying
Summary: This study used a source-oriented chemical transport model to assess background ozone levels and found that anthropogenic emissions contribute to an increase in background ozone, while reducing anthropogenic NOx emissions can help in reducing biogenic ozone, leading to more effective ozone pollution control.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Environmental Sciences
Yun Lin, Yoshihide Takano, Yu Gu, Yuan Wang, Shujun Zhou, Tianhao Zhang, Kuilin Zhu, Jingyu Wang, Bin Zhao, Gang Chen, Damao Zhang, Rong Fu, John Seinfeld
Summary: Aerosol vertical distribution has a crucial role in cloud development and precipitation, but its influence on clouds is still unclear. This study integrates multi-year Raman Lidar measurements of aerosol vertical profiles with cloud feature data to characterize the impacts of aerosol vertical distribution on warm clouds over land and ocean regions. Three primary types of aerosol vertical distributions are identified based on the relative positions of aerosol layers to clouds. The impacts of aerosols on clouds vary depending on environmental conditions, as reflected by the wide variations of the relations between aerosol optical depths and cloud properties.
SCIENCE OF THE TOTAL ENVIRONMENT
(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)
