Article
Environmental Sciences
Tomas Paces, Michael Krachler, Martin Novak, Marketa Stepanova, Leona Bohdalkova, Eva Prechova
Summary: This study measured antimony deposition in high-elevation sites in the Czech Republic and found that soluble antimony concentrations were highest in rime and lowest in snow. The average antimony deposition rate in Central Europe was estimated to be 1.3 x 10-4 g/m2/yr, with the main sources located in Upper and Lower Silesia.
ENVIRONMENTAL POLLUTION
(2023)
Article
Computer Science, Information Systems
Wen Xu, Xiaomei Yang, Kai Liu, Qiaoyu Tian, Jin Xu
Summary: The study focuses on a rosette trajectory for fast data acquisition and introduces an adaptive iterative reconstruction method to address off-resonance effects, achieving superior reconstruction performance.
Article
Engineering, Civil
Roniel Soares de Sousa, Azzedine Boukerche, Antonio A. F. Loureiro
Summary: Vehicle trajectory data is crucial in various applications and research areas, such as vehicular networks and Intelligent Transportation Systems (ITS). However, data collected from GPS devices often have positional errors that limit their usability, necessitating processing techniques for improving the quality of trajectory data. This paper proposes an efficient framework for reconstructing road-network constrained trajectories from GPS-based datasets, utilizing novel processing algorithms and models to handle low sampled trajectories with gaps. Additionally, a novel benchmark dataset is presented to evaluate trajectory reconstruction and map-matching algorithms, showing that the proposed framework outperforms existing methods in terms of time complexity and accuracy in all evaluated scenarios.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Environmental Sciences
Jilin Wang, Bin Wang, Juanjuan Liu, Wei Cheng, Jiping Zhang
Summary: This study established an inverse method for estimating the source term of unknown releases, which proved to be computationally efficient and relatively stable to uncertainties. It provides a perspective for emergency response to a toxic gas leak or terrorist attack.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Robotics
Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
Summary: This study introduces a novel approach for robots to learn task segmentation and skill libraries from unlabelled demonstration data. The approach also learns skill conditioning to understand possible sequences of skills. Evaluation on synthetic and real human demonstrations using Bayesian and variational inference shows successful learning capabilities.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Computer Science, Artificial Intelligence
Yuxiao Du, Yueqiang Zhong, Feng Chen, Qihua Huang, Qi Hu
Summary: This paper proposes an efficient and accurate work trajectory similarity matching method, which comprehensively considers the similarity between the actual work track and the predetermined track from the angles and distances. The improved algorithms are used to calculate the similarity, and the weighted results are evaluated to judge whether the actual work track meets the requirements of the predetermined track.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Engineering, Marine
Chunhua Tang, Meiyue Chen, Jiahuan Zhao, Tao Liu, Kang Liu, Huaran Yan, Yingjie Xiao
Summary: The proposed FOLFST method addresses the challenges of ship trajectory clustering by effectively identifying both overall and local features of trajectories, surpassing traditional algorithms in terms of noise recognition, computational efficiency, and other key metrics.
Article
Engineering, Marine
Dan Luo, Peng Chen, Jingsong Yang, Xiunan Li, Yizhi Zhao
Summary: This paper presents a supervised learning-based method for ship trajectory classification. A new ensemble classifier is proposed using a machine learning algorithm, and its performance is evaluated using ten-fold cross validation. The results show that the classifier has good performance in ship trajectory classification.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Physics, Multidisciplinary
Takayuki Mizuno, Shouji Fujimoto, Atushi Ishikawa
Summary: This study proposes a new method to convert individual daily trajectories into token time series using a tokenizer and a neural language model. The generated trajectories reproduce realistic properties of real trajectories.
FRONTIERS IN PHYSICS
(2022)
Article
Meteorology & Atmospheric Sciences
Otavio Nunes dos Santos, Leonardo Hoinaski
Summary: This study introduces a new 3D-PSCF-CONC method that can more accurately identify local and regional sources of air pollution, reducing the overcontribution of less polluted and high precipitation areas.
ATMOSPHERIC RESEARCH
(2021)
Article
Engineering, Civil
Boting Qu, Xinyu Ren, Jun Feng, Xin Wang
Summary: Ridesplitting is a convenient and budget-friendly for-hire transportation service that arranges shared rides on the fly, with effective rider allocation being a crucial component. The DRPP method proposed in this paper utilizes a grid network and historical GPS trajectories to predict pick-up probabilities and travel times, using ILSAS and TKdS-tree to improve efficiency for matching drivers and riders, which outperformed other methods in service rate, share rate, and rider waiting time in experiments.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Environmental
Xiaochen Zhang, Hongcheng Wei, Quanquan Guan, Xu Yang, Qiurun Yu, Mingzhi Zhang, Yankai Xia
Summary: Exploring the effects of maternal exposure to trace elements and toxic metals on infant continuous growth and trajectories at different stages is crucial for early-life health management. A total of 919 mother-infant pairs were included in a Chinese prospective cohort, and the urinary levels of 17 elements were assessed during early and late pregnancy. Longitudinal and high-dimensional data analysis revealed positive associations between early-pregnancy exposure to vanadium (V) and chromium (Cr) with length-for-age z-scores (LAZ). Six trajectories based on LAZ were identified, and maternal exposure to V and Cr in early pregnancy was associated with increased odds for the high-stable group. This study highlights the importance of early-pregnancy exposure to V and Cr for longitudinal changes in infancy anthropometry and growth trajectories, emphasizing the need for health management of pregnant women.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Mathematics
Baoyong Yan, Xiantao Zhang, Chengxu Tang, Xiao Wang, Yifei Yang, Weihua Xu
Summary: Drilling trajectory control in near-horizontal directional drilling in coal mines is currently based on manual skew data, leading to qualitative and variable results with high instability and uncertainty. To address this issue, this paper proposes a random forest regression-based method for drilling trajectory prediction, which is evaluated against other machine learning methods using experimental data. The paper selects three important variables (azimuth, inclination, and bend) as input variables and the increments in the borehole in different directions as output variables. The model is trained using the bootstrap self-service method and the random forest regression model, with parameter adjustments to improve prediction performance. Evaluation metrics, including R2 score, RAE, RMSE, and MSE, are used to assess the model. The experimental results demonstrate significant improvement in accuracy, meeting the error requirement for actual construction processes and enhancing safety.
Article
Engineering, Electrical & Electronic
Pengpai Wang, Peiliang Gong, Yueying Zhou, Xuyun Wen, Daoqiang Zhang
Summary: This study proposes a brain decoding model based on Chinese sign language to reconstruct the imagined 3D trajectories of human upper limb skeleton points. The experimental results show that the decoding performance of this model is significantly better than the contrast models.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Civil
Benjamin Coifman, Lizhe Li
Summary: This paper presents an efficient approach for evaluating image processing based vehicle trajectories. By flattening the trajectories, positioning errors can be quickly detected and fixed, providing accurate speed and acceleration data. The method can also generate vehicle trajectories directly from visual time-space diagrams and assess lateral positions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Remote Sensing
N. Miatselskaya, V. Kabashnikov, G. Milinevsky, A. Chaikovsky, V. Danylevsky, V. Bovchaliuk
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2016)
Article
Engineering, Multidisciplinary
K. A. Viazava, K. N. Kasparov, N. S. Miatselskaya, O. G. Penyazkov
MEASUREMENT TECHNIQUES
(2017)
Article
Remote Sensing
V. Kabashnikov, G. Milinevsky, A. Chaikovsky, N. Miatselskaya, V. Danylevsky, A. Aculinin, D. Kalinskaya, E. Korchemkina, A. Bovchaliuk, A. Pietruczuk, P. Sobolewsky, V. Bovchaliuk
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2014)
Article
Geography, Physical
Andrii Shelestov, Andrii Kolotii, Tatiana Borisova, Olena Turos, Gennadi Milinevsky, Igor Gomilko, Tatyana Bulanay, Oleg Fedorov, Leonid Shumilo, Liudmyla Pidgorodetska, Liudmyla Kolos, Arsenii Borysov, Natalia Pozdnyakova, Alexander Chunikhin, Marina Dudarenko, Arina Petrosian, Vassyl Danylevsky, Natalia Miatselskaya, Vasyl Choliy
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2020)
Article
Spectroscopy
A. P. Chaikovsky, A. I. Bril, A. S. Fedarenka, V. A. Peshcharankou, S. V. Denisov, V. P. Dick, F. P. Asipenka, N. S. Miatselskaya, Yu. S. Balin, G. P. Kokhanenko, I. E. Penner, S. V. Samoilova, M. G. Klemasheva, S. V. Nasonov, G. S. Zhamsueva, A. S. Zayakhanov, V. V. Tsydypov, A. Batbold, D. Azzaya, E. Enkhbat, D. Oyunchimeg, Nguyen Xuan Anh, Pham Xuan Thanh, Nguyen Van Hiep, Au Duy Tuan, B. Chen
JOURNAL OF APPLIED SPECTROSCOPY
(2020)
Article
Environmental Sciences
Gennadi Milinevsky, Natallia Miatselskaya, Asen Grytsai, Vassyl Danylevsky, Andrey Bril, Anatoli Chaikovsky, Yulia Yukhymchuk, Yuke Wang, Anatoliy Liptuga, Volodymyr Kyslyi, Olena Turos, Yuriy Serozhkin
Article
Spectroscopy
N. S. Miatselskaya, A. V. Skilandz, O. G. Penyazkov, A. I. Bril
Summary: An absorption spectroscopy method is proposed for estimating hydroxyl concentration without lasers and high-resolution spectrometers behind the reflected shock wave front. The feasibility of this method in shock tube experiments is demonstrated, and temporal profiles of hydroxyl concentration are successfully obtained during the induction period of self-ignition of a stoichiometric hydrogen-air mixture.
JOURNAL OF APPLIED SPECTROSCOPY
(2021)
Article
Environmental Sciences
Chenning Zhang, Valery Shulga, Gennadi Milinevsky, Vassyl Danylevsky, Yuliya Yukhymchuk, Volodymyr Kyslyi, Ivan Syniavsky, Mikhail Sosonkin, Philippe Goloub, Olena Turos, Andrii Simon, Vasyl Choliy, Tetiana Maremukha, Arina Petrosian, Vladyslav Pysanko, Anna Honcharova, Dmitry Shulga, Natallia Miatselskaya, Varvara Morhuleva
Summary: Extraordinarily high aerosol contamination was observed in the atmosphere over the city of Kyiv, Ukraine, during the March-April 2020 period. The source of contamination was the large grass and forest fires in the northern part of Ukraine and the Kyiv region. The findings highlight the importance of implementing strong measures for forest fire control and prevention in the Kyiv region, particularly in its northwest part, which still suffers from significant radioactive contamination from the Chernobyl disaster.
Article
Environmental Sciences
Natallia Miatselskaya, Gennadi Milinevsky, Andrey Bril, Anatoly Chaikovsky, Alexander Miskevich, Yuliia Yukhymchuk
Summary: Aerosol optical depth (AOD) is a key characteristic of atmospheric aerosol, and the AERONET network provides AOD data with low uncertainty. To improve data density, we merged AERONET observations with the GEOS-Chem model predictions using an optimal interpolation (OI) method.
Article
Spectroscopy
N. S. Miatselskaya, A. Bril, A. P. Chaikovsky, Yu Yu Yukhymchuk, G. P. Milinevski, A. A. Simon
Summary: This study validates the application of the optimal interpolation method to assimilate sparse observational data of aerosol optical thickness (AOT). The spatial and temporal correlation functions of AOT errors are obtained using the GEOS-Chem model. The results demonstrate that the optimal interpolation method significantly reduces the root-mean-square error of AOT estimates compared to model results.
JOURNAL OF APPLIED SPECTROSCOPY
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Anatoli Chaikovsky, Andrey Bril, Oleg Dubovik, Anton Fedarenka, Philippe Goloub, Qiaoyun Hu, Anton Lopatin, Tatyana Lapyonok, Natallia Miatselskaya, Benjamin Torres, David Fuertes, Vladislau Peshcharankou, Thierry Podvin, Ioana Popovici, Dong Liu, Zhengqiang Li, Ourania Soupiona, Maria Mylonaki, Lucia Mona, Aldo Giunta, Nikolaos Papagiannopoulos, Maria Rita Perrone, Salvatore Romano, Dimitris Balis, Nikolaos Siomos, Kalliopi-Artemis Voudouri, Livio Belegante, Doina Nicolae, Dragos Ene, Nicolae Ajtai, Horatiu Stefanie, Vassilis Amiridis, Alexandra Tsekeri, Daniele Bortoli, Maria Joao Costa, Ina Mattis, Francesc Rocadenbosch, Alejandro Rodriguez-Gomez, Michael Sicard, Alfonso J. Fernandez, Francisco Molero, Dietrich Althausen, Holger Baars, Juan Luis Guerrero Rascado, Pablo Ortiz-Amezcua, Jose Antonio Benavent Oltra, Andres Esteban Bedoya-Velasquez, Roberto Roman, Lucas Alados-Arboledas, Yurii Balin, Grigorii Kokhanenko, Ivan Penner, Boris Chen, Leonid Sverdlik, Genadi Milinevsky, Nobuo Sugimoto, Atsushi Shimizu, Tomoaki Nishizawa, Rei Kudo, Itaru Sano, Teppei J. Yasunari, Hitoshi Irie, Toshihiko Takemura, Sang-Woo Kim, Nguyen Xuan Anh, Pham Xuan Thanh, Aleksander Pietruczuk, Iwona S. Stachlewska, Alessia Sannino, Xuan Wang, Antonela Boselli
29TH INTERNATIONAL LASER RADAR CONFERENCE (ILRC 29)
(2020)
Article
Astronomy & Astrophysics
N. S. Miatselskaya, A. I. Bril, A. P. Chaikovsky, A. S. Fedarenka, G. P. Milinevsky
SPACE SCIENCE AND TECHNOLOGY-KOSMICNA NAUKA I TEHNOLOGIA
(2020)
Proceedings Paper
Meteorology & Atmospheric Sciences
Natallia Miatselskaya
REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XXIV
(2019)
Article
Astronomy & Astrophysics
N. S. Miatselskaya, V. P. Kabashnikov, A. V. Norko, A. P. Chaikovsky, A. I. Bril, G. P. Milinevsky, V. O. Danylevsky
SPACE SCIENCE AND TECHNOLOGY-KOSMICNA NAUKA I TEHNOLOGIA
(2017)
Article
Meteorology & Atmospheric Sciences
G. Milinevsky, V. Danylevsky, V. Bovchaliuk, A. Bovchaliuk, Ph Goloub, O. Dubovik, V. Kabashnikov, A. Chaikovsky, N. Miatselskaya, M. Mishchenko, M. Sosonkin
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2014)
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)
