Article
Environmental Sciences
Lauren E. Padilla, Geoffrey Q. Ma, Daniel Peters, Megan Dupuy-Todd, Ella Forsyth, Amy Stidworthy, Jim Mills, Stefan Bell, Idris Hayward, Georgie Coppin, Katie Moore, Elizabeth Fonseca, Olaekan A. M. Popoola, Felicia Douglas, Greg Slater, Karin Tuxen-Bettman, David Carruthers, Nicholas A. Martin, Roderic L. Jones, Ramon A. Alvarez
Summary: The benefits of monitoring ambient air pollution with instruments mounted to ground-based, moving platforms include increased spatial resolution and synchronous, fast-response measurements. However, obtaining repeat visits at each location is necessary to achieve reliable and representative pollution estimates. This study provides generalizable approaches to quantifying sampling uncertainty and demonstrates their usefulness in analyzing mobile monitoring data.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Public, Environmental & Occupational Health
Karol Baca-Lopez, Cristobal Fresno, Jesus Espinal-Enriquez, Mireya Martinez-Garcia, Miguel Angel Camacho-Lopez, Miriam V. Flores-Merino, Enrique Hernandez-Lemus
Summary: The assessment of air quality in Mexico City shows that monitoring stations adequately cover the 16 boroughs, except for SO2 which has a shorter spatial range. The concentrations of NO and NOx must be taken into account for their long-range dispersion and potential impact on public health. This analysis aims to propose systematic criteria for the location of new monitoring stations.
FRONTIERS IN PUBLIC HEALTH
(2021)
Article
Environmental Sciences
Estela Blanco, Francisco Rubilar, Maria Elisa Quinteros, Karen Cayupi, Salvador Ayala, Siyao Lu, Raquel B. Jimenez, Carola A. Blazquez, Juana Maria Delgado-Saborit, Roy M. Harrison, Pablo Ruiz-Rudolph, Juan Pablo Cardenas
Summary: In Temuco, a medium-sized city in Chile, residential wood-burning in winter causes severe air pollution. Through mobile measurements, the distribution of particulate matter during winter nights was spatially characterized. Variations in PM concentrations among neighborhoods suggest the importance of targeted interventions for air pollution mitigation.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Geography
Ye Tian, An Wang, Simone Mora, Priyanka deSouza, Xiaobai Yao, Fabio Duarte, Hui Lin, Carlo Ratti
Summary: Air pollution poses a significant threat to public health. In conventional Land Use Regression models for air pollution prediction, important factors such as urban forest involvement and urban form representation, as well as scale sensitivity analysis of model variables, have been overlooked. This study addresses these issues by incorporating lacunarity analysis, 2-D and 3-D urban form characterization, and exploring the impact of tree diversity on air pollution distribution. The findings provide valuable insights for environmental scientists and urban planners aiming to improve air quality.
Article
Environmental Sciences
Yan Liu, Jiawei Tian, Wenfeng Zheng, Lirong Yin
Summary: This paper discusses the spatial and temporal distribution of severe haze in China, analyzing the impact of economy and energy structure on haze. It provides references for dealing with haze weather and controlling air pollution in China. The study found that haze and PM2.5 concentrations are mainly distributed in the northern regions of China, with more occurrences in winter and less in summer.
Article
Multidisciplinary Sciences
Sarah E. Chambliss, Carlos P. R. Pinon, Kyle P. Messier, Brian LaFranchi, Crystal Romeo Upperman, Melissa M. Lunden, Allen L. Robinson, Julian D. Marshall, Joshua S. Apte
Summary: This study reveals that Hispanic and Black populations in urban areas are exposed to higher levels of ultrafine particles, nitrogen dioxide, and nitric oxide (8-30% above average) compared to White populations (9-14% below average). These racial/ethnic disparities in air pollution exposure are influenced by regional concentration gradients and demographic differences among cities and urban districts, as well as localized pollution peaks.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Environmental Sciences
Yanju Chen, Peishi Gu, Nico Schulte, Xiaochi Zhou, Steve Mara, Bart E. E. Croes, Jorn D. D. Herner, Abhilash Vijayan
Summary: This paper presents an integrated mobile measurement and data analysis approach to study community-level air pollution patterns. The study found that traffic was the dominant primary source of air pollution in both urban and suburban settings. It also identified the contribution of regional and local sources to air pollution and suggested the use of repeated measurements for mapping air pollution patterns within the community.
ATMOSPHERIC ENVIRONMENT
(2022)
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
Biotechnology & Applied Microbiology
A. Zafra-Perez, C. Boente, A. Sanchez de la Campa, J. A. Gomez-Galan, J. D. de la Rosa
Summary: This study proposes a novel methodology for the space-time monitoring of PM concentrations in open-pit mines using mobile low-cost sensors. The study revealed the main sources of PM within the mine and discovered the routes of escape of fugitive emissions from the mine. These findings are important for solving the monitoring issue in mining ambiances and promoting the environmentally friendly development of mines.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2023)
Article
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)
Article
Environmental Sciences
A. Samad, U. Vogt
Summary: This study focused on the air quality in cities, particularly in Stuttgart, Germany, using a mobile measurement platform with a bicycle. The results showed a high spatial variability in pollutant concentration, influenced by factors such as local traffic, measurement location, and meteorological conditions. The use of a bicycle as part of the mobile measurement platform proved to be highly adaptive and flexible, providing valuable information on spatial distribution of pollutants.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Tie Zhang, Guijie Ding, Jiangping Zhang, Yujiao Qi
Summary: This study evaluated the spatial heterogeneity of aboveground forest biomass in Guizhou province and analyzed the contribution rates of biotic and abiotic factors to the spatial variation. It was found that biotic and abiotic factors contributed 34.4% and 19.2% to the spatial variation of forest biomass, with stand average height and annual precipitation having the greatest influence. Spatial factors only explained 0.7% of the spatial variation, indicating that they could be explained by some measured abiotic factors.
Article
Engineering, Environmental
Mei W. Tessum, Lianne Sheppard, Timothy Larson, Timothy R. Gould, Joel D. Kaufman, Sverre Vedal
Summary: This study investigates the use of mobile or stationary passive sampling device (PSD) monitoring data collected over a single 2-week period in improving air pollution models in predicting NO2 and NOx concentrations over a 9-year study period. Results show that including mobile or PSD data substantially enhances model performance, particularly in areas with initially poor model performance.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Environmental Sciences
Zhendong Yuan, Jules Kerckhoffs, Youchen Shen, Kees de Hoogh, Gerard Hoek, Roel Vermeulen
Summary: Mobile air quality measurements collected for a short period of time on roads have limitations in estimating long-term concentrations at residential addresses. To address this issue, the Global2Local model was proposed, using long-term measurements collected over a larger geographical area as transfer targets. Empirical testing showed that the airshed countries scale provided the lowest errors, while the Europe-wide scale had the highest R2. The Global2Local model significantly reduced errors compared to local mobile and global LUR models, improving the accuracy in mapping long-term residential concentrations.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Yuan-Chien Lin, Chun-Yeh Lai, Chun-Ping Chu
Summary: This study analyzed the diffusion and spatial risk of air pollutants from the petrochemical industry using meteorological observation data and air simulation models. It found that pollution concentration is predominantly in the northeast during monsoon season, while it is more evenly distributed during April to September. The simulated pollutant concentrations overlapped with high-risk population clusters, such as schools and hospitals.
ENVIRONMENTAL RESEARCH
(2021)
Article
Medicine, General & Internal
Meghan Winters, Michael Branion-Calles, Suzanne Therrien, Daniel Fuller, Lise Gauvin, David G. T. Whitehurst, Trisalyn Nelson
Article
Engineering, Civil
Meghan Winters, Jaimy Fischer, Trisalyn Nelson, Daniel Fuller, David G. T. Whitehurst
TRANSPORTATION RESEARCH RECORD
(2018)
Article
Computer Science, Information Systems
Jessica L. Fitterer, Trisalyn A. Nelson, Timothy Stockwell
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2018)
Article
Public, Environmental & Occupational Health
Yan Kestens, Meghan Winters, Daniel Fuller, Scott Bell, Janelle Berscheid, Ruben Brondeel, Michael Cantinotti, Geetanjali Datta, Lise Gauvin, Margot Gough, Karen Laberee, Paul Lewis, Sebastien Lord, Hui ( Henry) Luan, Heather McKay, Catherine Morency, Nazeem Muhajarine, Trisalyn Nelson, Callista Ottoni, Zoe Poirier Stephens, Caitlin Pugh, Gabrielle Rancourt, Martin Shareck, Joanie Sims-Gould, Meridith Sones, Kevin Stanley, Benoit Thierry, Calvin Thigpen, Rania Wasfi
Article
Economics
Michael Branion-Calles, Trisalyn Nelson, Daniel Fuller, Lise Gauyin, Meghan Winters
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2019)
Article
Environmental Sciences
S. P. Kearney, N. C. Coops, G. B. Stenhouse, T. A. Nelson
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2019)
Article
Multidisciplinary Sciences
Esma S. Gel, Megan Jehn, Timothy Lant, Anna R. Muldoon, Trisalyn Nelson, Heather M. Ross
Review
Computer Science, Information Systems
Vanessa Brum-Bastos, Marcelina Los, Jed A. Long, Trisalyn Nelson, Urska Demsar
Summary: The research emphasizes the importance of context in animal movement, introduces the concept of Context-Aware Movement Analysis (CAMA), and highlights the focus areas for future research, including data integration, temporal dynamics, and information extraction from contextualized data.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
Article
Multidisciplinary Sciences
T. A. Nelson, M. F. Goodchild, D. J. Wright
Summary: Science, traditionally driven by curiosity and pursuit of truth and knowledge, is now being influenced by ethics, empathy, and equity. Geographic information science (GIScience) aims to use a geographic approach to accelerate the response to these 3Es, identifying priority issues and research needs. This article discusses ethical issues related to locational privacy and cartographic integrity, the limitations of data representativeness and inadvertent inferential error in building empathic knowledge, and how GIScientists can promote equity through supporting social justice efforts and democratizing access to spatial science. The article concludes with a call to action for scientists to engage in a fundamentally different science that responds to the 3Es and strives for change by practicing humility, broadening measures of excellence and success, diversifying networks, and creating inclusive pathways to education.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Green & Sustainable Science & Technology
Trisalyn A. Nelson, Colin Ferster, Avipsa Roy, Meghan Winters
Summary: Cities are investing in infrastructure to improve the safety and attractiveness of cycling. However, using data to support decision making and ensure representativeness is a challenge. This study applies ecological classification methods to diverse spatial data on the built environment, communities, and bicycling, in order to classify street and path segments and map streetscape categories. The approach is piloted in Ottawa, Canada and demonstrates how streetscape categories can be used for monitoring, safety, and infrastructure interventions.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Review
Transportation
Debjit Bhowmick, Meead Saberi, Mark Stevenson, Jason Thompson, Meghan Winters, Trisalyn Nelson, Simone Zarpelon Leao, Sachith Seneviratne, Christopher Pettit, Hai L. Vu, Kerry Nice, Ben Beck
Summary: Estimation of bicycling volumes plays a crucial role in transportation planning and policy implementation, but there is limited literature on link-level volume estimation methods due to sparse bicycle data. This paper conducts a scoping review to identify existing methods and provides interesting findings and recommendations for future research.
Article
Geography
Peter Kedron, Amy E. Frazier, Andrew B. Trgovac, Trisalyn Nelson, A. Stewart Fotheringham
Summary: The scientific method emphasizes the reproducibility and replicability of research designs and results, but recent findings in some disciplines show that many studies do not meet this standard, leading to discussions on reproducibility and replicability. Geography, due to the complexities of geographic phenomena and spatial data analysis, is vulnerable to criticism, highlighting the need to address these issues.
GEOGRAPHICAL ANALYSIS
(2021)
Article
Green & Sustainable Science & Technology
Colin Ferster, Jaimy Fischer, Kevin Manaugh, Trisalyn Nelson, Meghan Winters
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2020)
Article
Public, Environmental & Occupational Health
Michael Branion-Calles, Meghan Winters, Trisalyn Nelson, Audrey de Nazelle, Luc Int Panis, Ione Avila-Palencia, Esther Anaya-Boig, David Rojas-Rueda, Evi Dons, Thomas Gotschi
JOURNAL OF TRANSPORT & HEALTH
(2019)
Article
Economics
Calvin Thigpen, Jaimy Fischer, Trisalyn Nelson, Suzanne Therrien, Daniel Fuller, Lise Gauvin, Meghan Winters
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)