Article
Chemistry, Multidisciplinary
Valeria B. Lopez-Cervantes, Dae Won Kim, Juan L. Obeso, Eva Martinez-Ahumada, Yoarhy A. Amador-Sanchez, Eli Sanchez-Gonzalez, Carolina Leyva, Chang Seop Hong, Ilich A. Ibarra, Diego Solis-Ibarra
Summary: The MOF-type Ni-2(dobpdc) exhibits high chemical stability towards SO2, high capacity for low-pressure SO2 capture, and exceptional cycling performance. Fluorescence experiments demonstrate the remarkable SO2 detection selectivity of Ni-2(dobpdc). Time-resolved photoluminescence experiments provide a plausible mechanism of SO2 detection by this Ni(ii)-based MOF material.
Article
Environmental Studies
Xin-Yi Song, Ya Gao, Yubo Peng, Sen Huang, Chao Liu, Zhong-Ren Peng
Summary: This study compared the performance of random forest and traditional land use regression models in establishing intra-urban spatial-temporal variation models for PM2.5 and NO2. The results demonstrated that the random forest approach offers a robust improvement in predicting daily spatial variations in ambient PM2.5 and NO2 compared to the land use regression model.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2021)
Article
Environmental Sciences
Ornella Luminati, Bartolomeu Ledebur de Antas de Campos, Benjamin Fluckiger, Alexandra Brentani, Martin Roosli, Gunther Fink, Kees de Hoogh
Summary: The study developed robust models to predict NO2 residential exposure in the study area of the Western Region Birth Cohort in Sao Paulo, finding that 67% of the population in the area is exposed to NO2 values over the WHO suggested annual guideline.
ENVIRONMENTAL POLLUTION
(2021)
Article
Environmental Sciences
Shali Tayebi, Jules Kerckhoffs, Jibran Khan, Kees de Hoogh, Jie Chen, Seyed Mahmood Taghavi-Shahri, Marie L. Bergmann, Thomas Cole-Hunter, Youn-Hee Lim, Laust H. Mortensen, Ole Hertel, Rasmus Reeh, Joel Schwartz, Gerard Hoek, Roel Vermeulen, Zorana Jovanovic Andersen, Steffen Loft, Heresh Amini
Summary: This study compared the differences in air pollution predictions between land use regression (LUR) models using fixed off-road monitors and models using mobile monitors in Copenhagen, Denmark. The results showed that there was a moderate correlation between the predictions from fixed monitors and mobile monitors at the street level, but a lower correlation at the residential level. Additionally, the mobile monitor-based LUR models revealed larger spatial contrasts compared to the fixed monitor-based models.
Article
Environmental Sciences
Thi Phuong Mai Nguyen, Thi Hieu Bui, Manh Khai Nguyen, Thi Hue Nguyen, Van Tu Vu, Hai Long Pham
Summary: The Covid-19 lockdowns have significantly reduced the concentrations of major air pollutants in Hanoi, with PM2.5 and NO2 levels experiencing the largest decreases. Additionally, there was a substantial decline in PM2.5 concentrations at sampling sites during the partial lockdown, and a strong negative correlation was observed between boundary layer height and daily mean PM2.5 in Hanoi.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Chemistry, Analytical
Yibiao Yang, Jinhuan Li, Zihui Zhang, Jianing Wang, Guanyu Lin
Summary: This study focuses on the concentration retrieval methods of SO2, NO2, and NO, which are the main atmospheric pollutants from fossil fuel combustion. A novel method is proposed to separate the overlapped absorption spectra of NO and SO2 or NO2. The experimental results demonstrate the effectiveness of these methods in removing the mutual interferences between the concentration retrieval of these gases, with high detection precision and good adaptability.
Article
Environmental Sciences
Inbo Oh, Mi-Kyoung Hwang, Jin-Hee Bang, Wonho Yang, Soontae Kim, Kiyoung Lee, SungChul Seo, Jiho Lee, Yangho Kim
Summary: This study utilized several hybrid, high-resolution models to simulate the variability of ambient NO2 concentrations in Seoul, South Korea. Results show that observation-fused hybrid models offered improved agreement with mobile measurements, highlighting the potential for enhanced predictive accuracy in air pollutant concentration assessments in complex urban areas.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Engineering, Chemical
Yingshu Liu, Ningqi Sun, Ziyi Li, Penny Xiao, Yi Xing, Xiong Yang, Chunyu Zhao, Chuanzhao Zhang, Haoyu Wang, Ralph T. Yang, Paul A. Webley
Summary: The dual-column distillation separation process proposed in this study can further separate and upgrade NO2 and SO2, achieving both economic value and environmental benefits. The liquid-phase feeding way shows advantages in lower energy consumption compared to the gas-phase counterpart, and the process demonstrates robustness against feed composition fluctuation.
SEPARATION AND PURIFICATION TECHNOLOGY
(2021)
Article
Multidisciplinary Sciences
Matthew J. Cooper, Randall Martin, Melanie S. Hammer, Pieternel F. Levelt, Pepijn Veefkind, Lok N. Lamsal, Nickolay A. Krotkov, Jeffrey R. Brook, Chris A. McLinden
Summary: Using satellite observations of NO2 column densities, we derived spatially resolved ground-level NO2 concentrations globally and compared them between cities during the COVID-19 lockdowns in 2020 and 2019. The study found that strict lockdown conditions were associated with a 29% ± 3% decrease in average country-level population-weighted NO2 concentrations compared to countries without lockdowns. The decrease in NO2 during COVID-19 lockdowns exceeded year-to-year decreases from emission controls and was comparable to reductions equivalent to 15 ± 4 years globally.
Article
Environmental Sciences
Tao He, Yang Tang, Rui Cao, Nan Xia, Binghe Li, Enzai Du
Summary: The concentrations of nitrogen dioxide (NO2) and sulfur dioxide (SO2) in Beijing, China exhibit different spatial and temporal patterns. The NO2 concentration decreases linearly in response to emission reduction policies, while the SO2 concentration decreases nonlinearly and has a legacy effect. These findings reveal the differences in urban-rural gradients of NO2 and SO2 concentrations and their distinct responses to anthropogenic emissions.
ENVIRONMENTAL POLLUTION
(2023)
Article
Economics
Yuze Wang, Tor Eriksson, Nengsheng Luo
Summary: widespread air pollution in developing countries is a major threat to public health and requires effective environmental regulation. This study examines the health impact of two policies targeting SO2 air pollution in China. The findings suggest that a command-and-control environmental regulation policy led to a reduction in air pollution-related diseases, while a market-oriented environmental regulation policy had no positive health effects.
CHINA ECONOMIC REVIEW
(2023)
Article
Environmental Sciences
Abosede S. Alli, Sierra N. Clark, Jiayuan Wang, James Bennett, Allison F. Hughes, Majid Ezzati, Michael Brauer, James Nimo, Josephine Bedford-Moses, Solomon Baah, Alicia Cavanaugh, Samuel Agyei-Mensah, George Owusu, Jill Baumgartner, Raphael E. Arku
Summary: This study developed high resolution spatiotemporal land use regression models to map fine particulate matter and black carbon concentrations in the Greater Accra Metropolitan Area in West Africa. The results showed that the population in this area is exposed to PM2.5 levels above the World Health Organization guideline, with higher exposures in poorer neighborhoods. These models can be used to support air pollution mitigation policies and health and climate impact assessments, and can be adapted to other African cities to fill the air pollution data gap in the region.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Chemistry, Multidisciplinary
Zoltan Kazi, Snezana Filip, Ljubica Kazi
Summary: This research uses an R program with linear regression to predict air pollutant values. The data used in this study were collected from air quality monitoring reports in Belgrade, published by the Environmental Protection Agency of the Republic of Serbia. The results show that the derived functions from linear regression can effectively predict air pollutant values.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Xueying Zhang, Allan C. Just, Hsiao-Hsien Leon Hsu, Itai Kloog, Matthew Woody, Zhongyuan Mi, Johnathan Rush, Panos Georgopoulos, Robert O. Wright, Annemarie Stroustrup
Summary: The study explores an integrated hybrid approach combining dispersion modeling and land use regression to predict daily NO2 concentrations with high spatial resolution in the New York tri-state area. The mixed model showed good prediction performance and R-LINE outputs significantly improved the CV R-2 in terms of overall, spatial, and temporal aspects. This hybrid approach allows for predicting daily NO2 at extremely high spatial resolution such as city blocks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Abosede S. Alli, Sierra N. Clark, Allison Hughes, James Nimo, Josephine Bedford-Moses, Solomon Baah, Jiayuan Wang, Jose Vallarino, Ernest Agyemang, Benjamin Barratt, Andrew Beddows, Frank Kelly, George Owusu, Jill Baumgartner, Michael Brauer, Majid Ezzati, Samuel Agyei-Mensah, Raphael E. Arku
Summary: Sub-Saharan Africa is experiencing rapid urbanization, with air pollution emerging as a major concern in growing cities, especially in Accra, Ghana. The study found that commercial, business, and industrial areas have the highest levels of PM2.5 pollution, with concentrations 2-4 times higher than WHO guidelines. Additionally, PM2.5 levels peak during the dry dusty Harmattan period, and have decreased by 50% compared to measurements in 2006-2007. Effective policies are needed to reduce pollution levels and protect public health in urban areas.
ENVIRONMENTAL RESEARCH LETTERS
(2021)