Corona virus disease-19 (COVID-19) has substantially reduced human activities and the associated anthropogenic emissions. This study quantifies the effects of COVID-19 control measures on six major air pollutants over 68 cities in North China by a Difference in Relative-Difference method that allows estimation of the COVID-19 effects while taking account of the general annual air quality trends, temporal and meteorological variations, and the spring festival effects. Significant COVID-19 effects on all six major air pollutants are found, with NO having the largest decline (-39.6%), followed by PM (-30.9%), O (-16.3%), PM (-14.3%), CO (-13.9%), and the least in SO (-10.0%), which shows the achievability of air quality improvement by a large reduction in anthropogenic emissions. The heterogeneity of effects among the six pollutants and different regions can be partly explained by coal consumption and industrial output data.
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http://dx.doi.org/10.1002/env.2673 | DOI Listing |
Environ Sci Technol
January 2025
Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California 94609, United States.
Exposure to household air pollution has been linked to adverse health outcomes among women aged 40-79. Little is known about how shifting from biomass cooking to a cleaner fuel like liquefied petroleum gas (LPG) could impact exposures for this population. We report 24-h exposures to particulate matter (PM), black carbon (BC), and carbon monoxide (CO) among women aged 40 to <80 years participating in the Household Air Pollution Intervention Network trial.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
China Three Gorges Corporation, Beijing 100038, China.
With the rapid decline in the levelized cost, offshore wind power offers a new option for the clean energy transition of the power sector in China's coastal areas. Here, we develop a power system capacity expansion and operation optimization model to simulate the penetration of offshore wind power in China and quantify the associated health effects. We find that offshore wind power has great potential in mitigating the negative impacts of existing coal-fired power emissions.
View Article and Find Full Text PDFData Brief
February 2025
Office of Air and Radiation, US Environmental Protection Agency, 109 TW Alexander Dr, PO Box 12055, RTP, NC 27711, USA.
The Expedited Modeling of Burn Events Results (EMBER) dataset consists of 36-km grid-spacing Community Multiscale Air Quality (CMAQ) photochemical modeling for the summer of 2023. For emissions, these simulations utilized representative monthly and day-of-week anthropogenic emissions from a recent year and preliminary day-specific 2023 fire emissions derived using BlueSky pipeline. The base model run simulated ozone concentrations across the contiguous US during Apr 11-Sep 29, 2023.
View Article and Find Full Text PDFSustain Earth
December 2023
Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands.
Unlabelled: Integrated Assessment Models (IAMs) and System Dynamic Models (SDMs) are starting to incorporate representations of the impact of environmental changes on health and socio-economic development into their modelling frameworks. We use this brief review to provide an overview of how health and well-being are currently represented in IAMs and SDMs. A grey literature search on 12 selected model host websites and their corresponding Wiki pages was conducted.
View Article and Find Full Text PDFJ Soc Cardiovasc Angiogr Interv
December 2024
Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Background: Advancements in cardiac catheterization have improved survival for pediatric congenital heart disease patients, but the associated ionizing radiation risks necessitate ethical consideration.
Methods: This study presents an empirical model, developed from 3131 unique pediatric procedures, to establish alert levels based on a patient's lateral thickness of the thorax for various procedural categories during diagnostic or interventional cardiac catheterization. The model uses linear regression of logarithmic reference air kinetic energy released per unit mass (KERMA) and air KERMA area product, also referred to as dose area product, to set alert levels at the top 95% and 99% of patient data.
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