The impact-effect mathematical model, developed in 1991, improves on a previous mathematical model, and was developed to predict biological response as a function of air pollutant impact. Impact is defined here as exposure duration multiplied by air pollutant concentration raised to an exponent (t.cd). This paper's purpose is to plot and regress example biological effects as a function of air pollutant impact to determine how well the plotted data fit the impact-effect model for three target populations: man, animals, and plants (a wide range of life forms). The three biological effects are: for man, lung function decrease after exposure to ozone (O3); for animals, mouse mortality after exposure to nitrogen dioxide (NO2); and for plants, leaf injury after exposure to O3. The three resultant regression equations account for a substantial amount of the data variance: 95 percent for lung function, 92 percent for leaf injury, and 73 percent for mouse mortality. The model fits the animal and plant data that cover both acute and chronic exposures. The animal exposures ranged from 6 min to 1 yr. The plant exposures ranged from 0.75 to 552 h.
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http://dx.doi.org/10.1080/1073161x.1993.10467228 | DOI Listing |
JACC Adv
December 2024
Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Background: Air pollution is a significant environmental risk factor for cardiovascular diseases (CVDs), but its impact on African populations is under-researched due to limited air quality data and health studies.
Objectives: The purpose of this study was to synthesize available research on the effects of air pollution on CVDs outcomes in African populations, identify knowledge gaps, and suggest areas for research and policy intervention.
Methods: A systematic search of PubMed was conducted using terms capturing criteria ambient air pollutants (for example particulate matter, nitrogen dioxide, ozone, and sulfur dioxide) and CVDs and countries in Africa.
Water Sci Technol
January 2025
Chair of Water Resources Management and Modeling of Hydrosystems, Technische Universität Berlin, Gustav-Meyer-Allee 25, Berlin 13355, Germany.
This study explores the computational fluid dynamics (CFD) simulation of oxygen (O) and hydrogen sulfide (HS) mass transfer in a highly turbulent stirring tank. Using the open-source software OpenFOAM, we extended three-dimensional two-phase flow solvers with a rotating mesh feature to model the mass transfer processes between the water and air phases. The accuracy of these simulations was validated against experimental data, demonstrating a strong agreement in the mass transfer rates of HS and O.
View Article and Find Full Text PDFBMC Public Health
January 2025
Social Environment and Health Program, Institute for Social Research, University of Michigan, 426 Thompson St., Ann Arbor, MI, 48104, USA.
Introduction: Levels of plant-based aeroallergens are rising as growing seasons lengthen and intensify with anthropogenic climate change. Increased exposure to pollens could increase risk for mortality from respiratory causes, particularly among older adults. We determined short-term, lag associations of four species classes of pollen (ragweed, deciduous trees, grass pollen and evergreen trees) with respiratory mortality (all cause, chronic and infectious related) in Michigan, USA.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Bioscience and Biotechnology, Konkuk University, Seoul, 05029, Republic of Korea.
Exposure to particulate matter (PM) in the air harms human health. Most studies on particulate matter's (PM) effects have primarily focused on respiratory and cardiovascular diseases. Recently, IL-32θ, one of the IL-32 isoforms, has been demonstrated to modulate cancer development and inflammatory responses.
View Article and Find Full Text PDFEnviron Pollut
January 2025
Plant Physiology and Biochemistry Laboratory, Department of Botany, University of Delhi, Delhi 110007, India. Electronic address:
Urban air pollution has been a global challenge world-wide. While urban vegetation or forest modelling can be useful in reducing the toxicities of the atmospheric gases by their absorption, the surge in gaseous pollutants negatively affects plant growth, thereby altering photosynthetic efficiency and harvest index. The present review analyses our current understanding of the toxic and beneficial effects of atmospheric nitrogen oxides (NO), hydrogen sulphide (HS) and carbon monoxide (CO) on plant growth and metabolism.
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