Found 9763 publications. Showing page 209 of 391:
Recent studies show that PCB (polychlorinated biphenyl) air concentrations remain surprisingly high in parts of Africa and Asia. These are regions where PCBs were never extensively used, but which are implicated as recipients of obsolete products and wastes containing PCBs and other industrial organic contaminants. We hypothesize that there may be different trends in emissions across the globe, whereby emissions of some industrial organic contaminants may be decreasing faster in former use regions (due to emission reductions combined with uncontrolled export), at the expense of regions receiving these substances as obsolete products and wastes. While significant efforts and achievements have been made by the scientific community to understand and predict LRT of such chemicals by air and water, it is cautioned that the global sources and fate of these chemicals still cannot be fully rationalized (nor controlled) without an understanding of emissions due to ¿LRT¿ by products and wastes. However, the potential for detrimental effects on the environment and human health due to LRT by air, water, or wastes should be of equal concern when managing and regulating industrial organic contaminants. This calls for a better integration of life-cycle approaches in the management and regulation of industrial organic contaminants in order to protect environmental and human health on a global scale. Yet, in comparison to LRT by air and water, little remains known about the LRT of industrial organic contaminants as obsolete products and wastes because of the often illicit nature of these operations.
2011
Pergamon Press
2019
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2024
Long-term changes of heavy metal transboundary pollution of the environment (1990-2010). EMEP contribution to the revision of the Heavy Metal Protocol. EMEP Status Report, 2/2012
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2023
This study investigates the impact of meteorological variations on the long-term patterns of PM2.5 in Delhi from 2007 to 2022 using the AirGAM 2022r1 model. Generalized Additive Modeling was employed to analyze meteorology-adjusted (removing the influence of inter-annual variations in meteorology) and unadjusted trends (trends without considering meteorology) while addressing auto-correlation. PM2.5 levels showed a modest decline of 14 μg m−3 unadjusted and 18 μg m−3 meteorology-adjusted over the study period. Meteorological conditions and time factors significantly influenced trends. Temperature, wind speed, wind direction, humidity, boundary layer height, medium-height cloud cover, precipitation, and time variables including day-of-week, day-of-year, and overall time, were used as GAM model inputs. The model accounted for 55% of PM2.5 variability (adjusted R-squared = 0.55). Day-of-week and medium-height cloud cover were non-significant, while other covariates were significant (p
Elsevier
2024
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