PubMed · 13326844
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P B KLEVIN, M S WEINSTEIN, W B HARRIS. 1956. Ground level contamination from stack effluents.. https://doi.org/10.1080/00968205609344393
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Capturing the spatiotemporal distribution of pollutants in industrial parks remains challenging for regional air quality models because of their coarse resolution (3 km), resulting in uncertainties in local emission quantification. To address this, we developed the Integrated Multiscale Air Quality Modelling System for Industry (IAQMS-Industry), coupling the regional Nested Air Quality Prediction Modelling System (NAQPMS) with a city-scale chemical transport model. This framework integrates point-source locations and Gaussian plume dispersion to simulate particulate matter with a diameter smaller than 2.5 micrometres (PM2.5) at 100 m resolution. Applied to the Beijing Yi Zhuang and Tangshan industrial parks and evaluated against observations. The coupled model achieved a normalized mean bias (NMB) ranging from 3.1 % to 6.2 %, improving upon NAQPMS (-16.9 % to -7.7 %). Spatial analysis revealed that coarse regional grids underestimated the PM2.5​ concentrations at industrial sites by smoothing gradients, whereas IAQMS-Industry successfully resolved spatial patterns. Industrial point emissions accounted for 22.9 %-26.4 % of PM2.5 in the coupled model, which was significantly greater than the regional model estimates of 1.6 %-13.7 %. These findings indicate that regional models overestimate pollutant dispersion processes in industrial parks while underestimating local industrial impacts. By explicitly resolving point-source dynamics and linking them to regional transport, IAQMS-Industry provides a robust tool for designing targeted emission controls in industrial cities and balancing local air quality improvements with minimized regional pollution outflow. This study underscores the necessity of multiscale modelling for accurate source apportionment and informed environmental governance in industrial zones.
The object of this study is to evaluate the role of synoptic situations or the combination of several environmental parameters typical for regions close to big deserts, as possible exterior pathogenic factors, which give rise to a number of sometimes medically unexplained symptoms and disorders of human well-being. We suppose that one of the most important causes might be atmospheric electricity, whose role in human life, health and feelings can scarcely be exaggerated; in particular, our research is concentrated on the influence of electromagnetic fields on some subsystems of the human organism. Discussed below are the results of one of the initial stages of our research into the problem of the variations in the electrical state in connection with meteorological conditions in the surface atmospheric layer. The environmental electrical state is determined by either global electrical effects or local factors, as the content of the air column and the meteorological conditions in this volume are tightly connected with air streams. Especially in our region, located between the Mediterranean Sea and the huge African and Asian deserts, the direction, duration and speed of the winds must play the dominant role, due to their control over the content and concentration of air-suspended particles N(T). Desert winds bring increased N(T) of enlarged solid grains, mostly charged, hotter temperature T(0), dryness and other perturbations in the usual weather state and, finally, in the atmospheric electric field intensity E. Within limited intervals of wind speed V(w) (2-5 m x s(-1)) and concentration of enlarged solid grains N(T) (500-4500 grains cm(-3)), the correlation coefficients between E and N(T) and V(w) can reach more than 0.90. Outside these ranges, considerably increased N(T) or several combinations of wind direction with V(w) (not necessarily strong winds) lead to the principal change in the values of E and the form of its diurnal distribution from what is usual for stable weather. For moderately polluted air, the dependence of E on N(T) can be approximated well enough by a polynomial of the second degree; in a dust storm, this function is very close to the log-normal distribution.
This work studies the effect of water content on the aging of APC residues, with a liquid to solid ratio (L/S) of 0.25 or 10, aged with or without exposure to ambient air. After the residue was mixed with water, CaSO4 and (Na,K)Al3(SO4)2(OH)6 in the raw sample yielded ettringite. When CO2 were available, this ettringite was further transformed to gypsum, calcite and possibly gibbsite. Experimental data revealed that the concentrations of Pb, Zn, Cd, Hg, and Cu fell with age, whereas that of Cr increased. Given L/S=10, excess Ca2+ ions were present in the suspension, so a precipitate of primarily calcite crystals of sizes under 5 microm formed on the air-water surface. This layer significantly reduced the rates of decline of Pb, Zn, Cd and Hg contents, and also reduced the increasing rate of Cr content in the suspension. This result follows from the mass transfer barrier of CO2 added at the air-water surface and the occurrence of subsequent chemical reactions in the suspension. An estimate of the mass transfer rate revealed that the rate-controlling step with L/S=10 was the dissolution and diffusion of CO2 in the bulk solution. However, at L/S=0.25, the rate-limiting step was the dissolution of metals from ash particles. Water content is a very important process factor, whose distribution in the sample, and the resulting competition between carbonate ion flux and heavy metal flux, govern the reaction time required during the natural aging process.