PubMed · 7526376
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H Holzapfel. 1994. [Mobility and the environment].. https://pubmed.ncbi.nlm.nih.gov/7526376/
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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.
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BACKGROUND: Prevalence of the occupational disease laboratory animal allergy could be reduced if aeroallergen reduction strategies are identified. OBJECTIVE: To reduce worker exposure to Mus m 1, an allergen from laboratory mice, the effect of filter cage tops, increased room ventilation, negatively pressurized ventilated cages, and ventilated cage-changing tables were evaluated. METHODS: Aeroallergen was collected in the ambient air and in the breathing zone and quantified by using a competitive immunoassay. RESULTS: When mice were housed in unventilated cages, ambient allergen was reduced from 5.1 ng/m3 with no cage top to 1.3 ng/m3 with a simple filter-sheet top and 0.8 ng/m3 with a fitted filter-bonnet top (P <. 05). Room ventilation was increased from 6 to 10, 15, and 20 air changes per hour and had little effect on aeroallergen levels and no impact on airborne particulate matter. When mice were housed in ventilated cages, ambient allergen was significantly reduced from 1. 1 ng/m3 at positive cage pressure to 0.3 ng/m3 at negative cage pressure (P <.05). Negative cage pressure combined with handling animals under a ventilated table reduced breathing zone allergen from 28 ng/m3 with neither control strategy in place to 9 ng/m3 (P <. 05). Use of a ventilated table controlled bacterial contamination, measured as colony forming units, found in negatively pressurized cages. CONCLUSION: Three aeroallergen control strategies are use of filter cage tops, operation of negatively pressurized cages, and use of ventilated changing tables.