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应用空气污染扩散模型进行源解析和综合工业区潘特纳加尔的模型性能评估。

Application of air pollution dispersion modeling for source-contribution assessment and model performance evaluation at integrated industrial estate-Pantnagar.

机构信息

Department of Environmental Science, G.B. Pant University of Agriculture & Technology, Pantnagar, U.S. Nagar, Uttarakhand, India.

出版信息

Environ Pollut. 2011 Apr;159(4):865-75. doi: 10.1016/j.envpol.2010.12.026. Epub 2011 Jan 26.

Abstract

Source-contribution assessment of ambient NO₂ concentration was performed at Pantnagar, India through simulation of two urban mathematical dispersive models namely Gaussian Finite Line Source Model (GFLSM) and Industrial Source Complex Model (ISCST-3) and model performances were evaluated. Principal approaches were development of comprehensive emission inventory, monitoring of traffic density and regional air quality and conclusively simulation of urban dispersive models. Initially, 18 industries were found responsible for emission of 39.11 kg/h of NO₂ through 43 elevated stacks. Further, vehicular emission potential in terms of NO₂ was computed as 7.1 kg/h. Air quality monitoring delineates an annual average NO₂ concentration of 32.6 μg/m³. Finally, GFLSM and ISCST-3 were simulated in conjunction with developed emission inventories and existing meteorological conditions. Models simulation indicated that contribution of NO₂ from industrial and vehicular source was in a range of 45-70% and 9-39%, respectively. Further, statistical analysis revealed satisfactory model performance with an aggregate accuracy of 61.9%.

摘要

在印度潘特纳加尔进行了环境 NO₂浓度的源贡献评估,通过模拟两种城市数学扩散模型,即高斯有限线源模型(GFLSM)和工业源综合模型(ISCST-3),并评估了模型性能。主要方法是制定综合排放清单、监测交通密度和区域空气质量,并最终模拟城市扩散模型。最初,发现 18 家工业企业通过 43 个高架烟囱排放了 39.11 千克/小时的 NO₂。此外,以 NO₂ 计算的车辆排放潜力为 7.1 千克/小时。空气质量监测划定了 32.6μg/m³的年平均 NO₂浓度。最后,结合开发的排放清单和现有气象条件,对 GFLSM 和 ISCST-3 进行了模拟。模型模拟表明,工业和车辆源对 NO₂的贡献范围分别为 45-70%和 9-39%。此外,统计分析显示模型性能令人满意,综合精度为 61.9%。

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