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首页> 外文期刊>Universal Journal of Environmental Research and Technology >Air Quality Modeling in Street Canyons of Kolhapur City, Maharashtra, India
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Air Quality Modeling in Street Canyons of Kolhapur City, Maharashtra, India

机译:印度马哈拉施特拉邦科尔哈普尔市街头峡谷的空气质量模拟

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摘要

Automobile transport has now become an inherent part of human life, and the negative aspects like air pollution are becoming more and more pronounced. Increased vehicular traffic is leading to deterioration of air quality in streets of Kolhapur city in recent years. It is very important to assess the impact of traffic related air pollution on human health, and to take administrative decisions for improving air quality. In present study, two street canyon models viz. STREET and STREET Box are applied to model the concentration of pollutants. The model results are based on traffic volumes, geometry of study area, and meteorological conditions prevailing in study area. Background values are obtained from National Ambient Air Quality Monitoring Station at Dabholkar Corner, Kolhapur. Hourly concentration of pollutants like SPM and SO2 are computed using the models and those values are compared against the observed values in the selected street to find out best fit model for conditions existing in Kolhapur. STREET Box model was found to fairly estimate concentration of pollutants while STREET model was found to underestimate concentrations. A more accurate method is required to estimate background concentrations.
机译:现在,汽车运输已经成为人类生活中不可或缺的一部分,而诸如空气污染的负面影响也越来越明显。近年来,越来越多的车辆通行导致科尔哈普尔市街道的空气质量恶化。评估与交通有关的空气污染对人体健康的影响,并做出行政决策以改善空气质量,这一点非常重要。在本研究中,有两个街道峡谷模型。 STREET和STREET Box用于模拟污染物的浓度。模型结果基于交通量,研究区域的几何形状以及研究区域中普遍存在的气象条件。背景值是从位于Kolhapur的Dabholkar Corner的国家环境空气质量监测站获得的。使用模型计算污染物(例如SPM和SO2)的每小时浓度,并将这些值与所选街道上的观测值进行比较,以找到针对Kolhapur中现有条件的最佳拟合模型。发现STREET Box模型可以公平地估算污染物的浓度,而STREET模型则可以低估污染物的浓度。需要一种更准确的方法来估算背景浓度。

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