Environmental Engineering and Management, Asian Institute of Technology (AIT), Pathumthani, 12120, Thailand.
Environ Monit Assess. 2010 Dec;171(1-4):381-94. doi: 10.1007/s10661-009-1285-y. Epub 2009 Dec 23.
This paper presents monitoring results of daily brick kiln stack emission and the derived emission factors. Emission of individual air pollutant varied significantly during a firing batch (7 days) and between kilns. Average emission factors per 1,000 bricks were 6.35-12.3 kg of CO, 0.52-5.9 kg of SO(2) and 0.64-1.4 kg of particulate matter (PM). PM emission size distribution in the stack plume was determined using a modified cascade impactor. Obtained emission factors and PM size distribution data were used in simulation study using the Industrial Source Complex Short-Term (ISCST3) dispersion model. The model performance was successfully evaluated for the local conditions using the simultaneous ambient monitoring data in 2006 and 2007. SO(2) was the most critical pollutant, exceeding the hourly National Ambient Air Quality Standards over 63 km(2) out of the 100-km(2) modelled domain in the base case. Impacts of different emission scenarios on the ambient air quality (SO(2), PM, CO, PM dry deposition flux) were assessed.
本文介绍了对日用砖窑烟囱排放及其导出排放因子的监测结果。在一个烧制批次（7 天）和不同窑之间，单个空气污染物的排放变化显著。每千块砖的平均排放因子分别为 6.35-12.3 千克 CO、0.52-5.9 千克 SO₂和 0.64-1.4 千克颗粒物（PM）。使用改良的级联冲击式采样器确定了烟囱羽流中的 PM 排放粒径分布。使用工业源综合短期排放模型（ISCST3）对获得的排放因子和 PM 粒径分布数据进行了模拟研究。使用 2006 年和 2007 年同时进行的环境监测数据，成功地对本地条件下的模型性能进行了评估。在基础案例中，SO₂是最关键的污染物，在 100 平方公里模拟区域内，超过 63 平方公里的区域每小时超过国家环境空气质量标准。评估了不同排放情景对环境空气质量（SO₂、PM、CO、PM 干沉降通量）的影响。
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