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Dispersion Modeling of SO2 Emissions from a Lignite Fired Thermal Power Plant using CALPUFF

机译:使用CALPUFF的褐煤火力发电厂SO2排放的扩散模型

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In this work, dispersion of sulfur dioxide (SO 2 ) in the vicinity of Mae Moh power plant, the largest fossil fuel power plant in northern Thailand, was investigated using well known air dispersion model. The area of 2,500 km 2 around the plant was studied, with spatial resolution of 200 x 200 m 2 . Publicly available MM5 and CALMET software were used to provide meteorological conditions within the study domain, while CALPUFF was used to simulate the patterns of SO 2 dispersion, based on actual plant operations in winter, summer and rainy seasons of the year 2009. Comparison against measurements from monitoring stations was made. Simulated results were found to agree qualitatively and quantitatively well with measured data. Root mean squared errors were found in the range between 2.19 to 8.32 μg/m 3 . The CALPUFF model can be used for SO 2 dispersion prediction with satisfactory accuracy.
机译:在这项工作中,使用众所周知的空气扩散模型研究了泰国北部最大的化石燃料发电厂Mae Moh发电厂附近的二氧化硫(SO 2)扩散。研究了植物周围2500 km 2的面积,其空间分辨率为200 x 200 m 2。根据2009年冬季,夏季和雨季的实际工厂运行情况,使用公开可用的MM5和CALMET软件提供研究范围内的气象条件,而CALPUFF用于模拟SO 2扩散的模式。从监测站。发现模拟结果在质量和数量上与测量数据吻合良好。均方根误差在2.19至8.32μg/ m 3之间。 CALPUFF模型可以令人满意的精度用于SO 2扩散预测。

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