Al-Rashidi M S, Nassehi V, Wakeman R J
Advanced Separation Technologies Group, Department of Chemical Engineering, Loughborough University, Leicestershire LE11 3TU, UK.
Environ Pollut. 2005 Nov;138(2):219-29. doi: 10.1016/j.envpol.2005.04.006.
The use of mathematical modelling for investigation of the efficiency of existing monitoring sites for the impact of SO(2) emissions from power stations in the state of Kuwait is described. The Industrial Source Complex Short Term (ISCST3) model is utilised to obtain the spatial and temporal variations of SO(2) over residential areas. Statistical comparison between the 50 highest daily measured and predicted SO(2) concentrations at six monitoring sites shows that the model is capable of generating results with accuracy of 60--94%. An important conclusion of this work is that the existing locations of the Kuwait-EPA monitoring stations are not suitable for measuring the actual impact of SO(2). Therefore, there is a need for relocation of these sites to register the highest levels of SO(2) emitted from the current power stations in the state of Kuwait.
描述了利用数学建模来调查科威特国现有监测站点对发电站二氧化硫排放影响的效率。使用工业源复杂短期（ISCST3）模型来获取居民区二氧化硫的时空变化。对六个监测站点50个最高日实测和预测二氧化硫浓度的统计比较表明，该模型能够产生准确率为60%至94%的结果。这项工作的一个重要结论是，科威特-环境保护局监测站的现有位置不适合测量二氧化硫的实际影响。因此，需要重新安置这些站点，以记录科威特国当前发电站排放的最高水平的二氧化硫。
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