首页> 外文会议>Risk analysis VII: simulation and hazard mitigation amp; Brownfields V: prevention, assessment, rehabilitation and development of brownfield sites >Risk analysis by emission source strengths and wind directions of trace gases at Map Ta Phut Industrial Estate, Rayong province, Thailand
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Risk analysis by emission source strengths and wind directions of trace gases at Map Ta Phut Industrial Estate, Rayong province, Thailand

机译:泰国罗勇府Map Ta Phut工业区的微量气体排放源强度和风向风险分析

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When air mass is flowing across the source area, it can lead to emissions and subsequently higher emissions of atmospheric concentrations of trace gases. It is well known that wind direction plays a significant role on atmospheric concentrations of persistent organic pollutants (POPs). While temperature and wind speed are obviously important parameters governing the atmospheric concentration of trace gases, these two parameters alone fail to entirely predict the atmospheric concentration of trace gases. Alternatively, wind direction may also be a controlling parameter for trace gas concentrations. Given that wind direction is measured as an angle (α) relative to true north (0), mean direction was determined by using trigonometric relations to determine the direction of the resultant of individual wind vectors. The emission source strength - wind direction relationship can be represented graphically by plotting R-value of (natural logarithm of partial pressure) vs against downwind angle (α) during the monitoring period. To apply this relationship, measured atmospheric concentrations must be expressed as partial pressures (P), which can be converted through the use of the ideal gas law with a temperature correction. The aims of this study are to statistically quantify the relationships between emission source strengths and downwind angles of sulphur dioxide, nitric oxide, nitrogen dioxide and ozone measured at five monitoring stations adjacent to Map Ta Phut Industrial Estate during 28/08/08 - 23/07/09. R-values of gaseous SO_2, NO, NO_2, NO_x and O_3 measured at POS and ITS tended to be higher than those of trace gases detected at other sites. Significant positive correlations (p < 0.05) were found in downwind angles ranging from 180° to 240° for SO_2 monitored at POS and ITS, suggesting the proper selection of these observatory sites as a part of risk analysis in a residential zone. In addition, the probability distribution analysis revealed that the emission source strengths of SO_2 in POS and ITS have relatively low fluctuations comparing with those of other observatory sites.
机译:当空气质量流经源区域时,可能导致排放,并随后导致大气中痕量气体浓度更高的排放。众所周知,风向对大气中持久性有机污染物(POPs)的浓度起着重要作用。尽管温度和风速显然是控制痕量气体大气浓度的重要参数,但仅靠这两个参数并不能完全预测痕量气体的大气浓度。或者,风向也可以是痕量气体浓度的控制参数。给定风向是相对于真北(0)的角度(α),通过使用三角关系来确定各个风向的合成方向,可以确定平均风向。排放源强度与风向的关系可以通过在监视期内绘制(分压的自然对数)的R值相对于顺风角(α)的曲线图来表示。要应用这种关系,测得的大气浓度必须表示为分压(P),可以通过使用理想气体定律和温度校正将其转换。这项研究的目的是统计量化在28/08/08-23 /在Map Ta Phut工业区附近的五个监测站测得的排放源强度与二氧化硫,一氧化氮,二氧化氮和臭氧的顺风角之间的关系。 07/09。在POS和ITS处测量的气态SO_2,NO,NO_2,NO_x和O_3的R值往往高于在其他位置检测到的痕量气体的R值。在POS和ITS监测到的SO_2的顺风角范围为180°至240°时,发现显着正相关(p <0.05),这表明对这些观测站的适当选择是住宅区风险分析的一部分。此外,概率分布分析表明,与其他观测站点相比,POS和ITS中SO_2的发射源强度波动较小。

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