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The Establishment of a Real-time Air Quality Map and Warning Mechanism Based on Health Impact - A Case Study in Taipei City

机译:基于健康影响的实时空气质量图和预警机制的建立-以台北市为例

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In this study, we used the measured air quality concentration on the road to map then verify the air quality map drawn in this study to improve accuracy. After the verification of the two seasons, it is found that the correctiveness of prediction of the empty map is not significant comparing to the actual value. It has been shown that the air quality forecast map can be used to anticipate the pollution concentration distribution. Air pollution maps and health effects maps show that CO leads to the highest mortality rate due to the highest medical costs incurred by NOx in 2015, because the increase in CO concentration caused by increased disease than other air pollutants. The results show that there is a significant difference between the hotspot area of health loss and population density. Therefore, for the key areas (Taipei City, five districts), the alarm is issued when the concentration exceeds the air quality standard and provides public precautions.
机译:在本研究中,我们使用道路上测得的空气质量浓度作图,然后验证在本研究中绘制的空气质量图,以提高准确性。在验证了两个季节之后,发现与实际值相比,空图预测的正确性并不重要。已经表明,空气质量预测图可用于预测污染浓度分布。空气污染图和健康影响图显示,由于2015年NOx引起的最高医疗费用,CO导致最高死亡率,这是因为疾病增加导致的CO浓度增加,而不是其他空气污染物。结果表明,健康损失的热点地区与人口密度之间存在显着差异。因此,对于重点区域(台北市,五个区),当浓度超过空气质量标准时会发出警报,并提供公共预防措施。

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