Dylos监测:这是什么实际测量? PM2.5,PM10或PM0.5?

Experiment published on Saturday, May 3rd, 2014

The Dylos air quality monitor comes in several version: Standard and Pro: Quoted from Dylos's website, it says that " the DC1100 Pro has all the features of the standard DC1100 but with increased lower sensitivity - detecting particles down to 0.5 micron (0.5µ). The large particle size range is calibrated to 2.5 microns (2.5µ) and above".

Interestingly, the most common sizes in the Air Quality industry is 2.5 µ (refered as PM2.5) and 10 µ (refered PM10). In this case, does it really make sense for the Dylos pro to measure particules as small as 0.5 µ? Shouldn't instead measure 2.5µ and 10µ particules? Actually, maybe this 0.5 µ? claim is more a marketing argument rather than a technology argumenet, since, from the empirical data, what it measures is closer to 2.5 µ and 10 µ rather than 0.5 µ and 2.5 µ! Here is the explanation why:


On Thursday, April 10th 2014, in the morning, the Air in Beijing was very special: It is one of those rare days where the PM10 was the dominant pollutant, reaching up to 601 µm/m3 at noon time, which is equivalant to an AQI of 497 (at 24 hours exposure). At the same time, the trend for PM2.5 was going downward, i.e improving from 130 to 70 µm/m3 (equivalant to an AQI down from 189 to 158).

Usually (empirally verified), the dominent pollutant is the PM2.5 particules, and not PM10. Therefore, that special day, in order to ensure that this higher PM10 readings were not caused by defective equipment, we checked the Dylos readings to confirm the trend. This is what you can see from those two graphs. The zone highligted in orange is Thursday 10th, from midnight to noon. The graph on the right is plotting both BAM (in blue) PM2.5 readings (in µg/m3) and Dylos (in red) ≥0.5µ particule count, while the one on the left is for the BAM PM10 and Dylos ≥2.5µ.

Comparative analysis of Beijing Chaoyang Agricultural Exhibition Hall (朝阳农展馆) BAM monitoring stations and Beijing Sanlitun Dylos monitoring station (more info about the setup.)

If the Dylos monitoring claim to detect particules down to 2.5 µ for the large particule readings, then it should be expected that this large particules reading follow the PM2.5 trend. But this is not the case. Clearly, from the graph, the Dylos readings for large particules are following the PM10 trend while readings for small particule are following the PM2.5 trend. That clearly indicates that what the Dylos monitoring is detecting is closer to 2.5 µ and 10 µ rather than what they claim to be 0.5 µ and 2.5 µ.
Multidimensional correlation graph (credits: http://bl.ocks.org/mbostock/4063663.)

To further prove the point, the multidimensional correlation graph for all 4 readings is provided below. The color code used for the plot is orange for the Thursday morning readings, and blue for the other readings. The pairs "BAM PM10" and "Dylos >2.5" as well "BAM PM2.5" and "Dylos >0.5" is obviously showing a very good linear correlation, while the pair "BAM PM2.5" and "Dylos >2.5" is showing diversion, i.e. non linearity, especially for the given Thursday.


The conclusion for the above analysis is clear and straight forward: The claim from Dylos to detect particles down to 0.5 µ is more of a marketing argument than a technology fact. From the above data, there is no doubt that the Dylos monitor readings are closer to detect size of 2.5µ and 10µ rather than 0.5µ and 2.5µ. And, actually, this is even better like this, since those are the sizes that are used for Air Quality Standard!

The next important question is how to convert the Dylos readings into the AQI standard. This will be presented in our next experiment.



本网站采用的污染指数和颜色与EPA是完全相同的。 EPA的指数可以从 AirNow上查到

0 - 50一级(优)空气质量令人满意,基本无空气污染各类人群可正常活动
51 -100二级(良)空气质量可接受,但某些污染物可能对极少数异常敏感人群健康有较弱影响极少数异常敏感人群应减少户外活动

如果你想了解更多有关空气质量与污染,详见维基百科或者 AirNow

有关健康建议详见北京的Richard Saint Cyr MD医生的博客:www.myhealthbeijing.com

注意事项: 所有空气质量数据在发布时均未经验证,并且为了保证数据质量,这些数据可能随时被修改,恕不另行通知。 世界空气质量指数项目在编制此信息的内容时已经运用了所有合理的技能和谨慎,在任何情况下世界空气质量指数项目团队或其代理人将不会为由于提供此数据而直接或间接引起的伤害、合同损失、侵权及其他任何损失负责。



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