香港的空氣質量健康指數概覽

Posted on June 3rd 2015
Share: aqicn.org/faq/2015-06-03/overview-of-hong-kongs-air-quality-health-index/hk

Note: This the fith article of series on 'Worldwide Air Quality Scales'.

It is already a long time since the Hong Kong EPA has updated its Air Quality Index standard from the traditional Air Pollution Index to the so called Air Quality Health Index (AQHI), but we never got a change until now to have a deeper look at it, which we will do in this article.

The Hong Kong EPA has actually done an excellent work at explaining how the AQHI is defined, and the information one needs to understand the AQHI is available from their website. The most obvious simplification is the change of the traditional 0-500 index into a new simplifed 0-10+ range, sub-divded in five health risk categories, as shown below:

LOW MODERATE HIGH VERY HIGH SERIOUS
1 2 3 4 5 6 7 8 9 10 10+

But there is actually much more than a range simplification: the new AQHI is also introducing the very clever concept of Added Health Risk (%AR), which was originally defined, in 2007, by a team of four partners from South Africa, and first used in Canada.

Unlike the traditional AQI for which the AQI is defined as the maximum of the Individual AQIs, the AQH is defining the overall Augmented Risk (AR) as the sum of the Individual pollutants Augmented risk (IAR). The idea is, for instance, that if both ozone (O3) and particule matter (PM2.5) levels are high, then the risk for health is likely twice as big as if only particule matter level was be high. In the case of the traditional AQI scale, the AQI does not taken into account the multiple pollutant situation, i.e. the AQI is only defined as the maximum level from all pollutants.
AQHI Augmented Risk = IAR ( NO2 ) + IAR ( SO2) + IAR ( O3 ) + max( IAR ( PM2.5 ), IAR ( PM10 ) )

Traditional AQI = max( IAQI ( PM2.5 ), IAQI ( PM10 ), IAQI ( O3 ), IAQI ( NO2 ), IAQI ( SO2 ) )
The Individual pollutants Augmented risk (IAR) are based on epidemiological studies using Hong Kong's health statistics and air pollution data. They work by defining a correlation cooeficient between pollutant level and relative risks, which are measured by hospital admissions. But because graphs are quite often much easier to understand, the IAR breakpoints are plotted on the graph below:

Few interesting points are worth noticing: First this is yet another evidence of epidimiologic correlation between PM10 and PM2.5 - meaning that for countries where only PM10 is available, it it possible to deduct a PM2.5 like AQI - like we explained in this article.

Second, the highest augmented risk for equivalent concentration is the Ozone. Because the way the epidemiologicial study is done, it most likely reflects the risk due to a prolonged exposure. In other words, if compared, then it should be done with the 8 hours Ozone standard rather than the hourly standard. That can actually be a problem since we have recently updated our system to the use hourly instant cast Ozone AQI as we do believe that was is important for the citizens as a health decision is the actual concentrations, and not the one from 8 hours ago.

Last, in case one pollutant is not available, then the calculation is not possible anymore. For this reason, the AQHI is using a 3 hours rolling average, so that, when a pollutant is missing, it can be estimated as the average as the previous 2 hours. Moreover, if there is more than one hour of missing pollutnat data, then the AQHI is not reported.
oOo

So, now that the concept behind the AQHI is understood, the last step is to have a practipal comparisons of the reported values using the traditional AQI scale and the new AQHI scale, which is done in the example below using the past 15 days data from Shanghai Jing'an station (静安监测站).

For the sake of a consistent visual comparison, we introduce an intermediate color for the moderate (3-6) levels, as following:
0-3
3-4.5
4.5-6
6
7-10
10+ . The visual comparison result speaks for itself, with AQHI reporting higher levels (
) than traditional AQI (
) when several pollutants are high at the same time (most of the time Ozone and PM2.5), and AQHI reporting low
when only one pollutant is high (happens when only PM2.5 is moderate
, but all other pollutants are low
). That means that no scale is better than any other one, but each scale is having their own strong points are reporting specific pollution event.

HK AQHI Standard

US AQI Standard

US Individual AQI



oOo

As the conclusion, what is the most important is to remember as that each scale has its own specificity, and the most important is to keep the diversity in the scales: We are starting to believe that having only one unique scale might not be the right solution, and we are now working on a global solution which will allow users the select the scale which best fits their needs.


Click here to see all the FAQ entries
  • Nitrogen Dioxyde (NO2) in our atmosphere
  • Ozone AQI Scale update
  • Kriging Interpolation




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    關於空氣質量與空氣污染指數

    本網站採用的污染指數和顏色與EPA是完全相同的。 EPA的指數可以從 AirNow上查到

    空气质量指数空气质量指数级别(状况)及表示颜色对健康影响情况建议采取的措施
    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
    101-150三级(轻度污染)易感人群症状有轻度加剧,健康人群出现刺激症状儿童、老年人及心脏病、呼吸系统疾病患者应减少长时间、高强度的户外锻炼
    151-200四级(中度污染)进一步加剧易感人群症状,可能对健康人群心脏、呼吸系统有影响儿童、老年人及心脏病、呼吸系统疾病患者避免长时间、高强度的户外锻炼,一般人群适量减少户外运动
    201-300五级(重度污染)心脏病和肺病患者症状显著加剧,运动耐受力降低,健康人群普遍出现症状儿童、老年人及心脏病、肺病患者应停留在室内,停止户外运动,一般人群减少户外运动
    300+六级(严重污染)健康人群运动耐受力降低,有明显强烈症状,提前出现某些疾病儿童、老年人和病人应停留在室内,避免体力消耗,一般人群避免户外活动
    (参考详见http://zh.wikipedia.org/wiki/空气质量指数)

    如果你想了解更多有關空氣質量與污染,詳見維基百科或者 AirNow

    有關健康建議詳​​見北京的Richard Saint Cyr MD醫生的博客:www.myhealthbeijing.com


    Usage Notice: All the Air Quality data are unvalidated at the time of publication, and due to quality assurance these data may be amended, without notice, at any time. The World Air Quality Index project has exercised all reasonable skill and care in compiling the contents of this information and under no circumstances will the World Air Quality Index project team or its agents be liable in contract, tort or otherwise for any loss, injury or damage arising directly or indirectly from the supply of this data.



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