Air Quality Monitoring
There is need for comprehensive datasets for all African cities to make conclusive comparisons on the state of air quality, and perhaps this is another opportunity to push for more monitoring across the continent.
By Deo Okure, AirQuality Scientist at AirQo
More than 7 million people (about twice the Greater Kampala population) die annually due to air pollution, and air pollution is estimated to be more deadly in Africa than malnutrition and unsafe sanitation. Air pollution starts when chemical substances suspended in the atmosphere exceed their natural concentrations, usually precipitated by human activities. Monitoring is the first step towards pollution management but access to continuous air quality data is a major challenge for Africa and the global South, largely because of the prohibitive costs of air quality monitoring.
Before 2017 when the US Mission initiated the first continuous air quality monitoring in Kampala, air quality stories relied heavily on inferences from outputs of uncoordinated attempts to monitor air quality, most of which were short-term studies. Localised air quality information was generally very scanty, other than a few published short-term studies dating back to 1987, which certainly cannot tell the whole story. Implicitly, it would be misguided to rely on data from a single monitoring location as the sole indication of pollution levels in Kampala.
Therefore the mixed messaging and alarming stories comparing Kampala to other cities across Africa is debatable These tend to exaggerate the pollution problem, without recognising that : i) air quality can be complex and varies over time and space, and ii) many other African cities lack continuous air quality data and any comparison would be limited to a handful of cities which wouldn’t represent the entire continent.
While pollution levels in Kampala are certainly above recommended health guidelines, I am confident to say that limited data has been partly to blame for the misreporting.
Fortunately, Kampala and Uganda’s air quality story has evolved quite drastically in the last 3 years, and the wealth of continuous air quality data is becoming a unique case study for Africa. AirQo, a research initiative of Makerere University has locally developed and deployed a network of over 85 low-cost monitors in Uganda, building on the initiative of the US Embassy since 2017. Today, we can have meaningful conversations on air quality and the scale and magnitude of pollution in Kampala and Uganda.
This article hopes to shed more light on the existing perception on Kampala air pollution levels.
What has been written about Kampala air quality?
Let me try to contextualise this but note that several media stories and specialised academic publications have been deliberately omitted because i want to draw attention to stories that purposely attempt to make a blanket quantification of the scale of air pollution in Kampala, while utilising and making references to actual air quality data.
Two studies by Makerere University (Nyangababo and Nyangababo & Salmeen) in 1987 found heavy metal traces within Kampala air-shed, an indication of contribution from industrial and traffic activities at the time. While this adds little to the present quantification of air quality in Kampala, it is a credible indication that Kampala air pollution has been building up over time. This is a good point to start.
In the later years, two pilot studies conducted between 2013 and 2014 (Makerere University), found PM2.5 levels about 104µg/m3 and 132µg/m3 respectively. Comparing these to the WHO recommended guidelines of 25µg/m3 for 24-hours, Kampala would be over 4–5 times more polluted relative to the health guidelines. The 2013 study was a 2-day pilot in one commercial location during the months of December and January, middle of dry season while the 2014 study (Kirenga and group) was a month-long cross-sectional assessment in Jinja and Kampala. This cross-sectional study presents a wider spatial scope and longer monitoring period and estimated 24-hour PM2.5 between 88.3????g/m3 and 156????g/m3, and NO2 (2-weeks average) 18.29–32.19 ????g/m3 for varying land uses. What this highlights is how pollution varies across the city for two pollutants, although this too couldn’t capture any seasonal variations as sampling was limited to a single meteorological month. It is safe to conclude that these results provide a great initial understanding of air pollution, but it is particularly important to appreciate the context of the studies, before making uninformed comparisons. We see for instance that the WHO ambient pollution database for countries and cities refers to data from the 2014, 2-day study in a single location by Schwander and group which could easily be misconstrued as city-wide/national average.
The European Commission brief of 2018 cites the annual concentration of PM2.5 as 80µg/m3 for urban areas in Uganda. Although it was not possible to retrieve this data source, the reporting raises two fundamental issues:
- Annual concentrations: for the earlier studies, references were made to WHO 24-hour guidelines because both studies were short-term and data was based on 24-hour means. Here, we would have to compare the 80µg/m3 against WHO annual guidelines of 10µg/m3, a lot more stringent than the daily guidelines as mentioned, in which case, urban areas in Uganda would have been 8 times more polluted in 2014.
- More crucially, this presentation would suggest that it was possible to obtain a single figure for air pollution in Uganda’s urban areas in 2014. This is close to impossible, for reasons already highlighted.
KCCA media release of 2018, Air Visual annual report of 2019, another blog make similar attempts to compare Kampala/Uganda air pollution with other cities and countries. But these all made references to a single data point at the US Mission monitoring location in Kampala. In these reports, Kampala air is reported as being 6 times (162µg/m3) worse than the WHO 24-hour guidelines, but are compared with seemingly longer-term averages for other cities of Beijing, 48????g/m3, Zurich, 21????g/m3, and Los Angeles, 25????g/m3. Air Visual reports and other online blogs on the other hand present Kampala alongside other cities. In fact, Kampala is presented as the second most polluted city in Africa and one of the most polluted in the world.
Again, this presentation raises three fundamental issues:
- It presupposes that the single monitoring location represents the pollution profile in Kampala
- Also, comparing Kampala with other African cities makes the same unrealistic assumption that a single value would accurately represent an entire city, and because Africa is largely unmonitored, comparing a few data points for a handful of cities would be rather misleading
- It is equally unrealistic to compare short term e.g. daily averages against longer-term e.g. annual averages, as short term averages tend to contrast steeply with longer-term measurements
Subsequent media articles categorise Kampala air as very unhealthy while referring to 2-day studies and a month-long study for two different pollutants while making comparisons to WHO annual guidelines and Air Quality Index. Again, more issues to dissect here:
- While the presentation of a 2-day study was factual and contextually accurate, it would be misleading for someone to refer to these as the representative annual pollution levels.
- The article on NO2 fails to mention that the 40µg/m³ WHO guidelines being referred to is actually for NO2 annual guidelines. NO2 is another major pollutant.
AirQo’s report on air quality amidst COVID-19 lockdown restrictions, and another media blog on pollution management in Kampala explore different temporal aspects while highlighting the key pollution drivers. These do not attempt to make any blanket quantification of pollution levels but rather present pollution variations over space and time for the duration considered. This approach is another way to comprehensively tell the air quality story over a given time.
Another briefing note on Kampala air quality by a research group from Birmingham University presents another interesting dimension. This note utilises visibility as a proxy for PM2.5 to fill the historical data gaps. Unsurprisingly, it estimates that present (2018) pollution is about 2.7 times the levels in the 1970s. However, these mesoscale estimates fall short when it comes to precise characterisation of actual air quality, usually provided by the high-resolution ground-level data. This report also reiterates the need for micro-environment assessments to evaluate exposure.
What then are the actual takeaways from these different narratives?
Evidently, it can be complicated and quite difficult to tell a plain air quality story, but context is very important if we want to understand air pollution. From this piece, we can highlight the following:
- Air quality varies considerably in time and space so one needs to be cautious when making direct comparisons of air quality levels
- Different pollutants behave differently so it is always important to know the context of any air quality information being presented. E.g. PM2.5 is the most common and most important pollutant because of adverse health implications but should not be confused with other pollutants.
- Kampala air quality is certainly largely above WHO guidelines, for both short-term (24-hour) and long-term (annual) exposure for PM2.5 but lower than levels in other industrialised countries. Little can be said about gaseous pollutants due to inadequate data
- While it is common practice to use data from background monitoring stations to characterise pollution levels, it might be more valuable to explore pollution variations for different micro-environments to gain more insights
In other words, Kampala could be one of the most polluted in Africa, but there is need for comprehensive datasets for all African cities to make conclusive comparisons, and perhaps that is another opportunity to push for more monitoring. Dense monitoring networks provide insights from different urban contexts and micro-environments, and avenues for discussions on management and mitigation.