Air pollution is a growing problem in most cities (big and small). The "Daily Dose" aims to disseminate the best available information on air pollution and engage in discussions to better understand the process of air quality management. For more details on the program, please visit http://www.urbanemissions.info
Friday, May 11, 2018
Breaking Down WHO 2018 AAP Database for Indian Cities
According to the database released by the World Health Organization (WHO) in April 2018, India has 14 of the top 15 most polluted cities in the world, when looking at PM2.5 pollution (particulate matter with aerodynamic diameter less than 2.5 micro-meter) and among the megacities of the world, Delhi tops the list for PM10 pollution (particulate matter with aerodynamic diameter less than 10 micro-meter). The WHO database covers 100 countries, for the period of 2011 and 2016.
That India accounts for 14 of the top 15 cities is not that surprising. This is partly because of an increase in the number of cities reporting measured PM2.5 and PM10. We argued in the past that Delhi gets undue attention of being the most polluted and/or the only polluted city in the country. It is about time we started to talk about air pollution in cities other than Delhi.
The table below presents a summary of the PM2.5 concentrations reported from India in the WHO (2018) database. For convenience and for greater relevance to human health, I am focusing on PM2.5 data only and not on PM10. The database does not report any information the other criteria pollutants – SO2, NO2, CO or Ozone.
For 33 cities, PM2.5 averages are from 2016 measurements and for another 102 cities, this value is based on a conversion factor between PM2.5 and PM10. All the PM10 measurements are older – 95% coming from 2012.
There is a significant difference between the averages – cities with PM2.5 measurements and cities with a converted value – converted averages are 37% lower than the measurements. In absolute terms, the measured averages are 8 times and the converted averages are 5 times, over the WHO guideline for annual PM2.5 (10 mg/m3). It is difficult to tell if the difference is coming from the fact that converted average is for year 2012 and the measurements are for 2016; or the conversion factor between PM2.5 and PM10 is questionable, which depends on multiple factors for any one city. Either way, while the database sheds some light the what the pollution levels are and that we have a long way to go to understand the true nature of the pollution levels in these cities.
While WHO claims that the list is not meant for ranking the global cities, it is inevitable that anybody looking at a list of 4,000 entries, is bound to rank them.
So, it is important to have some criteria in place to say whether the reported value for the city is representative or not. Of the top 15 cities, 14 from India, except for Delhi, Lucknow, and Agra, the remaining 11 cities – Kanpur, Faridabad, Varanasi, Gaya, Patna, Muzaffarpur, Srinagar, Gurgaon, Jaipur, Patiala, and Jodhpur, have one monitoring station each. I am not here to question if they deserve (or not deserve) to be on this list. Based on monitoring and modelling data from multiple sources, the Indo-Gangetic belt is known to be one of the most polluted regions in the world. My question is whether data based on one station per city is enough to rank them among the most polluted in the world?
The air pollution monitoring network is slowly expanding, as more cities are added to the regular manual monitoring network, under the national ambient monitoring program (NAMP) - operated and maintained by the Central Pollution Control Board (CPCB, New Delhi). As of May 2018, there are 700 manual stations measuring three criteria pollutants and 117 continuous stations measuring all the criteria pollutants. Note: of the 117 stations, 33 are operating in Delhi and most of the cities have just one continuous station, which is not a representative sample in any calculation.
In September 2017, the total number of continuous stations was 74 – that is a 50% increase in 6 months but still long ways from being representative of what is needed in Indian cities. I estimated that to spatially and temporally represent the pollution levels in India, we require 4,000 continuous stations – 2,800 in the urban areas and 1,200 in the rural areas. We need to move away from the manual monitoring network to continuous monitoring network, with real-time data dissemination, to reflect on latest information, instead of looking at data from 2 years ago.
Tuesday, May 01, 2018
Infograph - How Many Air Quality Monitoring Stations are Required in My City?
A general understanding is that an ambient monitoring station can represent an area covering 2 km radius, which translates to 15 sq.km (rounded off). If the city size is 1,000 sq.km, then you need 67 stations spread across the city. In addition, we must also consider population density, the range of industrial activities, and local landuse, which will further determine the required number of stations.
For full note on ambient air quality monitoring, click here.
For full note on ambient air quality monitoring, click here.
101 Notes on Air Pollution Monitoring
During a question and answer session in Delhi late last year, I was asked this question “Since Diwali, the Delhi government has installed 20 continuous monitoring stations. Despite that, why are the pollution levels still so high?”. The simple answer to this is that monitoring is a diagnostic tool to assess levels of air pollution and in and off itself does not reduce any air pollution. What it does do, is provide a starting point for understanding the air pollution problem and a direction for addressing pollution control options.
This however got me thinking. Having worked on air pollution related research for my entire career, I have to constantly remind myself of a cognitive bias while communicating on matters related to air pollution. This means that I (unknowingly) assume that others also understand the concepts related to air pollution as I understand them. This type of bias tends to be reinforced when speaking to other “experts” and the only way to break out of this bias is to communicate as clearly as possible to people. There are several topics within air pollution that I would like to speak about – such as source apportionment, dispersion modelling, emissions inventory, etc. However, in this discussion I will focus solely on “air pollution monitoring”.
This note is my attempt to explain air pollution monitoring – What purpose does it serve? Is ambient monitoring the same as emissions monitoring? How does one monitor? How do “low-cost” monitors fit in? These are some of the questions, I will try to answer in this brief (all the references used in this piece are from India, but the notes is relevant for other countries as well).
Direct link to the note
This however got me thinking. Having worked on air pollution related research for my entire career, I have to constantly remind myself of a cognitive bias while communicating on matters related to air pollution. This means that I (unknowingly) assume that others also understand the concepts related to air pollution as I understand them. This type of bias tends to be reinforced when speaking to other “experts” and the only way to break out of this bias is to communicate as clearly as possible to people. There are several topics within air pollution that I would like to speak about – such as source apportionment, dispersion modelling, emissions inventory, etc. However, in this discussion I will focus solely on “air pollution monitoring”.
This note is my attempt to explain air pollution monitoring – What purpose does it serve? Is ambient monitoring the same as emissions monitoring? How does one monitor? How do “low-cost” monitors fit in? These are some of the questions, I will try to answer in this brief (all the references used in this piece are from India, but the notes is relevant for other countries as well).
Direct link to the note