Figure 1: A very smoggy day in Beijing, Sunday, Jan. 13, 2013 (from Yahoo News) |
Industries,
cars and trucks fuel or biomass combustion emit complex mixtures of air
pollutants, many of which are harmful to health. Of all of these pollutants,
fine particulate matter (PM) pollution has the greatest effect on human health.
Most
sources of emissions are mobiles motorcars, motorcycles and stationary sources
such as power plants. Moreover some PM pollution is issued from fire of forest
biomass exacerbated by global warming (see my 14 Sep 2012 post on Sumatra open
fires).
Fine
particulate matter is associated with a broad spectrum of acute and chronic
illness, such as lung cancer and cardiopulmonary disease.
Worldwide,
it is estimated to cause about 8% of lung cancer deaths, 5% of cardiopulmonary
deaths and about 3% of respiratory infection deaths (see WHO 2009 Global health risk report).
Particulate
matter pollution is an environmental health problem that affects people
worldwide, but middle-income countries are disproportionately more concerned by
this burden.
The Global Burden of Diseases 2010 report methodology
The
Global Burden of Diseases, Injuries, and Risk Factors 2010 Study (GBD 2010)
published in Dec 2012 by The Lancet, is the single largest and most detailed
scientific effort ever conducted to quantify levels and trends in health.
It is a global effort with 488 authors from 50 countries, including 26 low- and middle-income countries, led by the Institute for Health Metrics and Evaluation (IHME) at the University of Washington. GBD 2010 constitutes a unique platform to compare the magnitude of diseases, injuries, and risk factors across age groups, sexes, countries, regions, and time.
It is a global effort with 488 authors from 50 countries, including 26 low- and middle-income countries, led by the Institute for Health Metrics and Evaluation (IHME) at the University of Washington. GBD 2010 constitutes a unique platform to compare the magnitude of diseases, injuries, and risk factors across age groups, sexes, countries, regions, and time.
PM
pollution of fine particulate matter smaller than 2.5µm concentration in the
ambient air (PM2.5 expressed in µg/m3) is a useful indicator to the risk
associated to an exposure of mixture of pollutant from diverse sources: transportation emissions, windblown dust,
ashes from burning of biomass or coal from power plants.
The
TM5 simulation model has been used to measure the pollutants level from
satellite observations and ground observations. TM5 is a complex 3-dimensional
global atmospheric model which simulates the concentrations of the various
atmospheric trace gases, such as greenhouse gases (carbon dioxide (CO2),
methane (CH4), and nitrous oxide (N20)), chemically active species (e.g. ozone
(O3)), and aerosols.
Existing
studies cover mostly small concentration (up to 30 µg/m3) while much higher
concentration have been recorded in Asian cities and elsewhere. The relation
between health hazards and concentration is probably nonlinear.
Relative
risk estimation of associated mortalities are mainly for the following outcome:
ischemic heart disease, stroke, lung cancer, chronic obstructive pulmonary
disease, acute lower respiratory tract infection etc.
Each
risk factor is associated with a cluster of disease outcome that may cause
death. Inversely each disease could proceed from a cluster of risks. Smoking
and PM pollution are 2 different risks but which outcome diseases are very similar.
Asia Pacific: ambient PM air pollution impacts on health
Outdoor PM air pollution in 2010 (see Figure
2) contributed to 1,270, 000 premature deaths in low and middle income East Asia countries (China & North Korea),
which is about 40% of the global worldwide total amounting to 3,220,000 deaths. This is equivalent to the loss of 25 mil healthy years of life in China and North Korea while it is the 4th most important health risk in this area.
Figure 2 : Asia Pacific death counts from PM air pollution over 1990- 2010 (with Australasia too small to be seen) |
In others low and middle income countries, PM
pollution contributed to 767,000 and 164,000 premature deaths respectively in
South and Southeast Asia (see Figure 2 above).
These death counts increased a lot over the last 20
years period for low and middle income countries: in East (+35% mostly China),
South (+43% mostly India, Bangladesh, Pakistan ) and Southeast Asia (+50%
mostly ASEAN countries).
In other high income countries, these death
counts are only 88,000 while increasing only moderately over 1990-2010: in Asia
Pacific (+12% Brunei, Japon, South Korea and Singapore) and Australasia (1779 +31% Australlia, New Zealand) and as a result the death count is too small to be seen in Figure 2.
Asia Pacific: ambient PM air pollution impacts compared between various Asian countries
From
the above figures we can derive the death counts per million people after
averaging by each cluster of countries’ populations over 1990-2010. The
following Figure 3 presents the death
counts from PM air pollution per million people over 1990-2010.
Figure 3 : Asia Pacific death counts from PM air pollution as part of the overall population over 1990-2010 |
For low and middle
income countries:
East and Southeast
Asia increased by 13-15% while South Asia keeps a fixe level.
It means that the 2 first clusters of countries have been hugely impacted by PM air pollution, while South Asia cluster of country is mostly the result of its population's size.
It means that the 2 first clusters of countries have been hugely impacted by PM air pollution, while South Asia cluster of country is mostly the result of its population's size.
For high income
countries:
The death counts per
mil people increased very moderately +1% in Australasia and +4% in Asia Pacific
high income countries.
Asia Pacific: ambient PM air pollution impact as part of the overall health risks
The
4 following Figures 4, 5, 6 & 7 present the 10 biggest health risks in 2010
as established by GBD 2010, with the 1990 values given as a comparison. The
horizontal scale is also the same.
In
all countries the first risk is the high blood pressure which is a
physiological disorder deriving from a disturbance of normal functioning at the
level of organs and systems within the human body. This risk level is about the
same 1,300 to 1,400 death counts per mil people for most countries, South Asia excepted.
East Asia:
In East Asian low and middle income countries, it should be highlighted that the PM air pollution death count (918 ranked 4) is about the same as the smoking habit’s outcome (1058 ranked 3): so the PM air pollution kills as much people each year as the tobacco.
The main risk in 1990 was the household pollution from solid fuel which in 2010 is now ranked 5 after PM air pollution.
East Asia:
In East Asian low and middle income countries, it should be highlighted that the PM air pollution death count (918 ranked 4) is about the same as the smoking habit’s outcome (1058 ranked 3): so the PM air pollution kills as much people each year as the tobacco.
The main risk in 1990 was the household pollution from solid fuel which in 2010 is now ranked 5 after PM air pollution.
Figure 4: The 10 highest health risks in East Asia low and middle income countries China and North Korea from GBD 2010 |
South Asia:
In South Asian countries the PM air pollution death counts (486 ranked 5) is much smaller than smoking risk (ranked 3), the household air pollution is high (ranked 2) and the general profile is at a much lower level: the blood pressure death counts (ranked 1) is nevertheless half the value of East Asian countries.
Southeast Asia:
In Southeast Asian countries: apart from the PM air pollution, the 10 first risks’ profile are about the same as in East Asia for blood pressure, smoking and diet problem but at a lower levels. The PM air pollution death count is much smaller (270 ranked 9) or 3 times smaller than in East Asia. This is in relation with a more diverse grouping of countries.
In Southeast Asian countries: apart from the PM air pollution, the 10 first risks’ profile are about the same as in East Asia for blood pressure, smoking and diet problem but at a lower levels. The PM air pollution death count is much smaller (270 ranked 9) or 3 times smaller than in East Asia. This is in relation with a more diverse grouping of countries.
Figure 6 : The 10 highest health risks in Southeast Asia low and middle income countries from GBD 2010 |
High income Asia Pacific countries:
In high income Asia Pacific, apart from the first 2 risks: high blood pressure and smoking, the remaining profile is different. New risks are more prevalent associated with wealthy life style: physical inactivity and high sodium at a highest level, high body mass index. The PM air pollution death count is smaller (486 ranked 9) or 2 times smaller than in East Asia.
In high income Asia Pacific, apart from the first 2 risks: high blood pressure and smoking, the remaining profile is different. New risks are more prevalent associated with wealthy life style: physical inactivity and high sodium at a highest level, high body mass index. The PM air pollution death count is smaller (486 ranked 9) or 2 times smaller than in East Asia.
I am a little bit surprized by the low values of death by ambiant air pollution in Southeast Asia, compared to those in high income Asia Pacific countries. In fact ambiant air pollution in Southeast Asia is not a priority for the present political leaders who are more focusing about employment than environment. I am also not sure that health statistics are reliable in countries like Vietnam Laos our Cambodia, because of the low level of health infrastructures, and the fact that many people have na access to health because they cannot afford to pay for it.
ReplyDeleteLooking at ambiant air conditions in big cities like Saigon, Hanoi, Pnomh Penh or Bangkok is enough to realize that pollution is high and that air conditions are a lot more harmful than in cites like Auckland or Sydney!
Thank you for your comments! Concerning The Lancet PM air pollution risk outcomes: estimations are not based on health statistics but on satellite and ground observations using as explained the TM5 simulation model. It is why the simulationis address a large area "Asia Southeast" and not specific countries such as Vietnam and Thailand. In these cities I think also that the urban population is not so high as in China or Japan. See Woorld Bank data, 2011 urban population in % of total:
DeleteJapan : 91.1%; China:50.5%; Thailand:34.1%; Vietnam: 31%.