How fun is that? Lately, I've been tremendously interested in Asian air pollution research, and I have been convinced that Hong Kong is a place that hosts a top notch findings and methods in this field. As I am going to China this September, I am very much willing to get to know people that carry out air quality research there and see how they apply their methodology.
Two days ago, I have contacted CAN to inquire whether I could join them as an unpaid intern for some two or three weeks. No reply has followed yet, however. And today I have found out that Hong Kong is being suffering from the worst air pollution in two years. CAN's website provides an interactive air pollution map, which now looks as follows:
As you can see, there are many unhappy faces on this map.
On August, 1, CAN has published a press release stating that air pollution in Hong Kong exceeds the guideline values provided by WHO and avoiding that people go outdoors.
I've used the twitter search to find out the exact numbers regarding yesterday's and today's concentrations, but so far there are no such reports yet. Also, I have not succeeded to find daily listings of contaminants concentrations at the monitoring stations.
I wonder, which spatial prediction models are of common use in Hong Kong to evaluate the region's air pollution? I can count some 25 monitoring stations on this map, an the CAN's July press release reports that the study has been has been based on the information from 14 stations. The number of the monitoring stations is within the average, so geostatistical methods should be probably successfully applied. This amount of stations for the area of 1.104 sq. km is comparable to the placed in Barcelona's metropolitan region: some 49 stations for the area of 3.218 sq. km.
Land-use regression models should be probably used, too. A recent study by people from the Hong Kong Polytechnic University reports on the analysis of PM2.5 concentrations in Hong Kong. The analysis is based upon the data obtained by a spectroradiometer (satellite data) and further integrated into a GIS database with an account to meteorology. A linear regression model has been used to fit the concentrations.
In a nutshell, as a statistician, I understand that yesterday's and today's values are outliers, and I would like to see how they correspond to the fitted distributions for pollutants, as well as how they concord with the predicted pollution surfaces.
I wish someone could share this knowledge with me.
And, the last but not the least, I am tremendously sorry for the residents of Hong Kong that are suffering from high contamination right now. I very much respect they bravery to create an alert and draw public attention to the problem. For instance, in Moscow, which is my home pueblo, no such alerts happen. Although, Moscow is a very, very polluted city, however, there is no much fuzz about the pollution problem there, and it should be voiced and handled ASAP.
Two days ago, I have contacted CAN to inquire whether I could join them as an unpaid intern for some two or three weeks. No reply has followed yet, however. And today I have found out that Hong Kong is being suffering from the worst air pollution in two years. CAN's website provides an interactive air pollution map, which now looks as follows:
As you can see, there are many unhappy faces on this map.
On August, 1, CAN has published a press release stating that air pollution in Hong Kong exceeds the guideline values provided by WHO and avoiding that people go outdoors.
I've used the twitter search to find out the exact numbers regarding yesterday's and today's concentrations, but so far there are no such reports yet. Also, I have not succeeded to find daily listings of contaminants concentrations at the monitoring stations.
I wonder, which spatial prediction models are of common use in Hong Kong to evaluate the region's air pollution? I can count some 25 monitoring stations on this map, an the CAN's July press release reports that the study has been has been based on the information from 14 stations. The number of the monitoring stations is within the average, so geostatistical methods should be probably successfully applied. This amount of stations for the area of 1.104 sq. km is comparable to the placed in Barcelona's metropolitan region: some 49 stations for the area of 3.218 sq. km.
Land-use regression models should be probably used, too. A recent study by people from the Hong Kong Polytechnic University reports on the analysis of PM2.5 concentrations in Hong Kong. The analysis is based upon the data obtained by a spectroradiometer (satellite data) and further integrated into a GIS database with an account to meteorology. A linear regression model has been used to fit the concentrations.
In a nutshell, as a statistician, I understand that yesterday's and today's values are outliers, and I would like to see how they correspond to the fitted distributions for pollutants, as well as how they concord with the predicted pollution surfaces.
I wish someone could share this knowledge with me.
And, the last but not the least, I am tremendously sorry for the residents of Hong Kong that are suffering from high contamination right now. I very much respect they bravery to create an alert and draw public attention to the problem. For instance, in Moscow, which is my home pueblo, no such alerts happen. Although, Moscow is a very, very polluted city, however, there is no much fuzz about the pollution problem there, and it should be voiced and handled ASAP.
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