DETERMINATION OF AEROSOL PARTICLES AND RISK ANALYSIS OF ASTHMA IN THE CITY OF COLOMBO

摘要

Air Pollution is one of the major environmental problems which has increased due to urbanization in the world. It has no variation in the Sri Lankan context where it has created number of problem in its capital City of Colombo. It has created lots of problems in their capital as well as commercial cities. This paper is to determine PM10 concentration in Colombo Municipal Council area using algorithm model. PM10 has been extracted from the Landsat images using algorithm model which is considered as one of the simplest algorithm models. In this model, the tasks are statically or semi-statically mapped onto processes and each task performs similar operations on different data sets. PM10 measurements locations have been demarcated by using GPS at random, then PM10 value were extracted from these locations. A maximum concentration of PM10 ranging 86.88 μg/m3 - 106.66 μg/m3 has been covered 26.88% of the total area of the city which shows high risk for the health of city dwellers. According to the Clinic data asthma patients have been increased from 51% to 61.81%, within the city limit during the period of 2005 to 2007. Results of the study revealed that the highest concentration level of PM10 can be observed in the central part of the city. This is due to high traffic flow towards to the city center from the periphery. And also number of asthma patients in middle part of the city have been increased from 33 to 122 in year 2005 to 2007, because of these areas were identified as highly vulnerable for air pollution. Furthermore, the results demonstrate that satellite images can be useful tool measurement of air quality in urban area. And also predicted that PM10 level very high within city limit. Final results have exposed that there is a strong relationship between the people who have lived in vulnerable areas have suffered from Asthma and level of PM10 as well as other air pollutants.