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MONITORING SPATIAL PATTERNS OF AIR POLLUTION IN KARACHI METROPOLIS: A GIS AND REMOTE SENSING PERSPECTIVE

Arsalan, Mudassar Hassan (2003) MONITORING SPATIAL PATTERNS OF AIR POLLUTION IN KARACHI METROPOLIS: A GIS AND REMOTE SENSING PERSPECTIVE. PhD thesis, University of Karachi, Karachi.

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Abstract

The growing environment degradation has exerted desperate burden on resources, therefore, environmental monitoring has become imperative. There is a serious need to evaluate the quality regularly, Remote Sensing technology has been providing multidimensional information, which is utilized in lots of environmental investigations. Geographical Information System (GIS) have been accepted as a turnkey solution for the complex world due to its magnanimous breath of functionalities and cost effectiveness. Karachi is one of the worst effected cities of the world due to unchecked and still uncontrolled air pollution. Spatial variation within metropolis have been largely ignored mainly due to less comprehension, under estimation of spatial techniques as well as difficulties in collecting, processing and analyzing the data at micro geographic scales. The main goals of this study are to modulate the information pertains to air quality and its adverse effects on human health and find out their spatial patterns all over Karachi. The research has covered different parameters: assessment of land cover / land use classes, human settlement growth, temporal traffic patterns, population distributions, current level of air pollutants, health implications and public perceptions. The developed GIS evaluation combined the data sets, various analyses and the resultant maps with the capability to integrate further parameters for future risk assessments. Multi criteria decision analyses was successfully employed. Micro geographic appraisals of the metropolis were performed by considering 58 zones outlined by the local development authority. Each zonal assessment included area, population density, distribution of land cover classes, split of land use categories, frequency of airborne diseases, their prevalence scenario and temporal variations in CO concentrations within the zone. Multiple regression models for predicting carbon monoxide (CO) enrichment at the olden region of Karachi metropolis have been formulated in which traffic and land use parameters act as independent variables.

Item Type:Thesis (PhD)
Uncontrolled Keywords:Spatial patterns, Air pollution, Karachi, GIS, Remote sensing, Environmental degradation, Environmental monitoring, Environmental investigations, Geographical Information System, Air quality, Air pollutants, Diseases, Airborne, Carbon monoxide (CO), Sulphur Dioxide, Nitrogen Oxides, Carbon Monoxide, Ozone, Suspended particulate matters, Lead, Haze Compensation, Temporal Variations, Epidemiological Investigations, Morbidity,
Subjects:Social Sciences(g) > Geography (g7)
ID Code:279
Deposited By:Mr Ghulam Murtaza
Deposited On:16 Jun 2006
Last Modified:14 Oct 2009 13:20

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