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Please use this identifier to cite or link to this item: http://142.54.178.187:9060/xmlui/handle/123456789/1472
Title: Air Pollution Deterministic Index Modeling: Application in Quetta,Pakistan
Authors: Akhtar
Shahkhan, F
Keywords: Natural Science
Air Pollution Deterministic Index Modeling
AmbientAir Pollution Indices
Deterministic modeling
Issue Date: 1-Jan-2018
Publisher: Institute of Physics (IOP)
Abstract: Mathematical model are applied to predict the sensitivity of climate to changes produced by natural phenomena and human activities. In this paper Air Pollution Deterministic Index Modeling (APDIM)for Pakistan is developed with the practical implication inQuetta City. The modeling is based on deterministic model and Pollution Indices to monitor the Ambient Air condition in Quetta City. The novelty of the model is adding a coefficientin the basic deterministic formula. The values of the coefficientbalance the theoretical and experimental validations for Ambient Air. The tool gives the alerts about the weather conditions in simple indices or colourcoding displays. These indices indicate the air pollution situation in the city by a single number or colour code. The application of the applied model is done in Quetta city, six criteria pollutants (CO, SOx, NOx, O3, TSP and PM10) are chosen for modeling according to the WHO criteria which have harmful health effect on the communities. The results of themodeling indicate that the gases (CO, SOx, NOx, and O3) are touching the boundary of satisfactory to un-satisfactory zone. The cause of concern is TSP and PM10, which lies in the hazardous zone. APDIMis an important tool of decision making, which determine the risk assessment for communities. The aim of the tool is to inform the general public of the local area about the severity of ambient air pollution, and the possiblehealth hazardit causes, particularly on vulnerable groups or people with existing cardiac, lungsand breathingdiseases. Further the tool helps the environmentalists and policy makers to modify the policy and strategies according to the provided air data.
URI: http://142.54.178.187:9060/xmlui/handle/123456789/1472
ISSN: 414 012014
Appears in Collections:Journals

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