PhD Theses (SACON)

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Author: search.filters.author.Azeez, P ASubject: search.filters.subject.Air pollution

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    Particulate air pollution data for Coimbatore, India: real time monitoring and modeling with data-interoperability measures
    (SACON, 2016) Nisadh, K A; Azeez, P A
    Particulate air pollution is a major health burden and environmental concern in urban areas. As a serious health problem in urban areas, current intervention measures has to be sufficiently refined for urgent and sustainable management. Data intensive approach can gives tools to integrate diverse data sources for deriving decision-making information and improved applications for adaptive management of pollution. However lack of spatio-temporally relevant and reliable data on particulate pollution and the data existing in non-interoperable formats to a great extent hampers knowledge generation for effective control of pollution and management of air quality. The current study focused on developing basic tools for data intensive approach in a second tier urban centre of India. The study intends to explore an affordable real time air quality information systems focusing on Coimbatore, a fast growing and second tier urban center in the state of Tamil Nadu, India and its surroundings as the study area. The major objectives of the study were (1) to develop a real time particulate pollution monitoring system using low cost commodity sensors and assess its effectiveness in the study area, (2) attempt a real time particulate pollution modeling system for the study area using WRF-CHEM, addressing its computational requirements, and (3) demonstrate application of interoperability measures on real time particulate pollution data.