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Establishing the efficacy of the cleansing action of tropical evergreens: A modeling analysis of Asia's largest lignite based power plant
J.R. Picardo,
Published in
2011
Volume: 4
   
Issue: 2
Pages: 1 - 8
Abstract
Developing nations of Asia will continue to rely on fossil fuels to meet their energy needs for years to come. In this frequency baseline in erythrocytes was evaluated in and genotoxic potential of a common chemical was determined context, mitigation of air pollution due to thermal power plant emissions assumes special sig ifcance. The Neyveli Lignite in fish experimentally exposed in aquarium under controlled conditions. Fish (Therapon jaruba) were exposed for 96 Corporation (NLC)- Asia's largest Lignite based Thermal Power Plan took a visionary step in this regard, four decades ago, 17 million evergreen trees. These trees, now fully grown, play an important role in abating air pollution in the NLC town ship which is home to 128,133 people. This frst study quantifes the cleansing action of these evergreens by employing a tailor-made atmospheric dispersion model which accounts for unique regional factors- the year round high solar insolation, high temperatures and the convective nature of the atmospheric boundary layer. We model the dispersion of SO 2 emitted from multiple elevated stacks (typical source strengths are 300 g/s) and its deposition onto the evergreen canopy. Deposition is quantifed in terms of the universal deposition velocity parameterization via inferential-resistance modelling of the transport pathways. Result indicate that considerable amount of pollution in deposited on to the canopy year round. In addition active cleansing of the atmosphere takes place over regions not directly in the path of SO 2 emissions but nevertheless affected by residual pollution. This is relevant to large areas of NLC due to the wind pattern which involves a daily wind direction shift in the afternoon as well as several periods of calm. The present model has been coded to be made portable and can serve as a decision making tool in the screening scoping and baseline analyses of Environmental Impact Assessment studies.
About the journal
JournalEnvironmentAsia
ISSN19061714