Stack emissions and health risk integrated (SEHRI) model: a tool for stack emissions and health risk modeling
| Autor: | P. P. Walvekar, Ajay Singh Nagpure, Bhola R. Gurjar |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Waste management business.industry Health Toxicology and Mutagenesis Air pollution Thermal power station 010501 environmental sciences Management Monitoring Policy and Law Particulates medicine.disease_cause complex mixtures 01 natural sciences Pollution Closure (computer programming) Stack (abstract data type) medicine Environmental science Coal business Air quality index NOx 0105 earth and related environmental sciences |
| Zdroj: | Air Quality, Atmosphere & Health. 12:1483-1493 |
| ISSN: | 1873-9326 1873-9318 |
| Popis: | The quantitative assessment of health burden of coal power stack emissions is a vital step to frame effective policy measures to achieve emission reductions and corresponding health benefits. A plant-specific stack emission, dispersion, and health risk integrated (SEHRI) model has been proposed to estimate coal power stack emissions, resulting ambient air concentrations and associated health risks in the vicinity of a coal power plant. In this study, we have estimated the health benefits due to closure of Badarpur Thermal Power Station (BTPS), New Delhi. The SEHRI model has been applied to estimate decreased health risks due to particulates (PM2.5) and gaseous (SO2, NOx) stack emissions released from the plant. More than 1050 premature deaths are avoided and 526 life years are saved resulting from reduction in particulate and gaseous stack emissions, respectively, due to closure of the plant. It is expected that environmental engineers, scientists, and air quality managers would find the SEHRI model as a useful tool to study emissions and health impacts related to coal-based power plants and guide an effective control policy for air pollution abatement. |
| Databáze: | OpenAIRE |
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