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Vehicular emission inventory and correlation study for Indian medium-sized city

By: Shinde, Sagar Maruti.
Contributor(s): Karjinni, Vilas Vijay.
Publisher: USA Springer 2023Edition: Vol.104(2), Jun.Description: 447-454p.Subject(s): Humanities and Applied SciencesOnline resources: Click here In: Journal of the institution of engineers (India): Series ASummary: The number of registered motor vehicles (RMV) in Kolhapur, a medium-sized city, has steadily increased over the last few years, resulting in an increased risk of air pollution, but a comprehensive study is lacking. This study was aimed two-fold: (1) to develop and validate a 3-year (2010–2012) vehicular emission inventory (VEI) and (2) to find a relationship between the total RMV and air pollution in Kolhapur city. This study used the conventional approach to develop the VEI and the correlation technique to validate the developed VEI and find the relationship between RMV and air pollution. The emissions of three air pollutants, namely the oxides of nitrogen (NOx), sulfur dioxide (SO2), and respirable suspended particulate matter (or PM10), were calculated for the eight main RMV categories. The VEI results revealed that between 2010 and 2012, NOx, SO2, PM10, and total emissions have increased by 27%, 38%, 32%, and 30%, respectively. Major polluting vehicle categories contributing to the emissions of specific pollutants have also been explored. Among eight types of RMV, trucks & lorries (T&L) and light motor vehicles (goods) (LMVG) were dominant sources. T&L was the major contributor to both total emissions of NOx (42%) and PM10 (24%), and LMVG was the main contributor to total SO2 (34%) emissions. Similarly, the overall correlation coefficient values were between 0.9132 and 0.9999 (strongly positive), indicating the validity of the developed VEI and source confirmation in the city. This study could help policymakers to implement appropriate control policies.
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The number of registered motor vehicles (RMV) in Kolhapur, a medium-sized city, has steadily increased over the last few years, resulting in an increased risk of air pollution, but a comprehensive study is lacking. This study was aimed two-fold: (1) to develop and validate a 3-year (2010–2012) vehicular emission inventory (VEI) and (2) to find a relationship between the total RMV and air pollution in Kolhapur city. This study used the conventional approach to develop the VEI and the correlation technique to validate the developed VEI and find the relationship between RMV and air pollution. The emissions of three air pollutants, namely the oxides of nitrogen (NOx), sulfur dioxide (SO2), and respirable suspended particulate matter (or PM10), were calculated for the eight main RMV categories. The VEI results revealed that between 2010 and 2012, NOx, SO2, PM10, and total emissions have increased by 27%, 38%, 32%, and 30%, respectively. Major polluting vehicle categories contributing to the emissions of specific pollutants have also been explored. Among eight types of RMV, trucks & lorries (T&L) and light motor vehicles (goods) (LMVG) were dominant sources. T&L was the major contributor to both total emissions of NOx (42%) and PM10 (24%), and LMVG was the main contributor to total SO2 (34%) emissions. Similarly, the overall correlation coefficient values were between 0.9132 and 0.9999 (strongly positive), indicating the validity of the developed VEI and source confirmation in the city. This study could help policymakers to implement appropriate control policies.

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