Earth, Atmosphere & Environment Sciences
Title : | Geo-spatial modelling and analysis of vehicular emissions and health impacts: A case study of Jammu |
Area of research : | Earth, Atmosphere & Environment Sciences |
Principal Investigator : | Dr. Dinesh Kumar, Central University Of Jammu, Jammu and Kashmir |
Timeline Start Year : | 2023 |
Timeline End Year : | 2026 |
Contact info : | dineshjnu2020@gmail.com |
Equipments : | "Automatic vehicle counter and classifier
GPS
Workstation" |
Details
Executive Summary : | With the increase of vehicles on Indian roads, problem of vehicular emissions and pollution has been a matter of concern for public and policy planners. With expanding economy and ability of people to own luxuries have shown an increasing tendency to own vehicle for comfort and better transport mode. With the improved life style of society comes with responsibility to take care of environment as these vehicles emits a number gracious and particulate matter in the atmosphere which reduces the air quality drastically. With the advancement of engine technology, electric based vehicles aided with smart transport system, problem of vehicular emissions remain at increasing trend. The vehicular emission can be monitored through installed equipment’s at crucial intersections and road stretches and its dispersal can be modeled using geospatial technology platform like ARCGIS. Line source gaussian based dispersal model can predict the emission scenario at a given standard and vehicle type for a particular topography and climate. These models can be integrated with GIS platform and able to generate interactive database to understand the contribution of different vehicles towards Sox, NOx, PM and HCs near the proximity of road and intersections. Pollutants such as NO2, CO and HCs have very diverse health impacts on diverse age groups living near the proximity of these roads. Low weight of child’s birth, respiratory and asthmatic and cardiovascular related diseases becomes more frequent in people living in such polluted road proximity. These models such as CALINE, AERMOD HIWAY can be integrated with GIS platform. The output will have segregated contribution of emissions based on vehicle type and possible ways to reduce the emissions from dominant categories which might help decision makers to use such work for betterment of polices. |
Total Budget (INR): | 44,73,832 |
Organizations involved