Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/68284
Full metadata record
DC FieldValueLanguage
dc.contributor.authorVyawahare, Rahul-
dc.contributor.authorVarghese Georgea, Kariampallil-
dc.contributor.authorGargava, Prashant-
dc.date.accessioned2026-08-13T11:50:34Z-
dc.date.available2026-08-13T11:50:34Z-
dc.date.issued2026-04-
dc.identifier.issn0975-1017 (Online) ; 0971-4588 (Print)-
dc.identifier.urihttp://nopr.niscpr.res.in/handle/123456789/68284-
dc.description143-159en_US
dc.description.abstractVehicular emissions have constituted a primary source of urban air pollution, with profound implications for public health and environmental quality, especially in rapidly developing countries like India. This review has chronicled the progression of mobile source emission inventory methodologies, which have transitioned from simplified Excel-based bottom-up approaches to sophisticated tools such as MOBILE, MOVES, COPERT, and IVE. Early methods have primarily utilized static emission factors combined with limited vehicle activity and road length data, resulting in poor spatial and temporal resolution and inconsistent emission estimates. Advanced inventory models have improved accuracy by incorporating modal driving cycles, vehicle-specific power calculations, and detailed fleet characteristics; however, their efficacy in developing country contexts has often been hampered by the unavailability of comprehensive local inputs, including fuel composition, vehicle kilometres travelled, and fleet age distributions. This review has highlighted significant deficiencies in model validation, emission factor localization, and integration of real-world traffic dynamics within existing emission inventories. Current inventories have largely neglected to disaggregate vehicle kilometres travelled by road type or to capture heterogeneous traffic behaviour, leading to biased spatial emission distributions and compromised policy relevance. The review has identified the Indian Vehicle Emission (IVE) model as a promising example that has improved context specificity through detailed driving cycle and terrain sensitivity, complementing established models like MOVES and COPERT. To enhance emission inventory reliability for rapidly urbanizing Indian cities, the adoption of a modular, India-specific emission framework has become essential. Such a framework should incorporate real-time vehicle counts, stratified vehicle activity by road classification, and heterogeneous traffic patterns. Implementing an India-tailored emission inventory model will greatly support urban air quality management and policy formulation, aligning with national objectives such as the National Clean Air Programme (NCAP). It will provide policymakers with precise, actionable insights to target emission hotspots, design effective interventions, and ultimately safeguard urban environmental healthen_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR, Indiaen_US
dc.sourceIJEMS Vol.33(02) Aprilen_US
dc.subjectBottom-up emission inventoryen_US
dc.subjectIndian urban air pollutionen_US
dc.subjectNational clean air programme (NCAP),en_US
dc.subjectVehicle kilometre travelled (VKT)en_US
dc.titleEvaluating line source emission models for Indian urban environmentsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.56042/ijems.v33i02.24343en_US
Appears in Collections:IJEMS Vol.33(02) April

Files in This Item:
File Description SizeFormat 
IJEMS Vol.33(02) 143-159.pdf818.65 kBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.