Abstract
Emission inventory data are crucial information for air quality comprehension issues related to different roots, relationships, and the impact of atmospheric pollutants in both rural and metropolitan environments. Emissions released from the vehicles are the principal sources of affecting the air quality, and their constructive regulation is vital to safeguard the environment. The increase in population and rapid urbanization in the Kashmir Valley have triggered excessive growth in motor vehicles’ figure. There is a vast gap in research regarding the evaluation of atmospheric pollutant emissions in Kashmir. Srinagar, having a population of 1,180,570 residents, being an underdeveloped region, lying in the center of Kashmir, and having a greater vehicular size and unique topographic attributes, was chosen as the study area. Since the vehicular number in the Srinagar area is anticipated to rise at an elevated rate continuously, there is a crucial demand to recognize the intensity of the region’s vehicular pollution. The present work aimed to calculate the emission of different atmospheric pollutants released by different vehicles in this region. The vehicle categories include passenger cars (PC), heavy-duty vehicles (HDV), and L-category vehicles (L-C). For these categories, for the year 2018, the typical average-day estimated emissions of CO, NMVOC, NOx, and CO2 from the combustion of lubricant oil and CO2 from fuel were 248.13, 78.98, 39.39, 27.05, and 4415.13 tons/day, respectively, while the benzo(k)fluoranthene, benzo(b)fluoranthene, benzo(a)pyrene, lead (Pb), and ID(1,2,3-cd)P were having emission rates of 32.44, 35.99, 17.23, 274.20, and 21.53 g/day, respectively. The PM, N2O, NH3, and SO2 emissions were 2400.02, 237.47, 745.57, and 5.48 kg/day, respectively. The results of this research could help policymakers identify pollution sources and design appropriate control measures.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Angiola AD, Dawidowski LE, Gomez DR, Osses M (2010) On-road traffic emissions in a megacity Ariela. Atmos Environ J 44:483–493
Anttila P, Tuovinen J (2010) Trends of primary and secondary pollutant concentrations in Finland in 1994–2007. Atmos Environ 44:30–41
Anttila P, Tuovinen J, Niemi JV (2011) Primary NO2 emissions and their role in the development of NO2 concentrations in a traffic environment. Atmos Environ 45:986–992
Behera SN, Sharma M (2010) Investigating the potential role of ammonia in ion chemistry of fine particulate matter formation for an urban environment. Sci Total Environ 408:3569–3575
Behera SN, Sharma M, Dikshit O, Shukla SP (2011) GIS-based emission inventory, dispersion modeling, and assessment for source contributions of particulate matter in an urban environment. Water Air Soil Pollut 218:423–436
Carslaw DC (2005) Evidence of an increasing NO2/NOX emissions ratio from road traffic emissions. Atmos Environ 39:4793–4802
Carslaw DC, Rhys-tyler G (2013) New insights from comprehensive on-road measurements of NOx, NO2 and NH3 from vehicle emission remote sensing in London, UK. Atmos Environ 81:339–347
Carslaw DC, Beevers SD, Tate JE et al (2011) Recent evidence concerning higher NOx emissions from passenger cars and light duty vehicles. Atmos Environ 45:7053–7063
Che W, Zheng J, Wang S et al (2011) Assessment of motor vehicle emission control policies using Model-3/CMAQ model for the Pearl River Delta region, China. Atmos Environ 45:1740–1751
Chen Y, Borken-kleefeld J (2019) Real-driving emissions from cars and light commercial vehicles. Atmos Environ 88:157–164
Chen G, Wan X, Yang G, Zou X (2015) Traffic-related air pollution and lung cancer: a meta-analysis. Thorac Cancer 6:307–318
Colvile RN, Hutchinson EJ, Mindell JS, Warren RF (2001) Millennial review: the transport sector as a source of air pollution. Atmos Environ 35:1537–1565
Costa M, Baldasano JM (1996) Development of a source emission model for atmospheric pollutants in the Barcelona area. Atmos Environ 30:309–318
Dalvi M, Beig G, Patil U et al (2006) A GIS based methodology for gridding of large-scale emission inventories: application to carbon-monoxide emissions over Indian region. Atmos Environ 40:2995–3007
European Environment Agency – EEA (2019) EMEP/EEA air pollutant emission inventory guidebook. Publications Office of the European Union, Luxembourg. https://doi.org/10.1017/CBO9781107415324.004
Faiz A (1993) Automotive emissions in developing countries – relative implications for global warming, acidification and urban air quality. Transp Res 27:167–186
Franco V, Sánchez FP, German J, Mock P (2014) Real-world exhaust emissions from modern diesel cars a meta-analysıs of pems emissions data from EU (EURO 6) and US (Tier 2 Bin 5/ULEV II) diesel passenger cars: part 1: aggregated results. The International Council on Clean Transportation, Washington, DC
Fu L, Hao J, He D et al (2001) Assessment of vehicular pollution in China. J Air Waste Manag Assoc 51:658–668
Fu X, Wang S, Zhao B et al (2013) Emission inventory of primary pollutants and chemical speciation in 2010 for the Yangtze River Delta region, China. Atmos Environ 70:39–50
Garg A, Kapshe M, Shukla PR, Ghosh D (2002) Large point source (LPS) emissions from India: regional and sectoral analysis. Atmos Environ 36:213–224
Gong M, Yin S, Gu X et al (2017) Refined 2013-based vehicle emission inventory and its spatial and temporal characteristics in Zhengzhou, China. Sci Total Environ 599–600:1149–1159
Government of Jammu and Kashmir Vehicle Department (2018). Statement showing the year-wise/Category wise figures of Vehicles Registered in J & K up to March 2018. Accessed 21 Jan 2019. https://jaktrans.nic.in/index.html
Goyal P, Mishra D, Kumar A (2013) Vehicular emission inventory of criteria pollutants in Delhi. Springerplus 2:1–11
Gurjar BR, Van Aardenne JA, Lelieveld J, Mohan M (2004) Emission estimates and trends (1990–2000) for megacity Delhi and implications. Atmos Environ 38:5663–5681
Gurjar BR, Butler TM, Lawrence MG, Lelieveld J (2008) Evaluation of emissions and air quality in megacities. Atmos Environ 42:1593–1606
Hueglin C, Buchmann B, Weber RO (2006) Long-term observation of real-world road traffic emission factors on a motorway in Switzerland. Atmos Chem Phys 40:3696–3709
Janwari MM, Tiwari G, Popli SK, Mir MS (2016) Traffic analysis of Srinagar City. Transp Res Proc 17:3–15
Jiang XQ, Mei XD, Feng D (2016) Air pollution and chronic airway diseases: what should people know and do? J Thorac Dis 8:31–40
Kai Z, Batterman S (2013) Air pollution and health risks due to vehicle traffic. Sci Total Environ 15:307–316. https://doi.org/10.1038/jid.2014.371
Krämer U, Herder C, Sugiri D et al (2010) Traffic-related air pollution and incident type 2 diabetes: results from the SALIA cohort study. Environ Health Perspect 118:1273–1279
Li J, Wu R, Li Y et al (2016) Effects of rigorous emission controls on reducing ambient volatile organic compounds in Beijing, China. Sci Total Environ 557–558:531–541
Li J, Zhai C, Yu J et al (2018) Spatiotemporal variations of ambient volatile organic compounds and their sources in Chongqing, a mountainous megacity in China. Sci Total Environ 627:1442–1452
Liang CS, Duan FK, He KB, Ma YL (2016) Review on recent progress in observations, source identifications and countermeasures of PM2.5. Environ Int 86:150–170
Liu H, Wu B, Liu S et al (2018a) A regional high-resolution emission inventory of primary air pollutants in 2012 for Beijing and the surrounding five provinces of North China. Atmos Environ 181:20–33
Liu S, Hua S, Wang K et al (2018b) Spatial-temporal variation characteristics of air pollution in Henan of China: localized emission inventory, WRF/Chem simulations and potential source contribution analysis. Sci Total Environ 624:396–406
Lu Z, Zhang Q, Streets DG (2011) Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996–2010. Atmos Chem Phys 11:9839–9864
Mohan M, Dagar L, Gurjar BR (2007) Preparation and validation of gridded emission inventory of criteria air pollutants and identification of emission hotspots for megacity Delhi. Environ Monit Assess 130:323–339
Punte S, Barton-Dock MA, Dayao DL et al (2012). Air pollution and greenhouse gas emissions ındicators for road transport and electricity. www.cleanairasia.org. Accessed 02 Jan 2013
Qi J, Tianjin H, Zheng B et al (2017) A high-resolution air pollutants emission inventory in 2013 for the Beijing- a high-resolution air pollutants emission inventory in 2013 for the Beijing-Tianjin-Hebei region, China. Atmos Environ 170:156–168
Qiu P, Tian H, Zhu C et al (2014) An elaborate high resolution emission inventory of primary air pollutants for the central plain urban agglomeration of China. Atmos Environ 86:93–101
Reddy MS, Venkataraman C (2002a) Inventory of aerosol and sulphur dioxide emissions from India: I – fossil fuel combustion. Atmos Environ 36:677–697
Reddy MS, Venkataraman C (2002b) Inventory of aerosol and sulphur dioxide emissions from India. Part II – biomass combustion. Atmos Environ 36:699–712
Réquia WJ, Koutrakis P, Roig HL (2015) Spatial distribution of vehicle emission inventories in the Federal District, Brazil. Atmos Environ 112:32–39
Sahu SK, Beig G, Parkhi NS (2011) Emissions inventory of anthropogenic PM2.5 and PM10 in Delhi during Commonwealth Games 2010. Atmos Environ 45:6180–6190
Shindell D, Faluvegi G, Walsh M et al (2011) Climate, health, agricultural and economic impacts of tighter vehicle-emission standards. Nat Clim Chang 1:59–66
Singh R, Sharma C, Agrawal M (2017) Emission inventory of trace gases from road transport in India. Transp Res Part D: Transp Environ 52:64–72
Smith TW, Axon CJ, Darton RC (2013) The impact on human health of car-related air pollution in the UK, 1995–2005. Atmos Environ 77:260–266
Sonawane NV, Patil RS, Sethi V (2012) Health benefit modelling and optimization of vehicular pollution control strategies. Atmos Environ 60:193–201
Sun S, Jiang W, Gao W (2016) Vehicle emission trends and spatial distribution in Shandong province, China, from 2000 to 2014. Atmos Environ 147:190–199
Tuia D, Eicker D, Zah R et al (2007) Evaluation of a simplified top-down model for the spatial assessment of hot traffic emissions in mid-sized cities. Atmos Environ 41:3658–3671
Velders GJM, Geilenkirchen GP, De Lange R (2011) Higher than expected NOx emission from trucks may affect attainability of NO2 limit values in the Netherlands. Atmos Environ 45:3025–3033
Wang H, Chen C, Huang C, Fu L (2008) On-road vehicle emission inventory and its uncertainty analysis for Shanghai, China. Sci Total Environ 398:60–67
Weiss M, Bonnel P, Hummel R et al (2011) Analyzing on-road emissions of light-duty vehicles with portable emission measurement systems (PEMS). Environ Sci Technol 45:8575–8581
Zhang S, Wu Y, Huang R et al (2016) High-resolution simulation of link-level vehicle emissions and concentrations for air pollutants in a traffic-populated eastern Asian city. Atmos Chem Phys 16:9965–9981
Zheng J, Zhang L, Che W et al (2009) A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment. Atmos Environ 43:5112–5122
Zhong Z, Zheng J, Zhu M et al (2018) Recent developments of anthropogenic air pollutant emission inventories in Guangdong province, China. Sci Total Environ 627:1080–1092
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Bhat, M.A., Gaga, E.O. (2022). Compendium of a Road Transport Emission Inventory for Srinagar City of Kashmir. In: Öztürk, M., Khan, S.M., Altay, V., Efe, R., Egamberdieva, D., Khassanov, F.O. (eds) Biodiversity, Conservation and Sustainability in Asia. Springer, Cham. https://doi.org/10.1007/978-3-030-73943-0_55
Download citation
DOI: https://doi.org/10.1007/978-3-030-73943-0_55
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-73942-3
Online ISBN: 978-3-030-73943-0
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)