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Determining NO2 immission levels in a conflicted area: Riobamba, Ecuador

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Riobamba has areas with high vehicular influence. For the determination of nitrogen dioxide concentrations, passive samplers were used, which were placed at points throughout the domain. The concentrations obtained in the field were interpolated with the information generated with the model traffic emissions software, estimating the relationship between vehicular traffic and the presence of gas. Allow to know the amount of pollutants that breathe about 250 pedestrians on average in the area.
Rocznik
Strony
465--475
Opis fizyczny
Bibliogr. 25 poz., il., tab., wykr.
Twórcy
  • National University of Chimborazo, Faculty of Engineering, Av. Antonio José de Sucre, Km 1½, 060150 Riobamba, Ecuador
  • Polytechnic School of Chimborazo, Riobamba
  • Universidad Politécnica de Madrid, Madrid
autor
  • National University of Chimborazo, Riobamba
autor
  • National University of Chimborazo, Riobamba
Bibliografia
  • Bahmankhah, B. & Coelho, M.C. (2017). Multi-objective optimization for short distance trips in an urban area: choosing between motor vehicle or cycling mobility for a safe, smooth and less polluted route. Transportation Research Procedia, 27, 428-435. https://doi.org/10.1016/J.TRPRO.2017.12.009
  • Borge, R., Narros, A., Artíñano, B., Yagüe, C., Gómez-Moreno, F.J., de la Paz, D., … Vardoulakis, S. (2016). Assessment of microscale spatio-temporal variation of air pollution at an urban hotspot in Madrid (Spain) through an extensive field campaign. Atmospheric Environment, 140, 432-445. https://doi.org/10.1016/J.ATMOSENV.2016.06.020
  • Borge, R., Quaassdorff, C., Paz, D. de la, Narros, A., Paredes, M. & Andres, J. de. (2015). Experimental Campaing in a Heavily Trafficked Roundabout in Madrid for the Assessment of Air Quaity Monitoring Station Representativeness in Terms of Population Exposure to NO2. In 2nd Healthy Polis Workshop – during Kunshan Forum. Retrieved from https://www.researchgate.net/publication/315078458_Experimental_Campaign_in_a_Heavily_Trafficked_Roundabout_in_Madrid_for_the_Assessment_of_Air_Quality_Monitoring_Station_Representativeness_in_Terms_of_Population_Exposure_to_NO2
  • Chen, H., Xie, B., Ma, J. & Chen, Y. (2018). NOx emission of biodiesel compared to diesel: Higher or lower? Applied Thermal Engineering, 137, 584-593. https://doi.org/10.1016/J.APPLTHERMALENG.2018.04.022
  • El Morabet, R. (2019). Effects of Outdoor Air Pollution on Human Health. Reference Module in Earth Systems and Environmental Sciences. https://doi.org/10.1016/B978-0-12-409548-9.11509-X
  • Glarborg, P., Miller, J.A., Ruscic, B. & Klippenstein, S.J. (2018). Modeling nitrogen chemistry in combustion. Progress in Energy and Combustion Science, 67, 31-68. https://doi.org/10.1016/J.PECS.2018.01.002
  • Grundström, M., Hak, C., Chen, D., Hallquist, M. & Pleijel, H. (2015). Variation and co-variation of PM10, particle number concentration, NOx and NO2 in the urban air – Relationships with wind speed, vertical temperature gradient and weather type. Atmospheric Environment, 120, 317-327. https://doi.org/10.1016/J.ATMOSENV.2015.08.057
  • Guo, X., Fu, L., Ji, M., Lang, J., Chen, D. & Cheng, S. (2016). Scenario analysis to vehicular emission reduction in Beijing-Tianjin-Hebei (BTH) region, China. Environmental Pollution, 216, 470-479. https://doi.org/10.1016/J.ENVPOL.2016.05.082
  • Jaikumar, R., Shiva Nagendra, S.M. & Sivanandan, R. (2017). Modal analysis of real-time, real world vehicular exhaust emissions under heterogeneous traffic conditions. Transportation Research Part D: Transport and Environment, 54, 397-409. https://doi. org/10.1016/J.TRD.2017.06.015
  • Ji, Y., Bai, S. & Crocker, M. (2015). Al2O3-based passive NOx adsorbers for low temperature applications. Applied Catalysis B: Environmental, 170-171, 283-292. https://doi.org/10.1016/J.APCATB.2015.01.025
  • Kumar, M., Tsujimura, T. & Suzuki, Y. (2018). NOx model development and validation with diesel and hydrogen/diesel dual-fuel system on diesel engine. Energy, 145, 496-506. https://doi.org/10.1016/j.energy.2017.12.148
  • Li, P-W., Chyang, C-S. & Ni, H-W. (2018). An experimental study of the effect of nitrogen origin on the formation and reduction of NOx in fluidized-bed combustion. Energy, 154, 319-327. https://doi.org/10.1016/J.ENERGY.2018.04.141
  • Margreiter, M., Krause, S., Twaddle, H. & Lüßmann, J. (2014). Evaluation of Environmental Impacts of Adaptive Network Signal Controls Based on Real Vehicle Trajectories. Transportation Research Procedia, 4, 421-430. https://doi.org/10.1016/J.TRPRO.2014.11.032
  • Mishra, D. & Goyal, P. (2014). Estimation of vehicular emissions using dynamic emission factors: A case study of Delhi, India. Atmospheric Environment, 98, 1-7. https://doi.org/10.1016/j.atmosenv.2014.08.047
  • Nakashima, Y., Sadanaga, Y., Saito, S., Hoshi, J. & Ueno, H. (2017). Contributions of vehicular emissions and secondary formation to nitrous acid concentrations in ambient urban air in Tokyo in the winter. Science of The Total Environment, 592, 178-186. https://doi.org/10.1016/J.SCITOTENV.2017.03.122
  • Nhung, N.T.T., Schindler, C., Dien, T.M., Probst-Hensch, N., Perez, L. & Künzli, N. (2018). Acute effects of ambient air pollution on lower respiratory infections in Hanoi children: An eight-year time series study. Environment International, 110, 139-148. https://doi.org/10.1016/J.ENVINT.2017.10.024
  • Park, S. & Hwang, K. (2017). Experimental Analysis on control constraints for connected vehicles using Vissim. Transportation Research Procedia, 21, 269-280. https://doi.org/10.1016/J.TRPRO.2017.03.097
  • Rahmati, M.H. & Yousefi, S.R. (2013). Demand estimation for the Iranian automobile industry. The Quarterly Review of Economics and Finance, 53(3), 277-284. https://doi.org/10.1016/J.QREF.2011.03.001
  • Sadat, M. (2017). Simulation-based Variable Speed Limit Systems Modelling: An Overview and A Case Study on Istanbul Freeways. Transportation Research Procedia, 22, 607-614. https://doi.org/10.1016/J.TRPRO.2017.03.051
  • Sanchez, B., Santiago, J.L., Martilli, A., Martin, F., Borge, R., Quaassdorff, C. & de la Paz, D. (2017). Modelling NOX concentrations through CFD-RANS in an urban hot-spot using high resolution traffic emissions and meteorology from a mesoscale model. Atmospheric Environment, 163, 155-165. https://doi.org/10.1016/J.ATMOSENV.2017.05.022
  • Schraufnagel, D.E., Balmes, J.R., Cowl, C.T., De Matteis, S., Jung, S-H., Mortimer, K., … Wuebbles, D.J. (2019). Air Pollution and Noncommunicable Diseases: A Review by the Forum of International Respiratory Societies’ Environmental Committee, Part 1: The Damaging Effects of Air Pollution. Chest, 155(2), 409-416. https://doi.org/10.1016/J.CHEST.2018.10.042
  • Tang, G., Chao, N., Wang, Y. & Chen, J. (2016). Vehicular emissions in China in 2006 and 2010. Journal of Environmental Sciences, 48, 179-192. https://doi.org/10.1016/ /J.JES.2016.01.031
  • Villanueva, M. & Dosal, M,. (2008). Calibration curves in analytical methods. Introduction to Chemical Metrology, 18-26.
  • World Health Organization [WHO] (2018). Ambient (outdoor) air quality and health.
  • Yao, Z., Wu, B., Wu, Y., Cao, X. & Jiang, X. (2015). Comparison of NOx emissions from China III and China IV in-use diesel trucks based on on-road measurements. Atmospheric Environment, 123, 1-8. https://doi.org/10.1016/J.ATMOSENV.2015.10.056
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-af20283a-4405-4a52-8be4-85cf783a948c
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