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Spatiotemporal analysis of road surface temperature (RST) and building wall temperature (BWT) and its relation to the traffic volume at Jorhat urban environment, India

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Abstract

The study analyzed the pattern of building wall temperature (BWT) and road surface temperature (RST) in both urban and suburban area and its relation to traffic volume at Jorhat municipal area. The surface temperature pattern is assessed using the FLIR TG-165 spot thermal imaging camera and HTC MT-4 IR thermometer, while traffic volume is investigated through schedule survey and video recording over the selected urban roads. The study revealed a positive correlation between traffic volumes with BWT and RST, though the correlation is quite stronger with RST. The higher positive relationship between traffic volume and RST has been noticed mostly in the shadowing part of the surface, whereas on the other hand, the relationship pattern of BWT with traffic volume is also found noticeably higher at the shadowed part of the surface. In both analyses, the relationship between traffic with RST and BWT is identified as remarkably stronger at midday and afternoon period. The urban areas with maximum traffic congestion are identified as accountable for the higher BWT and RST.

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References

  • Bewick, V., Liz, C., & Ball, J. (2003). Statistics review 7: Correlation and regression. Critical Care, 7(6), 451–459. https://doi.org/10.1186/cc2401

    Article  Google Scholar 

  • Brown, J. D. (2003). The coefficient of determination, Shiken: JALT testing and evaluation SIG newsletter, 7(1), 14-16.

  • Census of India. (2011). Office of the Registrar General & Census Commissioner, New Delhi.

  • Cetin, M. (2015). Determining the bioclimatic comfort in Kastamonu City. Environmental Monitoring and Assessment, 187(10), 640.

    Article  Google Scholar 

  • Cetin, M. (2016). Determination of bioclimatic comfort areas in landscape planning: A case study of Cide Coastline. Turkish Journal of Agriculture-Food Science Technology, 4(9), 800–804.

    Article  Google Scholar 

  • Cetin, M., Sevik, H., & Zeren, I. (2017). Chapter 7_ Coastal biocomfort mapping for Doganyurt. In The effects of environmental policies on sustainability: Theory and methods (pp. 51–55). USA: OMICS, e-Books International.

  • Cetin, M., Adiguzel, F., Kaya, O., & Sahap, A. (2018). Mapping of bioclimatic comfort for potential planning using GIS in Aydin. Environment, Development and Sustainability, 20(1), 361–375. https://doi.org/10.1007/s10668-016-9885

    Article  Google Scholar 

  • Cetin, M., Yildirim, E., Canturk, U., Sevik, H. (2018b). Chapter 25: Investigation of bioclimatic comfort area of Elazig city centre. In book title: Recent researches in science and landscape management, Air Qual Atmos Health Cambridge Scholars Publishing. ISBN (10): 1–5275–1087–5, ISBN(13): 978–1–5275–1087–6, Lady Stephenson Library, Newcastle up-on Tyne, NE6 2PA, UK. pp. 324–333

  • Cetin, M., Adiguzel, F., Gungor, S., Kaya, E., & Sancar, M. S. (2019). Evaluation of thermal climatic region areas in terms of building density in urban management and planning for Burdur, Turkey. Air, Quality, Atmosphere and Health. https://doi.org/10.1007/s11869-019-00727-3

    Article  Google Scholar 

  • Cetin, M., Ozel, H. B., Cali, K., & Canturk, U. (2019). Biocomforts in urban landscape planning studies. In Y. Aksoy (Ed.), Climate change and cities structural environment and green areas (pp. 177–193). Istanbul: Ozgur Ozturk DAKAM Publications.

    Google Scholar 

  • Cetin, M., Zeren, I, (2016). Evaluation of the value of biocomfort for Kastamonu-Inebolu. International conference GREDIT’2016–green development infrastructure technology, Poster section 4:Management of Urban and industrial waste, Climate change–biodiversity–efficiency, ISBN 978-608-4624-21-9, 31.03 and01.04 2016, pp. 4–35, page: 310, Skopje, Macedonia

  • Chapman, L., & Thornes, J. E. (2011). What spatial resolution do we need for a route based road weather decision support system?’. Theory Application Climatology, 105, 551–559.

    Article  Google Scholar 

  • Chapman, L., Thornes, J. E., & Bradley, A. V. (2001). Statistical modelling of road surface temperatures from a geographical parameter database. Meteorological Applications, 8, 409–419.

    Article  Google Scholar 

  • Chapman, L., Thornes, J. E., & Bradley, A. V. (2005). The influence of traffic on Road surface temperatures: Implication for thermal mapping studies’. Meteorological Applications, 12, 371–380.

    Article  Google Scholar 

  • Chapman, L., Thornes, J. E., & Bradley, A. V. (2011a). Modelling of Road surface temperature from a geographical parameter database. Part 1 Statistical. Meteorological Applications, 8, 409–419.

    Article  Google Scholar 

  • Chapman, L., Thornes, J. E., & Bradley, A. V. (2011b). Modelling of Road surface temperature from a geographical parameter database. Part, Numerical. Meteorological Applications, 8, 421–436.

    Article  Google Scholar 

  • Falahatkar, S., Hosseini, S. M., & Soffianian, A. R. (2011). The relationship between land cover changes and spatial-temporal dynamics of land surface temperature. Indian Journal of Science and Technology, 4(2), 76–81.

    Article  Google Scholar 

  • Grimm, N. B., Faeth, S. H., Golubiewski, N. E., Redman, C. L., Wu, J., Bai, X., & Briggs, J. M. (2008). Global change and the ecology of cities. Science, 319(5864), 756–760.

    Article  CAS  Google Scholar 

  • Gustavsson, T., Bogren, J., & Green, C. (2001). Road climate in cities: A study of the Stockholm area, south-east Sweden. Meteorological Applications, 8, 481–490.

    Article  Google Scholar 

  • Gustavsson, T., Borgen, J., & Green, C. (2001). Road climate in cities, a study of the Stockholm area, south east Sweden. Meteorological Applications, 8, 481–489.

    Article  Google Scholar 

  • Jamaludin, J. A. (2012). Influence of traffic and transportation characteristics over road surface temperature (RST).

  • Kalthoff, N., Baumer, D., Corsmeier, U., Kohler, M., & Vogel, B. (2005). Vehicle-induced turbulence near a motorway. Atmospheric Environment, 39, 5737–5749.

    Article  CAS  Google Scholar 

  • Li, X., & Norforda, L. K. (2016). Evaluation of cool roof and vegetations in mitigating urban heat island in a tropical city, Singapore. Urban Climate, 16, 59–74.

    Article  Google Scholar 

  • Li, Y. Y., Zhang, H., & Kainz, W. (2012). Monitoring patterns of urban heat islands of the fast growing Shanghai metropolis China using time-series of Landsat TM/ETM+ data. International Journal of Applied Earth Observation and Geoinformation, 9, 127–138.

    Article  Google Scholar 

  • Li, X., Zhou, Y., Asrar, G. R., Imhoff, M., & Li, X. (2017). The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States. Science of the Total Environment, 605–606, 426–435.

    Article  Google Scholar 

  • Lowe, S. A. (2016). An energy and mortality impact assessment of the urban heat island in the US. Environmental Impact Assessment Review, 56, 139–144.

    Article  Google Scholar 

  • Md Din, M. F., Dzinun, H., Ponraj, M., Chelliapan, S., Noor, Z. Z., et al. (2012). Investigation of thermal effect on exterior wall surface of building material at Urban City Area. Journal of Civil Environment Engineering, 2, 110. https://doi.org/10.4172/2165-784X.1000110

    Article  Google Scholar 

  • Oke, T. R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108, 1–24.

    Google Scholar 

  • Prusa, J. M., Segal, M., Temeyer, B. R., Gallus, W. A., & Takle, E. S. (2002). Conceptual and scaling evaluation of vehicle traffic thermal effects on snow/ice covered roads. Journal of Applied Meteorology, 41, 1225–1240.

    Article  Google Scholar 

  • Scharsich, V., Mtata, K., Hauhs, M., Lange, H., & Bogner, C. (2017). Analysing land cover and land use change in the Matobo National Park and surroundings in Zimbabwe. Remote Sensing of Environment, 194, 278–286.

    Article  Google Scholar 

  • Sinha, S., Pandey, P. C., & Sharma, L. K. (2014). Remote estimation of land surface temperature for different LULC features of a moist deciduous tropical forest region. In P. K. Srivastava, S. Mukherjee, M. Gupta, & T. Islam (Eds.), Remote Sensing Applications in Environment Research (pp. 57–68). NewYork: Springer.

    Chapter  Google Scholar 

  • Smoliak, B. V., Snyder, P. K., Twine, T. E., Mykleby, P. M., & Hertel, W. F. (2015). Dense network observations of the Twin Cities canopy-layer urban heat island. Journal of Applied Meteorological Climatology, 54, 1899–1991.

    Article  Google Scholar 

  • Thornes, J. E., & Shao, J. (1991). Spectral analysis and sensitivity tests for a numerical road surface temperature prediction model. Meteorological Magazine, 120, 117–123.

    Google Scholar 

  • Vij, S., Moors, E., Ahmad, B., Uzzaman, A., Bhadwal, S., Biesbroek, R., et al. (2017). Climate adaptation approaches and key policy characteristics: Cases from South Asia. Environment Science and Policy, 78, 58–65.

    Article  Google Scholar 

  • Voogt, J. A., & Oke, T. R. (2003). Thermal remote sensing of urban climates. Remote Sensing of Environment, 86(2003), 370–384. https://doi.org/10.1016/S0034-4257(03)00079-8

    Article  Google Scholar 

  • Yuan, C., & Chen, L. (2011). Mitigating urban heat island effects in high density cities based on sky view factor and urban morphological understanding: A study of Hong Kong. Architectural Science Review, 54, 305–315.

    Article  Google Scholar 

  • Zhao, L., Lee, X., Smith, R. B., & Oleson, K. (2014). Strong contributions of local background climate to urban heat islands. Nature, 511, 216–219.

    Article  CAS  Google Scholar 

  • Zhou, D., et al. (2016). Spatiotemporal trends of urban heat island effect along the urban development intensity gradient in China. Science of the Total Environment, 544, 617–626.

    Article  CAS  Google Scholar 

  • Zhu, R., Wong, M. S., Guilbert, E., & Chan, P. W. (2017). Understanding Heat pattern produced by produced by vehicular flows in urban areas. Scientific Reports, 7, 16309. https://doi.org/10.1038/s41598-017-15869-6

    Article  CAS  Google Scholar 

Download references

Acknowledgement

This research paper is the part of a Ph.D. (Doctor of Philosophy) research work as to address the issue of urban heat and mitigation measures at Jorhat town under Centre for Studies in Geography, Dibrugarh University, Dibrugarh, Assam, India. This research is completely self-financed and does not receive any institutional funding.

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  1. Centre for Studies in Geography, Dibrugarh University, Dibrugarh, Assam, India

    Rituraj Neog & Shukla Acharjee

  2. Department of Statistics, Dibrugarh University, Dibrugarh, Assam, India

    Jiten Hazarika

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  1. Rituraj Neog
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Neog, R., Acharjee, S. & Hazarika, J. Spatiotemporal analysis of road surface temperature (RST) and building wall temperature (BWT) and its relation to the traffic volume at Jorhat urban environment, India. Environ Dev Sustain 23, 10080–10092 (2021). https://doi.org/10.1007/s10668-020-01047-8

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