Abstract
The study has been conducted using IR (infrared) thermometer over 16 sites at Jorhat town for a period of 5 months. The study area constitutes urban, suburban, and peripheral rural locations. The study focuses on depicting the diurnal, monthly, and seasonal dynamics of ST condition of Jorhat town. The diurnal pattern revealed the peak ST at midday for all months, while the lowest ST is in the morning during July, September, and October, and conversely in the afternoon period during the months of November to December. The month of October displayed a maximum ST at 38.30 °C. Though, the maximum range of ST has been identified in the month of November (9.48 °C). Seasonally, the overall monsoon depicts a higher ST than post-monsoon and winter. But remarkably, the maximum intensity of ST was investigated in the post-monsoonal period. Interestingly, the RST and BWT displayed a dissimilar pattern showing the peak ST in the month of July and October while the lowest is during in the month of December respectively. The concentration of built environment with less vegetation cover is considered as a causative factor for the development of the peak ST all throughout the study period in the central part of the town.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Becker F, Li ZL (1995) Surface temperature and emissivity at various scales: definition, measurement and related problems. Remote Sens Rev 12(3–4):225–253. https://doi.org/10.1080/02757259509532286
Chui AC, Gittelson A, Sebastian E, Stamler N, Gaffin SR (2018) Urban heat islands and cooler infrastructure–measuring near-surface temperatures with hand-held infrared cameras. Urban Clim 24:51–62. https://doi.org/10.1016/j.uclim.2017.12.009
Dihkan M, Karsli F, Guneroglu N, Guneroglu A (2018) Evaluation of urban heat island effect in Turkey. Arab J Geosci (2018) 11:186. https://doi.org/10.1007/s12517-018-3533-3
Dwivedi A, Khire MV (2014) Measurement technologies for urban heat islands. Int J Emerg Technol Adv Eng 4(10)
Gartland L (2010) Ilhas de Calor: Como Mitigar Zonas de Calor em Áreas Urbanas. Oficina de textos, São Paulo
He J, Liu J, Zhuang D et al (2007) Assessing the effect of land use/land cover change on the change of urban heat island intensity. Theor Appl Climatol 90:217–226. https://doi.org/10.1007/s00704-006-0273-1
Joshi R, Raval H, Pathak M, Prajapati S, Patel A, Singh V, Kalubarme MH (2015) Urban heat island characterization and isotherm mapping using geo-informatics technology in Ahmadabad City, Gujarat State, India. Int J Geosci 6:274–285
Kumar KS, Bhaskar PU, Kumari KP (2017) Assessment and mapping of urban heat island using field data in the new capital region of Andhra Pradesh, India. Indian J Sci Technol 10(11). https://doi.org/10.17485/ijst/2017/v10i11/99983
Li H, Zhou Y, Li X, Meng L, Wang X, Wu S, Sodoudi S (2018) A new method to quantify surface urban heat island intensity. Sci Total Environ 624:262–272. https://doi.org/10.1016/j.scitotenv.2017.11.360
Mohan M, Kikegawa Y, Gurjar BR, Bhati S, Kolli NR (2013) Assessment of urban heat island effect for different land use–land cover from micrometeorological measurements and remote sensing data for megacity Delhi. Theor Appl Climatol 112:647–658. https://doi.org/10.1007/s00704-012-0758-z
Oke TR (1981) Canyon geometry and the nocturnal urban heat island: comparison of scale model and field observations. J Climatol 1:237–254
Oke TR (1982) The energetic basis of the urban heat island. Q J R Meteorol Soc 108:1–24
Oke TR (1987) Boundary layer climates, 2nd edn. Routledge, London, pp 288–294
Rasul A, Balzter H, Smith C, Remedios J, Adamu B, Sobrino JA, Srivanit M, Weng Q (2017) A review on remote sensing of urban heat and cool islands. Land 6:38. https://doi.org/10.3390/land6020038
Rigo G, Parlow E, Oesch D (2006) Validation of satellite observed thermal emission with in-situ measurements over an urban surface. Remote Sens Environ 104:201–210
Singh RB, Grover A, Zhan J (2014) Inter-seasonal variations of surface temperature in the urbanized environment of Delhi using Landsat thermal data. Energies 7:1811–1828. https://doi.org/10.3390/en7031811
Sultana S, Satyanarayana ANV (2018) Urban heat island intensity during winter over metropolitan cities of India using remote-sensing techniques: impact of urbanization. Int J Remote Sens. https://doi.org/10.1080/01431161.2018.1466072
Szymanowski M, Kryza M (2009) GIS-based techniques for urban heat island spatialization. Clim Res 38:171–187. https://doi.org/10.3354/cr00780
Voogt JA (2004) Urban heat island: hotter cities; action bioscience: North Port, FL, USA, Available online: http://www.actionbioscience.org/environment/voogt.html
Voogt JA, Oke TR (2003) Thermal remote sensing of urban climates. Remote Sens Environ 86(2003):370–384. https://doi.org/10.1016/S0034-4257(03)00079-8
Zhang Z., Ji M, Shu, J. Deng Z., Wu Y (2008) Surface urban heat island in Shanghai, China: examining the relationship between land surface temperature and impervious surface fractions derived from Landsat ETM+ imagery, Commission XXI, WG VIII/3
Acknowledgments
The authors of the manuscript are thankful to Prasanna Borah, Santo Das, Roktim Gayan, Sharmistha Rajkhowa, Bornali Gogoi, and Karisma Dutta for their help and support for the successful completion of the Research work. The authors also acknowledge the reviewers for their valuable inputs towards the improvement of this research article.
Author information
Authors and Affiliations
Corresponding author
Additional information
Editorial Handling: Zhihua Zhang
Rights and permissions
About this article
Cite this article
Neog, R., Acharjee, S. & Hazarika, J. Evaluation of spatio-temporal pattern of surface urban heat island phenomena at Jorhat, India. Arab J Geosci 12, 316 (2019). https://doi.org/10.1007/s12517-019-4484-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12517-019-4484-z