Abstract
Urbanization plays an important role in the development of urban heat islands (UHI) in urban areas. UHI is a phenomenon where the urban built landscape shows a higher air temperature conditions than the surrounding hinterland and rural landscapes. Heat island also shows a lesser fall in temperatures than the adjacent outskirts and rural areas. The atmospheric concentration of GHGs has led to global climate change and because of the frequency of heat waves led to heat stress-related mortality and morbidity in mega high-density and compact cities located in the tropical and subtropical region of Southeast Asia. It is also observed that the city is divided into various microclimatic zones, and these zones are always in the process of continuous change due to unplanned and haphazard growth in urban built form.
In this study, the openness of the urban built form which can be measured by the sky view factor ratio and calculated by various techniques to find the distribution pattern in these various microclimatic zones is calculated and analyzed. SVF is the ratio of the radiation received (or emitted) by a planar surface to the radiation emitted (or received) by the entire hemispheric environment called the sky view factor or SVF (Watson ID, Johnson GT: Int J Climatol 7:193–197, 1987). The scale of SVF is ranged between 0 and 1, where SVF is 0 which means sky is fully obstructed and SVF is 1 which means there are no obstructions. Urban environments appear as uneven artificial terrains with building materials partly different from those of natural surfaces. Generally, its strongest development occurs at night when the heat, stored in the daytime, is released (Landsberg HE: The urban climate. Elsevier, New York/London, 1981; Oke TR: Boundary layer climates. Methuen Publishers, Lagos, 1987; Wienert U, Kuttler W: Meteorol Z 14(5):677–686, 2005). In Kolkata, narrow streets and high buildings create deep canyons. This 3D geometrical configuration plays an important role in regulating long-wave radiation heat loss. Due to the fact that only a smaller part of the sky is seen from the surface (because of the horizontal and vertical unevenness of the surface elements), the outgoing long-wave radiation loss here is more restricted than in rural areas.
This study outlines the urban built form typology in various microclimatic zones in Kolkata and its impact on land surface temperature and urban heat island variations. The chapter analyzes the relationship between the aspects of urban built form and sustainable planning interventions which are proposed to ameliorate the impact of urban heat island in Kolkata for improving the quality and usability of outdoor spaces in terms of human health and sustainable future.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bärring L, Mattsson JO, Lindqvist S (1985) Canyon geometry, street temperatures and urban heat island in malmö, sweden. J Climatol 5(4):433–444
Becker F, Li ZL (1990) Temperature-independent spectral indices in thermal infrared bands. Remote Sens Environ 32(1):17–33
Brunsell NA, Gillies RR (2003) Length scale analysis of surface energy fluxes derived from remote sensing. J Hydrometeorol 4:1212–1219
Charabi Y, Bakhit A (2011) Assessment of the canopy urban heat island of a coastal arid tropical city: The case of Muscat, Oman. Atmos Res 101(1–2):215–227
Chatterjee S, Khan A, Dinda A, Mithun S, Khatun R, Akbari H, Kusaka H, Mitra C, Bhatti SS, Van DQ, Wang Y (2019) Simulating micro-scale thermal interactions in different building environments for mitigating urban heat islands. Sci Total Environ 663:610–631
Chen L, Ng E (2011) Quantitative urban climate mapping based on a geographical database: a simulation approach using Hong Kong as a case study. Int J Appl Earth Obs Geoinf 13(4):586–594
Cutter SL, Ash KD, Emrich CT (2014) The geographies of community disaster resilience. Glob Environ Change 29:65–77
Donnay JP, Barnsley MJ, Longley PA (2001) Remote sensing and urban analysis, 1st edn. Taylor & Francis, London/New York
Dousset B, Gourmelon F (2003) Satellite multi-sensor data analysis of urban surface temperatures and landcover. ISPRS J Photogramm Remote Sens 58(1–2):43–54
Gillespie A, Rokugawa S, Matsunaga T, Cothern JS, Hook S, Kahle AB (1998) A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images. IEEE Trans Geosci Remote Sens 36(4):1113–1126
Golany GS (1996) Urban design morphology and thermal performance. Atmos Environ 30(3):455–465
Grimmond CSB, Potter SK, Zutter HN, Souch C (2001) Rapid methods to estimate sky-view factors applied to urban areas. Int J Climatol 21(7):903–913
Herold M, Hemphill J, Dietzel C, Clarke KC (2005) Remote sensing derived mapping to support urban growth theory. In: 3rd international symposium remote sensing and data fusion over urban areas (URBAN 2005) and 5th international symposium remote sensing of urban areas (URS 2005)
Jensen J, Cowen D (1999) Remote sensing of urban/suburban infrastructure and socio-economic attributes. Photogram Eng Remote Sens Photogrammetric Eng Remote Sens 65(5):611–622
Jimenez-Munoz JC, Sobrino JA, Gillespie AR (2012) Surface emissivity retrieval from airborne hyperspectral scanner data: insights on atmospheric correction and noise removal. IEEE Geosci Remote Sens Lett 9:180–184
Kustas W, Anderson M (2009) Advances in thermal infrared remote sensing for land surface modeling. Agric For Meteorol 149(12):2071–2081
Landsberg H (1981) The Urban Climate 28, 275
Lo C (1997) Integration of landsat thematic mapper and census data for quality of life assessment. Remote Sens Environ 62(2):143–157
Lu D, Weng Q (2007) A survey of image classification methods and techniques for improving classification performance. Int J Remote Sens 28:823–870
Ojeh V, Balogun A, Okhimamhe A (2016) Urban-rural temperature differences in Lagos. Climate 4(2):29
Oke TR (1987) Boundary layer climates, 2nd edn. Methuen Publishers, Lagos
Oke TR (1988) Street design and urban canopy layer climate. Energ Build 11(1–3):103–113
O’Malley C, Piroozfar P, Farr ERP, Francesco Pomponi F (2015) Urban Heat Island (UHI) mitigating strategies: a case-based comparative analysis. Sustain Cities Soc 19:222–235
Ozkeresteci I, Crewe K, Brazel AJ, Bruse M (2003) Use and evaluation of the Envi-Met model for environmental design and planning: an experiment on linear parks. In: Proceedings of the 21st international cartographic conference (ICC). Durban, South Africa, pp 10–16
Pandey P, Kumar D, Prakash A, Masih J, Singh M, Kumar S, Jain VK, Kumar K (2012) A study of urban heat island and its association with particulate matter during winter months over Delhi. Sci Total Environ 414:494–507
Perini K, Magliocco A (2014) Effects of vegetation, urban density, building height, and atmospheric conditions on local temperatures and thermal comfort. Urban For Urban Green 13(3):495–506
Qin Z, Karnieli A (1999) Progress in the remote sensing of land surface temperature and ground emissivity using NOAA-AVHRR data. Int J Remote Sens 20:2367–2393. https://doi.org/10.1080/014311699212074
Sobrino J, Jiménez-Muñoz JC, Paolini L (2004) Land surface temperature retrieval from LANDSAT TM 5. Remote Sens Environ 90:434–440
Sodoudi S, Fallah B, Walter BS, Schubert S (2015) The ability of mesoscale climate model COSMO-CLM with the double canyon urban canopy scheme to simulate the urban heat island in Berlin. Toulouse, France, s.n
Stewart ID, Oke TR (2009) Newly developed “thermal climate zones” for defining and measuring urban heat island “magnitude” in the canopy layer. In: Eighth symposium on urban environment. J8.2A
Stewart ID, Oke TR (2012) Local climate zones for urban temperature studies. Bull Am Meteorol Soc 93(12):1879–1900
Svensson MK (2004) Sky view factor analysis – implications for urban air temperature differences. Meteorol Appl 11(3):201–211
Unger J (2004) Intra-urban relationship between surface geometry and urban heat island: review and new approach. Clim Res 27:253–264
Van Hove LWA, Jacobs CMJ, Heusinkveld BG, Elbers JA, Van Driel BL, Holtslag AAM (2015) Temporal and spatial variability of urban heat island and thermal comfort within the Rotterdam agglomeration. Build Environ 83:91–103
Wang Z, Xing W, Huang Y, Xie T (2016) Studying the urban heat Island using a local climate zone scheme. Polish J Environ Stud 25:2609–2616
Watson ID, Johnson GT (1987) Graphical estimation of sky view-factors in urban environments. Int J Climatol 7(2):193–197
Wienert U, Kuttler W (2005) The dependence of the urban heat island intensity on latitude A statistical approach. Meteorol Z 14(5):677–686
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Bajani, S., Das, D. (2020). Sustainable Planning Interventions in Tropical Climate for Urban Heat Island Mitigation – Case Study of Kolkata. In: Ghosh, M. (eds) Perception, Design and Ecology of the Built Environment. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-030-25879-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-25879-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-25878-8
Online ISBN: 978-3-030-25879-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)