Urban cooling optimization in Ahmedabad: Defining optimal radius for the thermal performance of water bodies and green spaces

Authors

DOI:

https://doi.org/10.35208/ert.1668915

Keywords:

Vegetation , temperature , thermal effects , UN SDG 13: climate action

Abstract

Urban water bodies and vegetation are integral components of urban landscapes. They contribute to thermal comfort, providing essential cooling effects that alleviate the impacts of rapid urbanization. The study emphasizes the importance of planning and performance assessment of these landscapes to achieve maximum cooling and extend their influence effectively. It is well-documented that urban vegetation and water bodies reduce local temperatures which can be evaluated through various landscape indices suggesting that the shape and configuration of these areas greatly impact their cooling capabilities and influence. To explore this further, a spatio-temporal analysis focusing on Land Surface Temperature (LST) is conducted by using high-resolution satellite imagery in 39 water bodies and 130 dense vegetation sites in Ahmedabad, Gujarat to identify thermal patterns and assess the cooling performance of landscape features. The analysis aimed to understand the relationship between temperature changes and the radius of landscape sites leading to the identification of the Radius of Saturation (R_sat) which is the maximum distance around a water body or green space where its cooling effect is most effective. The results indicated that the R_sat is 150 meters for water bodies and 130 meters for dense vegetation. These radii mark the points at which further increases in size do not significantly enhance the cooling effect, signifying the saturation point for thermal influence.

Downloads

Download data is not yet available.

References

[1]. Y. Cui, B. Guo, W. Li, and X. Kong, “Assessment of urban blue-green space cooling effect linking maximum and accumulative perspectives in the Yangtze River Delta, China,” Environmental Science and Pollution Research, vol. 30, no. 58, pp. 121834–121850, Nov. 2023, doi: 10.1007/s11356-023-30892-z.

[2]. Y. Xia, Q. Wang, L. Ren, and H. Wang, “Exploring Urban Heat Distribution via Intra- and Extra-Block Morphologies with Integrated Stacked Models,” Buildings, vol. 14, no. 10, p. 3187, Oct. 2024, doi: 10.3390/buildings14103187.

[3]. K. V. Sharma, V. Kumar, L. Gautam, S. Choudhary, and A. Mathew, “Geo-physical seasonal deviations of land use, terrain analysis, and water cooling effect on the surface temperature of Pune city,” Journal of Water and Climate Change, vol. 14, no. 12, pp. 4802–4820, Dec. 2023, doi: 10.2166/wcc.2023.432.

[4]. P. Jha, M. S. Joy, P. K. Yadav, S. Begam, and T. Bansal, “Detecting the role of urban green parks in thermal comfort and public health for sustainable urban planning in Delhi,” Discover Public Health, vol. 21, no. 1, p. 236, Dec. 2024, doi: 10.1186/s12982-024-00368-7.

[5]. J. A. Licón-Portillo, K. E. Martínez-Torres, P. Chung-Alonso, and E. F. Herrera Peraza, “From Block to City Scale: Greenery’s Contribution to Cooling the Urban Environment,” Urban Science, vol. 8, no. 2, p. 41, Apr. 2024, doi: 10.3390/urbansci8020041.

[6]. X. Cai, J. Yang, Y. Zhang, X. Xiao, and J. Xia, “Cooling island effect in urban parks from the perspective of internal park landscape,” Humanities and Social Sciences Communications, vol. 10, no. 1, p. 674, Oct. 2023, doi: 10.1057/s41599-023-02209-5.

[7]. A. Chen, L. Yao, R. Sun, and L. Chen, “How many metrics are required to identify the effects of the landscape pattern on land surface temperature?,” Ecological Indicators, vol. 45, pp. 424–433, Oct. 2014, doi: 10.1016/j.ecolind.2014.05.002.

[8]. R. A. Spronken-Smith and T. R. Oke, “Scale Modelling of Nocturnal Cooling in Urban Parks,” Boundary Layer Meteorol, vol. 93, no. 2, pp. 287–312, Nov. 1999, doi: 10.1023/A:1002001408973.

[9]. J. Yin et al., “Impact of urban greenspace spatial pattern on land surface temperature: a case study in Beijing metropolitan area, China,” Landscape Ecology, vol. 34, no. 12, pp. 2949–2961, Dec. 2019, doi: 10.1007/s10980-019-00932-6.

[10]. M. Amani-Beni, B. Zhang, G.-D. Xie, and Y. Shi, “Impacts of Urban Green Landscape Patterns on Land Surface Temperature: Evidence from the Adjacent Area of Olympic Forest Park of Beijing, China,” Sustainability, vol. 11, no. 2, p. 513, Jan. 2019, doi: 10.3390/su11020513.

[11]. M. Masoudi and P. Y. Tan, “Multi-year comparison of the effects of spatial pattern of urban green spaces on urban land surface temperature,” Landscape and Urban Planning, vol. 184, pp. 44–58, Apr. 2019, doi: 10.1016/j.landurbplan.2018.10.023.

[12]. Z. Zhu, B. Liu, H. Wang, and M. Hu, “Analysis of the Spatiotemporal Changes in Watershed Landscape Pattern and Its Influencing Factors in Rapidly Urbanizing Areas Using Satellite Data,” Remote Sensing, vol. 13, no. 6, p. 1168, Mar. 2021, doi: 10.3390/rs13061168.

[13]. H. Akbari and D. Kolokotsa, “Three decades of urban heat islands and mitigation technologies research,” Energy and Buildings, vol. 133, pp. 834–842, Dec. 2016, doi: 10.1016/j.enbuild.2016.09.067.

[14]. M. Jaganmohan, S. Knapp, C. M. Buchmann, and N. Schwarz, “The Bigger, the Better? The Influence of Urban Green Space Design on Cooling Effects for Residential Areas,” Journal of Environmental Quality, vol. 45, no. 1, pp. 134–145, Jan. 2016, doi: 10.2134/jeq2015.01.0062.

[15]. A. Chen, X. Zhao, L. Yao, and L. Chen, “Application of a new integrated landscape index to predict potential urban heat islands,” Ecological Indicators, vol. 69, pp. 828–835, Oct. 2016, doi: 10.1016/j.ecolind.2016.05.045.

[16]. D. Richards, T. Fung, R. Belcher, and P. Edwards, “Differential air temperature cooling performance of urban vegetation types in the tropics,” Urban Forestry & Urban Greening, vol. 50, p. 126651, Apr. 2020, doi: 10.1016/j.ufug.2020.126651.

[17]. T. Pohanková and V. Pechanec, “Assessing the Cooling Potential of Vegetation in a Central European Rural Landscape: A Local Study,” Land, vol. 13, no. 10, p. 1685, Oct. 2024, doi: 10.3390/land13101685.

[18]. Z. Jandaghian and A. Colombo, “The Role of Water Bodies in Climate Regulation: Insights from Recent Studies on Urban Heat Island Mitigation,” Buildings, vol. 14, no. 9, p. 2945, Sep. 2024, doi: 10.3390/buildings14092945.

[19]. P. Zhang, D. Ghosh, and S. Park, “Spatial measures and methods in sustainable urban morphology: A systematic review,” Landscape and Urban Planning, vol. 237, p. 104776, Sep. 2023, doi: 10.1016/j.landurbplan.2023.104776.

[20]. Y. Jia, L. Tang, M. Xu, and X. Yang, “Landscape pattern indices for evaluating urban spatial morphology – A case study of Chinese cities,” Ecological Indicators, vol. 99, pp. 27–37, Apr. 2019, doi: 10.1016/j.ecolind.2018.12.007.

[21]. A. Chen, J. Darbon, G. Buttazzo, F. Santambrogio, and J.-M. Morel, “On the equations of landscape formation,” Interfaces and Free Boundaries, Mathematical Analysis, Computation and Applications, vol. 16, no. 1, pp. 105–136, May 2014, doi: 10.4171/ifb/315.

[22]. A. Frazier, “Landscape Metrics,” Geographic Information Science & Technology Body of Knowledge, vol. 2019, no. Q2, Apr. 2019, doi: 10.22224/gistbok/2019.2.3.

[23]. K. R. Gunawardena, M. J. Wells, and T. Kershaw, “Utilising green and bluespace to mitigate urban heat island intensity,” Science of The Total Environment, vol. 584–585, pp. 1040–1055, Apr. 2017, doi: 10.1016/j.scitotenv.2017.01.158.

[24]. J. Li, C. Song, L. Cao, F. Zhu, X. Meng, and J. Wu, “Impacts of landscape structure on surface urban heat islands: A case study of Shanghai, China,” Remote Sensing of Environment, vol. 115, no. 12, pp. 3249–3263, Dec. 2011, doi: 10.1016/j.rse.2011.07.008.

[25]. H. E. Beck, N. E. Zimmermann, T. R. McVicar, N. Vergopolan, A. Berg, and E. F. Wood, “Present and future Köppen-Geiger climate classification maps at 1-km resolution,” Scientific Data, vol. 5, no. 1, p. 180214, Oct. 2018, doi: 10.1038/sdata.2018.214.

[26]. V. M. R. Muggeo, “Estimating regression models with unknown break‐points,” Statistics in Medicine, vol. 22 (19), pp. 3055–3071, Oct. 2003, doi: 10.1002/sim.1545.

Downloads

Published

2026-04-14

How to Cite

Gajjar, V., Kamble, S., Tailor, R. M., Jain, R., Upreti, K., & Tiwari, A. (2026). Urban cooling optimization in Ahmedabad: Defining optimal radius for the thermal performance of water bodies and green spaces. Environmental Research and Technology, 9(2), 278–287. https://doi.org/10.35208/ert.1668915

Issue

Section

Research Articles