Urban Heat Island Spatial Model for Climate Village Program Planning

Munsyi Munsyi, Agung Nugroho, Ahmad Jauhari, Moh Reza Faisal
Pages 546-558
Abstract Views 871
PDF Downloads 424
Crossref Citations -
DOI https://doi.org/10.47738/jads.v5i2.223

Abstract


Global warming and climate change are critical issues impacting ecosystems, human habitats, and the overall environment. Urban Heat Island (UHI) is a significant phenomenon resulting from increased urban temperatures due to dense urban development, the use of heat-absorbing materials, and reduced vegetation. This study focuses on analyzing the UHI effect in Banjarmasin, Indonesia, using spatial regression and descriptive spatial analysis methods. By employing Land Surface Temperature (LST) data from Landsat 9 and Sentinel-2 satellite imagery, combined with data from wireless sensor networks (WSN), this research aims to develop a comprehensive UHI spatial model to inform climate village program planning. The results reveal substantial temperature variations within Banjarmasin, with urban areas showing significantly higher LST values compared to vegetated outskirts. The integration of satellite data with real-time WSN measurements provides a robust validation method, ensuring accurate environmental monitoring. This study underscores the importance of enhancing green spaces and implementing sustainable spatial planning to mitigate UHI effects. The proposed UHI spatial model offers a valuable tool for urban planners and policymakers in developing strategies to improve urban environmental quality and resilience to climate change.

Keywords


UHI; LST; NDVI; Climate Village Program; WSN

Full Text:

PDF

References


S. Jevrejeva, L. Jackson, R. Riva, A. Grinsted, and J. C. Moore, “Coastal Sea Level Rise With Warming Above 2 °C,” Proc. Natl. Acad. Sci., vol. 113, no. 47, pp. 13342–13347, 2016, doi: 10.1073/pnas.1605312113.

G. A. Meehl et al., “How Much More Global Warming and Sea Level Rise?,” Science (80-. )., vol. 307, no. 5716, pp. 1769–1772, 2005, doi: 10.1126/science.1106663.

H. K. Jabbar, M. N. Hamoodi, and A. N. Al-Hameedawi, “Urban heat islands: a review of contributing factors, effects and data,” IOP Conf. Ser. Earth Environ. Sci., vol. 1129, no. 1, p. 12038, 2023, doi: 10.1088/1755-1315/1129/1/012038.

K. Masumoto, “Urban Heat Islands BT - Environmental Indicators,” R. H. Armon and O. Hänninen, Eds. Dordrecht: Springer Netherlands, 2015, pp. 67–75. doi: 10.1007/978-94-017-9499-2_5.

K. Gadekar, C. B. Pande, J. Rajesh, S. D. Gorantiwar, and A. A. Atre, “Estimation of Land Surface Temperature and Urban Heat Island by Using Google Earth Engine and Remote Sensing Data BT - Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems,” C. B. Pande, K. N. Moharir, S. K. Singh, Q. B. Pham, and A. Elbeltagi, Eds. Cham: Springer International Publishing, 2023, pp. 367–389. doi: 10.1007/978-3-031-19059-9_14.

S. P. S. Kushwaha and Y. Nithiyanandam, “The Study of Heat Island and Its Relation With Urbanization in Gurugram, Delhi NCR for the Period of 1990 to 2018,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 2019, doi: 10.5194/isprs-archives-xlii-5-w3-49-2019.

A. Price, E. C. Jones, and F. Jefferson, “Vertical Greenery Systems as a Strategy in Urban Heat Island Mitigation,” Water, Air, Soil Pollut., vol. 226, no. 8, p. 247, 2015, doi: 10.1007/s11270-015-2464-9.

“Urban heat island PY - 1991 AU - Hongsuk H. Kim ER -.”

H. Xia, Y. Chen, C. Song, J. Li, J. Quan, and G. Zhou, “Analysis of surface urban heat islands based on local climate zones via spatiotemporally enhanced land surface temperature,” Remote Sens. Environ., vol. 273, p. 112972, 2022, doi: https://doi.org/10.1016/j.rse.2022.112972.

Y. Lu, M. A. Rahman, N. W. Moore, and A. J. Golrokh, “Lab-Controlled Experimental Evaluation of Heat-Reflective Coatings by Increasing Surface Albedo for Cool Pavements in Urban Areas,” Coatings, 2021, doi: 10.3390/coatings12010007.

B. Halder, J. Bandyopadhyay, and P. Banik, “Evaluation of the Climate Change Impact on Urban Heat Island Based on Land Surface Temperature and Geospatial Indicators,” Int. J. Environ. Res., vol. 15, no. 5, pp. 819–835, 2021, doi: 10.1007/s41742-021-00356-8.

Munsyi, A. Sudarsono, and M. U. H. Al Rasyid, “Secure Data Exchange Based on Wireless Sensor Network for Environmental Monitoring Using Dynamical Attributed Based Encryption,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 11, no. 4, pp. 1306–1315, 2021, doi: 10.18517/ijaseit.11.4.8546.

BHARTENDU SAJAN, SHRUTI KANGA, SURAJ KUMAR SINGH, VARUN NARAYAN MISHRA, and BOJAN DURIN, “Spatial variations of LST and NDVI in Muzaffarpur district, Bihar using Google earth engine (GEE) during 1990-2020,” J. Agrometeorol., vol. 25, no. 2 SE-Research Paper, pp. 262–267, May 2023, doi: 10.54386/jam.v25i2.2155.

Z. KHAN and A. JAVED, “Correlation between land surface temperature (LST) and normalized difference vegetation index (NDVI) in Wardha Valley Coalfield, Maharashtra, Central India,” Nov. Geod., vol. 2, no. 3 SE-Research articles, p. 53, Sep. 2022, doi: 10.55779/ng2353.

S. Kandel, B. Gyawali, J. Sandifer, S. Shrestha, and S. Upadhaya, “Assessment of Urban Heat Islands (UHIs) Using Satellite-Derived Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (LST) in Three Metropolitan Cities of Nepal,” Banko Janakari, vol. 32, no. 2, pp. 37–51, 2022, doi: 10.3126/banko.v32i2.50895.

Y. Liao et al., “Surface urban heat island detected by all-weather satellite land surface temperature,” Sci. Total Environ., vol. 811, p. 151405, 2022, doi: https://doi.org/10.1016/j.scitotenv.2021.151405.

S. Fernández-Barrés et al., “Urban environment and health behaviours in children from six European countries,” Environ. Int., vol. 165, no. March, 2022, doi: 10.1016/j.envint.2022.107319.

K. Onačillová, M. Gallay, D. Paluba, A. Péliová, O. Tokarčík, and D. Laubertová, “Combining Landsat 8 and Sentinel-2 Data in Google Earth Engine to Derive Higher Resolution Land Surface Temperature Maps in Urban Environment,” Remote Sens., vol. 14, no. 16, 2022, doi: 10.3390/rs14164076.

K. H. Pangestu, A. Jauhari, and U. Udiansyah, “ANALISIS KORELASI NlLAl NDVl (NORMALlZED DIFFERENCE VEGETATlON INDEX) DENGAN VEGETATlON DENSlTY DI KHDTK UNlVERSITAS LAMBUNG MANGKURAT,” J. Sylva Sci., vol. 6, no. 3, p. 384, 2023, doi: 10.20527/jss.v6i3.9214.

R. Rahmadanti, A. Jauhari, D. M. Asy’ari Program, and S. Kehutanan, “Distribution of Urban Heat Island at Banjarbaru Using Remote Sensing,” J. Sylva Sci., vol. 05, no. 2, pp. 194–202, 2022.

S. Taslim, D. M. Parapari, and A. Shafaghat, “Jurnal Teknologi Full paper Urban Design Guidelines to Mitigate Urban Heat Island ( UHI ) Effects In Hot-,” J. Teknol., vol. 4, no. 7, pp. 119–124, 2015.

S. Jain, S. Sannigrahi, S. Sen, S. Bhatt, S. Chakraborti, and S. Rahmat, “Urban heat island intensity and its mitigation strategies in the fast-growing urban area,” J. Urban Manag., vol. 9, no. 1, pp. 54–66, 2020, doi: 10.1016/j.jum.2019.09.004.

N. da Silva Espinoza et al., “Assessment of urban heat islands and thermal discomfort in the Amazonia biome in Brazil: A case study of Manaus city,” Build. Environ., vol. 227, no. August 2022, p. 109772, 2022, doi: 10.1016/j.buildenv.2022.109772.

F. Musco et al., Planning and climate change: Concepts, approaches, design. 2016. doi: 10.1007/978-3-319-10425-6.

H. Bahi, H. Radoine, and H. Mastouri, “Urban Heat Island: State of the Art,” in 2019 7th International Renewable and Sustainable Energy Conference (IRSEC), 2019, pp. 1–7. doi: 10.1109/IRSEC48032.2019.9078329.

H. Ashraf, T. A. El Seoud, S. Sodoudi, and A. El Zafarany, “Anisotropic Surface Urban Heat Island in Cairo, Egypt: A Spatiotemporal Analysis of Local Climate Change from 2000 to 2021,” Civ. Eng. Archit., vol. 11, no. 1, pp. 331–350, 2023, doi: 10.13189/cea.2023.110127.

W. B. Adi, Sukuryadi, J. S. Adiansyah, Ibrahim, and H. I. Johari, “Analisis Pola Spasial Fenomena Urban Heat Island ( Uhi ) Berdasarkan Faktor Emisivitas Lahan,” Geography, vol. 10, no. 2, pp. 6–7, 2022, [Online]. Available: http://journal.ummat.ac.id/index.php/geography/article/view/9740




DOI: https://doi.org/10.47738/jads.v5i2.223

Refbacks

  • There are currently no refbacks.


Barcode

Journal of Applied Data Sciences

ISSN:2723-6471 (Online)
Publisher:Bright Publisher
Website:http://bright-journal.org/JADS
Email:taqwa@amikompurwokerto.ac.id (principal contact)
  support@bright-journal.org (technical issues)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0