Spatial and Temporal Analysis of Thermal Comfort Before the Pandemic, Lockdown, and the Covid-19 Pandemic Transition Period in Yogyakarta City, Indonesia Using Modified Temperature-Humidity Index

Authors

  • Hamim Zaky Hadibasyir Universitas Muhammadiyah Surakarta
  • Dwi Apriyani Diharjo Universitas Muhammadiyah Surakarta
  • Dewi Kurnia Putri Universitas Muhammadiyah Surakarta
  • Dewi Novita Sari Universitas Muhammadiyah Surakarta
  • Vidya Nahdhiyatul Fikriyah Department of Natural Resources, Faculty of Geo-Information Science and Earth Observation, University of Twente, The Netherlands
  • Nada Salsabila Firdaus Universitas Muhammadiyah Surakarta

DOI:

https://doi.org/10.53824/ijddi.v4i2.88

Keywords:

land surface temperature, thermal comfort, MTHI, Covid-19

Abstract

Yogyakarta as a city of education and a tourism city has the potential to experience a very significant change in the concentration of anthropogenic activity between before the pandemic and when the lockdown policy was implemented. Also, during the pandemic transition period, it allows for changes in fluctuating thermal comfort. This study aims to analyse thermal comfort before the pandemic, lockdown, and transition of the Covid-19 pandemic in Yogyakarta City. This study utilised Landsat 8 images before the pandemic, lockdown, and the transition to the Covid-19 pandemic. Next, the land surface temperature (LST) and Normalized Difference Moisture Index (NDMI) were extracted. The LST and NDMI values are then processed to obtain thermal comfort in the form of the Modified Temperature-Humidity Index (MTHI). There was no clear pattern regarding MTHI (as a proxy of thermal comfort) before the pandemic, during the lockdown, and during the Covid 19 pandemic transition in the City of Yogyakarta. This study confirmed that there is a need of a better spectral index that reflects thermal comfort condition of a region.

References

Abraham, R. Y., & Ariffin. (2020). Analisis Tingkat Kenyamanan Lingkungan di Universitas Brawijaya Kota Malang. PLANTROPICA: Journal of Agricultural Science, 5, 153-160. https://doi.org/10.21776/ub.jpt.2020.005.2.7

Bhargava, A., Lakmini, S., & Bhargava, S. (2017). Urban Heat Island Effect: It’s Relevance in Urban Planning. Journal of Biodiversity & Endangered Species, 05. https://doi.org/10.4172/2332-2543.1000187

Choinisa, N. (2021). PPKM oleh Pemkot Yogyakarta Guna Menekan Laju Virus Covid-19. inspektorat.jogjakota.go.id. Retrieved August 18 from https://inspektorat.jogjakota.go.id/detail/index/16087

Feng, L., Zhao, M., Zhou, Y., Zhu, L., & Tian, H. (2020). The seasonal and annual impacts of landscape patterns on the urban thermal comfort using Landsat. Ecological Indicators, 110, 105798. https://doi.org/https://doi.org/10.1016/j.ecolind.2019.105798

Fikriyah, V. N., Danardono, D., Sunariya, M., Cholil, M., Abdul Hafid, T., & Ismail, M. (2022). Spatio-temporal analysis of built-up area and land surface temperature in Surakarta using Landsat imageries. Sustinere: Journal of Environment and Sustainability, 6, 92-101. https://doi.org/10.22515/sustinerejes.v6i2.187

Ghazali, M. F., Tridawati, A., Sugandi, M., Anesta, A. F., & Wikantika, K. (2021). Spatial Analysis to Mitigate the Spread of Covid-19 Based on Regional Demographic Characteristics. Forum Geografi, 35(1), 57-73.

Hadibasyir, H., Firdaus, N. S., Fikriyah, V. N., & Sari, D. (2023). Assessing Performance of Modified Spectral Indices as Land Surface Temperature Indicators in Tropical Urban Areas. IOP Conference Series: Earth and Environmental Science, 1190, 012005. https://doi.org/10.1088/1755-1315/1190/1/012005

Hadibasyir, H. Z., & Firdaus, N. S. (2022). EFFECT OF VEGETATION AND BUILDING DENSITIES TO URBAN THERMAL COMFORT (CASE STUDY OF DENPASAR CITY). Jurnal Purifikasi, 21, 11-19. https://doi.org/10.12962/j25983806.v21.i1.430

Hadibasyir, H. Z., Rijal, S. S., & Sari, D. R. (2020). Comparison of Land Surface Temperature During and Before the Emergence of Covid-19 using Modis Imagery in Wuhan City, China. Forum Geografi, 34(1), 1-15. https://doi.org/https://doi.org/10.23917/forgeo.v34i1.10862

Hardisky, M., Klemas, V., & Smart, a. (1983). The influence of soil salinity, growth form, and leaf moisture on the spectral radiance of Spartina Alterniflora canopies. Photogrammetric Engineering and Remote Sensing, 48, 77-84.

Ju, M. J., Oh, J., & Choi, Y.-H. (2021). Changes in air pollution levels after COVID-19 outbreak in Korea. Science of The Total Environment, 750, 141521. https://doi.org/https://doi.org/10.1016/j.scitotenv.2020.141521

Li, S. F., Qian, L. X., & Wang, J. (2013). Improved Temperature-Humidity Index based o n Landsat TM/ETM+ and its response to impervious surface. Geogr. Geo-Inf. Sci., 29(2), 112-115.

Metya, A., Dasgupta, P., Halder, S., Chakraborty, S., & Tiwari, Y. (2020). COVID-19 Lockdowns Improve Air Quality in the South-East Asian Regions, as Seen by the Remote Sensing Satellites. Aerosol and Air Quality Research, 20. https://doi.org/10.4209/aaqr.2020.05.0240

Peña Acosta, M., Dikkers, M., Vahdatikhaki, F., Santos, J., & Dorée, A. G. (2023). A comprehensive generalizability assessment of data-driven Urban Heat Island (UHI) models. Sustainable Cities and Society, 96, 104701. https://doi.org/https://doi.org/10.1016/j.scs.2023.104701

Ridha, S. (2017). Urban heat Island mitigation strategies in an arid climate. In outdoor thermal comfort reacheable INSA de Toulouse].

Roshan, G., Sarli, R., & Fitchett, J. M. (2022). Urban heat island and thermal comfort of Esfahan City (Iran) during COVID-19 lockdown. Journal of Cleaner Production, 352, 131498. https://doi.org/https://doi.org/10.1016/j.jclepro.2022.131498

Statistics of Yogyakarta City. (2021). Yogyakarta Municipality in Figures 2021. Yogyakarta: Statistics of Yogyakarta City

Statistics of Yogyakarta City. (2022). Yogyakarta Municipality in Figures 2022. Yogyakarta: Statistics of Yogyakarta City

Statistics of Yogyakarta City. (2023). Yogyakarta Municipality in Figures 2023. Yogyakarta: Statistics of Yogyakarta City

Tawfeeq Najah, F., Fakhri Khalaf Abdullah, S., & Ameen Abdulkareem, T. (2023). Urban Land Use Changes: Effect of Green Urban Spaces Transformation on Urban Heat Islands in Baghdad. Alexandria Engineering Journal, 66, 555-571. https://doi.org/https://doi.org/10.1016/j.aej.2022.11.005

Xu, H., Hu, X., Guan, H., & He, G. (2017). Development of a fine-scale discomfort index map and its application in measuring living environments using remotely-sensed thermal infrared imagery. Energy and Buildings, 150, 598-607. https://doi.org/https://doi.org/10.1016/j.enbuild.2017.06.003

Yogyakarta City Environmental Services. (2021). Yogyakarta City Air Quality Monitoring Results Analysis Report. Yogyakarta: Yogyakarta City Environmental Services

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. https://doi.org/10.1080/00038628.2011.613644

Downloads

Published

2024-11-21

How to Cite

Hadibasyir, H. Z., Diharjo, D. A., Putri, D. K., Sari, D. N., Fikriyah, V. N. ., & Firdaus, N. S. (2024). Spatial and Temporal Analysis of Thermal Comfort Before the Pandemic, Lockdown, and the Covid-19 Pandemic Transition Period in Yogyakarta City, Indonesia Using Modified Temperature-Humidity Index. International Journal for Disaster and Development Interface, 4(2), 177–188. https://doi.org/10.53824/ijddi.v4i2.88

Issue

Vol. 4 No. 2 (2024): October 2024

Section

Articles

License

Copyright (c) 2024 Hamim Zaky Hadibasyir, Dwi Apriyani Diharjo, Dewi Kurnia Putri, Dewi Novita Sari, Vidya Nahdhiyatul, Nada Salsabila Firdaus

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Most read articles by the same author(s)