Preprint Article Version 1 This version is not peer-reviewed

Spatio-Temporal Analysis of Urban Heat Island (UHI) Intensity in Mbombela City, Mpumalanga Province from 2008 to 2023

Version 1 : Received: 3 October 2024 / Approved: 4 October 2024 / Online: 4 October 2024 (14:53:13 CEST)

How to cite: Magagula, N. Q. Spatio-Temporal Analysis of Urban Heat Island (UHI) Intensity in Mbombela City, Mpumalanga Province from 2008 to 2023. Preprints 2024, 2024100348. https://doi.org/10.20944/preprints202410.0348.v1 Magagula, N. Q. Spatio-Temporal Analysis of Urban Heat Island (UHI) Intensity in Mbombela City, Mpumalanga Province from 2008 to 2023. Preprints 2024, 2024100348. https://doi.org/10.20944/preprints202410.0348.v1

Abstract

Urban Heat Islands (UHI) are a growing concern in rapidly urbanizing regions, leading to significant ecological and public health challenges. This study investigates the spatiotemporal dynamics of UHI intensity in Mbombela City, Mpumalanga Province, South Africa, from 2008 to 2023. Using Landsat satellite imagery and geospatial analysis techniques, the research quantifies changes in land cover and their impact on Land Surface Temperature (LST) and UHI intensity. The results show that built-up areas increased by 86.67% over the study period, while vegetation cover decreased by 22.22%. Mean LST rose from 28.3°C in 2008 to 30.1°C in 2023, indicating a significant intensification of the UHI effect. Statistical analyses reveal strong correlations between urbanization metrics and UHI intensity, highlighting the role of human activities in exacerbating this phenomenon. This research contributes valuable insights for urban planning and climate adaptation strategies, particularly in secondary cities like Mbombela, where rapid development is creating new environmental challenges. The findings underscore the need for green infrastructure and nature-based solutions to mitigate the negative impacts of urbanization.

Keywords

UHI; Land Surface Temperature (LST); Spatio-Temporal Analysis; Urbanization

Subject

Environmental and Earth Sciences, Remote Sensing

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