Analyzing the spatio-temporal pattern of urban growth and its influence on urban heat islands in the Sekondi-Takoradi metropolis, Ghana

被引:0
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作者
Biney, Ernest [1 ,2 ]
Forkuo, Eric Kwabena [1 ,2 ]
Poku-Boansi, Michael [3 ]
Hackman, Kwame O. [4 ]
Harris, Emmanuel [5 ]
Asare, Yaw Mensah [2 ]
Yankey, Daniel Buston [2 ]
Annan, Ernestina [1 ]
Agbenorhevi, Albert Elikplim [6 ]
机构
[1] Kwame Nkrumah Univ Sci & Technol, Dept Civil Engn, WASCAL Grad Res Programme Climate Change & Land Us, Kumasi, Ghana
[2] Kwame Nkrumah Univ Sci & Technol, Dept Geomat Engn, Univ POB PMB, Kumasi, Ghana
[3] Kwame Nkrumah Univ Sci & Technol, Dept Planning, Kumasi, Ghana
[4] WASCAL Competence Ctr, Data Management Dept, Ouagadougou, Burkina Faso
[5] Kwame Nkrumah Univ Sci & Technol, Dept Stat & Actuarial Sci, Univ POB PMB, Kumasi, Ghana
[6] Univ Abomey Calavi, WASCAL Climate Change & Water Resources, Cotonou, Benin
关键词
Normalized Difference Vegetation Index(NDVI); Urban Thermal Field Variance Index (UTFVI); Sekondi-Takoradi; Land Surface Temperature (LST); Urban Heat Island (UHI); Normalized difference built-up index (NDBI); LAND-SURFACE TEMPERATURE; CITY;
D O I
10.1016/j.sciaf.2024.e02366
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The rapid urbanization in Sekondi-Takoradi, Ghana has significantly transformed the land cover, resulting in the proliferation of impervious surfaces and a decline in vegetation. However, the influence of this urban growth on the development of urban heat islands (UHIs) in the metropolis remains understudied. This study aimed to fill this research gap by employing Landsat images to explore the influence of urban growth on urban heat islands in the metropolis from 1991 to 2023. The supervised random forest technique was utilized to map the land cover changes. Furthermore, the computed normalized difference built-up index (NDBI), normalized difference vegetation index (NDVI), land surface temperature (LST), and urban thermal field variance index (UTFVI) were used to analyze the influence of urban expansion on UHIs. The findings revealed a 63.07 km(2) increase in built-up areas and a 60.99 km(2) decrease in vegetation cover during the study period. This dramatic land use change led to a 3.1 degrees C rise in mean LST and a 19.38 km(2) expansion of areas affected by the UHI effect. The UTFVI analysis further indicated a 33.63 km(2) increase in the worst ecological zone due to the temperature rise. Statistical analysis between LST, NDVI, and NDBI revealed significant variability in explaining the intensity of LST and UHI in the metropolis over the study period. The study equips city authorities and planners with the fundamental knowledge needed to prepare a sustainable development plan that alleviates adverse effects of urban growth and elevated temperature-related issues. Also, the findings contribute to the global efforts in promoting more livable and climate-resilient urban environments.
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页数:18
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