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<p>The difference in temperature between urban areas and their rural surroundings is urban heat island (UHI). It is a remarkable phenomenon in developed as well as developing countries. The causes for this are the increase in population size, acceleration in the size of impervious surfaces and greenhouse gas emissions. The study aims at identifying the prominent cause for efficient financial, material, human &amp; environmental management. To successfully achieve the objective, climate data was taken from Meteorological Agency - Bahir Dar branch, Satellite image from USGS and population data from United Nations population prospect. The samples of the study were 200 training points used for classification, 30 climate observations and population of Gondar from 1990 to 2020. The data was analyzed using Maximum likelihood classification and Zonal Statistics algorithms, Mann-Kendall trend analysis test, T.R. Oke’s UHI computation formula and multiple linear regression. The result showed that the highest contributor of UHI is population change followed by climate change and land use change. Therefore, it is better if development activities are centered in satellite towns to contain the incoming population to the study area. In addition, the residents of the city should be advised to use renewables to reduce the release of GHGs. Furthermore, the design of buildings, construction &amp; finishing materials should be environmental friendly.</p>

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Identifying the prominent cause of urban heat Island of Gondar City, Ethiopia: using GIS, Mann-Kendall test, Oke's algorithm and regression analysis

  • 期刊论文

  • 发表日期：

    2025年5月17日

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  • Gashaw Telay Mekonnen,
  • Arega Bazezew Berlie,
  • Solomon Addisu Legesse,
  • Mesfin Anteneh

摘要

The difference in temperature between urban areas and their rural surroundings is urban heat island (UHI). It is a remarkable phenomenon in developed as well as developing countries. The causes for this are the increase in population size, acceleration in the size of impervious surfaces and greenhouse gas emissions. The study aims at identifying the prominent cause for efficient financial, material, human & environmental management. To successfully achieve the objective, climate data was taken from Meteorological Agency - Bahir Dar branch, Satellite image from USGS and population data from United Nations population prospect. The samples of the study were 200 training points used for classification, 30 climate observations and population of Gondar from 1990 to 2020. The data was analyzed using Maximum likelihood classification and Zonal Statistics algorithms, Mann-Kendall trend analysis test, T.R. Oke’s UHI computation formula and multiple linear regression. The result showed that the highest contributor of UHI is population change followed by climate change and land use change. Therefore, it is better if development activities are centered in satellite towns to contain the incoming population to the study area. In addition, the residents of the city should be advised to use renewables to reduce the release of GHGs. Furthermore, the design of buildings, construction & finishing materials should be environmental friendly.