Climatic zonation of Egypt based on high-resolution dataset using image clustering technique

Egypt, a predominantly arid and hyper-arid country, is one of the environmentally most fragile regions of the world. The country became a hot spot for climatic extremes and aridity change in the global warming context. The unavailability of a detailed and reliable climate zonation map is a major hin...

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Main Authors: Hamed, Mohammed Magdy, Nashwan, Mohamed Salem, Shahid, Shamsuddin
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2022
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Online Access:http://eprints.utm.my/103883/1/SarimahShamsudin2022_ClimaticZonationofEgyptbasedonHighResolution.pdf
http://eprints.utm.my/103883/
http://dx.doi.org/10.1186/s40645-022-00494-3
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.1038832023-12-04T06:13:40Z http://eprints.utm.my/103883/ Climatic zonation of Egypt based on high-resolution dataset using image clustering technique Hamed, Mohammed Magdy Nashwan, Mohamed Salem Shahid, Shamsuddin TA Engineering (General). Civil engineering (General) Egypt, a predominantly arid and hyper-arid country, is one of the environmentally most fragile regions of the world. The country became a hot spot for climatic extremes and aridity change in the global warming context. The unavailability of a detailed and reliable climate zonation map is a major hindrance to climatic studies in Egypt. This study attempted to generate a high-resolution climate zone map of Egypt based on a novel image analysis technique. For this purpose, a colored image representing Egypt's composite climatology was developed using three high-resolution (1-km) climate variables: rainfall, maximum temperature and minimum temperature during 1979–2013. A spherical evolution algorithm was used to classify the image into different climate zones. Subsequently, the climate zones representing similar climate distribution were merged to generate the climate map of Egypt. The study revealed that Egypt’s distinguishable climate zones could be recognized when the land area was classified into nine zones using the image analysis technique. The statistical analysis of climate variables of each zone revealed similar climatology only in two pairs of zones. The merging of similar climate zones yielded seven climate zones having distinct climate characteristics. The validation of climate zonation using various statistical tests revealed the robustness of the proposed method in classifying climate. The climate zone map generated in the study can be used as a reference for climate change analysis in Egypt. Springer Science and Business Media Deutschland GmbH 2022-12 Article PeerReviewed application/pdf en http://eprints.utm.my/103883/1/SarimahShamsudin2022_ClimaticZonationofEgyptbasedonHighResolution.pdf Hamed, Mohammed Magdy and Nashwan, Mohamed Salem and Shahid, Shamsuddin (2022) Climatic zonation of Egypt based on high-resolution dataset using image clustering technique. Progress in Earth and Planetary Science, 9 (1). pp. 1-16. ISSN 2197-4284 http://dx.doi.org/10.1186/s40645-022-00494-3 DOI:10.1186/s40645-022-00494-3
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Hamed, Mohammed Magdy
Nashwan, Mohamed Salem
Shahid, Shamsuddin
Climatic zonation of Egypt based on high-resolution dataset using image clustering technique
description Egypt, a predominantly arid and hyper-arid country, is one of the environmentally most fragile regions of the world. The country became a hot spot for climatic extremes and aridity change in the global warming context. The unavailability of a detailed and reliable climate zonation map is a major hindrance to climatic studies in Egypt. This study attempted to generate a high-resolution climate zone map of Egypt based on a novel image analysis technique. For this purpose, a colored image representing Egypt's composite climatology was developed using three high-resolution (1-km) climate variables: rainfall, maximum temperature and minimum temperature during 1979–2013. A spherical evolution algorithm was used to classify the image into different climate zones. Subsequently, the climate zones representing similar climate distribution were merged to generate the climate map of Egypt. The study revealed that Egypt’s distinguishable climate zones could be recognized when the land area was classified into nine zones using the image analysis technique. The statistical analysis of climate variables of each zone revealed similar climatology only in two pairs of zones. The merging of similar climate zones yielded seven climate zones having distinct climate characteristics. The validation of climate zonation using various statistical tests revealed the robustness of the proposed method in classifying climate. The climate zone map generated in the study can be used as a reference for climate change analysis in Egypt.
format Article
author Hamed, Mohammed Magdy
Nashwan, Mohamed Salem
Shahid, Shamsuddin
author_facet Hamed, Mohammed Magdy
Nashwan, Mohamed Salem
Shahid, Shamsuddin
author_sort Hamed, Mohammed Magdy
title Climatic zonation of Egypt based on high-resolution dataset using image clustering technique
title_short Climatic zonation of Egypt based on high-resolution dataset using image clustering technique
title_full Climatic zonation of Egypt based on high-resolution dataset using image clustering technique
title_fullStr Climatic zonation of Egypt based on high-resolution dataset using image clustering technique
title_full_unstemmed Climatic zonation of Egypt based on high-resolution dataset using image clustering technique
title_sort climatic zonation of egypt based on high-resolution dataset using image clustering technique
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url http://eprints.utm.my/103883/1/SarimahShamsudin2022_ClimaticZonationofEgyptbasedonHighResolution.pdf
http://eprints.utm.my/103883/
http://dx.doi.org/10.1186/s40645-022-00494-3
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