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Identification of homogeneous areas for drought frequency analysis

Owing to high spatial and temporal rainfall variability, rationale water management decision-making is complex. Hence, it is essential to identify homogeneous areas to assist water management. This paper focusses on separating the study area into homogeneous groups to predict the risk of occurrence...

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Main Authors: Rahmat, Siti Nazahiyah, Jayasuriya, Niranjali, Bhuiyan, Muhammed
Format: Article
Language:English
Published: Penerbit UTHM 2017
Subjects:
QC Physics
Online Access:http://eprints.uthm.edu.my/3415/1/AJ%202017%20%2840%29%20Identification%20of%20homogeneous%20areas.pdf
http://eprints.uthm.edu.my/3415/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/1510
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spelling my.uthm.eprints.34152021-11-17T04:03:24Z http://eprints.uthm.edu.my/3415/ Identification of homogeneous areas for drought frequency analysis Rahmat, Siti Nazahiyah Jayasuriya, Niranjali Bhuiyan, Muhammed QC Physics Owing to high spatial and temporal rainfall variability, rationale water management decision-making is complex. Hence, it is essential to identify homogeneous areas to assist water management. This paper focusses on separating the study area into homogeneous groups to predict the risk of occurrence of a drought event. The severityduration-frequency (SDF) curves were developed to determine the relationship between the probability of a drought occurring with a certain severity and frequency at the selected stations in Victoria, Australia. Two techniques namely cluster analysis and modified Andrews curve were used in grouping study area that have similar climate characteristics with respect to risk of occurrence of drought (i.e. rainfall variability). Based on the results, mean seasonal precipitations (i.e. summer and spring) were found to be the most important parameters in clustering droughts. The study area was divided into six clusters and they adequately covered the study area. A mean drought frequency curve was developed for each homogeneous group to determine the probability of vulnerability to a drought event with a certain severity. The advantage of separating stations into homogenous groups based on similar drought characteristics is that it eliminates the necessity to carry out a detailed drought characteristic analysis for any location of interest. Penerbit UTHM 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/3415/1/AJ%202017%20%2840%29%20Identification%20of%20homogeneous%20areas.pdf Rahmat, Siti Nazahiyah and Jayasuriya, Niranjali and Bhuiyan, Muhammed (2017) Identification of homogeneous areas for drought frequency analysis. International Journal of Integrated Engineering, 9 (2). pp. 18-26. ISSN 2229-838X https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/1510
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic QC Physics
spellingShingle QC Physics
Rahmat, Siti Nazahiyah
Jayasuriya, Niranjali
Bhuiyan, Muhammed
Identification of homogeneous areas for drought frequency analysis
description Owing to high spatial and temporal rainfall variability, rationale water management decision-making is complex. Hence, it is essential to identify homogeneous areas to assist water management. This paper focusses on separating the study area into homogeneous groups to predict the risk of occurrence of a drought event. The severityduration-frequency (SDF) curves were developed to determine the relationship between the probability of a drought occurring with a certain severity and frequency at the selected stations in Victoria, Australia. Two techniques namely cluster analysis and modified Andrews curve were used in grouping study area that have similar climate characteristics with respect to risk of occurrence of drought (i.e. rainfall variability). Based on the results, mean seasonal precipitations (i.e. summer and spring) were found to be the most important parameters in clustering droughts. The study area was divided into six clusters and they adequately covered the study area. A mean drought frequency curve was developed for each homogeneous group to determine the probability of vulnerability to a drought event with a certain severity. The advantage of separating stations into homogenous groups based on similar drought characteristics is that it eliminates the necessity to carry out a detailed drought characteristic analysis for any location of interest.
format Article
author Rahmat, Siti Nazahiyah
Jayasuriya, Niranjali
Bhuiyan, Muhammed
author_facet Rahmat, Siti Nazahiyah
Jayasuriya, Niranjali
Bhuiyan, Muhammed
author_sort Rahmat, Siti Nazahiyah
title Identification of homogeneous areas for drought frequency analysis
title_short Identification of homogeneous areas for drought frequency analysis
title_full Identification of homogeneous areas for drought frequency analysis
title_fullStr Identification of homogeneous areas for drought frequency analysis
title_full_unstemmed Identification of homogeneous areas for drought frequency analysis
title_sort identification of homogeneous areas for drought frequency analysis
publisher Penerbit UTHM
publishDate 2017
url http://eprints.uthm.edu.my/3415/1/AJ%202017%20%2840%29%20Identification%20of%20homogeneous%20areas.pdf
http://eprints.uthm.edu.my/3415/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/1510
_version_ 1738581120580059136
score 13.211869

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