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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| Format: | Article |
| Language: | English |
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Penerbit UTHM
2017
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| Online Access: | http://eprints.uthm.edu.my/3415/ http://eprints.uthm.edu.my/3415/1/AJ%202017%20%2840%29%20Identification%20of%20homogeneous%20areas.pdf |
| _version_ | 1848888013031997440 |
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| author | Rahmat, Siti Nazahiyah Jayasuriya, Niranjali Bhuiyan, Muhammed |
| author_facet | Rahmat, Siti Nazahiyah Jayasuriya, Niranjali Bhuiyan, Muhammed |
| author_sort | Rahmat, Siti Nazahiyah |
| building | UTHM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T20:03:31Z |
| format | Article |
| id | uthm-3415 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:03:31Z |
| publishDate | 2017 |
| publisher | Penerbit UTHM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-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 |
| spellingShingle | QC Physics Rahmat, Siti Nazahiyah Jayasuriya, Niranjali Bhuiyan, Muhammed Identification of homogeneous areas for drought frequency analysis |
| title | 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_short | Identification of homogeneous areas for drought frequency analysis |
| title_sort | identification of homogeneous areas for drought frequency analysis |
| topic | QC Physics |
| url | http://eprints.uthm.edu.my/3415/ http://eprints.uthm.edu.my/3415/ http://eprints.uthm.edu.my/3415/1/AJ%202017%20%2840%29%20Identification%20of%20homogeneous%20areas.pdf |