Assessment of climate change impact on probable maximum floods in a tropical catchment

The increases in extreme rainfall could increase the probable maximum flood (PMF) and pose a severe threat to the critical hydraulic infrastructure such as dams and flood protection structures. This study is conducted to assess the impact of climate change on PMF in a tropical catchment. Climate and...

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Main Authors: Sh. Sammen, Saad, Mohammad, Thamer Ahmad, Ghazali, Abdul Halim, Mohd. Sidek, Lariyah, Shahid, Shamsuddin, Abba, Sani Isah, Malik, Anurag, Al-Ansari, Nadhir
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Published: Springer Nature 2022
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Online Access:http://eprints.utm.my/104580/
http://dx.doi.org/10.1007/s00704-022-03925-9
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spelling my.utm.1045802024-02-21T07:34:38Z http://eprints.utm.my/104580/ Assessment of climate change impact on probable maximum floods in a tropical catchment Sh. Sammen, Saad Mohammad, Thamer Ahmad Ghazali, Abdul Halim Mohd. Sidek, Lariyah Shahid, Shamsuddin Abba, Sani Isah Malik, Anurag Al-Ansari, Nadhir TA Engineering (General). Civil engineering (General) The increases in extreme rainfall could increase the probable maximum flood (PMF) and pose a severe threat to the critical hydraulic infrastructure such as dams and flood protection structures. This study is conducted to assess the impact of climate change on PMF in a tropical catchment. Climate and inflow data of the Tenmengor reservoir, located in the state of Perak in Malaysia, have been used to calibrate and validate the hydrological model. The projected rainfall from regional climate model is used to generate probable maximum precipitation (PMP) for future periods. A hydrological model was used to simulate PMF from PMP estimated for the historical and two future periods, early (2031 − 2045) and late (2060 − 2075). The results revealed good performance of the hydrological model with Nash–Sutcliffe efficiency, 0.74, and the relative standard error, 0.51, during validation. The estimated rainfall depths were 89.5 mm, 106.3 mm, and 143.3 mm, respectively, for 5, 10, and 50 years of the return period. The study indicated an increase in PMP by 162% to 507% and 259% to 487% during early and late periods for different return periods ranging from 5 to 1000 years. This would cause an increase in PMF by 48.9% and 122.6% during early and late periods. A large increase in PMF indicates the possibility of devastating floods in the future in his tropical catchment due to climate change. Springer Nature 2022-04 Article PeerReviewed Sh. Sammen, Saad and Mohammad, Thamer Ahmad and Ghazali, Abdul Halim and Mohd. Sidek, Lariyah and Shahid, Shamsuddin and Abba, Sani Isah and Malik, Anurag and Al-Ansari, Nadhir (2022) Assessment of climate change impact on probable maximum floods in a tropical catchment. Theoretical and Applied Climatology, 148 (1-2). pp. 15-31. ISSN 0177-798X http://dx.doi.org/10.1007/s00704-022-03925-9 DOI:10.1007/s00704-022-03925-9
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/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Sh. Sammen, Saad
Mohammad, Thamer Ahmad
Ghazali, Abdul Halim
Mohd. Sidek, Lariyah
Shahid, Shamsuddin
Abba, Sani Isah
Malik, Anurag
Al-Ansari, Nadhir
Assessment of climate change impact on probable maximum floods in a tropical catchment
description The increases in extreme rainfall could increase the probable maximum flood (PMF) and pose a severe threat to the critical hydraulic infrastructure such as dams and flood protection structures. This study is conducted to assess the impact of climate change on PMF in a tropical catchment. Climate and inflow data of the Tenmengor reservoir, located in the state of Perak in Malaysia, have been used to calibrate and validate the hydrological model. The projected rainfall from regional climate model is used to generate probable maximum precipitation (PMP) for future periods. A hydrological model was used to simulate PMF from PMP estimated for the historical and two future periods, early (2031 − 2045) and late (2060 − 2075). The results revealed good performance of the hydrological model with Nash–Sutcliffe efficiency, 0.74, and the relative standard error, 0.51, during validation. The estimated rainfall depths were 89.5 mm, 106.3 mm, and 143.3 mm, respectively, for 5, 10, and 50 years of the return period. The study indicated an increase in PMP by 162% to 507% and 259% to 487% during early and late periods for different return periods ranging from 5 to 1000 years. This would cause an increase in PMF by 48.9% and 122.6% during early and late periods. A large increase in PMF indicates the possibility of devastating floods in the future in his tropical catchment due to climate change.
format Article
author Sh. Sammen, Saad
Mohammad, Thamer Ahmad
Ghazali, Abdul Halim
Mohd. Sidek, Lariyah
Shahid, Shamsuddin
Abba, Sani Isah
Malik, Anurag
Al-Ansari, Nadhir
author_facet Sh. Sammen, Saad
Mohammad, Thamer Ahmad
Ghazali, Abdul Halim
Mohd. Sidek, Lariyah
Shahid, Shamsuddin
Abba, Sani Isah
Malik, Anurag
Al-Ansari, Nadhir
author_sort Sh. Sammen, Saad
title Assessment of climate change impact on probable maximum floods in a tropical catchment
title_short Assessment of climate change impact on probable maximum floods in a tropical catchment
title_full Assessment of climate change impact on probable maximum floods in a tropical catchment
title_fullStr Assessment of climate change impact on probable maximum floods in a tropical catchment
title_full_unstemmed Assessment of climate change impact on probable maximum floods in a tropical catchment
title_sort assessment of climate change impact on probable maximum floods in a tropical catchment
publisher Springer Nature
publishDate 2022
url http://eprints.utm.my/104580/
http://dx.doi.org/10.1007/s00704-022-03925-9
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score 13.18916