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Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network

Kelantan is a state in Peninsular Malaysia that is highly vulnerable to extreme events such as drought and floods which are becoming worse because of climate change due to global warming that is caused by human activities. This study aims to evaluate the potential impacts of climate change on the fu...

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Main Authors: Armain, M. Z. S., Hassan, Z., Harun, S.
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/98111/1/SobriHarun2021_ClimateChangeImpactUnderCanESM2OnFutureRainfall.pdf
http://eprints.utm.my/id/eprint/98111/
http://dx.doi.org/10.1088/1755-1315/646/1/012033
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id my.utm.98111
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spelling my.utm.981112022-11-30T04:28:08Z http://eprints.utm.my/id/eprint/98111/ Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network Armain, M. Z. S. Hassan, Z. Harun, S. TA Engineering (General). Civil engineering (General) Kelantan is a state in Peninsular Malaysia that is highly vulnerable to extreme events such as drought and floods which are becoming worse because of climate change due to global warming that is caused by human activities. This study aims to evaluate the potential impacts of climate change on the future of rainfall in Kelantan using Artificial Neural Network. CanESM2 under three Representative Concentration Pathways (RCPs), namely RCPs 2.6, 4.5, and 8.5 for 2011-2100 are incorporated with the ANN model and are used to compare the baseline period (1972 to 2018). In general, the simulated rainfall that downscaled by using the ANN model approximates the observed rainfall (during the calibration and validation periods) reasonably well. The study also shows that the ANN model anticipates a major increase in annual rainfall in the 2080s for the RCP 8.5 scenario. 2021 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/98111/1/SobriHarun2021_ClimateChangeImpactUnderCanESM2OnFutureRainfall.pdf Armain, M. Z. S. and Hassan, Z. and Harun, S. (2021) Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network. In: 3rd International Conference on Civil and Environmental Engineering, CENVIRON 2020, 18 November 2020, Virtual, Online. http://dx.doi.org/10.1088/1755-1315/646/1/012033
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)
Armain, M. Z. S.
Hassan, Z.
Harun, S.
Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network
description Kelantan is a state in Peninsular Malaysia that is highly vulnerable to extreme events such as drought and floods which are becoming worse because of climate change due to global warming that is caused by human activities. This study aims to evaluate the potential impacts of climate change on the future of rainfall in Kelantan using Artificial Neural Network. CanESM2 under three Representative Concentration Pathways (RCPs), namely RCPs 2.6, 4.5, and 8.5 for 2011-2100 are incorporated with the ANN model and are used to compare the baseline period (1972 to 2018). In general, the simulated rainfall that downscaled by using the ANN model approximates the observed rainfall (during the calibration and validation periods) reasonably well. The study also shows that the ANN model anticipates a major increase in annual rainfall in the 2080s for the RCP 8.5 scenario.
format Conference or Workshop Item
author Armain, M. Z. S.
Hassan, Z.
Harun, S.
author_facet Armain, M. Z. S.
Hassan, Z.
Harun, S.
author_sort Armain, M. Z. S.
title Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network
title_short Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network
title_full Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network
title_fullStr Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network
title_full_unstemmed Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network
title_sort climate change impact under canesm2 on future rainfall in the state of kelantan using artificial neural network
publishDate 2021
url http://eprints.utm.my/id/eprint/98111/1/SobriHarun2021_ClimateChangeImpactUnderCanESM2OnFutureRainfall.pdf
http://eprints.utm.my/id/eprint/98111/
http://dx.doi.org/10.1088/1755-1315/646/1/012033
_version_ 1751536149164195840
score 13.211869

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