Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia

Atmospheric temperature; Climate models; Neural networks; Rain; Rivers; Runoff; Water resources; General circulation model; Global surface temperature; Ihacres; Malaysia; Regional climate changes; River runoffs; Statistical downscaling; Statistical downscaling model (SDSM); Climate change; artificia...

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Main Authors: Hassan Z., Shamsudin S., Harun S., Malek M.A., Hamidon N.
Other Authors: 55766149700
Format: Article
Published: Springer Verlag 2023
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spelling my.uniten.dspace-223122023-05-29T14:00:09Z Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia Hassan Z. Shamsudin S. Harun S. Malek M.A. Hamidon N. 55766149700 23568724800 15724724300 55636320055 55508370700 Atmospheric temperature; Climate models; Neural networks; Rain; Rivers; Runoff; Water resources; General circulation model; Global surface temperature; Ihacres; Malaysia; Regional climate changes; River runoffs; Statistical downscaling; Statistical downscaling model (SDSM); Climate change; artificial neural network; climate change; hydrological modeling; river flow; runoff; simulation; statistical analysis; watershed; Malaysia; West Malaysia The increase in global surface temperature in response to the changing composition of the atmosphere will significantly impact upon local hydrological regimes and water resources. This situation will then lead to the need for an assessment of regional climate change impacts. The objectives of this study are to determine current and future climate change scenarios using statistical downscaling model (SDSM) and to assess climate change impact on river runoff using artificial neural network (ANN) and identification of unit hydrographs and component flows from rainfall, evaporation and streamflow data (IHACRES) models, respectively. This study investigates the potential of ANN to project future runoff influenced by large-scale atmospheric variables for selected watershed in Peninsular Malaysia. In this study, simulations of general circulation models from Hadley Centre 3rd generation with A2 and B2 scenarios have been used. According to the SDSM projection, daily rainfall and temperature during the 2080s will increase by up to 2.23�mm and 2.02��C, respectively. Moreover, river runoff corresponding to downscaled future projections presented a maximum increase in daily river runoff of 52�m3/s. The result revealed that the ANN was able to capture the observed runoff, as well as the IHACRES. However, compared to the IHACRES model, the ANN model was unable to provide an identical trend for daily and annual runoff series. � 2015, Springer-Verlag Berlin Heidelberg. Final 2023-05-29T06:00:09Z 2023-05-29T06:00:09Z 2015 Article 10.1007/s12665-015-4054-y 2-s2.0-84931568324 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84931568324&doi=10.1007%2fs12665-015-4054-y&partnerID=40&md5=2681b30f97d1362211176054abd802cd https://irepository.uniten.edu.my/handle/123456789/22312 74 1 463 477 Springer Verlag Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Atmospheric temperature; Climate models; Neural networks; Rain; Rivers; Runoff; Water resources; General circulation model; Global surface temperature; Ihacres; Malaysia; Regional climate changes; River runoffs; Statistical downscaling; Statistical downscaling model (SDSM); Climate change; artificial neural network; climate change; hydrological modeling; river flow; runoff; simulation; statistical analysis; watershed; Malaysia; West Malaysia
author2 55766149700
author_facet 55766149700
Hassan Z.
Shamsudin S.
Harun S.
Malek M.A.
Hamidon N.
format Article
author Hassan Z.
Shamsudin S.
Harun S.
Malek M.A.
Hamidon N.
spellingShingle Hassan Z.
Shamsudin S.
Harun S.
Malek M.A.
Hamidon N.
Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia
author_sort Hassan Z.
title Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia
title_short Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia
title_full Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia
title_fullStr Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia
title_full_unstemmed Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia
title_sort suitability of ann applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of peninsular malaysia
publisher Springer Verlag
publishDate 2023
_version_ 1806427319513907200
score 13.214268