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

Hassan, Zulkarnain and Shamsudin, Supiah and Harun, Sobri and Abdul Malek, Marlinda and Hamidon, Nuramidah (2015) Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia. Environmental Earth Science, 74. pp. 463-477. ISSN 1866-6280

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Official URL: http://dx.doi.org/10.1007/s12665-015-4054-y

Abstract

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 identiﬁ-cation of unit hydrographs and component ﬂows from rain-fall, 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

Item Type:	Article
Uncontrolled Keywords:	Statistical downscaling; IHACRES; Artiﬁcial neural network; River runoff; Malaysia
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA170-171 Environmental engineering
Divisions:	Faculty of Engineering Technology > Department of Civil Engineering Technology
Depositing User:	Mrs. Siti Noraida Miskan
Date Deposited:	23 Dec 2021 06:49
Last Modified:	23 Dec 2021 06:49
URI:	http://eprints.uthm.edu.my/id/eprint/4902

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