Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular 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 st...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Springer International Publishing
2015
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| Online Access: | http://eprints.uthm.edu.my/4902/1/AJ%202017%20%28226%29%20Suitability%20of%20ANN%20applied%20as%20a%20hydrological.pdf |
| _version_ | 1796869105558487040 |
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| author | Hassan, Zulkarnain Shamsudin, Supiah Harun, Sobri Abdul Malek, Marlinda Hamidon, Nuramidah |
| author_facet | Hassan, Zulkarnain Shamsudin, Supiah Harun, Sobri Abdul Malek, Marlinda Hamidon, Nuramidah |
| author_sort | Hassan, Zulkarnain |
| collection | UTHM |
| description | 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 |
| first_indexed | 2024-03-05T21:49:51Z |
| format | Article |
| id | uthm.eprints-4902 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:49:51Z |
| publishDate | 2015 |
| publisher | Springer International Publishing |
| record_format | dspace |
| spelling | uthm.eprints-49022021-12-23T06:49:24Z http://eprints.uthm.edu.my/4902/ 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 Shamsudin, Supiah Harun, Sobri Abdul Malek, Marlinda Hamidon, Nuramidah TA170-171 Environmental engineering 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 Springer International Publishing 2015 Article PeerReviewed text en http://eprints.uthm.edu.my/4902/1/AJ%202017%20%28226%29%20Suitability%20of%20ANN%20applied%20as%20a%20hydrological.pdf 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 http://dx.doi.org/10.1007/s12665-015-4054-y |
| spellingShingle | TA170-171 Environmental engineering Hassan, Zulkarnain Shamsudin, Supiah Harun, Sobri Abdul Malek, Marlinda Hamidon, Nuramidah Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia |
| 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_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_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_sort | suitability of ann applied as a hydrological model coupled with statistical downscaling model a case study in the northern area of peninsular malaysia |
| topic | TA170-171 Environmental engineering |
| url | http://eprints.uthm.edu.my/4902/1/AJ%202017%20%28226%29%20Suitability%20of%20ANN%20applied%20as%20a%20hydrological.pdf |
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