Reservoir inflow simulation using MIKE NAM rainfall-runoff model: Case study of cameron highlands

Ringlet Reservoir in Cameron Highlands impounds water mainly from four main rivers namely Sg. Telom, Sg. Habu, Sg. Ringlet and Sg. Bertam. Due to the absence of gauge flow data, MIKE NAM rainfall runoff model was used to simulate inflow for short term and long term prediction. Peak flow is sensitive...

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Main Authors: Razad A.Z.A., Sidek L.M., Jung K., Basri H.
Other Authors: 55812761600
Format: Article
Published: Taylor's University 2023
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spelling my.uniten.dspace-235132023-05-29T14:50:01Z Reservoir inflow simulation using MIKE NAM rainfall-runoff model: Case study of cameron highlands Razad A.Z.A. Sidek L.M. Jung K. Basri H. 55812761600 35070506500 37015343400 57065823300 Ringlet Reservoir in Cameron Highlands impounds water mainly from four main rivers namely Sg. Telom, Sg. Habu, Sg. Ringlet and Sg. Bertam. Due to the absence of gauge flow data, MIKE NAM rainfall runoff model was used to simulate inflow for short term and long term prediction. Peak flow is sensitive towards any changes in Umax, TG, CQOF, CKBF, CKIF and CK1,2. All parameters except CK1,2 are sensitive in calculation of total volume. Model was calibrated for the period from 1999 to 2006 and validated for the period from 2010 to 2012 at two streamflow locations. The model is reliable to simulate flow satisfactorily especially during flood events. Model shows good agreement between the simulated and observed flow in terms of low flow, peak flow and total volume. Good calibration results were achieved for all scenarios, with NSE > 0.66, RSR < 0.6, R2 > 0.74 and PBIAS (%) < 15%. � School of Engineering, Taylor�s University. Final 2023-05-29T06:50:01Z 2023-05-29T06:50:01Z 2018 Article 2-s2.0-85059647760 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059647760&partnerID=40&md5=1931233f1a06a507ef20edcbff53e842 https://irepository.uniten.edu.my/handle/123456789/23513 13 12 4206 4225 Taylor's University Scopus
institution Universiti Tenaga Nasional
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country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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description Ringlet Reservoir in Cameron Highlands impounds water mainly from four main rivers namely Sg. Telom, Sg. Habu, Sg. Ringlet and Sg. Bertam. Due to the absence of gauge flow data, MIKE NAM rainfall runoff model was used to simulate inflow for short term and long term prediction. Peak flow is sensitive towards any changes in Umax, TG, CQOF, CKBF, CKIF and CK1,2. All parameters except CK1,2 are sensitive in calculation of total volume. Model was calibrated for the period from 1999 to 2006 and validated for the period from 2010 to 2012 at two streamflow locations. The model is reliable to simulate flow satisfactorily especially during flood events. Model shows good agreement between the simulated and observed flow in terms of low flow, peak flow and total volume. Good calibration results were achieved for all scenarios, with NSE > 0.66, RSR < 0.6, R2 > 0.74 and PBIAS (%) < 15%. � School of Engineering, Taylor�s University.
author2 55812761600
author_facet 55812761600
Razad A.Z.A.
Sidek L.M.
Jung K.
Basri H.
format Article
author Razad A.Z.A.
Sidek L.M.
Jung K.
Basri H.
spellingShingle Razad A.Z.A.
Sidek L.M.
Jung K.
Basri H.
Reservoir inflow simulation using MIKE NAM rainfall-runoff model: Case study of cameron highlands
author_sort Razad A.Z.A.
title Reservoir inflow simulation using MIKE NAM rainfall-runoff model: Case study of cameron highlands
title_short Reservoir inflow simulation using MIKE NAM rainfall-runoff model: Case study of cameron highlands
title_full Reservoir inflow simulation using MIKE NAM rainfall-runoff model: Case study of cameron highlands
title_fullStr Reservoir inflow simulation using MIKE NAM rainfall-runoff model: Case study of cameron highlands
title_full_unstemmed Reservoir inflow simulation using MIKE NAM rainfall-runoff model: Case study of cameron highlands
title_sort reservoir inflow simulation using mike nam rainfall-runoff model: case study of cameron highlands
publisher Taylor's University
publishDate 2023
_version_ 1806426209464090624
score 13.214268