Potential Evapotranspiration Estimation Methods for Water Balance Analysis Using SWAT: A Case Study of Kelantan River Basin, Kelantan

Evapotranspiration is a significant variable of a watershed hydrological and water quality processes for surface and subsurface modelling in a basin scale. Most of the calibration and validation hydrological parameters rely on streamflow discharge. Inaccuracy calculation of the PET could disturb all...

Full description

Saved in:
Bibliographic Details
Main Authors: Husain M.K., Hayder G., Mohd Sidek L., Ahmed A.N., Kushiar K.F.
Other Authors: 57212464522
Format: Book Chapter
Published: Springer 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-25800
record_format dspace
spelling my.uniten.dspace-258002023-05-29T16:14:30Z Potential Evapotranspiration Estimation Methods for Water Balance Analysis Using SWAT: A Case Study of Kelantan River Basin, Kelantan Husain M.K. Hayder G. Mohd Sidek L. Ahmed A.N. Kushiar K.F. 57212464522 56239664100 35070506500 57214837520 57212462702 Evapotranspiration is a significant variable of a watershed hydrological and water quality processes for surface and subsurface modelling in a basin scale. Most of the calibration and validation hydrological parameters rely on streamflow discharge. Inaccuracy calculation of the PET could disturb all the simulation processes. Hence, this study aimed to evaluate the SWAT capability on the estimation of potential evapotranspiration in Kelantan characterised as forest-dominated topography in upstream catchment. The model calibration applied for the data set from 1985 to 2000 by utilising the SUFI-2 algorithm and validated for the period from 2001 to 2016 with three different PET methods: P-M, P-T, and HG. The model indicated that there was no significant difference in the value of NSE and R2. The calibration simulations give very good result in term of NSE and R2 with HG achieved 0.85, 0.86, P-T achieved 0.84, 0.86 and P-M achieved 0.83 and 0.85 respectively. However, HG tends to give lower simulated flow than P-T and P-M in terms of PBIAS were 2.5%, ?5.9% and ?1.9% respectively. While during validation, all three PETs indicated simulated higher than the observed with PBIAS were ?23.3%, ?29.3% and ?28.5%. The P-M method tends to estimate lower PET than HG and P-T with yearly simulated was accounted for approximately 66%, 70%, and 71% respectively of annual precipitation. Overall, all the available options PETs methods in SWAT, give good performance model after calibration and validation. � 2020, Springer Nature Singapore Pte Ltd. Final 2023-05-29T08:14:29Z 2023-05-29T08:14:29Z 2020 Book Chapter 10.1007/978-981-15-1971-0_9 2-s2.0-85076797875 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076797875&doi=10.1007%2f978-981-15-1971-0_9&partnerID=40&md5=6124c19aef55ccce8e8496133d7feaa1 https://irepository.uniten.edu.my/handle/123456789/25800 90 102 Springer 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 Evapotranspiration is a significant variable of a watershed hydrological and water quality processes for surface and subsurface modelling in a basin scale. Most of the calibration and validation hydrological parameters rely on streamflow discharge. Inaccuracy calculation of the PET could disturb all the simulation processes. Hence, this study aimed to evaluate the SWAT capability on the estimation of potential evapotranspiration in Kelantan characterised as forest-dominated topography in upstream catchment. The model calibration applied for the data set from 1985 to 2000 by utilising the SUFI-2 algorithm and validated for the period from 2001 to 2016 with three different PET methods: P-M, P-T, and HG. The model indicated that there was no significant difference in the value of NSE and R2. The calibration simulations give very good result in term of NSE and R2 with HG achieved 0.85, 0.86, P-T achieved 0.84, 0.86 and P-M achieved 0.83 and 0.85 respectively. However, HG tends to give lower simulated flow than P-T and P-M in terms of PBIAS were 2.5%, ?5.9% and ?1.9% respectively. While during validation, all three PETs indicated simulated higher than the observed with PBIAS were ?23.3%, ?29.3% and ?28.5%. The P-M method tends to estimate lower PET than HG and P-T with yearly simulated was accounted for approximately 66%, 70%, and 71% respectively of annual precipitation. Overall, all the available options PETs methods in SWAT, give good performance model after calibration and validation. � 2020, Springer Nature Singapore Pte Ltd.
author2 57212464522
author_facet 57212464522
Husain M.K.
Hayder G.
Mohd Sidek L.
Ahmed A.N.
Kushiar K.F.
format Book Chapter
author Husain M.K.
Hayder G.
Mohd Sidek L.
Ahmed A.N.
Kushiar K.F.
spellingShingle Husain M.K.
Hayder G.
Mohd Sidek L.
Ahmed A.N.
Kushiar K.F.
Potential Evapotranspiration Estimation Methods for Water Balance Analysis Using SWAT: A Case Study of Kelantan River Basin, Kelantan
author_sort Husain M.K.
title Potential Evapotranspiration Estimation Methods for Water Balance Analysis Using SWAT: A Case Study of Kelantan River Basin, Kelantan
title_short Potential Evapotranspiration Estimation Methods for Water Balance Analysis Using SWAT: A Case Study of Kelantan River Basin, Kelantan
title_full Potential Evapotranspiration Estimation Methods for Water Balance Analysis Using SWAT: A Case Study of Kelantan River Basin, Kelantan
title_fullStr Potential Evapotranspiration Estimation Methods for Water Balance Analysis Using SWAT: A Case Study of Kelantan River Basin, Kelantan
title_full_unstemmed Potential Evapotranspiration Estimation Methods for Water Balance Analysis Using SWAT: A Case Study of Kelantan River Basin, Kelantan
title_sort potential evapotranspiration estimation methods for water balance analysis using swat: a case study of kelantan river basin, kelantan
publisher Springer
publishDate 2023
_version_ 1806423271841726464
score 13.214268