Streamflow evaluation using IHACRES model in Kelantan river basin, Malaysia

Kelantan is a flood-prone area where in the past years flood had occurred quite frequently. Determining a hydrological model that can represent Kelantan River basin by giving plausible simulated runoff according to the observed runoff is essential as this will allow appropriate prediction of future...

Full description

Bibliographic Details
Main Authors: Soo Eugene Zhen Xiang, Wan Jaafar Wan Zurina, Chin Ren Jie, Ling Lloyd, Ng Cia Yik, Prashant Srivastava
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/14/e3sconf_iccee2022_04008.pdf
_version_ 1811332314616037376
author Soo Eugene Zhen Xiang
Wan Jaafar Wan Zurina
Chin Ren Jie
Ling Lloyd
Ng Cia Yik
Prashant Srivastava
author_facet Soo Eugene Zhen Xiang
Wan Jaafar Wan Zurina
Chin Ren Jie
Ling Lloyd
Ng Cia Yik
Prashant Srivastava
author_sort Soo Eugene Zhen Xiang
collection DOAJ
description Kelantan is a flood-prone area where in the past years flood had occurred quite frequently. Determining a hydrological model that can represent Kelantan River basin by giving plausible simulated runoff according to the observed runoff is essential as this will allow appropriate prediction of future flood by using forecasted rainfall and other data. In this study, the IHACRES model was used to simulate runoff and the calibrated simulated runoff by daily scale and seasonal flood events were compared with observed runoff. In general, the IHACRES model performed better in seasonal scale as compared with annual scale in terms of calibration. However, performance of IHACRES degraded during validation stage, whereby the model tends to underestimate the high peak flows but estimate rather more accurate when no peak flows were present. In terms of annual scale, the best model was obtained by calibrating the streamflow in 2012 – 2013 (2 years), the validation results were not satisfactory with NSE = 0.473 and PBIAS = 27.7%. On the other hand, for seasonal analysis, the best model was obtained by calibrating the data of NEM 6 (November 2017 – March 2018). 3 out of 5 of the validation periods show unsatisfactory results (NSE ≤ 0.50). NEM 1 (November 2012 – March 2013) show the best validation results with NSE = 0.853. Further calibration is required in order to enhance the accuracy of the model.
first_indexed 2024-04-13T16:34:06Z
format Article
id doaj.art-6c1e715a7d9949148de9f44332fc7085
institution Directory Open Access Journal
issn 2267-1242
language English
last_indexed 2024-04-13T16:34:06Z
publishDate 2022-01-01
publisher EDP Sciences
record_format Article
series E3S Web of Conferences
spelling doaj.art-6c1e715a7d9949148de9f44332fc70852022-12-22T02:39:28ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013470400810.1051/e3sconf/202234704008e3sconf_iccee2022_04008Streamflow evaluation using IHACRES model in Kelantan river basin, MalaysiaSoo Eugene Zhen Xiang0Wan Jaafar Wan Zurina1Chin Ren Jie2Ling Lloyd3Ng Cia Yik4Prashant Srivastava5Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul RahmanDepartment of Civil Engineering, Faculty of Engineering, University of MalayaDepartment of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul RahmanDepartment of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul RahmanDepartment of Civil Engineering, Faculty of Engineering, University of MalayaInstitute of Environment and Sustainable Development, Banaras Hindu UniversityKelantan is a flood-prone area where in the past years flood had occurred quite frequently. Determining a hydrological model that can represent Kelantan River basin by giving plausible simulated runoff according to the observed runoff is essential as this will allow appropriate prediction of future flood by using forecasted rainfall and other data. In this study, the IHACRES model was used to simulate runoff and the calibrated simulated runoff by daily scale and seasonal flood events were compared with observed runoff. In general, the IHACRES model performed better in seasonal scale as compared with annual scale in terms of calibration. However, performance of IHACRES degraded during validation stage, whereby the model tends to underestimate the high peak flows but estimate rather more accurate when no peak flows were present. In terms of annual scale, the best model was obtained by calibrating the streamflow in 2012 – 2013 (2 years), the validation results were not satisfactory with NSE = 0.473 and PBIAS = 27.7%. On the other hand, for seasonal analysis, the best model was obtained by calibrating the data of NEM 6 (November 2017 – March 2018). 3 out of 5 of the validation periods show unsatisfactory results (NSE ≤ 0.50). NEM 1 (November 2012 – March 2013) show the best validation results with NSE = 0.853. Further calibration is required in order to enhance the accuracy of the model.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/14/e3sconf_iccee2022_04008.pdf
spellingShingle Soo Eugene Zhen Xiang
Wan Jaafar Wan Zurina
Chin Ren Jie
Ling Lloyd
Ng Cia Yik
Prashant Srivastava
Streamflow evaluation using IHACRES model in Kelantan river basin, Malaysia
E3S Web of Conferences
title Streamflow evaluation using IHACRES model in Kelantan river basin, Malaysia
title_full Streamflow evaluation using IHACRES model in Kelantan river basin, Malaysia
title_fullStr Streamflow evaluation using IHACRES model in Kelantan river basin, Malaysia
title_full_unstemmed Streamflow evaluation using IHACRES model in Kelantan river basin, Malaysia
title_short Streamflow evaluation using IHACRES model in Kelantan river basin, Malaysia
title_sort streamflow evaluation using ihacres model in kelantan river basin malaysia
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/14/e3sconf_iccee2022_04008.pdf
work_keys_str_mv AT sooeugenezhenxiang streamflowevaluationusingihacresmodelinkelantanriverbasinmalaysia
AT wanjaafarwanzurina streamflowevaluationusingihacresmodelinkelantanriverbasinmalaysia
AT chinrenjie streamflowevaluationusingihacresmodelinkelantanriverbasinmalaysia
AT linglloyd streamflowevaluationusingihacresmodelinkelantanriverbasinmalaysia
AT ngciayik streamflowevaluationusingihacresmodelinkelantanriverbasinmalaysia
AT prashantsrivastava streamflowevaluationusingihacresmodelinkelantanriverbasinmalaysia