Infilling streamflow data using HEC_HMS

A set of quality control streamflow data is always required in the planning, design and management of water resources projects. Although every effort has been made by the authority in the collection of complete and continuous hydrological data such as rainfall and streamflow, gaps and incomplete dat...

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Main Authors: Hong, Kee An, Hong, Jer Lang, Ibrahim, Izihan, Hakim, Nur Wajihah
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:http://irep.iium.edu.my/82872/1/82872_Infilling%20streamflow%20data%20using%20HEC_HMS.pdf
http://irep.iium.edu.my/82872/
https://www.myiem.org.my/content/iem_journal-946.aspx
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spelling my.iium.irep.828722021-08-03T09:24:00Z http://irep.iium.edu.my/82872/ Infilling streamflow data using HEC_HMS Hong, Kee An Hong, Jer Lang Ibrahim, Izihan Hakim, Nur Wajihah TA170 Environmental engineering. Sustainable engineering TA197 Engineering meteorology TC401 River, lake, and water-supply engineering (General) TH6014 Environmental engineering. A set of quality control streamflow data is always required in the planning, design and management of water resources projects. Although every effort has been made by the authority in the collection of complete and continuous hydrological data such as rainfall and streamflow, gaps and incomplete data sets with inadequate length are always encountered, as is always the case. These can be due to faulty field instruments, the occurrence of natural disasters and other reasons. Over the years, various techniques have been developed to infill the missing data, especially the streamflow data. These techniques include regression analysis ,rainfall runoff modelling and the use of artificial neural networks(ANN) data driven models. In this study, the HEC-HMS model is used to simulate long term daily streamflow of Sg Melaka. The process involved using recorded flow and rainfall data of 1989-1992 to calibrate the model and the model validation using records of 1985-1986. Results show that the model can be used to estimate the flows of Sg Melaka once properly calibrated. This is also shown in the results of flow duration curves. From this study, it can be concluded that missing flows of Sg Melaka can be infilled using the HEC-HMS moel and daily rainfall records in the basin. Streamflow records can be extended if complete rainfall records are available for periods where no streamflow records are available. 2020-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/82872/1/82872_Infilling%20streamflow%20data%20using%20HEC_HMS.pdf Hong, Kee An and Hong, Jer Lang and Ibrahim, Izihan and Hakim, Nur Wajihah (2020) Infilling streamflow data using HEC_HMS. The Journal of the Institution of Engineers, Malaysia, 81 (1). pp. 33-38. ISSN 0126-513X https://www.myiem.org.my/content/iem_journal-946.aspx
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TA170 Environmental engineering. Sustainable engineering
TA197 Engineering meteorology
TC401 River, lake, and water-supply engineering (General)
TH6014 Environmental engineering.
spellingShingle TA170 Environmental engineering. Sustainable engineering
TA197 Engineering meteorology
TC401 River, lake, and water-supply engineering (General)
TH6014 Environmental engineering.
Hong, Kee An
Hong, Jer Lang
Ibrahim, Izihan
Hakim, Nur Wajihah
Infilling streamflow data using HEC_HMS
description A set of quality control streamflow data is always required in the planning, design and management of water resources projects. Although every effort has been made by the authority in the collection of complete and continuous hydrological data such as rainfall and streamflow, gaps and incomplete data sets with inadequate length are always encountered, as is always the case. These can be due to faulty field instruments, the occurrence of natural disasters and other reasons. Over the years, various techniques have been developed to infill the missing data, especially the streamflow data. These techniques include regression analysis ,rainfall runoff modelling and the use of artificial neural networks(ANN) data driven models. In this study, the HEC-HMS model is used to simulate long term daily streamflow of Sg Melaka. The process involved using recorded flow and rainfall data of 1989-1992 to calibrate the model and the model validation using records of 1985-1986. Results show that the model can be used to estimate the flows of Sg Melaka once properly calibrated. This is also shown in the results of flow duration curves. From this study, it can be concluded that missing flows of Sg Melaka can be infilled using the HEC-HMS moel and daily rainfall records in the basin. Streamflow records can be extended if complete rainfall records are available for periods where no streamflow records are available.
format Article
author Hong, Kee An
Hong, Jer Lang
Ibrahim, Izihan
Hakim, Nur Wajihah
author_facet Hong, Kee An
Hong, Jer Lang
Ibrahim, Izihan
Hakim, Nur Wajihah
author_sort Hong, Kee An
title Infilling streamflow data using HEC_HMS
title_short Infilling streamflow data using HEC_HMS
title_full Infilling streamflow data using HEC_HMS
title_fullStr Infilling streamflow data using HEC_HMS
title_full_unstemmed Infilling streamflow data using HEC_HMS
title_sort infilling streamflow data using hec_hms
publishDate 2020
url http://irep.iium.edu.my/82872/1/82872_Infilling%20streamflow%20data%20using%20HEC_HMS.pdf
http://irep.iium.edu.my/82872/
https://www.myiem.org.my/content/iem_journal-946.aspx
_version_ 1707765658375159808
score 13.211869