Alternative approach for determining streamflow discharge using SWAT model and remote sensing databases in Poorly Gauged basin

Flood issues have always been major disaster in many countries especially the tropical regions where extreme precipitations occurred during the monsoon seasons. Hence, well-established hydrological modelling framework is required to estimate the peak discharge in the river network as part of flood m...

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Main Authors: Muhammad Amiruddin, Zulkifli, Gisen, Jacqueline Isabella Anak, Ahmad Yussof, Ahmad Zolkifli, Mohd Naffidi, Abd Latif, Syarifuddin, Misbari
Format: Conference or Workshop Item
Language:English
English
Published: AIP Publishing 2024
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42985/1/Alternative%20Approach%20for%20Determining%20Streamflow%20Discharge%20Using%20SWAT%20Model%20and%20Remote%20Sensing%20Databases%20in%20Poorly%20Gauged%20Basin%20-%20intro.pdf
http://umpir.ump.edu.my/id/eprint/42985/2/Alternative%20Approach%20for%20Determining%20Streamflow%20Discharge%20Using%20SWAT%20Model%20and%20Remote%20Sensing%20Databases%20in%20Poorly%20Gauged%20Basin.pdf
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author Muhammad Amiruddin, Zulkifli
Gisen, Jacqueline Isabella Anak
Ahmad Yussof, Ahmad Zolkifli
Mohd Naffidi, Abd Latif
Syarifuddin, Misbari
author_facet Muhammad Amiruddin, Zulkifli
Gisen, Jacqueline Isabella Anak
Ahmad Yussof, Ahmad Zolkifli
Mohd Naffidi, Abd Latif
Syarifuddin, Misbari
author_sort Muhammad Amiruddin, Zulkifli
collection UMP
description Flood issues have always been major disaster in many countries especially the tropical regions where extreme precipitations occurred during the monsoon seasons. Hence, well-established hydrological modelling framework is required to estimate the peak discharge in the river network as part of flood mitigation measures. Unfortunately, in poorly gauged river basin, observations data required for performing hydrological modelling such as landuse changes, climatology data, hydrological data, and soil information are often insufficient and difficult to obtained. The objectives of this study are to utilize readily accessible remote sensing data to generate the topography, land use characteristics, and climate data, and to establish the hydrological model framework for determining the peak streamflow discharge in poorly gauged basin. For this study, hydrological modelling was performed using ArcSWAT, an integrated extension in ArcGIS. Two types of data are used for the simulation, remote sensing climate data (RSCD) and observe climate data (OCD). There were 20 subbasins delineated for Kuantan River Basin with a total number of 87 Hydrological Response Unit (HRU) defined through ArcGIS. The periods used for calibration and validation of the hydrological model selected were from January 2010 to December 2011 and January 2017 to December 2018 based on the availability of the climate data to run the simulation. Both data will be the compared using observed streamflow data (OSD) at Station Bukit Kenau. Overall result obtained from the simulation, the observed climate data give better prediction than remote sensing climate data by comparing the performance rating using Ration of Standard deviation to RSME (RSR) and Percentage bias (PBIAS).
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spelling UMPir429852024-11-27T06:28:53Z http://umpir.ump.edu.my/id/eprint/42985/ Alternative approach for determining streamflow discharge using SWAT model and remote sensing databases in Poorly Gauged basin Muhammad Amiruddin, Zulkifli Gisen, Jacqueline Isabella Anak Ahmad Yussof, Ahmad Zolkifli Mohd Naffidi, Abd Latif Syarifuddin, Misbari TA Engineering (General). Civil engineering (General) Flood issues have always been major disaster in many countries especially the tropical regions where extreme precipitations occurred during the monsoon seasons. Hence, well-established hydrological modelling framework is required to estimate the peak discharge in the river network as part of flood mitigation measures. Unfortunately, in poorly gauged river basin, observations data required for performing hydrological modelling such as landuse changes, climatology data, hydrological data, and soil information are often insufficient and difficult to obtained. The objectives of this study are to utilize readily accessible remote sensing data to generate the topography, land use characteristics, and climate data, and to establish the hydrological model framework for determining the peak streamflow discharge in poorly gauged basin. For this study, hydrological modelling was performed using ArcSWAT, an integrated extension in ArcGIS. Two types of data are used for the simulation, remote sensing climate data (RSCD) and observe climate data (OCD). There were 20 subbasins delineated for Kuantan River Basin with a total number of 87 Hydrological Response Unit (HRU) defined through ArcGIS. The periods used for calibration and validation of the hydrological model selected were from January 2010 to December 2011 and January 2017 to December 2018 based on the availability of the climate data to run the simulation. Both data will be the compared using observed streamflow data (OSD) at Station Bukit Kenau. Overall result obtained from the simulation, the observed climate data give better prediction than remote sensing climate data by comparing the performance rating using Ration of Standard deviation to RSME (RSR) and Percentage bias (PBIAS). AIP Publishing 2024 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42985/1/Alternative%20Approach%20for%20Determining%20Streamflow%20Discharge%20Using%20SWAT%20Model%20and%20Remote%20Sensing%20Databases%20in%20Poorly%20Gauged%20Basin%20-%20intro.pdf pdf en http://umpir.ump.edu.my/id/eprint/42985/2/Alternative%20Approach%20for%20Determining%20Streamflow%20Discharge%20Using%20SWAT%20Model%20and%20Remote%20Sensing%20Databases%20in%20Poorly%20Gauged%20Basin.pdf Muhammad Amiruddin, Zulkifli and Gisen, Jacqueline Isabella Anak and Ahmad Yussof, Ahmad Zolkifli and Mohd Naffidi, Abd Latif and Syarifuddin, Misbari (2024) Alternative approach for determining streamflow discharge using SWAT model and remote sensing databases in Poorly Gauged basin. In: AIP Conference Proceedings. The 2nd international conference of sustainable earth resources engineering 2022 , 18–20 October 2022 , Langkawi, Malaysia. pp. 1-9., 3014 (1). ISSN 0094-243X (Published) https://doi.org/10.1063/5.0195331
spellingShingle TA Engineering (General). Civil engineering (General)
Muhammad Amiruddin, Zulkifli
Gisen, Jacqueline Isabella Anak
Ahmad Yussof, Ahmad Zolkifli
Mohd Naffidi, Abd Latif
Syarifuddin, Misbari
Alternative approach for determining streamflow discharge using SWAT model and remote sensing databases in Poorly Gauged basin
title Alternative approach for determining streamflow discharge using SWAT model and remote sensing databases in Poorly Gauged basin
title_full Alternative approach for determining streamflow discharge using SWAT model and remote sensing databases in Poorly Gauged basin
title_fullStr Alternative approach for determining streamflow discharge using SWAT model and remote sensing databases in Poorly Gauged basin
title_full_unstemmed Alternative approach for determining streamflow discharge using SWAT model and remote sensing databases in Poorly Gauged basin
title_short Alternative approach for determining streamflow discharge using SWAT model and remote sensing databases in Poorly Gauged basin
title_sort alternative approach for determining streamflow discharge using swat model and remote sensing databases in poorly gauged basin
topic TA Engineering (General). Civil engineering (General)
url http://umpir.ump.edu.my/id/eprint/42985/1/Alternative%20Approach%20for%20Determining%20Streamflow%20Discharge%20Using%20SWAT%20Model%20and%20Remote%20Sensing%20Databases%20in%20Poorly%20Gauged%20Basin%20-%20intro.pdf
http://umpir.ump.edu.my/id/eprint/42985/2/Alternative%20Approach%20for%20Determining%20Streamflow%20Discharge%20Using%20SWAT%20Model%20and%20Remote%20Sensing%20Databases%20in%20Poorly%20Gauged%20Basin.pdf
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