Optimizing hydrological research: comparative analysis of DEMs for enhanced catchment area delineation

Catchment area delineation is fundamental for hydrological modeling and research pursuits. Traditionally, delineating catchment areas entailed manual demarcation on topographical maps, a laborious task requiring skilled personnel. However, with the advent of Geographical Information System (GIS)-bas...

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Main Authors: Khairul Nizam Abdul Maulud, Wong, Shawei Chan Ping, Ricky Anak Kemarau, Fazly Amri Mohd
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2024
Online Access:http://journalarticle.ukm.my/25687/
http://journalarticle.ukm.my/25687/1/02.pdf
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author Khairul Nizam Abdul Maulud,
Wong, Shawei Chan Ping
Ricky Anak Kemarau,
Fazly Amri Mohd,
author_facet Khairul Nizam Abdul Maulud,
Wong, Shawei Chan Ping
Ricky Anak Kemarau,
Fazly Amri Mohd,
author_sort Khairul Nizam Abdul Maulud,
building UKM Institutional Repository
collection Online Access
description Catchment area delineation is fundamental for hydrological modeling and research pursuits. Traditionally, delineating catchment areas entailed manual demarcation on topographical maps, a laborious task requiring skilled personnel. However, with the advent of Geographical Information System (GIS)-based software, this process has evolved, leveraging Digital Elevation Model (DEM) data for enhanced efficiency. Despite this advancement, selecting an optimal DEM remains pivotal, balancing quality with cost, given the substantial resources and approvals often necessary for high-quality DEM acquisition. This study, utilizing ArcGIS software, aimed to compare catchment area delineations derived from three distinct DEMs: Contour-based DEM, SRTM DEM, and IFSAR DEM across multiple locations. Using IFSAR DEM as the benchmark, this study demonstrate that both Contour-based DEM and SRTM DEM offer viable alternatives, exhibiting less than a 3.5% variance in delineated catchment area across all locations. Notably, SRTM DEM outperformed Contour-based DEM, boasting higher accuracy as evidenced by lower Root Mean Square Error (RMSE) values. Furthermore, this study elucidated the influence of geological and topographical factors on DEM accuracy in catchment area determination. This comprehensive understanding underscores the significance of selecting the most suitable DEM, considering factors such as cost, accuracy, and availability for future research. This study serves as a valuable resource for researchers, aiding in the judicious selection of DEMs tailored to specific research requirements, thereby enhancing the precision and efficiency of hydrological investigations.
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spelling oai:generic.eprints.org:256872025-08-12T01:10:44Z http://journalarticle.ukm.my/25687/ Optimizing hydrological research: comparative analysis of DEMs for enhanced catchment area delineation Khairul Nizam Abdul Maulud, Wong, Shawei Chan Ping Ricky Anak Kemarau, Fazly Amri Mohd, Catchment area delineation is fundamental for hydrological modeling and research pursuits. Traditionally, delineating catchment areas entailed manual demarcation on topographical maps, a laborious task requiring skilled personnel. However, with the advent of Geographical Information System (GIS)-based software, this process has evolved, leveraging Digital Elevation Model (DEM) data for enhanced efficiency. Despite this advancement, selecting an optimal DEM remains pivotal, balancing quality with cost, given the substantial resources and approvals often necessary for high-quality DEM acquisition. This study, utilizing ArcGIS software, aimed to compare catchment area delineations derived from three distinct DEMs: Contour-based DEM, SRTM DEM, and IFSAR DEM across multiple locations. Using IFSAR DEM as the benchmark, this study demonstrate that both Contour-based DEM and SRTM DEM offer viable alternatives, exhibiting less than a 3.5% variance in delineated catchment area across all locations. Notably, SRTM DEM outperformed Contour-based DEM, boasting higher accuracy as evidenced by lower Root Mean Square Error (RMSE) values. Furthermore, this study elucidated the influence of geological and topographical factors on DEM accuracy in catchment area determination. This comprehensive understanding underscores the significance of selecting the most suitable DEM, considering factors such as cost, accuracy, and availability for future research. This study serves as a valuable resource for researchers, aiding in the judicious selection of DEMs tailored to specific research requirements, thereby enhancing the precision and efficiency of hydrological investigations. Penerbit Universiti Kebangsaan Malaysia 2024-09 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/25687/1/02.pdf Khairul Nizam Abdul Maulud, and Wong, Shawei Chan Ping and Ricky Anak Kemarau, and Fazly Amri Mohd, (2024) Optimizing hydrological research: comparative analysis of DEMs for enhanced catchment area delineation. Jurnal Kejuruteraan, 36 (5). pp. 1805-1812. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3605-2024/
spellingShingle Khairul Nizam Abdul Maulud,
Wong, Shawei Chan Ping
Ricky Anak Kemarau,
Fazly Amri Mohd,
Optimizing hydrological research: comparative analysis of DEMs for enhanced catchment area delineation
title Optimizing hydrological research: comparative analysis of DEMs for enhanced catchment area delineation
title_full Optimizing hydrological research: comparative analysis of DEMs for enhanced catchment area delineation
title_fullStr Optimizing hydrological research: comparative analysis of DEMs for enhanced catchment area delineation
title_full_unstemmed Optimizing hydrological research: comparative analysis of DEMs for enhanced catchment area delineation
title_short Optimizing hydrological research: comparative analysis of DEMs for enhanced catchment area delineation
title_sort optimizing hydrological research: comparative analysis of dems for enhanced catchment area delineation
url http://journalarticle.ukm.my/25687/
http://journalarticle.ukm.my/25687/
http://journalarticle.ukm.my/25687/1/02.pdf