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Effective Government Management of Flood Discharge in Drainage Channels using HEC-RAS 6.3.1 Application

APTISI Transactions on Management (ATM) · Vol. 7 No. 3 (2023) · hlm. 203–213

DOI
10.33050/atm.v7i3.2115
ISSN
2622-6804, 2622-6812
Terbit
2023-08-28
Penerbit
Pandawan
Bahasa
en
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Flooding remains one of the most significant natural disasters affecting communities around the world. Proper management of flood discharge in drainage channels is essential to mitigate its impacts on public safety, infrastructure, and the environment. In recent years, advancements in hydrodynamic modeling tools, such as the Hydraulic Engineering Center's River Analysis System (HEC-RAS) 6.3.1, have provided governments with powerful tools to analyze and manage flood discharges effectively. This research aims to investigate the role of government-led management strategies in handling flood discharge within drainage channels using the HEC-RAS 6.3.1 application. The study assesses how the application's features and capabilities can be harnessed by governmental agencies to make informed decisions and implement effective flood management plans. The research methodology involves a combination of field surveys, data collection, and computer simulations using the HEC-RAS 6.3.1 software. Geographic information systems (GIS) data, topographical surveys, and historical flood records are utilized to calibrate and validate the model's accuracy. Various flood scenarios are simulated to assess the performance of different government-led management strategies. The findings of this study reveal that the integration of HEC-RAS 6.3.1 with government-led management approaches enhances the understanding of flood dynamics within drainage channels. The application facilitates the identification of critical flood-prone areas, prediction of potential flood events, and evaluation of flood mitigation measures. The government can utilize this valuable information to formulate more effective flood management policies and allocate resources efficiently.

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  • Universitas Trisakti
  • Universitas Raharja
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Dwi JulianingsihUniversitas Raharja1
Dina Paramitha AHUniversitas Trisakti1
Fathya KhansaUniversitas Trisakti1
Aryo Setyo MaulanaUniversitas Trisakti1
Rafa Nada RustandiUniversitas Trisakti1
Avelina Nathania Bennediktus Suhardjo PusokoUniversitas Trisakti1
Eric Virgiawan AryadiAfiliasi tidak diketahui1
Sih AndajaniUniversitas Trisakti1
Dina Paramitha Anggraeni HidayatUniversitas Trisakti1
Endah KurniyaningrumUniversitas Trisakti1
Nanda Zinhle O’ConnorAfiliasi tidak diketahui1
ananda satria perdanaAfiliasi tidak diketahui1
Ananda Satria perdanaUniversitas Trisakti1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://ijc.ilearning.co/ATM/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Effective Government Management of Flood Discharge in Drainage Channels using HEC-RAS 6.3.1 Application</dc:title>
	<dc:creator xml:lang="en">Nathanael, Estha</dc:creator>
	<dc:creator xml:lang="en">Sejati, Wahyu</dc:creator>
	<dc:creator xml:lang="id">Sejati, Wahyu</dc:creator>
	<dc:subject xml:lang="en">HEC- RAS</dc:subject>
	<dc:subject xml:lang="en">Flood</dc:subject>
	<dc:subject xml:lang="en">Application</dc:subject>
	<dc:subject xml:lang="en">Management</dc:subject>
	<dc:description xml:lang="en">Flooding remains one of the most significant natural disasters affecting communities around the world. Proper management of flood discharge in drainage channels is essential to mitigate its impacts on public safety, infrastructure, and the environment. In recent years, advancements in hydrodynamic modeling tools, such as the Hydraulic Engineering Center's River Analysis System (HEC-RAS) 6.3.1, have provided governments with powerful tools to analyze and manage flood discharges effectively. This research aims to investigate the role of government-led management strategies in handling flood discharge within drainage channels using the HEC-RAS 6.3.1 application. The study assesses how the application's features and capabilities can be harnessed by governmental agencies to make informed decisions and implement effective flood management plans.
The research methodology involves a combination of field surveys, data collection, and computer simulations using the HEC-RAS 6.3.1 software. Geographic information systems (GIS) data, topographical surveys, and historical flood records are utilized to calibrate and validate the model's accuracy. Various flood scenarios are simulated to assess the performance of different government-led management strategies. The findings of this study reveal that the integration of HEC-RAS 6.3.1 with government-led management approaches enhances the understanding of flood dynamics within drainage channels. The application facilitates the identification of critical flood-prone areas, prediction of potential flood events, and evaluation of flood mitigation measures. The government can utilize this valuable information to formulate more effective flood management policies and allocate resources efficiently.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2023-08-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijc.ilearning.co/ATM/article/view/2115</dc:identifier>
	<dc:identifier>10.33050/atm.v7i3.2115</dc:identifier>
	<dc:source xml:lang="en">APTISI Transactions on Management (ATM); Vol. 7 No. 3 (2023): September; 203-213</dc:source>
	<dc:source xml:lang="id">APTISI Transactions on Management (ATM); Vol 7 No 3 (2023): September; 203-213</dc:source>
	<dc:source>2622-6804</dc:source>
	<dc:source>2622-6812</dc:source>
	<dc:source>10.33050/atm.v7i3</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://ijc.ilearning.co/ATM/article/view/2115/730</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 Estha Nathanael, Wahyu Sejati (Author)</dc:rights>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>