Hazard Assessment and Modeling of Erosion and Sea Level Rise under Global Climate Change Conditions for Coastal City Management
Publication: Natural Hazards Review
Volume 24, Issue 1
Abstract
Sea-level rise in response to climate change and global warming severely impacts coastal cities through increased soil erosion and other hazards. Therefore, simulating threats in coastal locations is critical for coastal city management and planning. The Nonlinear Autoregressive Exogenous-Neural Network (NARX-NN) was used in conjunction with the Bruun model and GIS methods to estimate the rate of sea-level rise, develop a coastal erosion model and coastal hazards maps, and simulate a sea-level increase with a maximum speed of , and an average of about , with a average erosion rate simulated from 2013 to 2020 along Merang kechil to Kuala Marang in Terengganu state coastal areas. According to the Bruun model, the areas most vulnerable to shoreline erosion are Kuala Nerus, Pendagan Buluh, and Kuala Ibai. Batu Rakit (Reach 1) has the highest rate of coastal erosion, at 28.16%, compared to 16.5 percent in Kuala Nerus (Reach 2) and 19.1% in Pengadang Buluh (Reach 3). The findings of this study might be utilized to build new coastal hazard erosion maps in a GIS framework, which could then be used as part of Malaysia’s East Coast zone vulnerability assessment. The findings may also aid in the prioritization of conservation efforts in afflicted areas or the decision to adapt to the effects of coastal erosion. This article presents a methodological framework and an erosion management prioritization system to help coastal managers, planners, and developers identify hazardous zones and improve coastal management plans using geospatial models.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
Funding for this project has been provided by the Universiti Putra Malaysia (UPM) RUGS 4 with Project No. 03-04-11-1477RU and RUGS 6 with Project No. 03-01-12-1664RU. We acknowledge the government agencies of Peninsular Malaysia who helped with this project and the pilots who made this project possible. Data collection assistance was provided by Director Mr. Fahmi and Mr. Sharif from the Department of Survey and Mapping Malaysia (DSMM) and by JUPEM. We also like to thank NAHRIN and SMART for providing time. An acknowledgment also goes to the INOS. Higher Institution of Centre of Excellence (Vot 66928) for partially supporting the extension of this study.
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Information & Authors
Information
Published In
Natural Hazards Review
Volume 24 • Issue 1 • February 2023
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jun 18, 2021
Accepted: Jul 5, 2022
Published online: Oct 26, 2022
Published in print: Feb 1, 2023
Discussion open until: Mar 26, 2023
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