Hazard assessment and modeling of erosion and sea level rise under global climate change conditions for coastal city management

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 Net...

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Main Authors: Bagheri, Milad, Ibrahim, Zelina Z., Mansor, Shattri, Abd Manaf, Latifah, Akhir, M. F., Talaat, W. I. A. W., Wolf, Isabelle D.
Format: Article
Published: American Society of Civil Engineers (ASCE) 2022
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author Bagheri, Milad
Ibrahim, Zelina Z.
Mansor, Shattri
Abd Manaf, Latifah
Akhir, M. F.
Talaat, W. I. A. W.
Wolf, Isabelle D.
author_facet Bagheri, Milad
Ibrahim, Zelina Z.
Mansor, Shattri
Abd Manaf, Latifah
Akhir, M. F.
Talaat, W. I. A. W.
Wolf, Isabelle D.
author_sort Bagheri, Milad
collection UPM
description 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 79.26  mm/year, and an average of about 25.34  mm/year, with a 1.48  m/year 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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spelling upm.eprints-1081492024-09-23T03:27:33Z http://psasir.upm.edu.my/id/eprint/108149/ Hazard assessment and modeling of erosion and sea level rise under global climate change conditions for coastal city management Bagheri, Milad Ibrahim, Zelina Z. Mansor, Shattri Abd Manaf, Latifah Akhir, M. F. Talaat, W. I. A. W. Wolf, Isabelle D. 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 79.26  mm/year, and an average of about 25.34  mm/year, with a 1.48  m/year 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. American Society of Civil Engineers (ASCE) 2022 Article PeerReviewed Bagheri, Milad and Ibrahim, Zelina Z. and Mansor, Shattri and Abd Manaf, Latifah and Akhir, M. F. and Talaat, W. I. A. W. and Wolf, Isabelle D. (2022) Hazard assessment and modeling of erosion and sea level rise under global climate change conditions for coastal city management. Natural Hazards Review, 24 (1). pp. 1-13. ISSN 1527-6988; ESSN: 1527-6996 https://ascelibrary.org/doi/10.1061/%28ASCE%29NH.1527-6996.0000593 10.1061/(asce)nh.1527-6996.0000593
spellingShingle Bagheri, Milad
Ibrahim, Zelina Z.
Mansor, Shattri
Abd Manaf, Latifah
Akhir, M. F.
Talaat, W. I. A. W.
Wolf, Isabelle D.
Hazard assessment and modeling of erosion and sea level rise under global climate change conditions for coastal city management
title Hazard assessment and modeling of erosion and sea level rise under global climate change conditions for coastal city management
title_full Hazard assessment and modeling of erosion and sea level rise under global climate change conditions for coastal city management
title_fullStr Hazard assessment and modeling of erosion and sea level rise under global climate change conditions for coastal city management
title_full_unstemmed Hazard assessment and modeling of erosion and sea level rise under global climate change conditions for coastal city management
title_short Hazard assessment and modeling of erosion and sea level rise under global climate change conditions for coastal city management
title_sort hazard assessment and modeling of erosion and sea level rise under global climate change conditions for coastal city management
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