Hazard Assessment and Modeling of Erosion and Sea Level Rise under Global Climate Change Conditions for Coastal City Management

Bagheri, Milad; Ibrahim, Zelina Zaiton; Mansor, Shattri; Manaf, Latifah Abd; Akhir, Mohd Fadzil; Talaat, Wan Izatul Asma Wan; Wolf, Isabelle D.

doi:10.1061/(asce)nh.1527-6996.0000593

Cited by 6 publications

(2 citation statements)

References 75 publications

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“…In this paper, two simple but well-known models were used to estimate the position of the shoreline in the future: Lee-Clark [43,44] and Leatherman [45][46][47] models. The Lee-Clark model is based on the extrapolation of historical data (LRR).…”

Section: Prediction Of Future Shorelinementioning

confidence: 99%

Anthropic Action on Historical Shoreline Changes and Future Estimates Using GIS: Guadarmar Del Segura (Spain)

Fernández-Hernández,

Calvo,

Iglesias

et al. 2023

Applied Sciences

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A good understanding of historical change rates is a key requirement for effective coastal zone management and reliable predictions of shoreline evolution. Historical shoreline erosion for the coast of Guardamar del Segura (Alicante, Spain) is analyzed based on aerial photographs dating from 1930 to 2022 using the Digital Shoreline Analysis System (DSAS). This area is of special interest because the construction of a breakwater in the 1990s, which channels the mouth of the Segura River, has caused a change in coastal behavior. The prediction of future shorelines is conducted up to the year 2040 using two models based on data analysis techniques: the extrapolation of historical data (including the uncertainty of the historical measurements) and the Bruun-type model (considering the effect of sea level rises). The extrapolation of the natural erosion of the area up to 1989 is also compared with the reality, already affected by anthropic actions, in the years 2005 and 2022. The construction of the breakwater has accelerated the erosion along the coast downstream of this infrastructure by about 260%, endangering several houses that are located on the beach itself. The estimation models predict transects with erosions ranging from centimeters (±70 cm) to tens of meters (±30 m). However, both models are often overlapping, which gives a band where the shoreline may be thought to be in the future. The extrapolation of erosion up to 1989, and its subsequent comparison, shows that in most of the study areas, anthropic actions have increased erosion, reaching values of more than 35 m of shoreline loss. The effect of anthropic actions on the coast is also analyzed on the housing on the beach of Babilonia, which has lost around 17% of its built-up area in 40 years. This work demonstrates the importance of historical analysis and predictions before making any significant changes in coastal areas to develop sustainable plans for coastal area management.

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Section: Prediction Of Future Shorelinementioning

confidence: 99%

Anthropic Action on Historical Shoreline Changes and Future Estimates Using GIS: Guadarmar Del Segura (Spain)

Fernández-Hernández,

Calvo,

Iglesias

et al. 2023

Applied Sciences

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“…This process exerts synergistic/chaotic effects on the environment and human activities in the coastal zone, primarily by destroying infrastructure and natural areas. Consequently, it affects the safety of populations living near the coast and economic activities such as tourism and damages biodiversity and coastal ecosystems [7,[12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Coastal Dynamics Analysis Based on Orbital Remote Sensing Big Data and Multivariate Statistical Models

Ferreira

Oliveira

Ribeiro

et al. 2023

Coasts

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As the interface between land and water, coastlines are highly dynamic and intricately tied to the sediment budget. These regions have a high functional diversity and require enlightened management to preserve their value for the future. In this study we assess changes to the São Paulo State (SE Brazil) coastline over the last 36 years. The study innovatively employs big data remote sensing techniques and multivariate statistical models to evaluate and generate erosion/accretion rates (1985–2021) relative to beach orientation and slope. Shoreline change rates have been obtained for sandy beaches at 485 one-kilometer-spaced transects. Our findings capture the complexity and heterogeneity of the analyzed coastline, at a regional and local scale. No association was found between shoreline changes and beach face orientation. Nonetheless, a dependency relationship was found between dissipative beaches with moderate to high accretion. Beaches facing south, with relative stability, were prone to sediment accumulation. Locations with slow accretion, like sandy spits and tombolo-protected beaches, were associated with dissipative beaches with moderate to high accretion. The southeast-oriented beaches are more prone to erosion due to storm waves from the south. Results provide a broad, fast, and relatively low-cost methodology that can be used in any sandy beach context, bringing essential information for coastal management and decision-making related to the use and occupation of the coastal zones.

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GIS-Based Erosion Potential Method (EPM) for Soil Degradation Evaluation: A Case Study the Northeast of Morocco

El Brahimi,

Benzougagh,

Mastere

et al. 2024

Earth and Environmental Sciences Library

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Hazard Assessment and Modeling of Erosion and Sea Level Rise under Global Climate Change Conditions for Coastal City Management

Cited by 6 publications

References 75 publications

Anthropic Action on Historical Shoreline Changes and Future Estimates Using GIS: Guadarmar Del Segura (Spain)

Anthropic Action on Historical Shoreline Changes and Future Estimates Using GIS: Guadarmar Del Segura (Spain)

Coastal Dynamics Analysis Based on Orbital Remote Sensing Big Data and Multivariate Statistical Models

GIS-Based Erosion Potential Method (EPM) for Soil Degradation Evaluation: A Case Study the Northeast of Morocco

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