Multicriteria GIS-based estimation of coastal erosion risk: Implementation to Aveiro sandy coast, Portugal

Narra, Pedro; Coelho, Carlos; Sancho, Francisco

doi:10.1016/j.ocecoaman.2019.104845

Cited by 27 publications

(29 citation statements)

References 23 publications

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“…The hazard subindex is, in turn, composed of variables related to both forcing actions and morphological characteristics, while the vulnerability sub-index deals with socio-economic, ecological and cultural aspects [18,42]. Furthermore, more complex models have been recently developed and account for several separate modules and equations, e.g., the index-based method called CERA2.0, which follows a Source-Pathway-Receptor-Consequence approach and links all components of the system to well identify the risk propagation path [43].…”

Section: Susceptibility/vulnerability Characterizationmentioning

confidence: 99%

Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review

Anfuso

Postacchini

Luccio

et al. 2021

JMSE

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Coastal area constitutes a vulnerable environment and requires special attention to preserve ecosystems and human activities therein. To this aim, many studies have been devoted both in past and recent years to analyzing the main factors affecting coastal vulnerability and susceptibility. Among the most used approaches, the Coastal Vulnerability Index (CVI) accounts for all relevant variables that characterize the coastal environment dealing with: (i) forcing actions (waves, tidal range, sea-level rise, etc.), (ii) morphological characteristics (geomorphology, foreshore slope, dune features, etc.), (iii) socio-economic, ecological and cultural aspects (tourism activities, natural habitats, etc.). Each variable is evaluated at each portion of the investigated coast, and associated with a vulnerability level which usually ranges from 1 (very low vulnerability), to 5 (very high vulnerability). Following a susceptibility/vulnerability analysis of a coastal stretch, specific strategies must be chosen and implemented to favor coastal resilience and adaptation, spanning from hard solutions (e.g., groins, breakwaters, etc.) to soft solutions (e.g., beach and dune nourishment projects), to the relocation option and the establishment of accommodation strategies (e.g., emergency preparedness).

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Section: Susceptibility/vulnerability Characterizationmentioning

confidence: 99%

Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review

Anfuso

Postacchini

Luccio

et al. 2021

JMSE

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“…Coastline formation is the result of many factors (both anthropogenic and natural), which include, for example, sea erosion, water level rise [9], sediment transport [10], earthquakes [11], sea currents, tides, waving, flooding of coastal areas [12], rise in ocean temperature and acidity levels [13], sea water intrusion [14], biological activity and river regulation. According to research [15,16], sea erosion has the greatest influence on shoreline shape. As a result, 24-70% of all sandy beaches on Earth are moving back into the land [17,18].…”

Section: Introductionmentioning

confidence: 99%

Study on the Coastline Evolution in Sopot (2008–2018) Based on Landsat Satellite Imagery

Specht

Lewicka

et al. 2020

JMSE

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The coastline is the boundary between the water surface in a reservoir or watercourse and the land, which is characterised by high instability and functional diversity. For these reasons, research on coastal monitoring has been conducted for several decades. Currently, satellite images performed with synthetic aperture radars (SARs) are used to determine its course and variability together with high-resolution multispectral imagery from satellites such as IKONOS, QuickBird, and WorldView, or moderate-resolution multispectral images from Landsat satellites. This paper analysed the coastline variability in Sopot (2008–2018) based on Landsat satellite imagery. Furthermore, based on multispectral images obtained, it was determined how the beach surface in Sopot changed. Research has shown that the coastline keeps moving away from the land every year. This was particularly noticeable between 2008 and 2018 when the coastline moved on average 19.1 m towards the Baltic Sea. Moreover, it was observed that the area of the sandy beach in Sopot increased by 14 170.6 m2, which translates into an increase of 24.7% compared to 2008. The probable cause of the continuous coastline shift towards the sea and the increase of the beach surface is the oceanographic phenomenon called tombolo, which occurred in this area as a result of the construction of a yacht marina near the coast.

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“…Coastal degradation endangers millions living near-shore and puts coastal infrastructure at risk. Impacts of coastal erosion are often sudden, making it a major coastal hazard [1,2]. The situation is more appalling in low-lying deltaic regions in developing nations (such as Pakistan, Philippines, and Bangladesh), which are less prepared to cope with the risks.…”

Section: Introductionmentioning

confidence: 99%

Three Decades of Coastal Changes in Sindh, Pakistan (1989–2018): A Geospatial Assessment

et al. 2019

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Coastal erosion endangers millions living near-shore and puts coastal infrastructure at risk, particularly in low-lying deltaic coasts of developing nations. This study focuses on morphological changes along the~320-km-long Sindh coastline of Pakistan over past three decades. In this study, the Landsat images from 1989 to 2018 at an interval of 10 years are used to analyze the state of coastline erosion. For this purpose, well-known statistical approaches such as end point rate (EPR), least median of squares (LMS), and linear regression rate (LRR) are used to calculate the rates of coastline change. We analyze the erosion trend along with the underlying controlling variables of coastal change. Results show that most areas along the coastline have experienced noteworthy erosion during the study period. It is found that Karachi coastline experienced 2.43 ± 0.45 m/yr of erosion and 8.34 ± 0.45 m/yr of accretion, while erosion on the western and eastern sides of Indus River reached 12.5 ± 0.55 and 19.96 ± 0.65 m/yr on average, respectively. Coastal erosion is widespread along the entire coastline. However, the rate of erosion varies across the study area with a general trend of erosion increasing from west to east in the Indus Delta region (IDR), and the highest average erosion rate is 27.46 m/yr. The interdecadal change during 1989-periods depicted an increasing linear trend (R 2 = 0.78) from Karachi to Indus River (IR) East zone. The spatial trend from west to east is positively correlated with mean sea level rise, which has increased from 1.1 to 1.9 mm/year, and negatively correlated with topographic slope, which is found to be decreasing eastward along the coastline. The findings necessitate appropriate actions and have important implications to better manage coastal areas in Pakistan in the wake of global climate change.

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Multicriteria GIS-based estimation of coastal erosion risk: Implementation to Aveiro sandy coast, Portugal

Cited by 27 publications

References 23 publications

Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review

Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review

Study on the Coastline Evolution in Sopot (2008–2018) Based on Landsat Satellite Imagery

Three Decades of Coastal Changes in Sindh, Pakistan (1989–2018): A Geospatial Assessment

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