Quantifying the geomorphologic and urbanization influence on coastal retreat under sea level rise

Forgiarini, Ana Paula Piazza; Figueiredo, Salette Amaral de; Calliari, Lauro Júlio; Goulart, Elaine Siqueira; Marques, Wiliam Correa; Trombetta, Thaísa Beloti; Oleinik, Phelype Haron; Guimarães, Ricardo Cardoso; Arigony-Neto, Jorge; Salame, Charles Cabral

doi:10.1016/j.ecss.2019.106437

Cited by 12 publications

(8 citation statements)

References 29 publications

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“…The results given by the BRGM exceeded the retreat predicted in Hermenegildo in comparison to those obtained with the Random Shoreface Translation Model (RanSTM) [73][74][75][76]. [73] obtained a mean retreat distance of -521 m for 2100 using sea-level projections provided by the IPCC 2007-AR4.…”

Section: Discussionmentioning

confidence: 93%

“…[73] obtained a mean retreat distance of -521 m for 2100 using sea-level projections provided by the IPCC 2007-AR4. [77] found a mean retreat of -567 m using the projections of IPCC 2014-AR5 while [75] with the same sea-level projections released a mean retreat distance of -716 m due to take into account the effect of coastal hard protection structures. BRGM using regional projection of IPCC SROCC points to the 2100 horizon values of -1.18 Km (RCP 4.5) and -1.73 Km (RCP 8.5).…”

Section: Discussionmentioning

confidence: 99%

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Free and Open-Source Software for Geographic Information System on Coastal Management: A Study Case of Sea-Level Rise in Southern Brazil

Lima¹,

Fernández-Fernández²,

Weiss³

et al. 2021

Preprint

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This work assesses sea-level rise using three different models created on Free and Open-Source Software for Geographic Information System (FOSS4GIS). Based on regional projections of Special Report on Climate Change and Oceans and Cryosphere (SROCC) of the Intergovernmental Panel on Climate Change (IPCC), the models were applied to a case of study on Rio Grande do Sul coast – Brazil under different sea-level rise scenarios by the end of this century. The End Point Rate for QGIS (EPR4Q), calculates a shoreline projection using End Point Rate method. The Uncertainty Bathtub Model (uBTM), analyses the sea-level rise impact by the uncertainty of sea-level projec-tions and vertical error of the Digital Elevation/Terrain Model (DEM/DTM). The Bruun Rule for Google Earth Engine Model (BRGM) predicts the shoreline position with sea-level rise, using topographic and bathymetric data from Unmanned Aerial Vehicles (UAV) and Coastal Modelling System (SMC – Brazil), respectively. The results indicated a maximum shoreline retreat for 2100 of -502 m and -1727 m using EPR4Q and BRGM, correspondingly. The uBTM using the land-use of Mapbiomas showed a maximum of 44.57 km2 of urban area impacted by the sea-level flood. This research highlights the possibility of performing coastal management analysis in GIS environ-ment using non-commercial software.

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Section: Discussionmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Free and Open-Source Software for Geographic Information System on Coastal Management: A Study Case of Sea-Level Rise in Southern Brazil

Lima¹,

Fernández-Fernández²,

Weiss³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…It is necessary to define an integrated and participatory governance of such interactions, applying the knowledge-based approach of the relationships between the local and global scales [153]. This is very important because the dynamics of the CA is characterized by high uncertainty (however, dominated by retreat processes) due to climate change, sea level rise, subsidence phenomena, influences of geomorphologic processes, and urbanization [154].…”

Section: Lessons Learnt From the Case Studies For The Planning And Gomentioning

confidence: 99%

Degradation of Coastlines under the Pressure of Urbanization and Tourism: Evidence on the Change of Land Systems from Europe, Asia and Africa

Petrişor

Hamma

Nguyen

et al. 2020

Land

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The importance of studying coastal areas is justified by their resources, ecosystem services, and key role played in socio-economic development. Coastal landscapes are subject to increasing demands and pressures, requiring in-depth analyses for finding appropriate tools or policies for a sustainable landscape management. The present study addresses this issue globally, based on case studies from three continents: Romania (Europe), Algeria (Africa), and Vietnam (Asia), focusing on the anthropogenic pressure resulting from land use/land cover change or urban sprawl, taking into account the role of socioeconomic and political factors. The methodology consisted of producing maps and computing and analyzing indicators, correlating geospatial and socio-economic data in a synergistic manner to explore the changes of landscapes, and identify the specific driving forces. The findings show that the pressure of urbanization and tourism on coastal areas increased, while the drivers and impacts vary. Urbanization is due to derogatory planning in Romania and Algeria, and different national and local goals in Vietnam. The two drivers determine local exemptions from the national regulations, made for profit. In addition to the need for developing and enforcing policies for stopping the degradation and restoring the ecosystems, the findings underline the importance of international cooperation in policy development.

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“…Coastline mapping is crucial for detection and monitoring of various coastal spatiotemporal changes [24][25][26], the study of specific coast-related processes and pressures such as coastal erosion [27,28], urbanization [29,30], management and protection of endangered coastal areas [31][32][33], maritime affairs and safe navigation, sustainable coastal development and planning, and monitoring and protection of endangered coastal ecosystems [15,[34][35][36]. Therefore, accurate coastline mapping is crucial not only from a scientific perspective but for its importance for society, as it can provide valuable information that can be essential in mitigating the above-mentioned problems and pressures [37,38].…”

Section: Introductionmentioning

confidence: 99%

Automated Coastline Extraction Using the Very High Resolution WorldView (WV) Satellite Imagery and Developed Coastline Extraction Tool (CET)

et al. 2021

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The accurate extraction of a coastline is necessary for various studies of coastal processes, as well as for the management and protection of coastal areas. Very high-resolution satellite imagery has great potential for coastline extraction; however, noises in spectral data can cause significant errors. Here, we present a newly developed Coastal Extraction Tool (CET) that overcomes such errors and allows accurate and time-efficient automated coastline extraction based on a combination of WorldView-2 (WV-2) multispectral imagery and stereo-pair-derived digital surface model (DSM). Coastline extraction is performed and tested on the Iž-Rava island group, situated within the Northern Dalmatian archipelago (Croatia). Extracted coastlines were compared to (a) coastlines extracted from state topographic map (1:25,000), and (b) coastline extracted by another available tool. The accuracy of the extracted coastline was validated with centimeter accuracy reference data acquired using a UAV system (Matrice 600 Pro + MicaSense RedEdge-MX). Within the study area, two small islets were detected that have not been mapped during the earlier coastline mapping efforts. CET proved to be a highly accurate coastline mapping technique that successfully overcomes spectral-induced errors. In future research, we are planning to integrate data obtained by UAVs infrared thermography (IRT) and in situ sensors, measuring sea and land surface temperatures (SST and LST), into the CET, given that this has shown promising results. Considering its accuracy and ease of use, we suggest that CET can be applied for automated coastline extraction in other large and indented coastal areas. Additionally, we suggest that CET could be applied in longitudinal geomorphological coastal erosion studies for the automated detection of spatio-temporal coastline displacement.

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Quantifying the geomorphologic and urbanization influence on coastal retreat under sea level rise

Cited by 12 publications

References 29 publications

Free and Open-Source Software for Geographic Information System on Coastal Management: A Study Case of Sea-Level Rise in Southern Brazil

Free and Open-Source Software for Geographic Information System on Coastal Management: A Study Case of Sea-Level Rise in Southern Brazil

Degradation of Coastlines under the Pressure of Urbanization and Tourism: Evidence on the Change of Land Systems from Europe, Asia and Africa

Automated Coastline Extraction Using the Very High Resolution WorldView (WV) Satellite Imagery and Developed Coastline Extraction Tool (CET)

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