Contributions to Coastal Flooding Events in Southeast of Vietnam and their link with Global Mean Sea Level Rise

Almeida, Luís Pedro; Almar, Rafaël; Meyssignac, Benoît; Viet, Nguyen Trung

doi:10.3390/geosciences8120437

Cited by 12 publications

(4 citation statements)

References 35 publications

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“…Vietnam is one of the countries that will be severely impacted by climate change through the modification of precipitation patterns and sea level rise [1,2]. The abrupt changes occurring in the Mekong Delta area [3][4][5], the recurrent flooding or pollution events observed in different provinces [6,7], the potential link between water quality and aquaculture activities [8], are, among others, phenomena stressing the urgent need of a better regional monitoring of coastal and connected inland waters. In that context, satellite remote sensing represents a valuable technique for a better assessment of the status and evolution of Vietnamese coastal and inland waters.…”

Section: Introductionmentioning

confidence: 99%

Atmospheric correction algorithm over coastal and inland waters based on the red and NIR bands: application to Landsat-8/OLI and VNREDSat-1/NAOMI observations

Ngoc¹,

Loisel²,

Duforêt-Gaurier³

et al. 2019

Opt. Express

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Water pixel extraction and correction of the atmospheric signal represent prerequisite steps prior to applying algorithms dedicated to the assessment of water quality of natural surface water bodies. The recent multiplication of medium spatial resolution sensors (10-60 m) provides the required constellation to monitoring bio-optical and biogeochemical parameters of surface waters at the relevant spatial-temporal scales. Here we present a new approach to identify water pixels and to extract the atmospheric contribution to the top of atmosphere signal measured by the NAOMI sensor on board the first Vietnamese satellite, VNREDSat-1. After verifying the TOA calibration of NAOMI through a vicarious calibration exercise, we adapt a recent water pixel extraction algorithm (WiPE) to NAOMI, and develop a new atmospheric correction algorithm (referred to as red-NIR) based on the use of the red and NIR bands (the only bands available for that purpose on NAOMI) and spectral relationships. The evaluation of red-NIR with a match-up data set gathering remote sensing reflectance, R rs , measurements performed at the AERONET-OC stations in moderately turbid waters indicates excellent performance in the blue and green part of the spectrum (similar to the performances reached by the SeaDAS NIR-SWIR algorithms) and lower accuracy in the red. Intercomparison of simultaneous images collected by NAOMI and OLI over a more turbid water body shows an excellent agreement between the NAOMI-R rs estimated by the present processing, and the OLI-R rs estimated from the ACOLITE algorithm. This approach will allow sensors that do not have SWIR bands, such as SPOT-6 and -7, to be processed, making their data exploitation available for long-term temporal analyses.

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Section: Introductionmentioning

confidence: 99%

Atmospheric correction algorithm over coastal and inland waters based on the red and NIR bands: application to Landsat-8/OLI and VNREDSat-1/NAOMI observations

Ngoc¹,

Loisel²,

Duforêt-Gaurier³

et al. 2019

Opt. Express

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“…Accordingly, a NTR dataset computed from altimetry data (henceforth NTR SAT ) was required. We used the approach followed by previous studies to compute NTR data from altimetry measurements [63,[67][68][69][70], which is schematized in Figure 2. The calculation of the NTR SAT dataset was done by undoing the DAC, in other words, by re-adding the DAC product to the SLA.…”

Section: Non-tidal Residual Coastal Extreme Samplementioning

confidence: 99%

Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data

Lobeto,

Menendez

2024

Remote Sensing

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This study assesses the variability of coastal extreme sea levels globally by utilizing nearly three decades of along-track, multi-mission satellite altimetry data. An altimetry-based global coastal database of the non-tidal residual sea level component has been produced. The climate variability of extremes is modeled through a parametric, non-stationary statistical model. This model captures intra-annual, inter-annual and long-term variations in non-tidal residual return levels. Comparisons with tide gauge data demonstrate the ability of altimetry data to capture the variability of coastal extreme sea levels. Our findings reveal a greater complexity in the monthly variability patterns of non-tidal residual extremes in tropical latitudes, often exhibiting multiple storm periods, contrasting with coasts in extratropical latitudes, which are mostly controlled by a winter–summer pattern. This study also highlights the significant influence of established climate circulation patterns on sea level extremes. The positive phase of the Arctic Oscillation pattern leads to increases of over 25% in non-tidal residual return levels in Northwestern Europe with respect to a neutral phase. Furthermore, return levels in the western coast of Central America could be 50% higher during El Niño compared to La Niña. Our results show a robust increasing trend in non-tidal residual return levels along most global coastlines. A comparative analysis shows that variations during the 1995–2020 period were primarily driven by intra-annual variations.

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“…In the last 140 years, scientific research has established that average sea levels have significantly increased [1][2][3], and this phenomenon is accelerating. This is a critical issue as even small increases can have devastating effects on coastal habitats [4][5][6][7]. Rising sea levels have been identified as a major cause of flooding events across the world [8,9].…”

Section: Introductionmentioning

confidence: 99%

Protecting Coastlines from Flooding in a Changing Climate: A Preliminary Experimental Study to Investigate a Sustainable Approach

Rubinato

Heyworth

Hart

2020

Water

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Rising sea levels are causing more frequent flooding events in coastal areas and generate many issues for coastal communities such as loss of property or damages to infrastructures. To address this issue, this paper reviews measures currently in place and identifies possible control measures that can be implemented to aid preservation of coastlines in the future. Breakwaters present a unique opportunity to proactively address the impact of coastal flooding. However, there is currently a lack of research into combined hard and soft engineering techniques. To address the global need for developing sustainable solutions, three specific breakwater configurations were designed and experimentally compared in the hydraulic laboratory at Coventry University to assess their performance in reducing overtopping and the impact of waves, quantifying the effectiveness of each. The investigation confirmed that stepped configurations work effectively in high amplitudes waves, especially with the presence of a slope angle to aid wave reflection. These results provide a very valuable preliminary investigation into novel sustainable solutions incorporating both artificial and natural based strategies that could be considered by local and national authorities for the planning of future mitigation strategies to defend coastal areas from flooding and erosion.

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Contributions to Coastal Flooding Events in Southeast of Vietnam and their link with Global Mean Sea Level Rise

Cited by 12 publications

References 35 publications

Atmospheric correction algorithm over coastal and inland waters based on the red and NIR bands: application to Landsat-8/OLI and VNREDSat-1/NAOMI observations

Atmospheric correction algorithm over coastal and inland waters based on the red and NIR bands: application to Landsat-8/OLI and VNREDSat-1/NAOMI observations

Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data

Protecting Coastlines from Flooding in a Changing Climate: A Preliminary Experimental Study to Investigate a Sustainable Approach

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