Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2449-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-2449-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jul 2023
Research article |
| 12 Jul 2023
| 12 Jul 2023
Assessing Typhoon Soulik-induced morphodynamics over the Mokpo coastal region in South Korea based on a geospatial approach
Sang-Guk Yum
Department of Civil Engineering, Gangneung-Wonju National University, Gangneung, Gangwon-do 25457, South Korea
Moon-Soo Song
Department of Safety & Disaster Prevention Engineering, Kyungwoon University, Gumi, Gyeongsangbuk-do 39160, South Korea
Manik Das Adhikari
CORRESPONDING AUTHOR
Department of Civil Engineering, Gangneung-Wonju National University, Gangneung, Gangwon-do 25457, South Korea
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Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-90, https://doi.org/10.5194/nhess-2024-90, 2024
Revised manuscript under review for NHESS
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To reduce the consequences of landslides due to rainfall, such as of life and economic losses, and disruption of order of our daily living; this study describes the process of building a machine learning model which can help to estimate the volume of landslides material that can occur in a particular region taking into account of antecedent rainfall, soil characteristics, type of vegetation etc. The findings can be useful for land use, infrastructure design and rainfall disaster management.
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The prediction of the size of rainfall-induced debris in South Korea was analyzed. The model suitability was carried out and Random forest was the most suitable for the Size of debris prediction. The most contributing factor in the model was slope length and the most vulnerable region to higher frequency and severe debris was Gangwon province. The findings may be used for rainfall induced-debris prevention policies and post-disaster rehabilitation planning.
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This study advances previous models through machine learning and multi-sensor-verified results. Using spatial and meteorological data from the study area (Suncheon–Wanju Highway in Gurye-gun), the amount and location of black ice were modelled based on system dynamics to predict black ice and then simulated with the geographic information system (m2). Based on the model results, multiple sensors were buried at four selected points in the study area, and the model was compared with sensor data.
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Insurance data has been utilized with deep learning techniques to predict natural disaster damage losses in South Korea.
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In this study, emerging engineering techniques such as machine learning and deep learning technique was applied to predict heavy snowfall prediction in the Korean Peninsula. More specifically, it was observed that the predictive model using the RFR algorithm had the best performance based on a comparison between the observed and predicted data. In addition, it was observed that the performance of the ensemble models (RFR and XGB) was better than that of the single regression models.
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Developed statistical models to predict the non-exceedance probability of extreme storm surge-induced typhoons. Various probability distribution models were applied to find the best fitting to empirical storm-surge data.
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To reduce the consequences of landslides due to rainfall, such as of life and economic losses, and disruption of order of our daily living; this study describes the process of building a machine learning model which can help to estimate the volume of landslides material that can occur in a particular region taking into account of antecedent rainfall, soil characteristics, type of vegetation etc. The findings can be useful for land use, infrastructure design and rainfall disaster management.
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Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-73, https://doi.org/10.5194/nhess-2023-73, 2023
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The prediction of the size of rainfall-induced debris in South Korea was analyzed. The model suitability was carried out and Random forest was the most suitable for the Size of debris prediction. The most contributing factor in the model was slope length and the most vulnerable region to higher frequency and severe debris was Gangwon province. The findings may be used for rainfall induced-debris prevention policies and post-disaster rehabilitation planning.
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Nat. Hazards Earth Syst. Sci., 22, 3435–3459, https://doi.org/10.5194/nhess-22-3435-2022, https://doi.org/10.5194/nhess-22-3435-2022, 2022
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This study advances previous models through machine learning and multi-sensor-verified results. Using spatial and meteorological data from the study area (Suncheon–Wanju Highway in Gurye-gun), the amount and location of black ice were modelled based on system dynamics to predict black ice and then simulated with the geographic information system (m2). Based on the model results, multiple sensors were buried at four selected points in the study area, and the model was compared with sensor data.
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Insurance data has been utilized with deep learning techniques to predict natural disaster damage losses in South Korea.
Moon-Soo Song, Hong-Sik Yun, Jae-Joon Lee, and Sang-Guk Yum
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-118, https://doi.org/10.5194/nhess-2022-118, 2022
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In this study, emerging engineering techniques such as machine learning and deep learning technique was applied to predict heavy snowfall prediction in the Korean Peninsula. More specifically, it was observed that the predictive model using the RFR algorithm had the best performance based on a comparison between the observed and predicted data. In addition, it was observed that the performance of the ensemble models (RFR and XGB) was better than that of the single regression models.
Sang-Guk Yum, Hsi-Hsien Wei, and Sung-Hwan Jang
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Developed statistical models to predict the non-exceedance probability of extreme storm surge-induced typhoons. Various probability distribution models were applied to find the best fitting to empirical storm-surge data.
S. K. Nath, M. D. Adhikari, N. Devaraj, and S. K. Maiti
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We microzoned seismic hazard of the City of Kolkata, India by integrating seismological, geological and geotechnical themes in GIS which in turn is integrated with the vulnerability components in a logic-tree framework for the estimation of both the socio-economic and structural risk of the City. The cumulative damage probabilities in terms of ‘none’, ‘slight’, ‘moderate’, ‘extensive’ and ‘complete’ have been assessed for the predominantly four model building types RM2L, RM2M, URML and URMM.
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Changes in sea levels alone do not determine the evolution of coastal hazards. Coastal hazard changes should be assessed using additional factors describing geomorphological configurations, metocean event types (storms, cyclones, long swells, and tsunamis), and the marine environment (e.g., coral reef state and sea ice extent). The assessment completed here, at regional scale including the coasts of mainland and overseas France, highlights significant differences in hazard changes.
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Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-100, https://doi.org/10.5194/nhess-2024-100, 2024
Revised manuscript accepted for NHESS
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Tropical cyclones drive extreme sea levels, causing large storm surges due to low atmospheric pressure and strong winds. This study explores factors affecting the numerical modelling of storm surges induced by hurricanes in the tropical Atlantic. Two ocean models are compared and used for sensitivity experiments. ERA5 atmospheric reanalysis forcing generally improves storm surge estimates compared to parametric wind models. Including ocean circulations reduces errors in storm surge estimates.
Jani Särkkä, Jani Räihä, Mika Rantanen, and Matti Kämäräinen
Nat. Hazards Earth Syst. Sci., 24, 1835–1842, https://doi.org/10.5194/nhess-24-1835-2024, https://doi.org/10.5194/nhess-24-1835-2024, 2024
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We study the relationship between tracks of low-pressure systems and related sea level extremes. We perform the studies by introducing a method to simulate sea levels using synthetic low-pressure systems. We test the method using sites located along the Baltic Sea coast. We find high extremes, where the sea level extreme reaches up to 3.5 m. In addition, we add the maximal value of the mean level of the Baltic Sea (1 m), leading to a sea level of 4.5 m.
Alexey Androsov, Sven Harig, Natalia Zamora, Kim Knauer, and Natalja Rakowsky
Nat. Hazards Earth Syst. Sci., 24, 1635–1656, https://doi.org/10.5194/nhess-24-1635-2024, https://doi.org/10.5194/nhess-24-1635-2024, 2024
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Two numerical codes are used in a comparative analysis of the calculation of the tsunami wave due to an earthquake along the Peruvian coast. The comparison primarily evaluates the flow velocity fields in flooded areas. The relative importance of the various parts of the equations is determined, focusing on the nonlinear terms. The influence of the nonlinearity on the degree and volume of flooding, flow velocity, and small-scale fluctuations is determined.
Alisée A. Chaigneau, Angélique Melet, Aurore Voldoire, Guillaume Reffray, Stéphane Law-Chune, and Lotfi Aouf
EGUsphere, https://doi.org/10.5194/egusphere-2024-1061, https://doi.org/10.5194/egusphere-2024-1061, 2024
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Climate change induced sea level rise increases the frequency of extreme sea levels. This paper presents regional projections of extreme sea levels for western Europe produced with high-resolution models (~6 km). Unlike commonly used coarse-scale global climate models, this approach allows to simulate key processes driving coastal sea level variations such as long-term sea level rise, tides, storm surges induced by low atmospheric surface pressure and winds, waves, and their interactions.
Eric Mortensen, Timothy Tiggeloven, Toon Haer, Bas van Bemmel, Dewi Le Bars, Sanne Muis, Dirk Eilander, Frederiek Sperna Weiland, Arno Bouwman, Willem Ligtvoet, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 24, 1381–1400, https://doi.org/10.5194/nhess-24-1381-2024, https://doi.org/10.5194/nhess-24-1381-2024, 2024
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Current levels of coastal flood risk are projected to increase in coming decades due to various reasons, e.g. sea-level rise, land subsidence, and coastal urbanization: action is needed to minimize this future risk. We evaluate dykes and coastal levees, foreshore vegetation, zoning restrictions, and dry-proofing on a global scale to estimate what levels of risk reductions are possible. We demonstrate that there are several potential adaptation pathways forward for certain areas of the world.
Charlotte Lyddon, Nguyen Chien, Grigorios Vasilopoulos, Michael Ridgill, Sogol Moradian, Agnieszka Olbert, Thomas Coulthard, Andrew Barkwith, and Peter Robins
Nat. Hazards Earth Syst. Sci., 24, 973–997, https://doi.org/10.5194/nhess-24-973-2024, https://doi.org/10.5194/nhess-24-973-2024, 2024
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Recent storms in the UK, like Storm Ciara in 2020, show how vulnerable estuaries are to the combined effect of sea level and river discharge. We show the combinations of sea levels and river discharges that cause flooding in the Conwy estuary, N Wales. The results showed flooding was amplified under moderate conditions in the middle estuary and elsewhere sea state or river flow dominated the hazard. Combined sea and river thresholds can improve prediction and early warning of compound flooding.
Christopher Stokes, Timothy Poate, Gerd Masselink, Tim Scott, and Steve Instance
EGUsphere, https://doi.org/10.5194/egusphere-2024-482, https://doi.org/10.5194/egusphere-2024-482, 2024
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Currents at beaches with an estuary mouth have rarely been studied before. Using field measurements and computer modelling, we show that surfzone currents can be driven by both estuary flow and rip currents. We show that an estuary mouth beach can have flows reaching 1.5 m/s and have a high likelihood of taking bathers out of the surfzone. The river channels on the beach direct the flows and even though they change position over time, it was possible to predict when peak hazards would occur.
Shuaib Rasheed, Simon C. Warder, Yves Plancherel, and Matthew D. Piggott
Nat. Hazards Earth Syst. Sci., 24, 737–755, https://doi.org/10.5194/nhess-24-737-2024, https://doi.org/10.5194/nhess-24-737-2024, 2024
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Here we use a high-resolution bathymetry dataset of the Maldives archipelago, as well as corresponding high numerical model resolution, to carry out a scenario-based tsunami hazard assessment for the entire Maldives archipelago to investigate the potential impact of plausible far-field tsunamis across the Indian Ocean at the island scale. The results indicate that several factors contribute to mitigating and amplifying tsunami waves at the island scale.
Niels J. Korsgaard, Kristian Svennevig, Anne S. Søndergaard, Gregor Luetzenburg, Mimmi Oksman, and Nicolaj K. Larsen
Nat. Hazards Earth Syst. Sci., 24, 757–772, https://doi.org/10.5194/nhess-24-757-2024, https://doi.org/10.5194/nhess-24-757-2024, 2024
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A tsunami wave will leave evidence of erosion and deposition in coastal lakes, making it possible to determine the runup height and when it occurred. Here, we use four lakes now located at elevations of 19–91 m a.s.l. close to the settlement of Saqqaq, West Greenland, to show that at least two giant tsunamis occurred 7300–7600 years ago with runup heights larger than 40 m. We infer that any tsunamis from at least nine giga-scale landslides must have happened 8500–10 000 years ago.
Elke Magda Inge Meyer and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 24, 481–499, https://doi.org/10.5194/nhess-24-481-2024, https://doi.org/10.5194/nhess-24-481-2024, 2024
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Storm tides for eight extreme historical storms in the German Bight are modelled using sets of slightly varying atmospheric conditions from the century reanalyses. Comparisons with the water level observations from the gauges Norderney, Cuxhaven and Husum show that single members of the reanalyses are suitable for the reconstruction of extreme storms. Storms with more northerly tracks show less variability within a set and have more potential for accurate reconstruction of extreme water levels.
Clare Lewis, Tim Smyth, Jess Neumann, and Hannah Cloke
Nat. Hazards Earth Syst. Sci., 24, 121–131, https://doi.org/10.5194/nhess-24-121-2024, https://doi.org/10.5194/nhess-24-121-2024, 2024
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Meteotsunami are the result of atmospheric disturbances and can impact coastlines causing injury, loss of life, and damage to assets. This paper introduces a novel intensity index to allow for the quantification of these events at the shoreline. This has the potential to assist in the field of natural hazard assessment. It was trialled in the UK but designed for global applicability and to become a widely accepted standard in coastal planning, meteotsunami forecasting, and early warning systems.
Chu-En Hsu, Katherine A. Serafin, Xiao Yu, Christie A. Hegermiller, John C. Warner, and Maitane Olabarrieta
Nat. Hazards Earth Syst. Sci., 23, 3895–3912, https://doi.org/10.5194/nhess-23-3895-2023, https://doi.org/10.5194/nhess-23-3895-2023, 2023
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Total water levels (TWLs) induced by tropical cyclones (TCs) are among the leading hazards faced by coastal communities. Using numerical models, we examined how TWL components (surge and wave runup) along the South Atlantic Bight varied during hurricanes Matthew (2016), Dorian (2019), and Isaias (2020). Peak surge and peak wave runup were dominated by wind speeds and relative positions to TCs. The exceedance time of TWLs was controlled by normalized distances to TC and TC translation speeds.
Enrico Duo, Juan Montes, Marine Le Gal, Tomás Fernández-Montblanc, Paolo Ciavola, and Clara Armaroli
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-197, https://doi.org/10.5194/nhess-2023-197, 2023
Revised manuscript accepted for NHESS
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The present work, developed within the EU H2020 European Coastal Flood Awareness System ECFAS project, presents an approach used to estimate coastal flood direct impacts on population, buildings, and roads along the European coasts. The findings demonstrate that the ECFAS Impact approach offers valuable estimates for affected populations, reliable damage assessments for buildings and roads, and improved accuracy compared to traditional grid-based approaches.
Maude Biguenet, Eric Chaumillon, Pierre Sabatier, Antoine Bastien, Emeline Geba, Fabien Arnaud, Thibault Coulombier, and Nathalie Feuillet
Nat. Hazards Earth Syst. Sci., 23, 3761–3788, https://doi.org/10.5194/nhess-23-3761-2023, https://doi.org/10.5194/nhess-23-3761-2023, 2023
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This work documents the impact of Hurricane Irma (2017) on the Codrington barrier and lagoon on Barbuda Island. Irma caused two wide breaches in the sandy barrier, which remained unopened for 250 years. The thick and extensive sand sheet at the top of the lagoon fill was attributed to Irma. This unique deposit in a 3700-year record confirms Irma's exceptional character. This case study illustrates the consequences of high-intensity hurricanes in low-lying islands in a global warming context.
Leigh Richard MacPherson, Arne Arns, Svenja Fischer, Fernando Javier Méndez, and Jürgen Jensen
Nat. Hazards Earth Syst. Sci., 23, 3685–3701, https://doi.org/10.5194/nhess-23-3685-2023, https://doi.org/10.5194/nhess-23-3685-2023, 2023
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Efficient adaptation planning for coastal flooding caused by extreme sea levels requires accurate assessments of the underlying hazard. Tide-gauge data alone are often insufficient for providing the desired accuracy but may be supplemented with historical information. We estimate extreme sea levels along the German Baltic coast and show that relying solely on tide-gauge data leads to underestimations. Incorporating historical information leads to improved estimates with reduced uncertainties.
Anne Margaret H. Smiley, Suzanne P. Thompson, Nathan S. Hall, and Michael F. Piehler
Nat. Hazards Earth Syst. Sci., 23, 3635–3649, https://doi.org/10.5194/nhess-23-3635-2023, https://doi.org/10.5194/nhess-23-3635-2023, 2023
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Floodwaters can deliver reactive nitrogen to sensitive aquatic systems and diminish water quality. We assessed the nitrogen removal capabilities of flooded habitats and urban landscapes. Differences in processing rates across land cover treatments and between nutrient treatments suggest that abundance and spatial distributions of habitats, as well as storm characteristics, influence landscape-scale nitrogen removal. Results have important implications for coastal development and climate change.
Marine Le Gal, Tomás Fernández-Montblanc, Enrico Duo, Juan Montes Perez, Paulo Cabrita, Paola Souto Ceccon, Véra Gastal, Paolo Ciavola, and Clara Armaroli
Nat. Hazards Earth Syst. Sci., 23, 3585–3602, https://doi.org/10.5194/nhess-23-3585-2023, https://doi.org/10.5194/nhess-23-3585-2023, 2023
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Assessing coastal hazards is crucial to mitigate flooding disasters. In this regard, coastal flood databases are valuable tools. This paper describes a new coastal flood map catalogue covering the entire European coastline, as well as the methodology to build it and its accuracy. The catalogue focuses on frequent extreme events and relies on synthetic scenarios estimated from local storm conditions. Flood-prone areas and regions sensitive to storm duration and water level peak were identified.
Neng-Ti Yu, Cheng-Hao Lu, I-Chin Yen, Jia-Hong Chen, Jiun-Yee Yen, and Shyh-Jeng Chyi
Nat. Hazards Earth Syst. Sci., 23, 3525–3542, https://doi.org/10.5194/nhess-23-3525-2023, https://doi.org/10.5194/nhess-23-3525-2023, 2023
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A paleotsunami deposit of cliff-top basalt debris was identified on the Penghu Islands in the southern Taiwan Strait and related to the 1661 earthquake in southwest Taiwan. A minimum wave height of 3.2 m is estimated to have rotated the biggest boulder for over 30 m landwards onto the cliff top at 2.5 m a.s.l. The event must have been huge compared to the 1994 M 6.4 earthquake with the ensuing 0.4 m high tsunami in the same area, validating the intimidating tsunami risks in the South China Sea.
Ye Yuan, Huaiwei Yang, Fujiang Yu, Yi Gao, Benxia Li, and Chuang Xing
Nat. Hazards Earth Syst. Sci., 23, 3487–3507, https://doi.org/10.5194/nhess-23-3487-2023, https://doi.org/10.5194/nhess-23-3487-2023, 2023
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Rip currents are narrow jets of offshore-directed flow that originated in the surf zone, which can take swimmers of all ability levels into deeper water unawares. In this study, a 1 m fine-resolution wave-resolving model was configured to study rip current variability and the optimal swimmer escape strategies. Multiple factors contribute to the survival of swimmers. However, for weak-to-moderate rip and longshore currents, swimming onshore consistently seems to be the most successful strategy.
Benedikt Mester, Thomas Vogt, Seth Bryant, Christian Otto, Katja Frieler, and Jacob Schewe
Nat. Hazards Earth Syst. Sci., 23, 3467–3485, https://doi.org/10.5194/nhess-23-3467-2023, https://doi.org/10.5194/nhess-23-3467-2023, 2023
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In 2019, Cyclone Idai displaced more than 478 000 people in Mozambique. In our study, we use coastal flood modeling and satellite imagery to construct a counterfactual cyclone event without the effects of climate change. We show that 12 600–14 900 displacements can be attributed to sea level rise and the intensification of storm wind speeds due to global warming. Our impact attribution study is the first one on human displacement and one of very few for a low-income country.
Bene Aschenneller, Roelof Rietbroek, and Daphne van der Wal
EGUsphere, https://doi.org/10.5194/egusphere-2023-2320, https://doi.org/10.5194/egusphere-2023-2320, 2023
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Shorelines retreat or advanve in response to sea level changes, subsidence or uplift of the ground, and morphological processes (sedimentation and erosion). We show that the geometrical influence of each of these drivers on shoreline movements can be quantified by combining different remote sensing observations, including radar altimetry, LiDAR and optical satellite images. The focus here is to illustrate the uncertainties of these observations by comparing datasets that cover similar processes.
Olivier Cavalié, Frédéric Cappa, and Béatrice Pinel-Puysségur
Nat. Hazards Earth Syst. Sci., 23, 3235–3246, https://doi.org/10.5194/nhess-23-3235-2023, https://doi.org/10.5194/nhess-23-3235-2023, 2023
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Coastal areas are fragile ecosystems that face multiple hazards. In this study, we measured the downward motion of the Nice Côte d'Azur Airport (France) that was built on reclaimed area and found that it has subsided from 16 mm yr-1 in the 1990s to 8 mm yr-1 today. A continuous remote monitoring of the platform will provide key data for a detailed investigation of future subsidence maps, and this contribution will help to evaluate the potential failure of part of the airport platform.
Wagner L. L. Costa, Karin R. Bryan, and Giovanni Coco
Nat. Hazards Earth Syst. Sci., 23, 3125–3146, https://doi.org/10.5194/nhess-23-3125-2023, https://doi.org/10.5194/nhess-23-3125-2023, 2023
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For predicting flooding events at the coast, topo-bathymetric data are essential. However, elevation data can be unavailable. To tackle this issue, recent efforts have centred on the use of satellite-derived topography (SDT) and bathymetry (SDB). This work is aimed at evaluating their accuracy and use for flooding prediction in enclosed estuaries. Results show that the use of SDT and SDB in numerical modelling can produce similar predictions when compared to the surveyed elevation data.
Joshua Kiesel, Marvin Lorenz, Marcel König, Ulf Gräwe, and Athanasios T. Vafeidis
Nat. Hazards Earth Syst. Sci., 23, 2961–2985, https://doi.org/10.5194/nhess-23-2961-2023, https://doi.org/10.5194/nhess-23-2961-2023, 2023
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Among the Baltic Sea littoral states, Germany is anticipated to experience considerable damage as a result of increased coastal flooding due to sea-level rise (SLR). Here we apply a new modelling framework to simulate how flooding along the German Baltic Sea coast may change until 2100 if dikes are not upgraded. We find that the study region is highly exposed to flooding, and we emphasise the importance of current plans to update coastal protection in the future.
Zhang Haixia, Cheng Meng, and Fang Weihua
Nat. Hazards Earth Syst. Sci., 23, 2697–2717, https://doi.org/10.5194/nhess-23-2697-2023, https://doi.org/10.5194/nhess-23-2697-2023, 2023
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Simultaneous storm surge and waves can cause great damage due to cascading effects. Quantitative joint probability analysis is critical to determine their optimal protection design values. The joint probability of the surge and wave for the eastern coasts of Leizhou Peninsula and Hainan are estimated with a Gumbel copula based on 62 years of numerically simulated data, and the optimal design values under various joint return periods are derived using the non-linear programming method.
Clare Lewis, Tim Smyth, David Williams, Jess Neumann, and Hannah Cloke
Nat. Hazards Earth Syst. Sci., 23, 2531–2546, https://doi.org/10.5194/nhess-23-2531-2023, https://doi.org/10.5194/nhess-23-2531-2023, 2023
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Meteotsunami are globally occurring water waves initiated by atmospheric disturbances. Previous research has suggested that in the UK, meteotsunami are a rare phenomenon and tend to occur in the summer months. This article presents a revised and updated catalogue of 98 meteotsunami that occurred between 1750 and 2022. Results also demonstrate a larger percentage of winter events and a geographical pattern highlighting the
hotspotregions that experience these events.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, Joël J.-M. Hirschi, Robert J. Nicholls, and Nadia Bloemendaal
Nat. Hazards Earth Syst. Sci., 23, 2475–2504, https://doi.org/10.5194/nhess-23-2475-2023, https://doi.org/10.5194/nhess-23-2475-2023, 2023
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We used a novel database of simulated tropical cyclone tracks to explore whether typhoon-induced storm surges present a future flood risk to low-lying coastal communities around the South China Sea. We found that future climate change is likely to change tropical cyclone behaviour to an extent that this increases the severity and frequency of storm surges to Vietnam, southern China, and Thailand. Consequently, coastal flood defences need to be reviewed for resilience against this future hazard.
Olle Räty, Marko Laine, Ulpu Leijala, Jani Särkkä, and Milla M. Johansson
Nat. Hazards Earth Syst. Sci., 23, 2403–2418, https://doi.org/10.5194/nhess-23-2403-2023, https://doi.org/10.5194/nhess-23-2403-2023, 2023
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We studied annual maximum sea levels in the Finnish coastal region. Our aim was to better quantify the uncertainty in them compared to previous studies. Using four statistical models, we found out that hierarchical models, which shared information on sea-level extremes across Finnish tide gauges, had lower uncertainty in their results in comparison with tide-gauge-specific fits. These models also suggested that the shape of the distribution for extreme sea levels is similar on the Finnish coast.
Christian Ferrarin, Florian Pantillon, Silvio Davolio, Marco Bajo, Mario Marcello Miglietta, Elenio Avolio, Diego S. Carrió, Ioannis Pytharoulis, Claudio Sanchez, Platon Patlakas, Juan Jesús González-Alemán, and Emmanouil Flaounas
Nat. Hazards Earth Syst. Sci., 23, 2273–2287, https://doi.org/10.5194/nhess-23-2273-2023, https://doi.org/10.5194/nhess-23-2273-2023, 2023
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The combined use of meteorological and ocean models enabled the analysis of extreme sea conditions driven by Medicane Ianos, which hit the western coast of Greece on 18 September 2020, flooding and damaging the coast. The large spread associated with the ensemble highlighted the high model uncertainty in simulating such an extreme weather event. The different simulations have been used for outlining hazard scenarios that represent a fundamental component of the coastal risk assessment.
Charline Dalinghaus, Giovanni Coco, and Pablo Higuera
Nat. Hazards Earth Syst. Sci., 23, 2157–2169, https://doi.org/10.5194/nhess-23-2157-2023, https://doi.org/10.5194/nhess-23-2157-2023, 2023
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Wave setup is a critical component of coastal flooding. Consequently, understanding and being able to predict wave setup is vital to protect coastal resources and the population living near the shore. Here, we applied machine learning to improve the accuracy of present predictors of wave setup. The results show that the new predictors outperform existing formulas demonstrating the capability of machine learning models to provide a physically sound description of wave setup.
Ina Teutsch, Markus Brühl, Ralf Weisse, and Sander Wahls
Nat. Hazards Earth Syst. Sci., 23, 2053–2073, https://doi.org/10.5194/nhess-23-2053-2023, https://doi.org/10.5194/nhess-23-2053-2023, 2023
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Rogue waves exceed twice the significant wave height. They occur more often than expected in the shallow waters off Norderney. When applying a nonlinear Fourier transform for the Korteweg–de Vries equation to wave data from Norderney, we found differences in the soliton spectra of time series with and without rogue waves. A strongly outstanding soliton in the spectrum indicated an enhanced probability for rogue waves. We could attribute spectral solitons to the measured rogue waves.
Philipp Heinrich, Stefan Hagemann, Ralf Weisse, Corinna Schrum, Ute Daewel, and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 23, 1967–1985, https://doi.org/10.5194/nhess-23-1967-2023, https://doi.org/10.5194/nhess-23-1967-2023, 2023
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High seawater levels co-occurring with high river discharges have the potential to cause destructive flooding. For the past decades, the number of such compound events was larger than expected by pure chance for most of the west-facing coasts in Europe. Additionally rivers with smaller catchments showed higher numbers. In most cases, such events were associated with a large-scale weather pattern characterized by westerly winds and strong rainfall.
Alexander Böhme, Birgit Gerkensmeier, Benedikt Bratz, Clemens Krautwald, Olaf Müller, Nils Goseberg, and Gabriele Gönnert
Nat. Hazards Earth Syst. Sci., 23, 1947–1966, https://doi.org/10.5194/nhess-23-1947-2023, https://doi.org/10.5194/nhess-23-1947-2023, 2023
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External surges in the North Sea are caused by low-pressure cells travelling over the northeast Atlantic. They influence extreme water levels on the German coast and have to be considered in the design process of coastal defence structures. This study collects data about external surges from 1995–2020 and analyses their causes, behaviours and potential trends. External surges often occur less than 72 h apart, enabling a single storm surge to be influenced by more than one external surge.
Kenta Tozato, Shuji Moriguchi, Shinsuke Takase, Yu Otake, Michael R. Motley, Anawat Suppasri, and Kenjiro Terada
Nat. Hazards Earth Syst. Sci., 23, 1891–1909, https://doi.org/10.5194/nhess-23-1891-2023, https://doi.org/10.5194/nhess-23-1891-2023, 2023
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This study presents a framework that efficiently investigates the optimal placement of facilities probabilistically based on advanced numerical simulation. Surrogate models for the numerical simulation are constructed using a mode decomposition technique. Monte Carlo simulations using the surrogate models are performed to evaluate failure probabilities. Using the results of the Monte Carlo simulations and the genetic algorithm, optimal placements can be investigated probabilistically.
Job C. M. Dullaart, Sanne Muis, Hans de Moel, Philip J. Ward, Dirk Eilander, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 23, 1847–1862, https://doi.org/10.5194/nhess-23-1847-2023, https://doi.org/10.5194/nhess-23-1847-2023, 2023
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Coastal flooding is driven by storm surges and high tides and can be devastating. To gain an understanding of the threat posed by coastal flooding and to identify areas that are especially at risk, now and in the future, it is crucial to accurately model coastal inundation and assess the coastal flood hazard. Here, we present a global dataset with hydrographs that represent the typical evolution of an extreme sea level. These can be used to model coastal inundation more accurately.
Cited articles
Abbas, S., Nichol, J. E., Fischer, G. A., Wong, M. S., and Irteza, S. M.: Impact assessment of a super-typhoon on Hong Kong's secondary vegetation and recommendations for restoration of resilience in the forest succession, Agr. Forest Meteorol., 280, 107784,
https://doi.org/10.1016/j.agrformet.2019.107784, 2020.
Adhikari, M. D., Maiti, S., Bera, A., and Chaudhury, N. R.: Post-tsunami
adjustment of coral reef platform and other morphometric changes in Landfall
Island, North Andaman – An integrated field and remote sensing-based
approach, Regional Studies in Marine Science, 48, 101975,
https://doi.org/10.1016/j.rsma.2021.101975, 2021.
Altman, J., Doležal, J., Černý, T., and Song, J. S.: Forest
response to increasing typhoon activity on the Korean peninsula: evidence
from oak tree-rings, Glob. Change Biol., 19, 498–504,
https://doi.org/10.1111/gcb.12067, 2013.
Amiri, R., Weng, Q., Alimohammadi, A., and Alavipanah, S. K.:
Spatial–temporal dynamics of land surface temperature in relation to
fractional vegetation cover and land use/cover in the Tabriz urban area,
Iran, Remote Sens. Environ., 113, 2606–2617,
https://doi.org/10.1016/j.rse.2009.07.021, 2009.
Arisanty, D. and Saputra, A. N.: Remote sensing studies of suspended sediment concentration variation in Barito Delta, in: IOP Conference Series: Earth and Environmental Science, 27–28 September 2017, Yogyakarta, Indonesia, 98, 012058, https://doi.org/10.1088/1755-1315/98/1/012058, 2017.
Aswatha, S. M., Mukherjee, J., Biswas, P. K., and Aikat, S.: Unsupervised
classification of land cover using multi-modal data from multispectral and
hybrid-polarimetric SAR imageries, Int. J. Remote Sens.,
41, 5277–5304, https://doi.org/10.1080/01431161.2020.1731771, 2020.
Awad, M. and El-Sayed, H. M.: The analysis of shoreline change dynamics and
future predictions using automated spatial techniques: Case of El-Omayed on
the Mediterranean coast of Egypt, Ocean Coast. Manage., 205,
105568, https://doi.org/10.1016/j.ocecoaman.2021.105568, 2021.
Bao, A., Huang, Y., Ma, Y., Guo, H., and Wang, Y.: Assessing the effect of
EWDP on vegetation restoration by remote sensing in the lower reaches of
Tarim River, Ecol. Indic., 74, 261–275,
https://doi.org/10.1016/j.ecolind.2016.11.007, 2017.
Bhowmik, A. K. and Cabral, P.: Cyclone Sidr impacts on the Sundarbans
floristic diversity, Earth Sci. Res., 2, 62,
https://doi.org/10.5539/esr.v2n2p62, 2013.
Bhuiyan, M. J. A. N. and Dutta, D.: Analysis of flood vulnerability and
assessment of the impacts in coastal zones of Bangladesh due to potential
sea-level rise, Nat. Hazards, 61, 729–743,
https://doi.org/10.1007/s11069-011-0059-3, 2012.
Bian, S., Hu, Z., Liu, J., and Zhu, Z.: Sediment suspension and the dynamic
mechanism during storms in the Yellow River Delta, Environ. Monit. Assess., 189, 1–13, https://doi.org/10.1007/s10661-016-5688-2, 2017.
Bishop-Taylor, R., Nanson, R., Sagar, S., and Lymburner, L.: Mapping
Australia's dynamic coastline at mean sea level using three decades of
Landsat imagery, Remote Sens. Environ., 267, 112734,
https://doi.org/10.1016/j.rse.2021.112734, 2021.
Byun, D. S., Wang, X. H., and Holloway, P. E.: Tidal characteristic
adjustment due to dyke and seawall construction in the Mokpo Coastal Zone,
Korea, Estuar. Coast. Shelf S., 59, 185–196,
https://doi.org/10.1016/j.ecss.2003.08.007, 2004.
Cakir, H. I., Khorram, S., and Nelson, S. A.: Correspondence analysis for
detecting land cover change, Remote Sens. Environ., 102,
306–317, https://doi.org/10.1016/j.rse.2006.02.023, 2006.
Carlson, T. N. and Ripley, D. A.: On the relation between NDVI, fractional
vegetation cover, and leaf area index, Remote Sens. Environ., 62,
241–252, https://doi.org/10.1016/S0034-4257(97)00104-1, 1997.
Cha, E. J., Yun, S. G., Moon, I. J., and Kim, D. H.: Binary interaction of
typhoons Soulik and Cimaron in 2018 – Part I: Observational characteristics
and forecast error, Tropical Cyclone Research and Review, 10, 32–42,
https://doi.org/10.1016/j.tcrr.2021.03.001, 2021.
Charrua, A. B., Padmanaban, R., Cabral, P., Bandeira, S., and Romeiras, M.
M.: Impacts of the tropical cyclone idai in mozambique: A multi-temporal
Landsat satellite imagery analysis, Remote Sens., 13, 201,
https://doi.org/10.3390/rs13020201, 2021.
Chau, P. M., Wang, C. K., and Huang, A. T.: The spatial-temporal
distribution of GOCI-derived suspended sediment in Taiwan coastal water
induced by typhoon Soudelor, Remote Sens., 13, 194,
https://doi.org/10.3390/rs13020194, 2021.
Choi, J. K., Park, Y. J., Ahn, J. H., Lim, H. S., Eom, J., and Ryu, J. H.:
GOCI, the world's first geostationary ocean color observation satellite, for
the monitoring of temporal variability in coastal water turbidity, J. Geophys. Res. Oceans, 117, C09004, https://doi.org/10.1029/2012JC008046, 2012.
Choi, J. K., Park, Y. J., Lee, B. R., Eom, J., Moon, J. E., and Ryu, J. H.:
Application of the Geostationary Ocean Color Imager (GOCI) to mapping the
temporal dynamics of coastal water turbidity, Remote Sens. Environ.,
146, 24–35, https://doi.org/10.1016/j.rse.2013.05.032, 2014.
Choi, K.: Morphology, sedimentology and stratigraphy of Korean tidal
flats – Implications for future coastal managements, Ocean Coast. Manage., 102, 437–448, https://doi.org/10.1016/j.ocecoaman.2014.07.009, 2014.
Choi, M. K., Choi, H. G., Moon, H. B., Yu, J., Kang, S. K., and Choi, S. K.:
Sources and distributions of organic wastewater compounds on the Mokpo Coast
of Korea, Fisheries and Aquatic Sciences, 10, 205–214,
https://doi.org/10.5657/fas.2007.10.4.205, 2007.
Chu, T., Guo, X., and Takeda, K.: Remote sensing approach to detect post-fire
vegetation regrowth in Siberian boreal larch forest, Ecol. Indic., 62, 32–46, https://doi.org/10.1016/j.ecolind.2015.11.026, 2016.
Congalton, R. G.: A review of assessing the accuracy of classifications of
remotely sensed data, Remote Sens. Environ., 37, 35–46,
https://doi.org/10.1016/0034-4257(91)90048-B, 1991.
Dai, C, Howat, I. M., Larour, E., and Husby, E.: Coastline extraction from
repeat high resolution satellite imagery, Remote Sens. Environ.,
229, 260–270, https://doi.org/10.1016/j.rse.2019.04.010, 2019.
Dail, M. B., Corbett, D. R., and Walsh, J. P.: Assessing the importance of
tropical cyclones on continental margin sedimentation in the Mississippi
delta region, Cont. Shelf Res., 27, 1857–1874,
https://doi.org/10.1016/j.csr.2007.03.004, 2007.
Datta, D. and Deb, S.: Analysis of coastal land use/land cover changes in
the Indian Sunderbans using remotely sensed data, Geospatial Information
Science, 15, 241–250, https://doi.org/10.1080/10095020.2012.714104, 2012.
Deabes, E. A.: Applying ArcGIS to Estimate the Rates of Shoreline and
Back-Shore Area Changes along the Nile Delta Coast, Egypt, International
Journal of Geosciences, 8, 332, https://doi.org/10.4236/ijg.2017.83017, 2017.
Eastman, J. R., Sangermano, F., Machado, E. A., Rogan, J., and Anyamba, A.:
Global trends in seasonality of normalized difference vegetation index
(NDVI), 1982–2011, Remote Sens., 5, 4799–4818,
https://doi.org/10.3390/rs5104799, 2013.
Eom, J., Lee, C., Jang, J., Choi, J. K., and Park, S.: Study on
environmental change monitoring between shoreline change and suspended
sediment concentration using Landsat images in Nakdong river, Korea, in: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23–28 July 2017, Fort Worth, TX, USA, IEEE, 3607–3609, https://doi.org/10.1109/IGARSS.2017.8127779, 2017.
ERDAS: ERDAS Imagine Tour Guides, ERDAS Inc., Atlanta, GA, https://eclass.uoa.gr/modules/document/file.php/GEOL130/ERDAS_TourGuide.pdf (last access: 9 July 2023), 1997.
ESA: Multispectral instrument (MSI) overview, European Space Agency, https://sentinels.copernicus.eu/web/sentinel/technical-guides/sentinel-2-msi (last access: 7 September 2022), 2020.
ESCAP/WMO Typhoon Committee: Member Report, Republic of Korea, 13th Integrated Workshop, Chiang Mai, Thailand, 5–9 November 2018, ESCAP/WMO Typhoon Committee, https://www.typhooncommittee.org/13IWS/Members13IWS.html (last
access: 28 April 2023), 2018.
Filgueiras, R., Mantovani, E. C., Althoff, D., Fernandes Filho, E. I., and
Cunha, F. F. D.: Crop NDVI monitoring based on sentinel 1, Remote Sens.,
11, 1441, https://doi.org/10.3390/rs11121441, 2019.
Ge, J., Meng, B., Liang, T., Feng, Q., Gao, J., Yang, S., Huang, X., and Xie, H.: Modeling alpine grassland cover based on MODIS data and support vector
machine regression in the headwater region of the Huanghe River, China,
Remote Sens. Environ., 218, 162–173,
https://doi.org/10.1016/j.rse.2018.09.019, 2018.
Goff, J. A., Allison, M. A., and Gulick, S. P.: Offshore transport of
sediment during cyclonic storms: Hurricane Ike (2008), Texas Gulf Coast,
USA, Geology, 38, 351–354, https://doi.org/10.1130/G30632.1, 2010.
Gong, W. and Shen, J.: Response of sediment dynamics in the York River
Estuary, USA to tropical cyclone Isabel of 2003, Estuar. Coast. Shelf S., 84, 61–74, https://doi.org/10.1016/j.ecss.2009.06.004, 2009.
Halder, B. and Bandyopadhyay, J.: Monitoring the tropical cyclone “Yass” and “Amphan” affected flood inundation using Sentinel-1/2 data and Google Earth Engine, Modeling Earth Systems and Environment, 8, 4317–4332,
https://doi.org/10.1007/s40808-022-01359-w, 2022.
Hopper, M.: WXTide32 Version 4.0, Free Software Foundation Inc., Cambridge, http://www.wxtide32.com (last access: 25 April 2022), 2004.
Hoque, M. A. A., Phinn, S., Roelfsema, C., and Childs, I.: Assessing
tropical cyclone impacts using object-based moderate spatial resolution
image analysis: a case study in Bangladesh, Int. J. Remote Sens., 37, 5320–5343, https://doi.org/10.1080/01431161.2016.1239286, 2016.
Hossain, A. A., Mathias, C., and Blanton, R.: Remote sensing of turbidity in
the Tennessee River using Landsat 8 satellite, Remote Sens., 13, 3785,
https://doi.org/10.3390/rs13183785, 2021.
Hossain, A. K. M. A., Jia, Y., and Chao, X.: Development of remote sensing
based index for estimating/mapping suspended sediment concentration in river
and lake environments, in: Proceedings of 8th international symposium on
ECOHYDRAULICS (ISE 2010), Seoul, Korea, 12–16 September 2010, 435, 578–585, https://scholar.google.com/scholar_lookup?title=Development%20of%20remote%20sensing%20based%20Index%20for%20estimating%2Fmapping%20suspended%20sediment%20concentration%20in%20river%20and%20lake%20environments&author=A.K.M.A.%20Hossain&publication_year=2010&pages=578-585 (last access: 10 July 2023), 2010.
Hu, T. and Smith, R. B.: The impact of Hurricane Maria on the vegetation of
Dominica and Puerto Rico using multispectral remote sensing, Remote Sens.,
10, 827, https://doi.org/10.3390/rs10060827, 2018.
Hwang, D. J., Choi, J. K., Eom, J., Ryu, J. H., and Woo, H. J.: Long-term
monitoring of suspended sediments concentration using GOCI and field data in
Han-river estuary, Korea, in: 2016 IEEE International Geoscience and Remote
Sensing Symposium, 10–15 July 2016, Beijing, China, IEEE, 2465–2467, https://doi.org/10.1109/IGARSS.2016.7729636, 2016.
Hwang, S., Son, S., Lee, C., and Yoon, H. D.: Quantitative assessment of
inundation risks from physical contributors associated with future storm
surges: a case study of Typhoon Maemi (2003), Nat. Hazards, 104,
1389–1411, https://doi.org/10.1007/s11069-020-04225-z, 2020.
Jing, X., Yao, W. Q., Wang, J. H., and Song, X. Y.: A study on the
relationship between dynamic change of vegetation coverage and precipitation
in Beijing's mountainous areas during the last 20 years, Math. Comput. Model., 54, 1079–1085, https://doi.org/10.1016/j.mcm.2010.11.038, 2011.
Kang, J. W.: Changes in tidal characteristics as a result of the
construction of sea-dike/sea-walls in the Mokpo coastal zone in Korea,
Estuar. Coast. Shelf S., 48, 429–438, https://doi.org/10.1006/ecss.1998.0464, 1999.
Kang, J. W. and Jun, K. S.: Flood and ebb dominance in estuaries in Korea,
Estuar. Coast. Shelf S., 56, 187–196, https://doi.org/10.1016/S0272-7714(02)00156-7, 2003.
Kang, J. W., Moon, S. R., Lee, D. S., and Lee, J. L.: Surge-Wave Combined
Inundation at Mokpo North Harbour, Korea, J. Coastal Res., SI 50, 1081–1085, 2007.
Kang, K. and Moon, I. J.: Sea Surface Height Changes due to the Tropical
Cyclone-Induced Water Mixing in the Yellow Sea, Korea, Front. Earth
Sci., 10, 826582, https://doi.org/10.3389/feart.2022.826582, 2022.
Kang, K., Jo, H. J., and Kim, Y.: Ocean responses to Typhoon Soulik (1819)
around Korea, Ocean Sci. J., 55, 445–457, https://doi.org/10.1007/s12601-020-0030-x, 2020.
Kavan, J., Wieczorek, I., Tallentire, G. D., Demidionov, M., Uher, J., and
Strzelecki, M. C.: Estimating Suspended Sediment Fluxes from the Largest
Glacial Lake in Svalbard to Fjord System Using Sentinel-2 Data: Trebrevatnet
Case Study, Water, 14, 1840, https://doi.org/10.3390/w14121840, 2022.
Kermani, S., Boutiba, M., Guendouz, M., Guettouche, M. S., and Khelfani, D.:
Detection and analysis of shoreline changes using geospatial tools and
automatic computation: Case of jijelian sandy coast (East Algeria), Ocean Coast. Manage., 132, 46–58, https://doi.org/10.1016/j.ocecoaman.2016.08.010, 2016.
Keukelaere, L. De, Sterckx, S., Adriaensen, S., Knaeps, E., Reusen, I., Giardino, C., Bresciani, M., Hunter, P., Neil, C., Van der Zande, D., and Vaiciute, D.: Atmospheric correction of Landsat-8/OLI
and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and
inland waters, Eur. J. Remote Sens., 51, 525–542,
https://doi.org/10.1080/22797254.2018.1457937, 2018.
Kim, J. M., Bae, J., Son, S., Son, K., and Yum, S. G.: Development of model
to predict natural disaster-induced financial losses for construction
projects using deep learning techniques, Sustainability, 13, 5304,
https://doi.org/10.3390/su13095304, 2021.
Kim, Y. C.: Handbook of coastal and ocean engineering, World Scientific, https://doi.org/10.1142/6914, 2010.
KMA: Typhoon White Book, Korea Meteorological Administration, https://www.kma.go.kr/download_01/typhoon/typwhitebook_2011.pdf (last access: 20 April 2022), 2011.
KMA: 2018 annual report, Korea Meteorological Administration, https://www.kma.go.kr/download_01/Annual_Report_2018.pdf (last access: 20 April 2022), 2018.
Konda, V. G. R. K., Chejarla, V. R., Mandla, V. R., Voleti, V., and
Chokkavarapu, N.: Vegetation damage assessment due to Hudhud cyclone based
on NDVI using Landsat-8 satellite imagery, Arab. J. Geosci.,
11, 1–11, https://doi.org/10.1007/s12517-017-3371-8, 2018.
Kumar, R., Rani, S., and Maharana, P.: Assessing the impacts of Amphan
cyclone over West Bengal, India: a multi-sensor approach, Environ.
Monit. Assess., 193, 1–21, https://doi.org/10.1007/s10661-021-09071-5, 2021.
Kwon, J. I., Choi, J. W., Lee, J. C., Min, I. K., and Park, K. S.:
Spatio-temporal Characteristics of Storm Surge Events in the Korean
Peninsula, J. Coastal Res., 85, 891–895, 2018.
Landis, J. R. and Koch, G. G.: An application of hierarchical kappa-type
statistics in the assessment of majority agreement among multiple observers,
Biometrics, 33, 363–374, 1977.
Lee, J. K., Kim, J. O., and Oh, Y. S.: Development of Coastal Safety Mapping
System by Vulnerability Assessment of Tidal Creeks, J. Coastal Res., 114, 459–463, 2021.
Lee, M. S., Park, K., Chung, J. Y., Ahn, Y. H., and Moon, J. E.: Estimation
of coastal suspended sediment concentration using satellite data and oceanic
in situ measurements, Korean Journal of Remote Sensing, 27, 677–692,
2011.
Lee, S. W., Nam, S. H., and Kim, D. J.: Estimation of marine winds in and
around typhoons using multi-platform satellite observations: Application to
Typhoon Soulik (2018), Front. Earth Sci., 16, 175–189,
https://doi.org/10.1007/s11707-020-0849-6, 2022.
Lee, Y.: Coastal planning strategies for adaptation to sea level rise:
A case study of Mokpo, Korea, Journal of Building Construction and Planning
Research, 2, 74–81, https://doi.org/10.4236/jbcpr.2014.21007, 2014.
Lee, Y. K., Choi, J. K., and Lee, H. J.: A study on seasonal dynamics of
suspended particulate matter in Korean coastal waters using GOCI, J. Coastal Res., 102, 232–245, https://doi.org/10.2112/SI102-029.1, 2020.
Li, K. and Li, G. S.: Risk assessment on storm surges in the coastal area of
Guangdong Province, Nat. Hazards, 68, 1129–1139,
https://doi.org/10.1007/s11069-013-0682-2, 2013.
Li, Y. and Li, X.: Remote sensing observations and numerical studies of a
super typhoon-induced suspended sediment concentration variation in the East
China Sea, Ocean Model., 104, 187–202, https://doi.org/10.1016/j.ocemod.2016.06.010, 2016.
Li, Y., Li, H., Qiao, L., Xu, Y., Yin, X., and He, J.: Storm deposition
layer on the Fujian coast generated by Typhoon Saola (2012), Sci. Rep., 5, 1–7, https://doi.org/10.1038/srep14904, 2015.
Liu, Y., Wu, L., and Yue, H.: Biparabolic NDVI-Ts space and soil moisture
remote sensing in an arid and semi-arid area, Can. J. Remote
Sens., 41, 159–169, https://doi.org/10.1080/07038992.2015.1065705, 2015.
Lu, J., Jiang, J., Li, A., and Ma, X.: Impact of Typhoon Chan-hom on the
marine environment and sediment dynamics on the inner shelf of the East
China Sea: In-situ seafloor observations, Mar. Geol., 406, 72–83,
https://doi.org/10.1016/j.margeo.2018.09.009, 2018.
Lu, L., Wu, C., and Di, L.: Exploring the spatial characteristics of
typhoon-induced vegetation damages in the southeast coastal area of China
from 2000 to 2018, Remote Sens., 12, 1692, https://doi.org/10.3390/rs12101692, 2020.
Lugo, A. E., Applefield, M., Pool, D. J., and McDonald, R. B.: The impact of
Hurricane David on the forests of Dominica, Can. J. Forest
Res., 13, 201–211, https://doi.org/10.1139/x83-029, 1983.
Maiti, S. and Bhattacharya, A. K.: Shoreline change analysis and its
application to prediction: A remote sensing and statistics based approach,
Mar. Geol., 257, 11–23, https://doi.org/10.1016/j.margeo.2008.10.006, 2009.
Maiti, S. and Bhattacharya, A. K.: A three-unit-based approach in
coastal-change studies using Landsat images, Int. J. Remote Sens., 32, 209–229, https://doi.org/10.1080/01431160903439965, 2011.
Mallick, B., Ahmed, B., and Vogt, J.: Living with the risks of cyclone
disasters in the southwestern coastal region of Bangladesh, Environments,
4, 13, https://doi.org/10.3390/environments4010013, 2017.
McFeeters, S. K.: The use of the Normalized Difference Water Index (NDWI) in
the delineation of open water features, Int. J. Remote Sens., 17, 1425–1432, https://doi.org/10.1080/01431169608948714, 1996.
Min, J. E., Ryu, J. H., Shanmugam, P., Ahn, Y. H., and Lee, K. S.: Monitoring suspended
sediment distribution using Landsat TM/ETM+ data in coastal waters of
Seamangeum, Korea, in: Proceedings of the KSRS Conference, The Korean Society
of Remote Sensing, 340–343, pISSN: 1226-9743, https://koreascience.kr/article/CFKO200430710678241.pdf (last access: 9 July 2023), 2004.
Min, J. E., Ahn, Y. H., Lee, K. S., and Ryu, J. H.: Development of Suspended
Sediment Algorithm for Landsat TM/ETM+ in Coastal Sea Waters-A Case Study
in Saemangeum Area, Korean Journal of Remote Sensing, 22, 87–99, 2006.
Min, J. E., Ryu, J. H., Lee, S., and Son, S.: Monitoring of suspended
sediment variation using Landsat and MODIS in the Saemangeum coastal area of
Korea, Mar. Pollut. Bull., 64, 382–390,
https://doi.org/10.1016/j.marpolbul.2011.10.025, 2012.
Min, J. E., Choi, J. K., Yang, H., Lee, S., and Ryu, J. H.: Monitoring
changes in suspended sediment concentration on the southwestern coast of
Korea, J. Coastal Res., 70, 133–138, 2014.
Mishra, M., Acharyya, T., Santos, C. A. G., da Silva, R. M., Kar, D., Kamal,
A. H. M., and Raulo, S.: Geo-ecological impact assessment of severe cyclonic
storm Amphan on Sundarban mangrove forest using geospatial technology,
Estuar. Coast. Shelf S., 260, 107486, https://doi.org/10.1016/j.ecss.2021.107486, 2021a.
Mishra, M., Santos, C. A. G., da Silva, R. M., Rana, N. K., Kar, D., and
Parida, N. R.: Monitoring vegetation loss and shoreline change due to
tropical cyclone Fani using Landsat imageries in Balukhand-Konark Wildlife
Sanctuary, India, J. Coast. Conserv., 25, 1–11,
https://doi.org/10.1007/s11852-021-00840-5, 2021b.
Moon, I. J., Oh, I. S., Murty, T., and Youn, Y. H.: Causes of the unusual
coastal flooding generated by Typhoon Winnie on the west coast of Korea,
Nat. Hazards, 29, 485–500, https://doi.org/10.1023/A:1024798718572, 2003.
Na, C. K.: Heavy metals in sediments and organisms from tidal flats along
the Mokpo coastal area, Economic and Environmental Geology, 37, 335–345,
2004.
Nandi, G., Neogy, S., Roy, A. K., and Datta, D.: Immediate disturbances
induced by tropical cyclone Fani on the coastal forest landscape of eastern
India: A geospatial analysis, Remote Sensing Applications: Society and
Environment, 20, 100407, https://doi.org/10.1016/j.rsase.2020.100407, 2020.
Nayak, S.: Use of satellite data in coastal mapping, Indian Cartographer,
22, 147–157, 2002.
NGII: Digital elevation model, National Geographical Information
Institute, the Ministry of Land, Infrastructure and Transport, Korea, https://www.ngii.go.kr/ (last access: 12 July 2022), 2018.
Parida, B. R., Behera, S. N., Oinam, B., Patel, N. R., and Sahoo, R. N.:
Investigating the effects of episodic Super-cyclone 1999 and Phailin 2013 on
hydro-meteorological parameters and agriculture: An application of remote
sensing, Remote Sensing Applications: Society and Environment, 10, 128–137,
https://doi.org/10.1016/j.rsase.2018.03.010, 2018.
Park, J.H., Yeo, D.E., Lee, K., Lee, H., Lee, S.W., Noh, S., Kim, S., Shin, J., Choi, Y., and Nam, S.: Rapid decay of slowly moving Typhoon Soulik (2018) due to interactions with the strongly stratified northern East China Sea,
Geophys. Res. Lett., 46, 14595–14603, https://doi.org/10.1029/2019GL086274, 2019.
Phiri, D., Simwanda, M., and Nyirenda, V.: Mapping the impacts of cyclone
Idai in Mozambique using Sentinel-2 and OBIA approach, S. Afr. Geogr. J., 103, 237–258, https://doi.org/10.1080/03736245.2020.1740104, 2021.
Rodgers, J. C., Murrah, A. W., and Cooke, W. H.: The impact of Hurricane
Katrina on the coastal vegetation of the Weeks Bay Reserve, Alabama from
NDVI data, Estuar. Coast., 32, 496–507, https://doi.org/10.1007/s12237-009-9138-z, 2009.
Rouse, J. W., Haas, J. R. H., Schell, J. A., and Deering, D. W.: Monitoring
vegetation systems in the Great Plains with ERTS, in: NASA Spec. Publ, 351, 309–317, https://ntrs.nasa.gov/api/citations/19740022614/downloads/19740022614.pdf (last access: 9 July 2023), 1974.
Ryang, W. H., Kang, S. I., and Cho, K. S.: Characteristics of Surface
Topography and Sediments before and after the Typhoon Soulik in 2018,
Macrotidal Coast of Gochang, Korea, in: AGU Fall Meeting Abstracts, New Orleans, LA, 13–17 December 2021, ADS, OS33B-02, https://ui.adsabs.harvard.edu/abs/2021AGUFMOS33B..02R (last access: 9 July 2023), 2021.
Sadik, M., Nakagawa, H., Rahman, M., Shaw, R., Kawaike, K., and Parvin, G.
A.: Assessment of cyclone Aila recovery progress in Bangladesh: a comparison
between rice and shrimp farming villages in Koyra, in: Water, Flood
Management and Water Security Under a Changing Climate, Springer, Cham,
109–124, https://doi.org/10.1007/978-3-030-47786-8_7, 2020.
Sahoo, B. and Bhaskaran, P. K.: Multi-hazard risk assessment of coastal
vulnerability from tropical cyclones–A GIS based approach for the Odisha
coast, J. Environ. Manage., 206, 1166–1178,
https://doi.org/10.1016/j.jenvman.2017.10.075, 2018.
Santos, C. A. G., do Nascimento, T. V. M., Mishra, M., and da Silva, R. M.:
Analysis of long-and short-term shoreline change dynamics: A study case of
João Pessoa city in Brazil, Sci. Total Environ., 769,
144889, https://doi.org/10.1016/j.scitotenv.2020.144889, 2021.
Schneider, A.: Monitoring land cover change in urban and peri-urban areas
using dense time stacks of Landsat satellite data and a data mining
approach, Remote Sens. Environ., 124, 689–704,
https://doi.org/10.1016/j.rse.2012.06.006, 2012.
Shahzad, M. I., Meraj, M., Nazeer, M., Zia, I., Inam, A., Mehmood, K., and
Zafar, H.: Empirical estimation of suspended solids concentration in the
Indus Delta Region using Landsat-7 ETM+ imagery, J. Environ. Manage., 209, 254–261, https://doi.org/10.1016/j.jenvman.2017.12.070, 2018.
Shamsuzzoha, M., Noguchi, R., and Ahamed, T.: Damaged area assessment of
cultivated agricultural lands affected by cyclone bulbul in coastal region
of Bangladesh using Landsat 8 OLI and TIRS datasets, Remote Sensing
Applications: Society and Environment, 23, 100523,
https://doi.org/10.1016/j.rsase.2021.100523, 2021.
Sobrino, J. A., Jiménez-Muñoz, J. C., and Paolini, L.: Land surface
temperature retrieval from LANDSAT TM 5, Remote Sens. Environ.,
90, 434–440, https://doi.org/10.1016/j.rse.2004.02.003, 2004.
Son, S., Kim, Y. H., Kwon, J. I., Kim, H. C., and Park, K. S.:
Characterization of spatial and temporal variation of suspended sediments in
the Yellow and East China Seas using satellite ocean color data, GISci. Remote Sens., 51, 212–226, https://doi.org/10.1080/15481603.2014.895580, 2014.
Song, W., Mu, X., Ruan, G., Gao, Z., Li, L., and Yan, G.: Estimating
fractional vegetation cover and the vegetation index of bare soil and highly
dense vegetation with a physically based method, Int. J. Appl. Earth Obs., 58, 168–176, https://doi.org/10.1016/j.jag.2017.01.015, 2017.
Souza, A. J., Dickey, T. D., and Chang, G. C.: Modeling water column
structure and suspended particulate matter on the Middle Atlantic
continental shelf during the passages of Hurricanes Edouard and Hortense,
J. Mar. Res., 59, 1021–1045,
https://doi.org/10.1357/00222400160497751, 2001.
Story, M. and Congalton, R. G.: Accuracy assessment: a user's perspective,
Photogramm. Eng. Rem. S., 52, 397–399, 1986.
Tang, R., Shen, F., Ge, J., Yang, S., and Gao, W.: Investigating typhoon
impact on SSC through hourly satellite and real-time field observations: A
case study of the Yangtze Estuary, Cont. Shelf Res., 224, 104475,
https://doi.org/10.1016/j.csr.2021.104475, 2021.
Thieler, E. R., Himmelstoss, E. A., Zichichi, J. L., and Ergul, A.: The
Digital Shoreline Analysis System (DSAS) version 4.0-an ArcGIS extension for
calculating shoreline change, No. 2008-1278, US Geological Survey, https://doi.org/10.3133/ofr20081278, 2009.
Tian, Y., Mingming, J., Zongming, W., Dehua, M., Baojia, D., and Chao, W.:
Monitoring invasion process of Spartina alterniflora by seasonal Sentinel-2
imagery and an object-based random forest classification, Remote Sens.,
12, 1383, https://doi.org/10.3390/rs12091383, 2020.
Tsai, C. H., Tzang, S. Y., Hsiao, S. S., Cheng, C. C., and Li, H. W.:
Coastal structure failures and coastal waves on the north coast of Taiwan
due to typhoon Herb, J. Coastal Res., 22, 393–405, 2006.
Tsai, Y. L. S.: Monitoring 23-year of shoreline changes of the Zengwun
Estuary in Southern Taiwan using time-series Landsat data and edge detection
techniques, Sci. Total Environ., 839, 156310, https://doi.org/10.1016/j.scitotenv.2022.156310, 2022.
Wang, M. and Xu, H.: Remote sensing-based assessment of vegetation damage by
a strong typhoon (Meranti) in Xiamen Island, China, Nat. Hazards, 93,
1231–1249, https://doi.org/10.1007/s11069-018-3351-7, 2018.
Wang, S., Mu, L., Qi, M., Yu, Z., Yao, Z., and Zhao, E.: Quantitative risk
assessment of storm surge using GIS techniques and open data: A case study
of Daya Bay Zone, China, J. Environ. Manage., 289, 112514,
https://doi.org/10.1016/j.jenvman.2021.112514, 2021.
Wang, T., Liu, G., Gao, L., Zhu, L., Fu, Q., and Li, D.: Biological and
nutrient responses to a typhoon in the Yangtze Estuary and the adjacent sea,
J. Coastal Res., 32, 323–332, 2016.
Wang, W., Qu, J. J., Hao, X., Liu, Y., and Stanturf, J. A.: Post-hurricane
forest damage assessment using satellite remote sensing, Agr. Forest Meteorol., 150, 122–132, https://doi.org/10.1016/j.agrformet.2009.09.009, 2010.
WMO: Tropical cyclones, World Meteorological Organization, https://public.wmo.int/en/our-mandate/focus-areas/natural-hazards-and-disaster-risk-reduction/tropical-cyclones (last access: 14 August 2022), 2020.
Wong, M. M. F., Fung, J. C. H., and Yeung, P. P. S.: High-resolution
calculation of the urban vegetation fraction in the Pearl River Delta from
the Sentinel-2 NDVI for urban climate model parameterization, Geoscience
Letters, 6, 1–10, https://doi.org/10.1186/s40562-019-0132-4, 2019.
Xu, S., Zhu, X., Helmer, E. H., Tan, X., Tian, J., and Chen, X.: The damage
of urban vegetation from super typhoon is associated with landscape factors:
Evidence from Sentinel-2 imagery, Int. J. Appl. Earth Obs., 104, 102536,
https://doi.org/10.1016/j.jag.2021.102536, 2021.
Yang, Q., Qin, Z., Li, W., and Xu, B.: Temporal and spatial variations of
vegetation cover in Hulun Buir grassland of Inner Mongolia, China, Arid Land
Res. Manag., 26, 328–343, https://doi.org/10.1080/15324982.2012.709215, 2012.
Yang, Y., Erskine, P. D., Lechner, A. M., Mulligan, D., Zhang, S., and Wang,
Z.: Detecting the dynamics of vegetation disturbance and recovery in surface
mining area via Landsat imagery and LandTrendr algorithm, J. Clean.
Prod., 178, 353–362, https://doi.org/10.1016/j.jclepro.2018.01.050, 2018.
Yin, J., Yin, Z., and Xu, S.: Composite risk assessment of typhoon-induced
disaster for China's coastal area, Nat. Hazards, 69, 1423–1434,
https://doi.org/10.1007/s11069-013-0755-2, 2013.
Yoon, W. S., Yoon, S. H., Moon, J. H., and Hong, J. S.: Topographic
Variability during Typhoon Events in Udo Rhodoliths Beach, Jeju Island,
South Korea, Ocean and Polar Research, 43, 307–320, 2021.
Yu, J. J., Kim, D., and Yoon, J.: A Study on the Short-term Morphological
Beach Changes of Pado-ri Using UAS-based DEM: Focusing on before and after
Typhoon Soulik, Journal of the Association of Korean Geographers, 7,
303–317, 2018.
Yum, S.-G., Wei, H.-H., and Jang, S.-H.: Estimation of the non-exceedance probability of extreme storm surges in South Korea using tidal-gauge data, Nat. Hazards Earth Syst. Sci., 21, 2611–2631, https://doi.org/10.5194/nhess-21-2611-2021, 2021.
Zhang, J., Zhang, Z., Chen, J., Chen, H., Jin, J., Han, J., Wang, X., Song, Z., and Wei, G.: Estimating soil salinity with different fractional vegetation cover using remote sensing, Land Degrad. Dev., 32, 597–612,
https://doi.org/10.1002/ldr.3737, 2021.
Zhang, X., Wang, Y., Jiang, H., and Wang, X.: Remote-sensing assessment of
forest damage by Typhoon Saomai and its related factors at landscape scale,
Int. J. Remote Sens., 34, 7874–7886, https://doi.org/10.1080/01431161.2013.827344, 2013.
Zhang, Y., Sun, Y., Hu, Z., Bian, S., Xiong, C., Liu, J., Chi, W., and Zhang, W.: Increase in Suspended Sediment Contents by a Storm Surge in Southern
Bohai Sea, China, Math. Probl. Eng., 2022, 9585386, https://doi.org/10.1155/2022/9585386, 2022.
Short summary
This study performed analysis on typhoon-induced coastal morphodynamics for the Mokpo coast. Wetland vegetation was severely impacted by Typhoon Soulik, with 87.35 % of shoreline transects experiencing seaward migration. This result highlights the fact that sediment resuspension controls the land alteration process over the typhoon period. The land accretion process dominated during the pre- to post-typhoon periods.
This study performed analysis on typhoon-induced coastal morphodynamics for the Mokpo coast....
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