Article
Environmental Sciences
Gael Durand, Michiel R. van den Broeke, Goneri Le Cozannet, Tamsin L. Edwards, Paul R. Holland, Nicolas C. Jourdain, Ben Marzeion, Ruth Mottram, Robert J. Nicholls, Frank Pattyn, Frank Paul, Aimee B. A. Slangen, Ricarda Winkelmann, Clara Burgard, Caroline J. van Calcar, Jean-Baptiste Barre, Amelie Bataille, Anne Chapuis
Summary: Coastal areas are highly sensitive to sea-level change and play a crucial role in socio-economic activities. The future magnitude and rate of sea-level change are of great importance for coastal risk aversion and adaptation measures. Addressing this issue requires a transdisciplinary scientific community and close collaboration with local stakeholders.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Aaron Bagnell, Tim DeVries
Summary: Global sea level rise is primarily caused by heating of the ocean and the input of freshwater from melting ice. This study shows that trends in sea level rise can also be accurately tracked by observing changes in ocean salinity. The results highlight the importance of measuring ocean salinity for monitoring global sea level changes.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Georgios Boumis, Hamed. R. R. Moftakhari, Hamid Moradkhani
Summary: The design of coastal defense structures needs to consider the projected sea-level rise. Global annual maxima sea levels have been increasing primarily due to a rise in mean sea level. Non-stationary extreme value theory is applied to model sea levels with mean sea level as a covariate, showing that many locations will experience their present-day 100-year return level as a more frequent event in the future. By the end of this century, almost all locations examined will encounter their current 100-year return level on an annual basis.
Article
Environmental Sciences
Xiuling Zuo, Fenzhen Su, Kefu Yu, Yinghui Wang, Qi Wang, Huisheng Wu
Summary: This study used GIS and RS methods to model the impact of climate change and sea-level rise on coral reef growth in the South China Sea. It found that the Xisha and Dongsha Islands may have better growth status, while the southern Nansha Islands reefs are at risk of stopping growth.
Article
Multidisciplinary Sciences
A. Hooijer, R. Vernimmen
Summary: The study reveals that areas most vulnerable to sea-level rise are mainly located in tropical regions, especially in tropical Asia. Even with a conservative estimate of 1 meter sea-level rise, the population in these areas is expected to increase significantly.
NATURE COMMUNICATIONS
(2021)
Article
Geosciences, Multidisciplinary
William Llovel, Kevin Balem, Soumaia Tajouri, Antoine Hochet
Summary: Global mean sea level rose by 15 mm over June 2014 - May 2016, with 80% of the rise attributed to a global ocean mass increase. The South American continent, specifically the Amazon basin, contributed significantly to this increase. These changes were influenced by two El Nino events, which affected precipitation patterns worldwide.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Ben S. Hague, Shayne Mcgregor, David A. Jones, Ruth Reef, Doerte Jakob, Bradley F. Murphy
Summary: We provide the first global estimates of annual average exceedances of various flood levels under sea-level rise (SLR). Minor flooding will occur most days worldwide with a global SLR of 0.7 m, while moderate flooding occurs with the same frequency under 1.0 m SLR. The differences in flood thresholds, tidal ranges, and non-tidal variability among regions lead to variations in the SLR required for chronic flooding to occur. Our findings have implications for coastal flood hazard assessments and we have developed a framework called RAFFFTS to identify potential future tidal flooding hotspots using only 1-year observational records.
Article
Environmental Sciences
Ben Hague, Shayne Mcgregor, David Jones, Ruth Reef, Doerte Jakob, Bradley Murphy
Summary: This study presents the first global estimates of annual average exceedances of minor, moderate, and major flood levels under sea-level rise. The findings demonstrate that chronic flooding can occur with less sea-level rise in areas with lower flood thresholds and smaller tidal ranges. The study also introduces a new assessment framework, RAFFFTS, which can identify potential future tidal flooding hotspots using only 1-year observational records.
Article
Geography, Physical
Philip L. Woodworth, John R. Hunter, Marta Marcos, Chris W. Hughes
Summary: The study utilized tide gauge data and information from tide, surge, and ocean models to calculate and validate the Gumbel scale parameters of extreme sea level distributions worldwide. Incorporating ocean model information led to significantly improved correspondence between observed and modelled scale parameters. This enhanced provision of scale parameters along the coastline allows for more complete investigations of sea level exceedance frequencies and provides coastal engineers with more reliable estimates for designing defenses to protect coastal populations.
GLOBAL AND PLANETARY CHANGE
(2021)
Article
Geochemistry & Geophysics
William C. Hammond, Geoffrey Blewitt, Corne Kreemer, R. Steven Nerem
Summary: Using GPS Imaging, we estimated rates and patterns of vertical land motion (VLM) globally. The assessment showed that the uplift and subsidence on land is mainly driven by loading from the terrestrial hydrosphere, with a global assessment of uplift and subsidence attributable to GIA and non-GIA sources.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Review
Environmental Sciences
Martin Jakobsson, Larry A. Mayer
Summary: The interaction between the ocean, cryosphere, and seafloor is vital for understanding processes such as deep ocean mixing, glacier dynamics, and sea-level rise. However, there is a critical knowledge gap in accurately mapping the seafloor in Polar regions, which needs to be addressed to improve predictions and understanding of these processes.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Environmental Sciences
Sanusi Cob, Majid Kadir, Rene Forsberg, Wim Simons, Marc Naeije, Ami Hassan Din, Husaini Yacob, Asyran Amat, Daud Mahdzur, Zuhairy Ibrahim, Kenidi Aziz, Norehan Yaacob, Felix Johann, Tim Jensen, Hergeir Teitsson, Shahrum Ses, Anim Yahaya, Soeb Nordin, Fadhil Majid
Summary: The Peninsular Malaysia Geodetic Vertical Datum 2000 (PMGVD2000) has deficiencies due to local datum offsets, levelling errors, land subsidence, and sea level changes. To address these issues and improve elevation assessments, a new height reference system called PMGVD2022 has been developed.
Article
Environmental Sciences
Vassilios N. Grigoriadis, Vassilios D. Andritsanos, Dimitrios A. Natsiopoulos, Georgios S. Vergos, Ilias N. Tziavos
Summary: In this study, the contribution of different global geopotential models in geoid computation is examined using the remove-compute-restore approach. Gravity measurements were conducted in two test areas in Greece, and the measurements were used along with selected geopotential models to produce the reduced gravity field and derive the residual gravity field. These geoid models were validated with gravity/GNSS/leveling measurements, and the accuracy was influenced by the inclusion of non-recent data and the geopotential model used.
Article
Geosciences, Multidisciplinary
Jaap H. Nienhuis, Roderik S. W. van de Wal
Summary: Research indicates that river deltas are facing significant land loss due to climate-change driven sea-level rise, with future projections showing a gloomy outlook.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Svetlana Jevrejeva, Joanne Williams, Michalis Vousdoukas, Luke P. Jackson
Summary: We provide a worst case scenario for extreme sea levels (ESLs) along the global coastline by 2100. Under these conditions, by 2100, the global coastline would experience ESLs above the global mean of 4.2 m, with some areas reaching up to 9-10 m. Future sea level rise is the main driver behind the increase in magnitude of ESLs, contributing to 90% of the increase.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Sangam Shrestha, Naditha Imbulana, Thanapon Piman, Somchai Chonwattana, Sarawut Ninsawat, Muhammad Babur
Article
Forestry
Siriruk Pimmasarn, Nitin Kumar Tripathi, Sarawut Ninsawat, Nophea Sasaki
Article
Biodiversity Conservation
Vanda Eva Molnar, Edina Simon, Bela Tothmeresz, Sarawut Ninsawat, Szilard Szabo
ECOLOGICAL INDICATORS
(2020)
Article
Environmental Sciences
Vanda Eva Molnar, Edina Simon, Sarawut Ninsawat, Bela Tothmeresz, Szilard Szabo
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Green & Sustainable Science & Technology
Daroonwan Kamthonkiat, Juthasinee Thanyapraneedkul, Nithima Nuengjumnong, Sarawut Ninsawat, Kessinee Unapumnuk, Tuong Thuy Vu
Summary: A model was developed to estimate PM10 concentrations in Nan Province, Thailand, using Landsat 8 imagery and ground station data, achieving an error of < 20%. Results were classified into five air quality levels based on criteria, with fire hotspots and high PM10 concentrations often associated with agricultural land.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Environmental Sciences
Orsolya Gyongyi Varga, Zoltan Kovacs, Laszlo Beko, Peter Burai, Zsuzsanna Csatarine Szabo, Imre Holb, Sarawut Ninsawat, Szilard Szabo
Summary: The study analyzed the correspondence between land cover categories from the CLC2018 dataset and spectral information from various satellite images. Various statistical tests and classification methods were used, showing that wetlands and water bodies were prone to confusion with other categories, and Random Forest classification outperformed Linear Discriminant Analysis. PlanetScope data was found to be the most accurate.
Article
Green & Sustainable Science & Technology
Songkorn Siangsuebchart, Sarawut Ninsawat, Apichon Witayangkurn, Surachet Pravinvongvuth
Summary: Bangkok is a highly developed and expansive city in Thailand, with urbanization spreading into adjacent provinces to form the Bangkok Metropolitan Region (BMR). Monitoring human mobility in BMR aids in public transport planning and design, as well as performance assessment.
Article
Environmental Sciences
Thomas Bauer, Markus Immitzer, Reinfried Mansberger, Francesco Vuolo, Bela Markus, Malgorzata Verone Wojtaszek, Lorant Foldvary, Aneta Szablowska-Midor, Jacek Kozak, Ivan Oliveira, Arno van Lieshout, Zoltan Vekerdy, Sarawut Ninsawat, Chitrini Mozumder
Summary: The report discusses the innovative e-learning platform created in the Erasmus+ CBHE project with a focus on remote sensing, tailored for Asian partner universities. The modules developed were well-received by teachers and students during piloting, leading to integration into the curricula of participating universities.
Article
Green & Sustainable Science & Technology
Morakot Worachairungreung, Sarawut Ninsawat, Apichon Witayangkurn, Matthew N. Dailey
Summary: Road traffic injuries are a major global public health issue, with high rates in areas like Nonthaburi and Pathum Thani. This study used machine learning algorithms to identify and classify environmental factors affecting risk-prone areas, with length being the most critical factor. The experiments showed that the random forest model provided the best results in predicting and analyzing road traffic injuries.
Article
Chemistry, Multidisciplinary
Siddharth Chaudhary, Sarawut Ninsawat, Tai Nakamura
Summary: The escalating threat of explosives worldwide has prompted a study to determine the optimal altitude and minimum mapping size for accurate detection. By varying the altitude of the sensor and the size of chemical samples, experiments were conducted to achieve a detection accuracy of at least 70%, with promising results at an altitude of 90 cm and minimum sample size of 0.5 cm or greater.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Morakot Worachairungreung, Kunyaphat Thanakunwutthirot, Sarawut Ninsawat
Summary: Land is a crucial cost factor in real estate developments, with its value influenced by surrounding factors. This study utilized machine learning techniques to estimate land value distribution in the Talingchan district of Bangkok, showcasing random forest algorithm as the most accurate.
APPLIED SCIENCES-BASEL
(2021)
Article
Forestry
Kamonporn Upakankaew, Sarawut Ninsawat, Salvatore G. P. Virdis, Nophea Sasaki
Summary: The study successfully differentiated changes in different stages of mangroves in Samut Songkhram province, Thailand using data from Sentinel-1 and Sentinel-2 satellites, demonstrating the utility of multi-temporal data in evaluating mangroves.
Article
Engineering, Marine
Chayutpong Manakul, S. Mohanasundaram, Sutat Weesakul, Sangam Shrestha, Sarawut Ninsawat, Somchai Chonwattana
Summary: A framework is developed in this study to classify the types of headland-bay beaches in Southeast Asia. The results show that dynamic bays are more common than stable bays. Dynamic bays are highly sensitive to low sediment supply, but become less sensitive as the sediment supply increases. The study also presents the development of sediment control and a combined method, demonstrated by a case study on stabilizing a dynamic unstable bay.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Prapas Thammaboribal, N. K. Tripathi, Sarawut Ninsawat, Indrajit Pal
Summary: This study presents an alternative technique for detecting vertical total electron content (VTEC) anomalies based on diurnal VTEC values. By analyzing the daily mean of VTEC and the standard deviation of diurnal VTEC, and creating maps using ordinary Kriging interpolation technique, it is possible to detect ionospheric anomalies prior to earthquakes.
Article
Environmental Studies
Nawhath Thanvisitthpon, Sangam Shrestha, Indrajit Pal, Sarawut Ninsawat, Winai Chaowiwat
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2020)
