Preprints

Filtering by Subject: Geomorphology

Transformation of dense shelf water cascade into turbidity currents: insights from high-resolution geophysical datasets

Nan Wu, Fa Guang Zhong, Yakup Niyazi, et al.

Published: 2023-02-17
Subjects: Earth Sciences, Geomorphology, Sedimentology

Dense shelf water cascade (DSWC) is a common oceanographic phenomenon on many continental shelves. Previous studies indicate that the DSWC could shape seabed physiography and carry seawater, sediment, and organic carbon a long distance from the continental shelf to the basin floor. However, it remains enigmatic how these DSWC’s interact with seabed geomorphology and travel long distances from the [...]

Revealing the hillslope response to earthquake legacy effect using time series InSAR

Nitheshnirmal Sadhasivam, Ling Chang, Hakan Tanyas

Published: 2023-01-31
Subjects: Geomorphology, Other Earth Sciences

Strong earthquakes are not only able to change the earth's surface processes by triggering a large population of coseismic landslides but also by influencing hillslope deformation rates in post-seismic periods. An increase in post-seismic hillslope deformation rates could also be linked to a change in post-seismic landslide hazard level and, thus, could be exploited to better assess post-seismic [...]

Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia

Ratna Satyaningsih, Victor Jetten, Janneke Ettema, et al.

Published: 2023-01-20
Subjects: Applied Statistics, Earth Sciences, Geomorphology, Hydrology, Meteorology

This study aims to derive and evaluate new empirical rainfall thresholds as the basis for landslide early warning in Progo Catchment, Indonesia, using high-resolution rainfall datasets. Although attempts have been made to determine such thresholds for regions in Indonesia, they used coarse-resolution data and fixed rainfall duration that might not reflect the characteristics of rainfall events [...]

From ground motion simulations to landslide occurrence prediction

Ashok Dahal, David Alejandro Casto Cruz, Hakan Tanyas, et al.

Published: 2023-01-17
Subjects: Applied Statistics, Earth Sciences, Geomorphology, Geophysics and Seismology, Physical Sciences and Mathematics, Soil Science, Statistical Models, Statistics and Probability

Ground motion simulations solve wave equations in space and time, thus producing detailed estimates of the shaking time series. This is essentially uncharted territory for geomorphologists, for we have yet to understand which ground motion (synthetic or not) parameter, or combination of parameters, is more suitable to explain the coseismic landslide distribution. To address this gap, we developed [...]

Improving Shoreline Forecasting Models with Multi-Objective Genetic Programming

Mahmoud Al Najar, Rafael Almar, Erwin W. J. Bergsma, et al.

Published: 2023-01-10
Subjects: Artificial Intelligence and Robotics, Climate, Environmental Engineering, Environmental Monitoring, Geomorphology, Hydrology, Numerical Analysis and Scientific Computing, Oceanography, Sedimentology, Statistical Models

Given the current context of climate change and increasing population densities at coastal zones, there is an increasing need to be able to predict the development of our coasts. Recent advances in artificial intelligence allow for automatic analysis of observational data. This work makes use of Symbolic Regression, a type of Machine Learning algorithm, to evolve interpretable shoreline [...]

Hillslope recovery after a major earthquake: InSAR-derived time series analyses to capture earthquake-legacy effect

Kun He, Luigi Lombardo, Ling Chang, et al.

Published: 2022-12-23
Subjects: Geomorphology, Geophysics and Seismology

Mountainous landscapes affected by strong earthquakes exhibit relatively higher landslide susceptibility in post-seismic periods compared to pre-seismic conditions. This concept is referred to as the earthquake legacy effect and is mainly examined by monitoring either rapid landslide occurrences or slow-moving landslides over time. To provide a more comprehensive understanding of the concept, [...]

Use of remote-sensing to quantify the distribution of progradation/erosion along a forced-regressive modern coastline: driving factors and impact on the stratigraphic record

Valentin Zuchuat, Miquel Poyatos-Moré, Bjorn Nyberg, et al.

Published: 2022-12-13
Subjects: Geomorphology, Sedimentology, Stratigraphy

The long-term development of ancient and modern coastal distributary distributive fluvial systems (DFSs) during periods of relative sea-level highstand or fall usually drives net-progradation of shorelines. Such systems often develop in periods of relative sea-level highstand or fall and typically record annual to millennial-scale deviations in coastal trajectories. A new continental dataset [...]

Modeling Earthquake-induced Landslide initiation using the Fibre Bundle Model

Yuanjing Chen, Bastian Van den Bout, Luigi Lombardo, et al.

Published: 2022-12-05
Subjects: Geology, Geomorphology, Geophysics and Seismology, Hydrology

Co-seismic landslides are triggered by strong ground shaking in mountainous areas, resulting in threats to human activity and infrastructure. Methods for physically-based modelling of co-seismic landslide triggering play an important role in disaster prevention and mitigation. Current approaches, however, focus on direct and full failure of sloping rocks and soils, and do not cover the dynamics [...]

An interconnected palaeo-subglacial lake system in the central Barents Sea

Mariana Esteves, Denise Christina Rüther, Monica C.W. Winsborrow, et al.

Published: 2022-12-03
Subjects: Earth Sciences, Geology, Geomorphology, Glaciology, Sedimentology

Drainage of meltwater beneath an ice sheet influences ice-flow dynamics. To better predict ice sheet behaviour, it is crucial to understand subglacial hydrological processes. Subglacial lakes are important components of the subglacial hydrological system, with many observed and predicted at the beds of contemporary and palaeo-ice sheets. The technical and logistical challenges of studying [...]

Evolution of intraplate magmatism atop a mantle plume: geochemical and chronological analysis of Shawahit Basalt, Harrat Rahat, Saudi Arabia

Gareth G Roberts, Patrick Ball

Published: 2022-11-15
Subjects: Earth Sciences, Geology, Geomorphology, Geophysics and Seismology, Stratigraphy, Tectonics and Structure, Volcanology

Harrat Rahat is the largest volcanic  eld in Saudi Arabia and has been active from ~10 Ma to the present day. Due to its close proximity to important population centres, Harrat Rahat's recent eruptions, the Medinah lava flows (< 1.7 Ma), have been extensively studied to identify volcanic risk. However, the evolution of Harrat Rahat's most extensive and oldest lava flows, known collectively as the [...]

The unknown fate of macroplastic in mountain rivers

Maciej Liro, Tim van Emmerik, Anna Zielonka, et al.

Published: 2022-11-09
Subjects: Earth Sciences, Environmental Indicators and Impact Assessment, Environmental Monitoring, Geology, Geomorphology, Hydrology, Life Sciences, Natural Resources and Conservation, Sedimentology, Stratigraphy, Sustainability, Terrestrial and Aquatic Ecology, Water Resource Management

Mountain rivers are typically seen as relatively pristine ecosystems, supporting numerous goods (e.g., water resources) for human populations living not only in the mountain regions but also downstream from them. Recent evidence suggests, however, that mountain river valleys in populated areas can be substantially polluted by macroplastic (plastic item > 5 mm). It is, however, unknown how [...]

Deep Learning-Based Super-Resolution of Digital Elevation Models in Data Poor Regions.

Ashok Dahal, Bastian Van den Bout, Cees J. van Westen, et al.

Published: 2022-10-29
Subjects: Artificial Intelligence and Robotics, Computer Engineering, Geomorphology

In order to develop reliable models, the geoscientific community requires high-resolution data sets. However, the collection of such data is a persistent challenge due to the limitations of resources. The concept of super-resolution, a method from the field of machine learning, can be used to predict a high-resolution version of a low-resolution dataset to improve usability in geoscientific [...]

Phanerozoic cooling events in the continental rims of the Central Atlantic Ocean.

Rémi Charton, Rémi Leprêtre

Published: 2022-10-28
Subjects: Geology, Geomorphology, Sedimentology, Tectonics and Structure

In this review, we have digitized and georeferenced over 7000 Low-Temperature Thermochronology (LTT) data points and 750 Time-Temperature Modelling (TTM) results from 252 published works. The study area includes the continental crusts adjacent to the rifted margins (~Late Triassic to Early Jurassic) of the Central Atlantic Ocean and its direct neighbours. Our main intention is to map out the [...]

Short Communication: The Wasserstein distance as a dissimilarity metric for comparing detrital age spectra, and other geological distributions

Alex George Lipp, Pieter Vermeesch

Published: 2022-10-26
Subjects: Earth Sciences, Environmental Sciences, Geochemistry, Geology, Geomorphology, Stratigraphy, Tectonics and Structure

Distributional data such as detrital age populations or grain size distributions are common in the geological sciences. As analytical techniques become more sophisticated, increasingly large amounts of distributional data are being gathered. These advances require quantitative and objective methods, such as multidimensional scaling (MDS), to analyse large numbers of samples. Crucial to such [...]

Impact-based probabilistic modeling of hydro-morphological processes in China (1985-2015)

Nan Wang, Weiming Cheng, Hongyan Zhang, et al.

Published: 2022-10-26
Subjects: Geomorphology

Hydro-morphological processes (HMP, any natural phenomenon contained within the spectrum defined between debris flows and flash floods) pose a relevant threat to infrastructure, urban and rural settlements and to lives in general. This has been widely observed in recent years and will likely become worse as climate change will influence the spatio-temporal pattern of precipitation events. The [...]

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