☆ 4.7 Article

Hydro-meteorological landslide triggering thresholds based on artificial neural networks using observed precipitation and ERA5-Land soil moisture

LANDSLIDES (2023)

Related references

Note: Only part of the references are listed.

Article Geosciences, Multidisciplinary

Using principal component analysis to incorporate multi-layer soil moistureinformation in hydrometeorological thresholds for landslide prediction: aninvestigation based on ERA5-Land reanalysis data

Nunziarita Palazzolo et al.

Summary: For landslide early warning systems, using two-dimensional hydrometeorological thresholds based on multi-layered soil moisture information is a new and more accurate approach. The use of PCA and a piecewise linear equation allows for more precise determination of the threshold's shape, leading to higher accuracy in landslide triggering prediction. Test results in the Sicily region show that the proposed hydrometeorological thresholds outperform traditional rainfall-based thresholds in terms of true skill statistic (TSS).

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2023)

Add to Collection

Article Engineering, Civil

Do ERA5 and ERA5-land precipitation estimates outperform satellite-based precipitation products? A comprehensive comparison between state-of-the-art model-based and satellite-based precipitation products over mainland China

Jintao Xu et al.

Summary: The study found that satellite-based precipitation products generally outperform model-based products, but the latter perform better in high-latitude regions and winter. ERA5 and ERA5-Land show similar spatio-temporal patterns and have their own advantages. Satellite products perform best in subregions of subtropical and tropical monsoon climate.

JOURNAL OF HYDROLOGY (2022)

Add to Collection

Article Meteorology & Atmospheric Sciences

Assessing the use of ERA5-Land reanalysis and spatial interpolation methods for retrieving precipitation estimates at basin scale

Giuseppe Longo-Minnolo et al.

Summary: The availability of precipitation data is crucial for various applications in climate, hydrology, and agriculture. This study combined alternative data sources, such as interpolation methods and ERA5-Land reanalysis data, to improve spatially distributed precipitation estimates in the Simeto river basin in Eastern Sicily, Italy. The use of Natural Neighbour interpolation method resulted in the best monthly precipitation predictions. Radial Basis Functions and Inverse Distance Weighting provided higher accuracy for winter, autumn, spring, and summer seasons, respectively. The ERA5-Land precipitation estimates underestimated the actual precipitation, but the accuracy was significantly improved when corrected with local observations. The estimation errors were positively correlated with altitude variation in the study area. These findings highlight the importance of using alternative precipitation data sources and adjusting for local microclimatic conditions.

ATMOSPHERIC RESEARCH (2022)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Translational upper bound limit analysis of shallow landslides accounting for pore pressure effects

Wengui Huang et al.

Summary: Many rainfall-induced landslides are shallow. Simple approaches like the infinite slope model are often used for regional slope stability analysis or landslide hazard mapping. However, the infinite slope model underestimates safety factor due to the absence of boundary effects. This paper presents a new upper bound limit analysis (UBLA) method that incorporates a novel failure mechanism to capture the boundary effect. The new approach is validated using finite element limit analyses and shows better performance than the conventional log-spiral UBLA method. Based on the results, a new analytical shallow landslide model is developed, which retains simplicity but significantly improves accuracy, making it a promising alternative for routine analysis such as landslide hazard mapping.

COMPUTERS AND GEOTECHNICS (2022)

Add to Collection

Article Geosciences, Multidisciplinary

A first step towards a IoT-based local early warning system for an unsaturated slope in Norway

Luca Piciullo et al.

Summary: A framework for an IoT-based local landslide early warning system has been proposed, and the main phases of the framework, including monitoring, modeling, forecasting, and warning, have been applied in this study. The results show the importance of preliminary calibration, climate conditions, and vegetation in modeling the response of the slope, and the monitored VWC plays a crucial role in forecasting the safety factor.

NATURAL HAZARDS (2022)

Add to Collection

Article Geosciences, Multidisciplinary

Brief communication: Introducing rainfall thresholds for landslide triggering based on artificial neural networks

Pierpaolo Distefano et al.

Summary: In this study, the use of artificial neural networks (ANNs) is shown to enhance the performance of rainfall thresholds for landslide early warning. By incorporating additional variables like peak rainfall intensity, further improvements in performance were achieved. This could potentially encourage more research on utilizing ANNs for deriving landslide early warning thresholds.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2022)

Add to Collection

Article Computer Science, Information Systems

Predicting and Understanding Landslide Events With Explainable AI

Enrico Collini et al.

Summary: This paper focuses on short-term landslide prediction based on machine learning and utilizes real-time features as predictors. The introduction of explainable artificial intelligence techniques allows for the analysis of predictive model outputs and feature relevance. The method based on XGBoost achieves the best results in the validation using data from the Metropolitan City of Florence.

IEEE ACCESS (2022)

Add to Collection

Article Engineering, Geological

Definition of 3D rainfall thresholds to increase operative landslide early warning system performances

Ascanio Rosi et al.

Summary: This study examines the definition and effectiveness of 3D rainfall thresholds in a region in Northern Italy, presenting a new approach to warning systems that can significantly reduce false alarms by considering factors such as average rainfall amount in each alert zone. The results suggest promising perspectives for the development of regional warning systems.

LANDSLIDES (2021)

Add to Collection

Article Engineering, Geological

Exploring ERA5 reanalysis potentialities for supporting landslide investigations: a test case from Campania Region (Southern Italy)

Alfredo Reder et al.

Summary: The study demonstrates the potential use of the new generation reanalysis data, ERA5, in studying landslide events, showing its ability in reproducing rainfall histories, estimating soil moisture, and implementing landslide early warning systems in areas with limited field monitoring networks.

LANDSLIDES (2021)

Add to Collection

Article Engineering, Geological

Comparing methods for determining landslide early warning thresholds: potential use of non-triggering rainfall for locations with scarce landslide data availability

David J. Peres et al.

Summary: Thresholds for rainfall intensity-duration landslide-triggering can be determined through three types of rainfall event datasets: triggering, non-triggering, or both. Comparison of these methods based on statistical properties shows that using both triggering and non-triggering rainfall data is the most effective, providing a balance between correct predictions and robustness, though requiring a large sample size.

LANDSLIDES (2021)

Add to Collection

Article Environmental Sciences

HydroMet: A New Code for Automated Objective Optimization of Hydrometeorological Thresholds for Landslide Initiation

Jacob L. Conrad et al.

Summary: Landslide detection and warning systems are crucial for mitigating potential hazards, with recent advancements in hydrometeorological thresholds enhancing forecasting capabilities for shallow landslides.

WATER (2021)

Add to Collection

Article Geosciences, Multidisciplinary

Simulated or measured soil moisture: which one is adding more value to regional landslide early warning?

Adrian Wicki et al.

Summary: Including simulated soil wetness information in empirical landslide prediction models can improve the accuracy of early warning systems. However, the sensitivity of the model to boundary conditions and the distance dependence of information content were highlighted in this study. Compared to measurement-based forecasts, model-based forecasts performed better in representing triggering event conditions, but struggled to reproduce critical antecedent saturation conditions due to limitations in representing long-term water storage.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2021)

Add to Collection

Article Geosciences, Multidisciplinary

ERA5-Land: a state-of-the-art global reanalysis dataset for land applications

Joaquin Munoz-Sabater et al.

Summary: ERA5-Land is a global dataset produced by the European Centre for Medium-Range Weather Forecasts within the Copernicus Climate Change Service, covering the period from 1950 to the present. It provides enhanced resolution and consistency in describing the evolution of the water and energy cycles, with added value in hydrological and energy cycle analysis.

EARTH SYSTEM SCIENCE DATA (2021)

Add to Collection

Article Geosciences, Multidisciplinary

Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors

Hylke E. Beck et al.

Summary: This study evaluated the temporal dynamics of 18 state-of-the-art soil moisture products, finding that the use of the Soil Wetness Index smoothing filter improved performance for all satellite products. Among the single-sensor satellite products, the L-band-based SMAPL3ESWI performed the best; among the open-loop models, HBV-MSWEP showed the best performance; and among the models with satellite data assimilation, HBV-MSWEP+SMAPL3E performed the best.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2021)

Add to Collection

Article Engineering, Geological

Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach

Pasquale Marino et al.

LANDSLIDES (2020)

Add to Collection

Article Engineering, Geological

Assessing the potential of soil moisture measurements for regional landslide early warning

Adrian Wicki et al.

LANDSLIDES (2020)

Add to Collection

Article Environmental Sciences

The human cost of global warming: Deadly landslides and their triggers (1995-2014)

Ubydul Haque et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

Add to Collection

Article Environmental Sciences

Performance of the State-Of-The-Art Gridded Precipitation Products over Mountainous Terrain: A Regional Study over Austria

Ehsan Sharifi et al.

REMOTE SENSING (2019)

Add to Collection

Article Geosciences, Multidisciplinary

seNorge_2018, daily precipitation, and temperature datasets over Norway

Cristian Lussana et al.

EARTH SYSTEM SCIENCE DATA (2019)

Add to Collection

Article Geosciences, Multidisciplinary

Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS

Hylke E. Beck et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2019)

Add to Collection

Article Computer Science, Interdisciplinary Applications

A tool for the automatic calculation of rainfall thresholds for landslide occurrence

Massimo Melillo et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2018)

Add to Collection

Article Engineering, Geological

Integrating real-time subsurface hydrologic monitoring with empirical rainfall thresholds to improve landslide early warning

Benjamin B. Mirus et al.

LANDSLIDES (2018)

Add to Collection

Review Engineering, Geological

A review of the recent literature on rainfall thresholds for landslide occurrence

Samuele Segoni et al.

LANDSLIDES (2018)

Add to Collection

Article Environmental Sciences

Developing Hydro-Meteorological Thresholds for Shallow Landslide Initiation and Early Warning

Benjamin B. Mirus et al.

WATER (2018)

Add to Collection

Article Geosciences, Multidisciplinary

Global fatal landslide occurrence from 2004 to 2016

Melanie J. Froude et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2018)

Add to Collection

Article Geosciences, Multidisciplinary

Invited perspectives: Hydrological perspectives on precipitation intensity-duration thresholds for landslide initiation: proposing hydro-meteorological thresholds

Thom Bogaard et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2018)

Add to Collection

Article Geosciences, Multidisciplinary

Influence of uncertain identification of triggering rainfall on the assessment of landslide early warning thresholds

David J. Peres et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2018)

Add to Collection

Article Engineering, Geological

Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides

Luca Piciullo et al.

LANDSLIDES (2017)

Add to Collection

Article Geography, Physical

Rainfall thresholds for possible landslide occurrence in Italy

Silvia Peruccacci et al.

GEOMORPHOLOGY (2017)

Add to Collection

Article Engineering, Geological

Rainfall thresholds for the possible landslide occurrence in Sicily (Southern Italy) based on the automatic reconstruction of rainfall events

Massimo Melillo et al.

LANDSLIDES (2016)

Add to Collection

Article Geography, Physical

Calibration and validation of rainfall thresholds for shallow landslide forecasting in Sicily, southern Italy

S. L. Gariano et al.

GEOMORPHOLOGY (2015)

Add to Collection

Article Engineering, Geological

An algorithm for the objective reconstruction of rainfall events responsible for landslides

Massimo Melillo et al.

LANDSLIDES (2015)

Add to Collection

Article Geography, Physical

Lithological and seasonal control on rainfall thresholds for the possible initiation of landslides in central Italy

Silvia Peruccacci et al.

GEOMORPHOLOGY (2012)

Add to Collection

Review Geochemistry & Geophysics

UPSCALING SPARSE GROUND-BASED SOIL MOISTURE OBSERVATIONS FOR THE VALIDATION OF COARSE-RESOLUTION SATELLITE SOIL MOISTURE PRODUCTS

Wade T. Crow et al.

REVIEWS OF GEOPHYSICS (2012)

Add to Collection

Article Geosciences, Multidisciplinary

Hydrometeorological threshold conditions for debris flow initiation in Norway

N. K. Meyer et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2012)

Add to Collection

Article Multidisciplinary Sciences

Recent decline in the global land evapotranspiration trend due to limited moisture supply

Martin Jung et al.

NATURE (2010)

Add to Collection

Article Environmental Sciences

Failure characteristics of rainfall-induced shallow landslides in granitic terrains of Shikoku Island of Japan

Ranjan Kumar Dahal et al.

ENVIRONMENTAL GEOLOGY (2009)

Add to Collection

Article Meteorology & Atmospheric Sciences

Rainfall thresholds for the initiation of landslides in central and southern Europe

F. Guzzetti et al.

METEOROLOGY AND ATMOSPHERIC PHYSICS (2007)

Add to Collection

Article Computer Science, Artificial Intelligence

An introduction to ROC analysis

Tom Fawcett

PATTERN RECOGNITION LETTERS (2006)

Add to Collection

Article Computer Science, Artificial Intelligence

Revisiting squared-error and cross-entropy functions for training neural network classifiers

DM Kline et al.

NEURAL COMPUTING & APPLICATIONS (2005)

Add to Collection

Article Remote Sensing

Characterization of rainfall-induced landslides

FC Dai et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2003)

Add to Collection

Article Astronomy & Astrophysics

Multi-epoch VSOP observations of 1928+738

DW Murphy et al.

NEW ASTRONOMY REVIEWS (2003)

Add to Collection

Article Geochemistry & Geophysics

Applying probability determination to refine landslide-triggering rainfall thresholds using an empirical Antecedent Daily Rainfall Model

T Glade et al.

PURE AND APPLIED GEOPHYSICS (2000)

Add to Collection

© Peeref 2019-2024. All rights reserved.