Articles | Volume 23, issue 3
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multi-event assessment of typhoon-triggered landslide susceptibility in the Philippines
Joshua N. Jones
AECOM, East Wing Plumer House, Plymouth, PL6 5DH, United Kingdom
College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, United Kingdom
Georgina L. Bennett
College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, United Kingdom
Faculty of Earth Sciences, University of Barcelona, 08028 Barcelona, Spain
Mark A. M. Matera
School of Civil, Environmental and Geological Engineering, Mapúa University, Manila, Philippines
Fibor J. Tan
School of Civil, Environmental and Geological Engineering, Mapúa University, Manila, Philippines
No articles found.
Alessandro Sgarabotto, Irene Manzella, Kyle Roskilly, Miles J. Clark, Georgie L. Bennett, Chunbo Luo, and Aldina M. A. Franco
Smart sensors have been installed in boulders embedded in landslides to monitor the movements and characterise their hazards. Here, we present laboratory experiments to investigate how to use smart sensors to describe the movements of a cobble down an inclined plane and transmit the recorded motion data via a wireless network. This study contributes to understanding how to make the best use of smart sensors to describe boulder motion and assess the practicalities of their use in field settings.
Solomon Hailu Gebrechorkos, Julian Leyland, Simon J. Dadson, Sagy Cohen, Louise Slater, Michel Wortmann, Philip J. Ashworth, Georgina L. Bennett, Richard Boothroyd, Hannah Cloke, Pauline Delorme, Helen Griffith, Richard Hardy, Laurence Hawker, Stuart McLelland, Jeffrey Neal, Andrew Nicholas, Andrew J. Tatem, Ellie Vahidi, Yinxue Liu, Justin Sheffield, Daniel R. Parsons, and Stephen E. Darby
Hydrol. Earth Syst. Sci. Discuss.,
Preprint under review for HESSShort summary
Our global precipitation data evaluation for hydrological modelling revealed variations in dataset accuracy. The Multi-Source Weighted-Ensemble Precipitation version 2.80 (MSWEP) followed by ERA5 performed well in some areas but had limitations in others. This informs dataset choice for river discharge modelling and highlights the need for improved global precipitation data quality, especially for daily and extreme values.
Clàudia Abancó, Georgina L. Bennett, Adrian J. Matthews, Mark Anthony M. Matera, and Fibor J. Tan
Nat. Hazards Earth Syst. Sci., 21, 1531–1550,Short summary
In 2018 Typhoon Mangkhut triggered thousands of landslides in the Itogon region (Philippines). An inventory of 1101 landslides revealed that landslides mostly occurred in slopes covered by wooded grassland in clayey materials, predominantly facing E-SE. Satellite rainfall and soil moisture data associated with Typhoon Mangkhut and the previous months in 2018 were analyzed. Results showed that landslides occurred during high-intensity rainfall that coincided with the highest soil moisture values.
Benedetta Dini, Georgina L. Bennett, Aldina M. A. Franco, Michael R. Z. Whitworth, Kristen L. Cook, Andreas Senn, and John M. Reynolds
Earth Surf. Dynam., 9, 295–315,Short summary
We use long-range smart sensors connected to a network based on the Internet of Things to explore the possibility of detecting hazardous boulder movements in real time. Prior to the 2019 monsoon season we inserted the devices in 23 boulders spread over debris flow channels and a landslide in northeastern Nepal. The data obtained in this pilot study show the potential of this technology to be used in remote hazard-prone areas in future early warning systems.
Noah J. Finnegan, Kiara N. Broudy, Alexander L. Nereson, Joshua J. Roering, Alexander L. Handwerger, and Georgina Bennett
Earth Surf. Dynam., 7, 879–894,Short summary
In some settings, landslides trigger valley blockages that impound huge volumes of sediment, often drastically changing river habitat and habitability. In other settings, landslides appear to have little effect on rivers. In this study, we explore what governs the different sensitivity of rivers to blocking from landslide debris. We accomplish this by comparing two sites in California with dramatic differences in blocking from otherwise similar slow-moving landslides.
C. Abancó, M. Hürlimann, and J. Moya
Nat. Hazards Earth Syst. Sci., 14, 929–943,
Related subject area
Landslides and Debris Flows HazardsA new analytical method for stability analysis of rock blocks with basal erosion in sub-horizontal strata by considering the eccentricity effectRockfall monitoring with a Doppler radar on an active rockslide complex in Brienz/Brinzauls (Switzerland)Landslide initiation thresholds in data-sparse regions: application to landslide early warning criteria in Sitka, Alaska, USALessons learnt from a rockfall time series analysis: data collection, statistical analysis, and applicationsThe concept of event-size-dependent exhaustion and its application to paraglacial rockslidesCoastal earthquake-induced landslide susceptibility during the 2016 Mw 7.8 Kaikōura earthquake, New ZealandCharacteristics of debris flows recorded in the Shenmu area of central Taiwan between 2004 and 2021Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth EngineThe role of thermokarst evolution in debris flow initiation (Hüttekar Rock Glacier, Austrian Alps)Accounting for the effect of forest and fragmentation in probabilistic rockfall hazardComprehensive landslide susceptibility map of Central AsiaThe influence of large woody debris on post-wildfire debris flow sediment storageStatistical modeling of sediment supply in torrent catchments of the northern French AlpsProbabilistic Hydrological Estimation of LandSlides (PHELS): global ensemble landslide hazard modellingSlope Unit Maker (SUMak): an efficient and parameter-free algorithm for delineating slope units to improve landslide susceptibility modelingA data-driven evaluation of post-fire landslide susceptibilityDeciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed modelsBrief communication: The northwest Himalaya towns slipping towards potential disasterDynamic response and breakage of trees subject to a landslide-induced air blastDebris-flow surges of a very active alpine torrent: a field databaseRainfall thresholds estimation for shallow landslides in Peru from gridded daily dataInstantaneous limit equilibrium back analyses of major rockslides triggered during the 2016–2017 central Italy seismic sequenceDeadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de JaneiroAntecedent rainfall as a critical factor for the triggering of debris flows in arid regionsSensitivity analysis of a built environment exposed to the synthetic monophasic viscous debris flow impacts with 3-D numerical simulationsSimulation analysis of 3D stability of a landslide with a locking segment: A case study of Tizicao landslide in Maoxian County, Southwest ChinaCharacteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo)Spatio-temporal analysis of slope-type debris flow activity in Horlachtal, Austria, based on orthophotos and lidar data since 1947Assessing the relationship between weather conditions and rockfall using terrestrial laser scanning to improve risk managementUsing principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis dataAssessing uncertainties in landslide susceptibility predictions in a changing environment (Styrian Basin, Austria)Brief communication: An autonomous UAV for catchment-wide monitoring of a debris flow torrentHow volcanic stratigraphy constrains headscarp collapse scenarios: the Samperre cliff case study (Martinique island, Lesser Antilles)Landslide susceptibility assessment in the rocky coast subsystem of Essaouira, MoroccoLandsifier v1.0: a Python library to estimate likely triggers of mapped landslidesTiming landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environmentsPotential of satellite-derived hydro-meteorological information for landslide initiation thresholds in RwandaEarthquake-induced landslides in Haiti: analysis of seismotectonic and possible climatic influencesPre-collapse motion of the February 2021 Chamoli rock–ice avalanche, Indian HimalayaPhysically based modeling of co-seismic landslide, debris flow, and flood cascadeFinite-hillslope analysis of landslides triggered by excess pore water pressure: the roles of atmospheric pressure and rainfall infiltration during typhoonsEstimating global landslide susceptibility and its uncertainty through ensemble modelingTerrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India)Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landslidingIntroducing SlideforMAP: a probabilistic finite slope approach for modelling shallow-landslide probability in forested situationsAugmentation of WRF-Hydro to simulate overland-flow- and streamflow-generated debris flow susceptibility in burn scarsWhat drives landslide risk? Disaggregating risk analyses, an example from the Franz Josef Glacier and Fox Glacier valleys, New ZealandGeographic information system models with fuzzy logic for susceptibility maps of debris flow using multiple types of parameters: a case study in Pinggu District of Beijing, ChinaSpatial assessment of probable recharge areas – investigating the hydrogeological controls of an active deep-seated gravitational slope deformationRainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes
Xushan Shi, Bo Chai, Juan Du, Wei Wang, and Bo Liu
Nat. Hazards Earth Syst. Sci., 23, 3425–3443,Short summary
A 3D stability analysis method is proposed for biased rockfall with external erosion. Four failure modes are considered according to rockfall evolution processes, including partial damage of underlying soft rock and overall failure of hard rock blocks. This method is validated with the biased rockfalls in the Sichuan Basin, China. The critical retreat ratio from low to moderate rockfall susceptibility is 0.33. This method could facilitate rockfall early identification and risk mitigation.
Marius Schneider, Nicolas Oestreicher, Thomas Ehrat, and Simon Loew
Nat. Hazards Earth Syst. Sci., 23, 3337–3354,Short summary
Rockfalls and their hazards are typically treated as statistical events based on rockfall catalogs, but only a few complete rockfall inventories are available today. Here, we present new results from a Doppler radar rockfall alarm system, which has operated since 2018 at a high frequency under all illumination and weather conditions at a site where frequent rockfall events threaten a village and road. The new data set is used to investigate rockfall triggers in an active rockslide complex.
Annette I. Patton, Lisa V. Luna, Joshua J. Roering, Aaron Jacobs, Oliver Korup, and Benjamin B. Mirus
Nat. Hazards Earth Syst. Sci., 23, 3261–3284,Short summary
Landslide warning systems often use statistical models to predict landslides based on rainfall. They are typically trained on large datasets with many landslide occurrences, but in rural areas large datasets may not exist. In this study, we evaluate which statistical model types are best suited to predicting landslides and demonstrate that even a small landslide inventory (five storms) can be used to train useful models for landslide early warning when non-landslide events are also included.
Sandra Melzner, Marco Conedera, Johannes Hübl, and Mauro Rossi
Nat. Hazards Earth Syst. Sci., 23, 3079–3093,Short summary
The estimation of the temporal frequency of the involved rockfall processes is an important part in hazard and risk assessments. Different methods can be used to collect and analyse rockfall data. From a statistical point of view, rockfall datasets are nearly always incomplete. Accurate data collection approaches and the application of statistical methods on existing rockfall data series as reported in this study should be better considered in rockfall hazard and risk assessments in the future.
Nat. Hazards Earth Syst. Sci., 23, 3051–3063,Short summary
Rockslides are a major hazard in mountainous regions. In formerly glaciated regions, the disposition mainly arises from oversteepened topography and decreases through time. However, little is known about this decrease and thus about the present-day hazard of huge, potentially catastrophic rockslides. This paper presents a new theoretical framework that explains the decrease in maximum rockslide size through time and predicts the present-day frequency of large rockslides for the European Alps.
Colin K. Bloom, Corinne Singeisen, Timothy Stahl, Andrew Howell, Chris Massey, and Dougal Mason
Nat. Hazards Earth Syst. Sci., 23, 2987–3013,Short summary
Landslides are often observed on coastlines following large earthquakes, but few studies have explored this occurrence. Here, statistical modelling of landslides triggered by the 2016 Kaikōura earthquake in New Zealand is used to investigate factors driving coastal earthquake-induced landslides. Geology, steep slopes, and shaking intensity are good predictors of landslides from the Kaikōura event. Steeper slopes close to the coast provide the best explanation for a high landslide density.
Nat. Hazards Earth Syst. Sci., 23, 2649–2662,Short summary
Debris flows are common hazards in Taiwan, and debris-flow early warning is important for disaster responses. The rainfall thresholds of debris flows are analyzed and determined in terms of rainfall intensity, accumulated rainfall, and rainfall duration, based on case histories in Taiwan. These thresholds are useful for disaster management, and the cases in Taiwan are useful for global debris-flow databases.
Davide Notti, Martina Cignetti, Danilo Godone, and Daniele Giordan
Nat. Hazards Earth Syst. Sci., 23, 2625–2648,Short summary
We developed a cost-effective and user-friendly approach to map shallow landslides using free satellite data. Our methodology involves analysing the pre- and post-event NDVI variation to semi-automatically detect areas potentially affected by shallow landslides (PLs). Additionally, we have created Google Earth Engine scripts to rapidly compute NDVI differences and time series of affected areas. Datasets and codes are stored in an open data repository for improvement by the scientific community.
Simon Seelig, Thomas Wagner, Karl Krainer, Michael Avian, Marc Olefs, Klaus Haslinger, and Gerfried Winkler
Nat. Hazards Earth Syst. Sci., 23, 2547–2568,Short summary
A rapid sequence of cascading events involving thermokarst lake outburst, rock glacier front failure, debris flow development, and river blockage hit an alpine valley in Austria during summer 2019. We analyze the environmental conditions initiating the process chain and identify the rapid evolution of a thermokarst channel network as the main driver. Our results highlight the need to account for permafrost degradation in debris flow hazard assessment studies.
Camilla Lanfranconi, Paolo Frattini, Gianluca Sala, Giuseppe Dattola, Davide Bertolo, Juanjuan Sun, and Giovanni Battista Crosta
Nat. Hazards Earth Syst. Sci., 23, 2349–2363,Short summary
This paper presents a study on rockfall dynamics and hazard, examining the impact of the presence of trees along slope and block fragmentation. We compared rockfall simulations that explicitly model the presence of trees and fragmentation with a classical approach that accounts for these phenomena in model parameters (both the hazard and the kinetic energy change). We also used a non-parametric probabilistic rockfall hazard analysis method for hazard mapping.
Ascanio Rosi, William Frodella, Nicola Nocentini, Francesco Caleca, Hans Balder Havenith, Alexander Strom, Mirzo Saidov, Gany Amirgalievich Bimurzaev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 23, 2229–2250,Short summary
This work was carried out within the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) project and is focused on the first landslide susceptibility analysis at a regional scale for Central Asia. The most detailed available landslide inventories were implemented in a random forest model. The final aim was to provide a useful tool for reduction strategies to landslide scientists, practitioners, and administrators.
Francis K. Rengers, Luke A. McGuire, Katherine R. Barnhart, Ann M. Youberg, Daniel Cadol, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 23, 2075–2088,Short summary
Debris flows often occur after wildfires. These debris flows move water, sediment, and wood. The wood can get stuck in channels, creating a dam that holds boulders, cobbles, sand, and muddy material. We investigated how the channel width and wood length influenced how much sediment is stored. We also used a series of equations to back calculate the debris flow speed using the breaking threshold of wood. These data will help improve models and provide insight into future field investigations.
Maxime Morel, Guillaume Piton, Damien Kuss, Guillaume Evin, and Caroline Le Bouteiller
Nat. Hazards Earth Syst. Sci., 23, 1769–1787,Short summary
In mountain catchments, damage during floods is generally primarily driven by the supply of a massive amount of sediment. Predicting how much sediment can be delivered by frequent and infrequent events is thus important in hazard studies. This paper uses data gathered during the maintenance operation of about 100 debris retention basins to build simple equations aiming at predicting sediment supply from simple parameters describing the upstream catchment.
Anne Felsberg, Zdenko Heyvaert, Jean Poesen, Thomas Stanley, and Gabriëlle J. M. De Lannoy
The Probabilistic Hydrological Estimation of LandSlides (PHELS) model combines ensembles of landslide susceptibility and of hydrological predictor variables to provide daily, global ensembles of hazard for hydrologically-triggered landslides. Testing different hydrological predictors showed that the combination of rainfall and soil moisture performed best, with the least amount of missed and false alarms. The ensemble approach moreover allowed to estimate the associated prediction uncertainty.
Jacob B. Woodard, Benjamin B. Mirus, Nathan J. Wood, Kate E. Allstadt, Benjamin A. Leshchinsky, and Matthew M. Crawford
Nat. Hazards Earth Syst. Sci. Discuss.,
Revised manuscript accepted for NHESSShort summary
Dividing landscapes into representative hillslopes greatly improves predictions of landslide potential across landscapes but requires vast computing power. Here, we present a new computer program that can efficiently divide landscapes into meaningful slope units. The results of this work will allow an improved understanding of landslide potential across different landscapes and can ultimately help reduce the impacts of landslides worldwide.
Elsa S. Culler, Ben Livneh, Balaji Rajagopalan, and Kristy F. Tiampo
Nat. Hazards Earth Syst. Sci., 23, 1631–1652,Short summary
Landslides have often been observed in the aftermath of wildfires. This study explores regional patterns in the rainfall that caused landslides both after fires and in unburned locations. In general, landslides that occur after fires are triggered by less rainfall, confirming that fire helps to set the stage for landslides. However, there are regional differences in the ways in which fire impacts landslides, such as the size and direction of shifts in the seasonality of landslides after fires.
Stefan Steger, Mateo Moreno, Alice Crespi, Peter James Zellner, Stefano Luigi Gariano, Maria Teresa Brunetti, Massimo Melillo, Silvia Peruccacci, Francesco Marra, Robin Kohrs, Jason Goetz, Volkmar Mair, and Massimiliano Pittore
Nat. Hazards Earth Syst. Sci., 23, 1483–1506,Short summary
We present a novel data-driven modelling approach to determine season-specific critical precipitation conditions for landslide occurrence. It is shown that the amount of precipitation required to trigger a landslide in South Tyrol varies from season to season. In summer, a higher amount of preparatory precipitation is required to trigger a landslide, probably due to denser vegetation and higher temperatures. We derive dynamic thresholds that directly relate to hit rates and false-alarm rates.
Yaspal Sundriyal, Vipin Kumar, Neha Chauhan, Sameeksha Kaushik, Rahul Ranjan, and Mohit Kumar Punia
Nat. Hazards Earth Syst. Sci., 23, 1425–1431,Short summary
The NW Himalaya has been one of the most affected terrains of the Himalaya, subject to disastrous landslides. This article focuses on two towns (Joshimath and Bhatwari) of the NW Himalaya, which have been witnessing subsidence for decades. We used a slope stability simulation to determine the response of the hillslopes accommodating these towns under various loading conditions. We found that the maximum displacement in these hillslopes might reach up to 20–25 m.
Yu Zhuang, Aiguo Xing, Perry Bartelt, Muhammad Bilal, and Zhaowei Ding
Nat. Hazards Earth Syst. Sci., 23, 1257–1266,Short summary
Tree destruction is often used to back calculate the air blast impact region and to estimate the air blast power. Here we established a novel model to assess air blast power using tree destruction information. We find that the dynamic magnification effect makes the trees easier to damage by a landslide-induced air blast, but the large tree deformation would weaken the effect. Bending and overturning are two likely failure modes, which depend heavily on the properties of trees.
Suzanne Lapillonne, Firmin Fontaine, Frédéric Liebault, Vincent Richefeu, and Guillaume Piton
Nat. Hazards Earth Syst. Sci., 23, 1241–1256,Short summary
Debris flows are fast flows most often found in torrential watersheds. They are composed of two phases: a liquid phase which can be mud-like and a granular phase, including large boulders, transported along with the flow. Due to their destructive nature, accessing features of the flow, such as velocity and flow height, is difficult. We present a protocol to analyse debris flow data and results of the Réal torrent in France. These results will help experts in designing models.
Carlos Millán-Arancibia and Waldo Lavado-Casimiro
Nat. Hazards Earth Syst. Sci., 23, 1191–1206,Short summary
This study is the first approximation of regional rainfall thresholds for shallow landslide occurrence in Peru. This research was generated from a gridded precipitation data and landslide inventory. The analysis showed that the threshold based on the combination of mean daily intensity–duration variables gives the best results for separating rainfall events that generate landslides. Through this work the potential of thresholds for landslide monitoring at the regional scale is demonstrated.
Luca Verrucci, Giovanni Forte, Melania De Falco, Paolo Tommasi, Giuseppe Lanzo, Kevin W. Franke, and Antonio Santo
Nat. Hazards Earth Syst. Sci., 23, 1177–1190,Short summary
Stability analyses in static and seismic conditions were performed on four rockslides that occurred during the main shocks of the 2016–2017 central Italy seismic sequence. These results also indicate that specific structural features of the slope must carefully be accounted for in evaluating potential hazards on transportation infrastructures in mountainous regions.
Enner Alcântara, José A. Marengo, José Mantovani, Luciana R. Londe, Rachel Lau Yu San, Edward Park, Yunung Nina Lin, Jingyu Wang, Tatiana Mendes, Ana Paula Cunha, Luana Pampuch, Marcelo Seluchi, Silvio Simões, Luz Adriana Cuartas, Demerval Goncalves, Klécia Massi, Regina Alvalá, Osvaldo Moraes, Carlos Souza Filho, Rodolfo Mendes, and Carlos Nobre
Nat. Hazards Earth Syst. Sci., 23, 1157–1175,Short summary
The municipality of Petrópolis (approximately 305 687 inhabitants) is nestled in the mountains 68 km outside the city of Rio de Janeiro. On 15 February 2022, the city of Petrópolis in Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm). This resulted in flash floods and subsequent landslides that caused 231 fatalities, the deadliest landslide disaster recorded in Petrópolis. This work shows how the disaster was triggered.
Shalev Siman-Tov and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1079–1093,Short summary
Debris flows represent a threat to infrastructure and the population. In arid areas, they are observed when heavy rainfall hits steep slopes with sediments. Here, we use digital surface models and radar rainfall data to detect and characterize the triggering and non-triggering rainfall conditions. We find that rainfall intensity alone is insufficient to explain the triggering. We suggest that antecedent rainfall could represent a critical factor for debris flow triggering in arid regions.
Xun Huang, Zhijian Zhang, and Guoping Xiang
Nat. Hazards Earth Syst. Sci., 23, 871–889,Short summary
A sensitivity analysis on the building impact force resulting from the representative built environment parameters is executed through the FLOW-3D model. The surrounding buildings' properties, especially the azimuthal angle, have been confirmed to play significant roles in determining the peak impact forces. The single and combined effects of built environments are analyzed in detail. This will improve understanding of vulnerability assessment and migration design against debris flow hazards.
Yuntao Zhou, Xiaoyan Zhao, Guangze Zhang, Bernd Wünnemann, Jiajia Zhang, and Minghui Meng
We developed three rock bridge models to analyze 3D stability and deformation behaviors of the Tizicao landslide. We found that the CSM-HSP combines the advantages of the IRMM model in simulating the actual deformation of slopes with rock bridges and the modeling advantage of the JM model. The research results are helpful to choose an appropriate rock bridge model to simulate the 3D landslide stability and to reveal the influence laws of rock bridges on the 3D stability of landslides.
Jean-Claude Maki Mateso, Charles L. Bielders, Elise Monsieurs, Arthur Depicker, Benoît Smets, Théophile Tambala, Luc Bagalwa Mateso, and Olivier Dewitte
Nat. Hazards Earth Syst. Sci., 23, 643–666,Short summary
This research highlights the importance of human activities on the occurrence of landslides and the need to consider this context when studying hillslope instability patterns in regions under anthropogenic pressure. Also, this study highlights the importance of considering the timing of landslides and hence the added value of using historical information for compiling an inventory.
Jakob Rom, Florian Haas, Tobias Heckmann, Moritz Altmann, Fabian Fleischer, Camillo Ressl, Sarah Betz-Nutz, and Michael Becht
Nat. Hazards Earth Syst. Sci., 23, 601–622,Short summary
In this study, an area-wide slope-type debris flow record has been established for Horlachtal, Austria, since 1947 based on historical and recent remote sensing data. Spatial and temporal analyses show variations in debris flow activity in space and time in a high-alpine region. The results can contribute to a better understanding of past slope-type debris flow dynamics in the context of extreme precipitation events and their possible future development.
Tom Birien and Francis Gauthier
Nat. Hazards Earth Syst. Sci., 23, 343–360,Short summary
On highly fractured rockwalls such as those found in northern Gaspésie, most rockfalls are triggered by weather conditions. This study highlights that in winter, rockfall frequency is 12 times higher during a superficial thaw than during a cold period in which temperature remains below 0 °C. In summer, rockfall frequency is 22 times higher during a heavy rainfall event than during a mainly dry period. This knowledge could be used to implement a risk management strategy.
Nunziarita Palazzolo, David J. Peres, Enrico Creaco, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 23, 279–291,Short summary
We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering thresholds using multi-layered soil moisture data from ERA5-Land reanalysis. Comparison of thresholds based on single- and multi-layered soil moisture information provides a means to identify the significance of multi-layered data for landslide triggering in a region. In Sicily, the proposed approach yields thresholds with a higher performance than traditional precipitation-based ones (TSS = 0.71 vs. 0.50).
Raphael Knevels, Helene Petschko, Herwig Proske, Philip Leopold, Aditya N. Mishra, Douglas Maraun, and Alexander Brenning
Nat. Hazards Earth Syst. Sci., 23, 205–229,Short summary
In summer 2009 and 2014, rainfall events occurred in the Styrian Basin (Austria), triggering thousands of landslides. Landslide storylines help to show potential future changes under changing environmental conditions. The often neglected uncertainty quantification was the aim of this study. We found uncertainty arising from the landslide model to be of the same order as climate scenario uncertainty. Understanding the dimensions of uncertainty is crucial for allowing informed decision-making.
Fabian Walter, Elias Hodel, Erik S. Mannerfelt, Kristen Cook, Michael Dietze, Livia Estermann, Michaela Wenner, Daniel Farinotti, Martin Fengler, Lukas Hammerschmidt, Flavia Hänsli, Jacob Hirschberg, Brian McArdell, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 22, 4011–4018,Short summary
Debris flows are dangerous sediment–water mixtures in steep terrain. Their formation takes place in poorly accessible terrain where instrumentation cannot be installed. Here we propose to monitor such source terrain with an autonomous drone for mapping sediments which were left behind by debris flows or may contribute to future events. Short flight intervals elucidate changes of such sediments, providing important information for landscape evolution and the likelihood of future debris flows.
Marc Peruzzetto, Yoann Legendre, Aude Nachbaur, Thomas J. B. Dewez, Yannick Thiery, Clara Levy, and Benoit Vittecoq
Nat. Hazards Earth Syst. Sci., 22, 3973–3992,Short summary
Volcanic edifices result from successive construction and dismantling phases. Thus, the geological units forming volcanoes display complex geometries. We show that such geometries can be reconstructed thanks to aerial views, topographic surveys and photogrammetric models. In our case study of the Samperre cliff (Martinique, Lesser Antilles), it allows us to link destabilizations from a rocky cliff to the existence of a filled paleo-valley and estimate a potentially unstable volume.
Abdellah Khouz, Jorge Trindade, Sérgio C. Oliveira, Fatima El Bchari, Blaid Bougadir, Ricardo A. C. Garcia, and Mourad Jadoud
Nat. Hazards Earth Syst. Sci., 22, 3793–3814,Short summary
The aim of this study was to assess the landslide susceptibility of the rocky coast of Essaouira using the information value model. The resulting susceptibility maps could be used for both environmental protection and general planning of future development activities.
Kamal Rana, Nishant Malik, and Ugur Ozturk
Nat. Hazards Earth Syst. Sci., 22, 3751–3764,Short summary
The landslide hazard models assist in mitigating losses due to landslides. However, these models depend on landslide databases, which often have missing triggering information, rendering these databases unusable for landslide hazard models. In this work, we developed a Python library, Landsifier, consisting of three different methods to identify the triggers of landslides. These methods can classify landslide triggers with high accuracy using only a landslide polygon shapefile as an input.
Axel A. J. Deijns, Olivier Dewitte, Wim Thiery, Nicolas d'Oreye, Jean-Philippe Malet, and François Kervyn
Nat. Hazards Earth Syst. Sci., 22, 3679–3700,Short summary
Landslides and flash floods are rainfall-induced processes that often co-occur and interact, generally very quickly. In mountainous cloud-covered environments, determining when these processes occur remains challenging. We propose a regional methodology using open-access satellite radar images that allow for the timing of landslide and flash floods events, in the contrasting landscapes of tropical Africa, with an accuracy of up to a few days. The methodology shows potential for transferability.
Judith Uwihirwe, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 22, 3641–3661,Short summary
This study compared gauge-based and satellite-based precipitation products. Similarly, satellite- and hydrological model-derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 d rainfall from the NASA-GPM to be the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
Hans-Balder Havenith, Kelly Guerrier, Romy Schlögel, Anika Braun, Sophia Ulysse, Anne-Sophie Mreyen, Karl-Henry Victor, Newdeskarl Saint-Fleur, Léna Cauchie, Dominique Boisson, and Claude Prépetit
Nat. Hazards Earth Syst. Sci., 22, 3361–3384,Short summary
We present a new landslide inventory for the 2021, M 7.2, Haiti, earthquake. We compare characteristics of this inventory with those of the 2010 seismically induced landslides, highlighting the much larger total area of 2021 landslides. This fact could be related to the larger earthquake magnitude in 2021, to the more central location of the fault segment ruptured in 2021 with respect to coastal zones, and/or to possible climatic preconditioning of slope failures in the 2021 affected area.
Maximillian Van Wyk de Vries, Shashank Bhushan, Mylène Jacquemart, César Deschamps-Berger, Etienne Berthier, Simon Gascoin, David E. Shean, Dan H. Shugar, and Andreas Kääb
Nat. Hazards Earth Syst. Sci., 22, 3309–3327,Short summary
On 7 February 2021, a large rock–ice avalanche occurred in Chamoli, Indian Himalaya. The resulting debris flow swept down the nearby valley, leaving over 200 people dead or missing. We use a range of satellite datasets to investigate how the collapse area changed prior to collapse. We show that signs of instability were visible as early 5 years prior to collapse. However, it would likely not have been possible to predict the timing of the event from current satellite datasets.
Bastian van den Bout, Chenxiao Tang, Cees van Westen, and Victor Jetten
Nat. Hazards Earth Syst. Sci., 22, 3183–3209,Short summary
Natural hazards such as earthquakes, landslides, and flooding do not always occur as stand-alone events. After the 2008 Wenchuan earthquake, a co-seismic landslide blocked a stream in Hongchun. Two years later, a debris flow breached the material, blocked the Min River, and resulted in flooding of a small town. We developed a multi-process model that captures the full cascade. Despite input and process uncertainties, probability of flooding was high due to topography and trigger intensities.
Lucas Pelascini, Philippe Steer, Maxime Mouyen, and Laurent Longuevergne
Nat. Hazards Earth Syst. Sci., 22, 3125–3141,Short summary
Landslides represent a major natural hazard and are often triggered by typhoons. We present a new 2D model computing the respective role of rainfall infiltration, atmospheric depression and groundwater in slope stability during typhoons. The results show rainfall is the strongest factor of destabilisation. However, if the slope is fully saturated, near the toe of the slope or during the wet season, rainfall infiltration is limited and atmospheric pressure change can become the dominant factor.
Anne Felsberg, Jean Poesen, Michel Bechtold, Matthias Vanmaercke, and Gabriëlle J. M. De Lannoy
Nat. Hazards Earth Syst. Sci., 22, 3063–3082,Short summary
In this study we assessed global landslide susceptibility at the coarse 36 km spatial resolution of global satellite soil moisture observations to prepare for a subsequent combination of the two. Specifically, we focus therefore on the susceptibility of hydrologically triggered landslides. We introduce ensemble techniques, common in, for example, meteorology but not yet in the landslide community, to retrieve reliable estimates of the total prediction uncertainty.
Txomin Bornaetxea, Ivan Marchesini, Sumit Kumar, Rabisankar Karmakar, and Alessandro Mondini
Nat. Hazards Earth Syst. Sci., 22, 2929–2941,Short summary
One cannot know if there is a landslide or not in an area that one has not observed. This is an obvious statement, but when landslide inventories are obtained by field observation, this fact is seldom taken into account. Since fieldwork campaigns are often done following the roads, we present a methodology to estimate the visibility of the terrain from the roads, and we demonstrate that fieldwork-based inventories are underestimating landslide density in less visible areas.
Katy Burrows, Odin Marc, and Dominique Remy
Nat. Hazards Earth Syst. Sci., 22, 2637–2653,Short summary
The locations of triggered landslides following a rainfall event can be identified in optical satellite images. However cloud cover associated with the rainfall means that these images cannot be used to identify landslide timing. Timings of landslides triggered during long rainfall events are often unknown. Here we present methods of using Sentinel-1 satellite radar data, acquired every 12 d globally in all weather conditions, to better constrain the timings of rainfall-triggered landslides.
Feiko Bernard van Zadelhoff, Adel Albaba, Denis Cohen, Chris Phillips, Bettina Schaefli, Luuk Dorren, and Massimiliano Schwarz
Nat. Hazards Earth Syst. Sci., 22, 2611–2635,Short summary
Shallow landslides pose a risk to people, property and infrastructure. Assessment of this hazard and the impact of protective measures can reduce losses. We developed a model (SlideforMAP) that can assess the shallow-landslide risk on a regional scale for specific rainfall events. Trees are an effective and cheap protective measure on a regional scale. Our model can assess their hazard reduction down to the individual tree level.
Chuxuan Li, Alexander L. Handwerger, Jiali Wang, Wei Yu, Xiang Li, Noah J. Finnegan, Yingying Xie, Giuseppe Buscarnera, and Daniel E. Horton
Nat. Hazards Earth Syst. Sci., 22, 2317–2345,Short summary
In January 2021 a storm triggered numerous debris flows in a wildfire burn scar in California. We use a hydrologic model to assess debris flow susceptibility in pre-fire and postfire scenarios. Compared to pre-fire conditions, postfire conditions yield dramatic increases in peak water discharge, substantially increasing debris flow susceptibility. Our work highlights the hydrologic model's utility in investigating and potentially forecasting postfire debris flows at regional scales.
Saskia de Vilder, Chris Massey, Biljana Lukovic, Tony Taig, and Regine Morgenstern
Nat. Hazards Earth Syst. Sci., 22, 2289–2316,Short summary
This study calculates the fatality risk posed by landslides while visiting Franz Josef Glacier and Fox Glacier valleys, New Zealand, for nine different scenarios, where the variables of the risk equation were adjusted to determine the range in risk values and associated uncertainty. The results show that it is important to consider variable inputs that change through time, such as the increasing probability of an earthquake and the impact of climate change on landslide characteristics.
Yiwei Zhang, Jianping Chen, Qing Wang, Chun Tan, Yongchao Li, Xiaohui Sun, and Yang Li
Nat. Hazards Earth Syst. Sci., 22, 2239–2255,Short summary
The disaster prevention and mitigation of debris flow is a very important scientific problem. Our model is based on geographic information system (GIS), combined with grey relational, data-driven and fuzzy logic methods. Through our results, we believe that the streamlining of factors and scientific classification should attract attention from other researchers to optimize a model. We also propose a good perspective to make better use of the watershed feature parameters.
Jan Pfeiffer, Thomas Zieher, Jan Schmieder, Thom Bogaard, Martin Rutzinger, and Christoph Spötl
Nat. Hazards Earth Syst. Sci., 22, 2219–2237,Short summary
The activity of slow-moving deep-seated landslides is commonly governed by pore pressure variations within the shear zone. Groundwater recharge as a consequence of precipitation therefore is a process regulating the activity of landslides. In this context, we present a highly automated geo-statistical approach to spatially assess groundwater recharge controlling the velocity of a deep-seated landslide in Tyrol, Austria.
Ivo Fustos-Toribio, Nataly Manque-Roa, Daniel Vásquez Antipan, Mauricio Hermosilla Sotomayor, and Viviana Letelier Gonzalez
Nat. Hazards Earth Syst. Sci., 22, 2169–2183,Short summary
We develop for the first time a rainfall-induced landslide early warning system for the south of Chile. We used forecast precipitation values at different scales using mesoscale models to evaluate the probability of landslides using statistical models. We showed the feasibility of implementing these models in future, supporting stakeholders and decision-makers.
Abancó, C., Bennett, G. L., Matthews, A. J., Matera, M. A. M., and Tan, F. J.: The role of geomorphology, rainfall and soil moisture in the occurrence of landslides triggered by 2018 Typhoon Mangkhut in the Philippines, Nat. Hazards Earth Syst. Sci., 21, 1531–1550, https://doi.org/10.5194/nhess-21-1531-2021, 2021.
Balderama, O. F., Alejo, L. A., and Tongson, E.: Calibration, validation and application of CERES-Maize model for climate change impact assessment in Abuan Watershed, Isabela, Philippines, Climate, Disaster and Development Journal, 2.1, 11–20, https://doi.org/10.18783/cddj.v001.i02.a02, 2016.
Carating, R.: PHILIPPINES: Final Report on the Harmonized World Soil Database Project, DigitalSoilMap.Net Project, funded by the Institute of Soil Science Chinese Academy of Science, Nanjing, China, https://www.academia.edu/20867911/PHILIPPINES_Final_Report_on_the_Harmonized_World_Soil_Database_Project_DigitalSoilMap_Net_Project?auto=download (last access: 14 March 2023), 2013.
Crozier, M. J.: A proposed cell model for multiple-occurrence regional landslide events: Implications for landslide susceptibility mapping, Geomorphology, 295, 480–488, https://doi.org/10.1016/J.GEOMORPH.2017.07.032, 2017.
DENR-MGB: Geological Map of Municipality of Ilagan, Isabela, 1 : 90 000 Scale, Department of Environment and Natural Resources-Mines and Geosciences Bureau, Quezon City, Philippines, 1976.
DENR-MGB: Geological Map of Tumauini Quadrangle (1 : 10 000), Sheet 3371 I, Department of Environment and Natural Resources-Mines and Geosciences Bureau, Quezon City, Philippines, 1991a.
DENR-MGB: Geological Map of Ilagan Quadrangle (1 : 10 000), Sheet 3371 II, Department of Environment and Natural Resources-Mines and Geosciences Bureau, Quezon City, Philippines, 1991b.
DENR-MGB: Geological Map of Baguio City Quadrangle (1 V 50000), Sheet 3169 III, Department of Environment and Natural Resources-Mines and Geosciences Bureau, Quezon City, Philippines, 1995.
DENR-MGB: Geological Map of Sison Quadrangle, Sheet 3168 IV, Department of Environment and Natural Resources-Mines and Geosciences Bureau, Quezon City, Philippines, 2000.
Emberson, R., Kirschbaum, D. B., Amatya, P., Tanyas, H., and Marc, O.: Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories, Nat. Hazards Earth Syst. Sci., 22, 1129–1149, https://doi.org/10.5194/nhess-22-1129-2022, 2022.
Friedman, J., Hastie, T., and Tibshirani, R.: Regularization paths for generalized linear models via coordinate descent, J. Stat. Softw., 33, 1–22, https://doi.org/10.18637/jss.v033.i01, 2010.
Friedman, J., Hastie, T., Tibshirani, R., Narasimhan, B., Tay, K., Simon, N., Qian, J., and Yang, J.: glmnet: Lasso and Elastic-Net Regularized Generalized Linear Models, CRAN [code], https://cran.r-project.org/web/packages/glmnet/ (last access: 12 March 2023), 2022.
Froude, M. J. and Petley, D. N.: Global fatal landslide occurrence from 2004 to 2016, Nat. Hazards Earth Syst. Sci., 18, 2161–2181, https://doi.org/10.5194/nhess-18-2161-2018, 2018.
geoportal PH: geoportal PH Soil Type Layer, Geoportal Philippines [data set], https://www.geoportal.gov.ph/, last access: 12 March 2023.
Gorokhovich, Y. and Vustianiuk, A.: Implications of slope aspect for landslide risk assessment: A case study of Hurricane Maria in Puerto Rico in 2017, Geomorphology, 391, 107874, https://doi.org/10.1016/J.GEOMORPH.2021.107874, 2021.
Gorsevski, P. V., Gessler, P. E., Boll, J., Elliot, W. J., and Foltz, R. B.: Spatially and temporally distributed modeling of landslide susceptibility, Geomorphology, 80, 178–198, https://doi.org/10.1016/j.geomorph.2006.02.011, 2006.
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., and Townshend, J. R. G.: High-resolution global maps of 21st-century forest cover change, Science, 342, 850–853, 2013.
Hastie, T., Qian, J., and Tay, K.: An Introduction to glmnet, https://glmnet.stanford.edu/articles/glmnet.html (last access: 12 March 2023), 2021.
IFRC: DREF Final Report, Philippines: Typhoon Kammuri, International Federation of Red Cross and Red Crescent Societies, https://reliefweb.int/report/philippines/philippines-typhoon-kammuri-dref-final-report-mdrph037 (last access: 14 March 2023), 2020.
Javier, D. N. and Kumar, L.: FREQUENCY RATIO LANDSLIDE SUSCEPTIBILITY ESTIMATION IN A TROPICAL MOUNTAIN REGION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W8, 173–179, https://doi.org/10.5194/isprs-archives-XLII-3-W8-173-2019, 2019.
Jiang, S., Liu, S., Ren, L., Yong, B., Zhang, L., Wang, M, Lu, Y., and He, Y.: Hydrologic Evaluation of Six High Resolution Satellite Precipitation Products in Capturing Extreme Precipitation and Streamflow over a Medium-Sized Basin in China, Water, 10, 25, https://doi.org/10.3390/W10010025, 2017.
Jones, J. N., Boulton, S. J., Bennett, G. L., Stokes, M., and Whitworth, M. R. Z.: Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling, J. Geophys. Res.-Earth, 126, e2021JF006067, https://doi.org/10.1029/2021JF006067, 2021a.
Jones, J. N., Boulton, S. J., Bennett, G. L., Stokes, M., and Whitworth, M. R. Z.: 30-year record of Himalaya mass-wasting reveals landscape perturbations by extreme events, Nat. Commun., 12, 6701, https://doi.org/10.1038/s41467-021-26964-8, 2021b.
Kim, K. G., Emmanuel Q. Angeles, J., Lim, P. K. I., Buluran, J. S., and Tan, F. J.: Slope Stability Analysis as Applied to Rainfall-triggered Landslide in Itogon, Benguet Province, Philippines, 2021 IEEE Conference on Technologies for Sustainability, SusTech 2021, 22–24 April 2021, Irvine, CA, USA, IEEE, Institute of Electrical and Electronics Engineers, https://doi.org/10.1109/SUSTECH51236.2021.9467461, 2021.
Kirschbaum, D., Stanley, T., and Zhou, Y.: Spatial and temporal analysis of a global landslide catalog, Geomorphology, 249, 4–15, https://doi.org/10.1016/J.GEOMORPH.2015.03.016, 2015.
Lagmay, A. M. F. and Eco, R. N.: Shallow Landslide Hazard Mapping for Davao Oriental, Philippines Using a Deterministic GIS Model, in: Communicating Climate Change and Natural Hazard Risk and Cultivating Resilience: Case Studies for a Multidisciplinary Approach, edited by: Kontar, Y. Y., Springer, Cham, ISBN 978-3-319-20160-3, https://doi.org/10.1007/978-3-319-20161-0_9, 2016.
LeComte, D.: International Weather Events 2019: Historic Heat, Hurricanes, and Fires, Weatherwise, 73, 24–31, https://doi.org/10.1080/00431672.2020.1736467, 2020.
Lin, L., Lin, Q., and Wang, Y.: Landslide susceptibility mapping on a global scale using the method of logistic regression, Nat. Hazards Earth Syst. Sci., 17, 1411–1424, https://doi.org/10.5194/nhess-17-1411-2017, 2017.
Liou, Y. A. and Pandey, R. S.: Interactions between typhoons Parma and Melor (2009) in North West Pacific Ocean, Weather and Climate Extremes, 29, 100272, https://doi.org/10.1016/J.WACE.2020.100272, 2020.
Lombardo, L. and Mai, P. M.: Presenting logistic regression-based landslide susceptibility results, Eng. Geol., 244, 14–24, https://doi.org/10.1016/j.enggeo.2018.07.019, 2018.
Lombardo, L., Opitz, T., Ardizzone, F., Guzzetti, F., and Huser, R.: Space-time landslide predictive modelling, Earth-Sci. Rev., 209, 103318, https://doi.org/10.1016/j.earscirev.2020.103318, 2020.
Luzon, P. K., Montalbo, K., Galang, J., Sabado, J. M., Escape, C. M., Felix, R., and Lagmay, A. M. F.: Hazard mapping related to structurally controlled landslides in Southern Leyte, Philippines, Nat. Hazards Earth Syst. Sci., 16, 875–883, https://doi.org/10.5194/nhess-16-875-2016, 2016.
Marc, O. and Hovius, N.: Amalgamation in landslide maps: effects and automatic detection, Nat. Hazards Earth Syst. Sci., 15, 723–733, https://doi.org/10.5194/nhess-15-723-2015, 2015.
Marjanović, M.: Comparing the performance of different landslide susceptibility models in ROC space, in: Landslide Science and Practice: Landslide Inventory and Susceptibility and Hazard Zoning, edited by: Margottini, C., Canuti, P., and Sassa, K., Springer Science and Business Media Deutschland GmbH, 579–584, https://doi.org/10.1007/978-3-642-31325-7_76, 2013.
Meusburger, K. and Alewell, C.: On the influence of temporal change on the validity of landslide susceptibility maps, Nat. Hazards Earth Syst. Sci., 9, 1495–1507, https://doi.org/10.5194/nhess-9-1495-2009, 2009.
NDCC: Final Report on Tropical Storm Ondoy (Ketsana) and Typhoon Pepeng (Parma), National Disaster Coordinating Council, The Government of the Philippines, https://reliefweb.int/report/philippines/philippines-ndcc-update-final-report-tropical-storm-ondoy-and-typhoon-pepeng (last access: 14 March 2023), 2009.
NDRRMC: Situational Report No. 19 Regarding Response Actions and Effects of Typhoon “Tisoy” (i.n. Kammuri), National Disaster Coordinating Council, The Government of the Philippines, https://reliefweb.int/report/philippines/ndrrmc-update-situational-report-no-19-regarding-response-actions-and-effects (last access: 14 March 2023), 2019.
Niu, Y., Fang, J., Chen, R., Xia, Z., and Xu, H.: Network Modeling and Dynamic Mechanisms of Multi-Hazards – A Case Study of Typhoon Mangkhut, Water, 12, 2198, https://doi.org/10.3390/W12082198, 2020.
Nolasco-Javier, D. and Kumar, L.: Landslide Susceptibility Assessment Using Binary Logistic Regression in Northern Philippines, in: Understanding and Reducing Landslide Disaster Risk, edited by: Guzzetti, F., Mihalić Arbanas, S., Reichenbach, P., Sassa, K., Bobrowsky, P. T., and Takara, K., WLF 2020, ICL Contribution to Landslide Disaster Risk Reduction, Springer, Cham, ISBN 978-3-030-60226-0, https://doi.org/10.1007/978-3-030-60227-7_20, 2021.
Nolasco-Javier, D., Kumar, L., and Tengonciang, A. M. P.: Rapid appraisal of rainfall threshold and selected landslides in Baguio, Philippines, Nat. Hazards, 78, 1587–1607, https://doi.org/10.1007/s11069-015-1790-y, 2015.
Oh, H. J. and Lee, S.: Landslide susceptibility mapping on Panaon Island, Philippines using a geographic information system, Environ. Earth Sci., 62, 935–951, https://doi.org/10.1007/s12665-010-0579-2, 2011.
Ozturk, U., Saito, H., Matsushi, Y., Crisologo, I., and Schwanghart, W.: Can global rainfall estimates (satellite and reanalysis) aid landslide hindcasting?, Landslides, 18, 3119–3133, https://doi.org/10.1007/s10346-021-01689-3, 2021a.
Ozturk, U., Pittore, M., Behling, R., Roessner, S., Andreani, L., and Korup, O.: How robust are landslide susceptibility estimates?, Landslides, 18, 681–695, https://doi.org/10.1007/s10346-020-01485-5, 2021b.
PAGASA: DOST-PAGASA Annual Report on Philippine Tropical Cyclones, Philippine Atmospheric, Geophysical and Astronomical Services Administration, https://pubfiles.pagasa.dost.gov.ph/pagasaweb/files/tamss/weather/tcsummary/ARTC2018.pdf (last access: 12 March 2023), 2018.
PAGASA: Annual Report on Philippine Tropical Cyclones, Philippine Atmospheric, Geophysical and Astronomical Services Administration, https://pubfiles.pagasa.dost.gov.ph/pagasaweb/files/tamss/weather/tcsummary/ARTC2019_web.pdf (last access: 12 March 2023), 2019.
PAGASA: Climate Change in the Philippines, Philippine Atmospheric, Geophysical and Astronomical Services Administration, https://www.pagasa.dost.gov.ph/information/climate-change-in-the-philippines (last access: 12 March 2023), 2022.
Palau, R. M., Hürlimann, M., Berenguer, M., and Sempere-Torres, D.: Influence of the mapping unit for regional landslide early warning systems: comparison between pixels and polygons in Catalonia (NE Spain), Landslides, 17, 2067–2083, https://doi.org/10.1007/s10346-020-01425-3, 2020.
Pourghasemi, H. R., Teimoori Yansari, Z., Panagos, P., and Pradhan, B.: Analysis and evaluation of landslide susceptibility: a review on articles published during 2005–2016 (periods of 2005–2012 and 2013–2016), Arab. J. Geosci., 11, 1–12, https://doi.org/10.1007/s12517-018-3531-5, 2018.
Rabonza, M. L., Felix, R. P., Lagmay, A. M. F., Eco, R. N., Ortiz, I. J., ang Aquino, D. K.: Shallow landslide susceptibility mapping using high-resolution topography for areas devastated by super typhoon Haiyan, Landslides, 13, 201–210, 2015.
Reichenbach, P., Rossi, M., Malamud, B. D., Mihir, M., and Guzzetti, F.: A review of statistically-based landslide susceptibility models, Earth-Sci. Rev., 180, 60–91, https://doi.org/10.1016/j.earscirev.2018.03.001, 2018.
Samia, J., Temme, A., Bregt, A., Wallinga, J., Guzzetti, F., and Ardizzone, F.: Dynamic path-dependent landslide susceptibility modelling, Nat. Hazards Earth Syst. Sci., 20, 271–285, https://doi.org/10.5194/nhess-20-271-2020, 2020.
Sassa, K.: Foreword by Flavia Schlegel for the Journal of the International Consortium on Landslides, Landslides, 16, 1–1, https://doi.org/10.1007/S10346-018-1120-Z, 2018.
Schwanghart, W. and Scherler, D.: Short Communication: TopoToolbox 2 – MATLAB-based software for topographic analysis and modeling in Earth surface sciences, Earth Surf. Dynam., 2, 1–7, https://doi.org/10.5194/esurf-2-1-2014, 2014.
Sevieri, G. and Galasso, C.: Typhoon fragility analysis and climate change impact assessment of Filipino cultural heritage asset roofs, in: XI International Conference on Structural Dynamics, 23–26 November 2020, Athens, Greece, edited by: Papadrakakis, M., Fragiadakis, M., and Papadimitriou, C., 4763–4776, 2020.
Shimokawa, S., Iizuka, S., Kayahara, T., Suzuki, S., and Murakami, T.: Fujiwhara effect; the interaction between T0917 and T0918, Natural Disaster Research Report of the National Research Institute for Earth Science and Disaster Prevention, No. 45, 23–26, 2011.
Steger, S., Brenning, A., Bell, R., and Glade, T.: The propagation of inventory-based positional errors into statistical landslide susceptibility models, Nat. Hazards Earth Syst. Sci., 16, 2729–2745, https://doi.org/10.5194/nhess-16-2729-2016, 2016.
Steger, S., Brenning, A., Bell, R., and Glade, T.: The influence of systematically incomplete shallow landslide inventories on statistical susceptibility models and suggestions for improvements, Landslides, 14, 1767–1781, https://doi.org/10.1007/s10346-017-0820-0, 2017.
Steger, S., Mair, V., Kofler, C., Pittore, M., Zebisch, M., and Schneiderbauer, S.: Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects, Sci. Total Environ., 776, 145935, https://doi.org/10.1016/j.scitotenv.2021.145935, 2021.
Temme, A., Guzzetti, F., Samia, J., and Mirus, B. B.: The future of landslides' past – A framework for assessing consecutive landsliding systems, Landslides, 17, 1519–1528. https://doi.org/10.1007/s10346-020-01405-7, 2020.
Vakhshoori, V. and Zare, M.: Is the ROC curve a reliable tool to compare the validity of landslide susceptibility maps?, Geomatics, Natural Hazards and Risk, 9, 249–266, https://doi.org/10.1080/19475705.2018.1424043, 2018.
Yumul, G. P., Dimalanta, C. B., Servando, N. T., and Cruz, N. A.: Abnormal weather events in 2009, increased precipitation and disastrous impacts in the Philippines, Climatic Change, 118, 715–727, https://doi.org/10.1007/s10584-012-0661-8, 2013.
Zhu, Q., Xuan, W., Liu, L., and Xu, Y. P.: Evaluation and hydrological application of precipitation estimates derived from PERSIANN-CDR, TRMM 3B42V7, and NCEP-CFSR over humid regions in China, Hydrol. Process., 30, 3061–3083, https://doi.org/10.1002/hyp.10846, 2016.
Zuur, A. F., Ieno, E. N., and Elphick, C. S.: A protocol for data exploration to avoid common statistical problems, Methods Ecol. Evol., 1, 3–14, https://doi.org/10.1111/j.2041-210x.2009.00001.x, 2010.
We modelled where landslides occur in the Philippines using landslide data from three typhoon events in 2009, 2018, and 2019. These models show where landslides occurred within the landscape. By comparing the different models, we found that the 2019 landslides were occurring all across the landscape, whereas the 2009 and 2018 landslides were mostly occurring at specific slope angles and aspects. This shows that landslide susceptibility must be considered variable through space and time.
We modelled where landslides occur in the Philippines using landslide data from three typhoon...