Correlation between rainfall and landslides

Canuti, Paolo; Focardi, P.; Garzonio, Carlo Alberto

doi:10.1007/bf02594765

Cited by 64 publications

(28 citation statements)

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“…While this type of methodology might in all probability be less responsive in cases of landslides generally characterized by steady movements (e.g., soil creep, slow mudflows and earthflows), its use may rather be of particular advantage in the case of landslides with a behavior driven for the most part by rainfall intensity, like in the Montescaglioso case study. The dependence between water and slope movements surely recurs frequently in most of the Apennines and in many regions worldwide as well (Canuti et al 1985;Guzzetti et al 2002Guzzetti et al , 2007Martelloni et al 2012;Rosi et al 2012;Segoni et al 2014). On the other hand, a long time series is essential in order to determine representative mean and standard deviation of the incremental displacements.…”

Section: Discussionmentioning

confidence: 99%

A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study

2016

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On December 3, 2013, a large complex landslide was triggered SW of the town of Montescaglioso (Southern Italy), causing the destruction of roads, commercial buildings and private dwellings, as well as several direct and indirect economic losses. A set of interferometric ground measurements acquired by the Cosmo-SkyMed satellite constellation and processed by means of the SqueeSAR algorithm was used to study the pre-event slope displacements in the entire Montescaglioso municipal area. Data span from January 30, 2012, to December 2, 2013, and show average line-of-sight velocities of 1-10 mm/year in the slope sector ultimately affected by the collapse. In retrospect, a time series analysis of the radar targets was performed in order to identify and characterize all the slope instabilities in proximity of the town. This was based on the setup of characteristic thresholds of displacement. The procedure permitted to locate several areas which recurrently exceeded these previously established thresholds, in consistency with the amount of precipitation. In particular, the major source of potential hazard in the area was indeed found where the December 3, 2013, landslide eventually occurred. The results of this quick data processing technique were validated through comparison with two independently developed landslide maps. This simple method, which is not supposed to diminish the importance of geomorphologic field surveys, could improve both the accuracy and the update rate of landslide susceptibility maps.Not relying on arbitrary or empirically derived approaches, it has the advantage of computing statistically based thresholds specific for each time series. By indicating the slope sectors in higher need of deeper in situ investigation, more support could be provided to administrative bodies for the processes of risk assessment and management.

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Section: Discussionmentioning

confidence: 99%

A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study

2016

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“…According to Canuti et al (1985) and Crozier (1986), the impact of a particular rainy event decreases in time due to drainage processes. In order to consider that effect in rainfalllandslide analysis, Canuti et al (1985) developed an index for sites in Italy that accounts for the calibrated cumulative rainfall, where the most recent data are given a higher weight.…”

Section: Reconstruction Of Calibrated Antecedent Rainfallmentioning

confidence: 99%

“…In order to consider that effect in rainfalllandslide analysis, Canuti et al (1985) developed an index for sites in Italy that accounts for the calibrated cumulative rainfall, where the most recent data are given a higher weight. A similar approach was developed by Crozier (1986) and applied by Glade et al (2000) to sites in New Zealand, which accounts for the draining of early precipitation and accumulation of late rainfall.…”

Section: Reconstruction Of Calibrated Antecedent Rainfallmentioning

confidence: 99%

Shallow and deep landslides induced by rainfall in the Lisbon region (Portugal): assessment of relationships with the North Atlantic Oscillation

Zêzere

Trigo

Trigo³

2005

Nat. Hazards Earth Syst. Sci.

214

183

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Abstract. The aim of this study is to assess the impact of the North Atlantic Oscillation (NAO) on both the winter precipitation and the temporal occurrence of different landslide types in Portugal. The analysis is applied to five sample areas located just north of Lisbon, the capital of Portugal. These sites are particularly relevant because actual dates of most of the recent landslide events are known but also because the landslides occurred in a suburban area with growing urbanization pressure.Results show that the large inter-annual variability of winter precipitation observed in western Iberia, i.e. Portugal and parts of Spain, is largely modulated by the NAO mode. In particular, precipitation falling in Portugal between November and March presents a correlation coefficient of R=−0.66 with the NAO index. Precipitation distribution for the reference rain gauge in the study area reveals that the probability of a wet month to occur is much higher for low NAO index composites than for the corresponding high NAO index composite. It is shown that this control, exerted by NAO on the precipitation regime, is related to corresponding changes in the associated activity of North-Atlantic storm tracks that affect the western Iberia.Landslide activity in the study area is related to both intense, short duration precipitation events (1-15 days) and long-lasting rainfall episodes (1-3 months). The former events trigger shallow translational slides while the later episodes are usually associated with deeper and larger slope movements. This second group of landslides is shown to be statistically associated with the 3-month average of the NAO index.

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“…Although a strong correlation between heavy rain and landslides has long been established [56,57], the problem of landslide alert is much more complex since it also depends on geological processes. This paper describes a meteorological network emulator system that simulates data from thousand sensors and their integration to a mobile alert system application designed to end users.…”

Section: Discussionmentioning

confidence: 99%

Rain gauge simulator and first tests with a new mobile climate alert system in Brazil

Xavier¹,

Bonatti²,

Celaschi

2016

J Braz Comput Soc

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Background: Recent national developments in alert systems are the main motivation of this work. The aim is to provide an account on the development and first tests of a new Meteorological Alert System-MAS for mobile devices to deliver alert signals. The fundamentals encompass a summary description of the Brazilian government towards the installation and maintenance of a national wide climate sensor network where the new Meteorological Alert System can be integrated. The main challenges in installing and maintaining such a network in face of its continental scope are presented. Methods:The method describes the emulation of rain precipitation, which requires (a) the development of a data model for rain gauges (called DCP, or Data Collection Platforms) and (b) a data interface with the existing network. After testing several rain simulation models, the DCP system is converted into a signal server to provide parametric regulated data. The emulator facilitates the creation of pluviometric surrogate data and therefore the test of extreme situations. The MAS system is completed by the development of a front-end mobile application where the alerts are received by end users. We discuss classes and metrics used to evaluate the emulator performance and its integration to the alert system. We describe the DCP data structures, the rain simulator functions, and its interface with the MAS. Results: Rain gauge emulated data sets for several parametric conditions and test performance results of the mobile application integrated to the rain emulator are discussed. We present and discuss an interface to easily access the entire rain gauge network using mobile devices. Conclusions: Alert acquisition by the end user is a complex sequence of commands and integrated hardware involving a considerable amount of numerical work in weather forecasting. Consequently, modeling the information flow, and performing tests of a mobile application, justifies our initiative as a set-up stage prior to massive dissemination of an alert system fed by real data.

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Correlation between rainfall and landslides

Cited by 64 publications

References 1 publication

A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study

A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study

Shallow and deep landslides induced by rainfall in the Lisbon region (Portugal): assessment of relationships with the North Atlantic Oscillation

Rain gauge simulator and first tests with a new mobile climate alert system in Brazil

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