Integrating multiple information sources for landslide hazard assessment: the case of Italy

Franceschini, Rachele; Rosi, Ascanio; Soldato, Matteo Del; Catani, Filippo

doi:10.1038/s41598-022-23577-z

Cited by 9 publications

(6 citation statements)

References 59 publications

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“…Within the three sub-basins of the Entella Stream, the Graveglia Stream catchment is probably the best known, not only because of its mining history related to its numerous manganese and sulfide mines but also because of its geological and geomorphological setting. [47], available on Regione Liguria cartographic service (WFS) of the Graveglia Basin and affected hamlets locations. DsGSD boundary plotted from the investigations reported in [48]; (d) Lithological map of the study area derived from 1:50,000 geological map "Sestri Levante" of CARG project [49,50], download from Regione Liguria cartographic service (WFS).…”

Section: Study Area 211 Geomorphological Settingsmentioning

confidence: 99%

Coexistence of a Marginal Mountain Community with Large-Scale and Low Kinematic Landslide: The Intensive Monitoring Approach

et al. 2023

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Mountain territories affected by natural hazards are vulnerable areas for settlements and inhabitants. Additionally, those areas are characterized by socio-economic marginality, further favoring their abandonment. The study area is located in Liguria (Italy), and a large, slow-moving phenomenon endangers the settlements in the region. Monitoring such phenomena requires the use of instruments capable of detecting yearly, millimetric displacements and, due to their size, the use of remote techniques which can provide deformation measurement of the entire extent of the phenomenon. The methodology proposed here couples long-term interferometric remote sensing data analysis with intensive in situ monitoring (inclinometer, piezometers and global navigation satellite systems). Furthermore, the inclinometric measurements were carried out with an experimental, robotized inclinometer. The aim is to frame the overall context of ground deformation, assure information for inhabitants, stakeholders and land-planners, and secure coexistence with the phenomenon. Remote sensing provided a time series of 28 years of deformation measurements while in situ instrumentations allowed, in the last years, a better understanding of the surficial and deep behavior of the phenomenon, confirming the satellite data. Additionally, the high-frequency monitoring allowed us to record acceleration after precipitation peaks. The proposed approach, including the experimental instruments, proved its viability and can be replicated in similar mountain contexts.

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Section: Study Area 211 Geomorphological Settingsmentioning

confidence: 99%

Coexistence of a Marginal Mountain Community with Large-Scale and Low Kinematic Landslide: The Intensive Monitoring Approach

et al. 2023

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“…Due to these meteorological conditions and the geomorphological setting, Liguria is one of the regions most affected by landslides in Italy (Guzzetti et al 2004;D'Amato Avanzi et al 2011;Cevasco et al 2013Cevasco et al , 2015Giordan et al 2017;Pepe et al 2019;Calvello and Pecoraro 2018;Franceschini et al 2022b).…”

Section: Test Site Descriptionmentioning

confidence: 99%

“…SECaGN is applied within Google News, as it considers national and local newspapers more comprehensively (Franceschini et al 2022b). Through publication date and places toponyms, each news item is dated and geolocated with a fully automatic procedure.…”

Section: Landslides Inventorymentioning

confidence: 99%

“…For model validation, an independent dataset has been collected from SECaGN, for the period from 2020 to 2021. It has been analyzed and manually classified through the method adopted by Franceschini et al (2022b). For the study area, 515 articles have been harvested, referring to rainfall-induced landslides with high spatial and temporal accuracy.…”

Section: Landslides Inventorymentioning

confidence: 99%

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Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation

Nocentini,

Medici,

Barbadori

et al. 2023

Landslides

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This study proposes an innovative approach to develop a regional-scale landslide forecasting model based on rainfall thresholds optimized for operational early warning. In particular, it addresses two main issues that usually hinder the operational implementation of this kind of models: (i) the excessive number of false alarms, resulting in civil protection system activation without any real need, and (ii) the validation procedure, usually performed over periods too short to guarantee model reliability. To overcome these limitations, several techniques for reducing the number of false alarms were applied in this study, and a multiple validation phase was conducted using data from different sources. An intensity-duration threshold system for each of the five alert zones composing the Liguria region (Italy) was identified using a semiautomatic procedure called MaCumBA, considering three levels of criticality: low, moderate, and high. The thresholds were developed using a landslide inventory collected from online newspapers by a data mining technique called SECaGN. This method was chosen to account for only those events that echo on the Internet and therefore impact society, ignoring landslides occurred in remote areas, not of interest for civil protection intervention, which would adversely affect the model performance because they would result in false alarms. A calibration phase was performed to minimize the impact of false alarms, allowing at least one false alarm per year over the moderate criticality level. In addition, an innovative approach to include antecedent rainfall as the third dimension of the intensity-duration thresholds was applied, generating a consistent reduction in false alarms. The results were validated through an independent landslide inventory and were compared with (i) the alert issued by the regional civil protection agency to observe the improvements achieved with the proposed model and to evaluate to what extent the proposed model is consistent with the assessments of the civil protection and (ii) a dataset of the national states of emergency to verify the suitability of the developed thresholds for alerting citizens. The thresholds obtained showed high predictive capabilities, confirming their suitability for implementation in an operational landslide early warning system.

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“…As researchers face the need for comprehensive methods to produce impact datasets, the use of text data for extracting information on natural hazard consequences is flourishing (de Brito et al, 2020;Franceschini et al, 2022;Hao & Wang, 2020;L. Li et al, 2021;Liu & Jensen, 2018).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive assessment of flood socioeconomic impacts through text-mining

Brito,

Sodoge,

Kreibich

et al. 2024

Preprint

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In July 2021, Germany experienced its costliest riverine floods in history, with over 189 fatalities and a staggering \euro33 billion in damages. Following this event, news outlets widely disseminated information on the flood’s aftermath. Here, we demonstrate how newspaper data can be instrumental in the assessment of flood socioeconomic impacts often overlooked by conventional methods. Using natural language processing tools on 14,888 unique newspaper articles, we estimate the impacts of the 2021 flood on various sectors and critical infrastructure, including water contamination, mental health, and tourism. Our results revealed severe and lasting impacts in the Ahr Valley, even months after the event. At the same time, we identified smaller-scale yet widespread impacts across Germany, which are typically overlooked by existing impact databases. Our approach advances current research by systematically examining indirect and intangible flood impacts over large areas. This underscores the value of leveraging complementary text data to provide a more comprehensive picture of flood impacts.

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Integrating multiple information sources for landslide hazard assessment: the case of Italy

Cited by 9 publications

References 59 publications

Coexistence of a Marginal Mountain Community with Large-Scale and Low Kinematic Landslide: The Intensive Monitoring Approach

Coexistence of a Marginal Mountain Community with Large-Scale and Low Kinematic Landslide: The Intensive Monitoring Approach

Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation

Comprehensive assessment of flood socioeconomic impacts through text-mining

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