scholarly journals Full integration of geomorphological, geotechnical, A-DInSAR and damage data for detailed geometric-kinematic features of a slow-moving landslide in urban area

Landslides ◽  
2020 ◽  
Author(s):  
Dario Peduto ◽  
Mariantonia Santoro ◽  
Luigi Aceto ◽  
Luigi Borrelli ◽  
Giovanni Gullà
Keyword(s):  
Urban Areas ◽  
Structural Model ◽  
Risk Mitigation ◽  
Integrated Approach ◽  
Mitigation Strategies ◽  
Landslide Risk ◽  
Conditioning Factors ◽  
Source Data ◽  
Slow Moving ◽  
Set Up

Abstract The reconnaissance, mapping and analysis of kinematic features of slow-moving landslides evolving along medium-deep sliding surfaces in urban areas can be a difficult task due to the presence and interactions of/with anthropic structures/infrastructures and human activities that can conceal morphological signs of landslide activity. The paper presents an integrated approach to investigate the boundaries, type of movement, kinematics and interactions (in terms of damage severity distribution) with the built environment of a roto-translational slow-moving landslide affecting the historic centre of Lungro town (Calabria region, southern Italy). For this purpose, ancillary multi-source data (e.g. geological-geomorphological features and geotechnical properties of geomaterials), both conventional inclinometer monitoring and innovative non-invasive remote sensing (i.e. A-DInSAR) displacement data were jointly analyzed and interpreted to derive the A-DInSAR-geotechnical velocity (DGV) map of the landslide. This result was then cross-compared with detailed information available on the visible effects (i.e. crack pattern and width) on the exposed buildings along with possible conditioning factors to displacement evolution (i.e. remedial works, sub-services, etc.). The full integration of multi-source data available at the slope scale, by maximizing each contribution, provided a comprehensive outline of kinematic-geometric landslide features that were used to investigate the damage distribution and to detect, if any, anomalous locations of damage severity and relative possible causes. This knowledge can be used to manage landslide risk in the short term and, in particular, is propaedeutic to set up an advanced coupled geotechnical-structural model to simulate both the landslide displacements and the behavior of interacting buildings and, therefore, to implement appropriate risk mitigation strategies over medium/long period.

scholarly journals Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides

2021 ◽  
Vol 13 (22) ◽  
pp. 4579
Author(s):  
Dongdong Yang ◽  
Haijun Qiu ◽  
Yaru Zhu ◽  
Zijing Liu ◽  
Yanqian Pei ◽  
...  
Keyword(s):  
Time Series ◽  
Risk Mitigation ◽  
Landslide Risk ◽  
Significant Heterogeneity ◽  
Interferometric Synthetic Aperture Radar ◽  
Antecedent Precipitation ◽  
Surface Time ◽  
Field Investigations ◽  
Landslide Processes ◽  
Slow Moving

Landslide processes are a consequence of the interactions between their triggers and the surrounding environment. Understanding the differences in landslide movement processes and characteristics can provide new insights for landslide prevention and mitigation. Three adjacent landslides characterized by different movement processes were triggered from August to September in 2018 in Hualong County, China. A combination of surface and subsurface characteristics illustrated that Xiongwa (XW) landslides 1 and 2 have deformed several times and exhibit significant heterogeneity, whereas the Xiashitang (XST) landslide is a typical retrogressive landslide, and its material has moved downslope along a shear surface. Time-series Interferometric Synthetic Aperture Radar (InSAR) and Differential InSAR (DInSAR) techniques were used to detect the displacement processes of these three landslides. The pre-failure displacement signals of a slow-moving landslide (the XST landslide) can be clearly revealed by using time-series InSAR. However, these sudden landslides, which are a typical catastrophic natural hazard across the globe, are easily ignored by time-series InSAR. We confirmed that effective antecedent precipitation played an important role in the three landslides’ occurrence. The deformation of an existing landslide itself can also trigger new adjacent landslides in this study. These findings indicate that landslide early warnings are still a challenge since landslide processes and mechanisms are complicated. We need to learn to live with natural disasters, and more relevant detection and field investigations should be conducted for landslide risk mitigation.

scholarly journals Towards A Geo-Hydro-Mechanical Characterization of Landslide Classes: Preliminary Results

2020 ◽  
Vol 10 (22) ◽  
pp. 7960
Author(s):  
Federica Cotecchia ◽  
Francesca Santaloia ◽  
Vito Tagarelli
Keyword(s):  
Risk Mitigation ◽  
Mitigation Strategies ◽  
Slope Instability ◽  
Mitigation Measures ◽  
Economic Losses ◽  
Landslide Risk ◽  
Multidisciplinary Analysis ◽  
Risk Mitigation Strategies ◽  
Landslide Mechanisms

Nowadays, landslides still cause both deaths and heavy economic losses around the world, despite the development of risk mitigation measures, which are often not effective; this is mainly due to the lack of proper analyses of landslide mechanisms. As such, in order to achieve a decisive advancement for sustainable landslide risk management, our knowledge of the processes that generate landslide phenomena has to be broadened. This is possible only through a multidisciplinary analysis that covers the complexity of landslide mechanisms that is a fundamental part of the design of the mitigation measure. As such, this contribution applies the “stage-wise” methodology, which allows for geo-hydro-mechanical (GHM) interpretations of landslide processes, highlighting the importance of the synergy between geological-geomorphological analysis and hydro-mechanical modeling of the slope processes for successful interpretations of slope instability, the identification of the causes and the prediction of the evolution of the process over time. Two case studies are reported, showing how to apply GHM analyses of landslide mechanisms. After presenting the background methodology, this contribution proposes a research project aimed at the GHM characterization of landslides, soliciting the support of engineers in the selection of the most sustainable and effective mitigation strategies for different classes of landslides. This proposal is made on the assumption that only GHM classification of landslides can provide engineers with guidelines about instability processes which would be useful for the implementation of sustainable and effective landslide risk mitigation strategies.

scholarly journals Methodologies of Economic Measurement and Vulnerability Assessment for Application in Landslide Risk Analysis in a Highway Domain Strip: A Case Study in the Serra Pelada Region (Brazil)

2019 ◽  
Vol 11 (21) ◽  
pp. 6130 ◽  
Author(s):  
Ellen Felizardo Batista ◽  
Larissa De Brum Passini ◽  
Alessander Christopher Morales Kormann
Keyword(s):  
Vulnerability Assessment ◽  
Risk Mitigation ◽  
Indirect Costs ◽  
Direct Costs ◽  
Mitigation Strategies ◽  
Economic Losses ◽  
Landslide Risk ◽  
Total Cost ◽  
Landslide Occurrence ◽  
Serra Do Mar

Landslides are one of the main causes of death caused by disasters in the world. In this study, methodologies to measure landslide costs and to assess vulnerability are presented, with the objective of applying them to landslide risk analyses. The methodologies were applied in a region of Serra do Mar, which is crossed by a highway. The analyses and mappings were implemented in a Geographic Information System (GIS). Through the application of the methodology that considers both direct and indirect costs in the composition of total cost, it was established how much an m2 of a landslide would cost. The composition of direct costs encompassed the damages related to restoration or construction of the highways, infrastructures, unpaved roads, residential and commercial buildings, vegetal cover and agricultural areas. In indirect costs, the economic losses by victims, highway interdiction, and agricultural area profitability were calculated. In the methodology for vulnerability assessment, bodily injuries, structural damages, and functional disturbances resulted from landslides were analyzed. The risk assessment was performed through the junction of the maps of total cost, vulnerability and susceptibility. The results indicate that indirect costs were predominant in cost composition, corresponding to 87% of total costs, in comparison to 13% of the direct costs, stressing the importance of considering indirect costs in economic measurement studies. As a result, it is possible to conclude that studying landslide consequences as economic parameters supports the increasing need of performing risk quantitative analyses. It is also prudent to add that these studies help decision makers in projects of disaster risk mitigation strategies, by allowing the identification of regions with greater economic impacts in case of landslide occurrence.

scholarly journals How to Account for the Human Motion to Improve Flood Risk Assessment in Urban Areas

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1316 ◽  
Author(s):  
Gabriele Bernardini ◽  
Enrico Quagliarini
Keyword(s):  
Flood Risk ◽  
Urban Areas ◽  
Risk Mitigation ◽  
Simulation Models ◽  
Human Motion ◽  
Mitigation Strategies ◽  
Linear Regression Models ◽  
Evacuation Simulation ◽  
Simplified Approach ◽  
Safety Issues

Floods are critical disasters affecting urban areas and their users. Interactions with floodwater spreading and built environment features influence the users’ reaction to the emergency, especially during immediate disaster phases (i.e., evacuation). Recent studies tried to define simulation models to evaluate such exposure-related criticalities, assess individuals’ flood risk, and propose risk-mitigation strategies aimed at supporting the community’s proper response. Although they generally include safety issues (e.g., human body stability), such tools usually adopt a simplified approach to individuals’ motion representation in floodwaters, i.e., using input from non-specialized databases and models. This study provides general modelling approaches to estimate evacuation speed variations depending on individual’s excitement (walking, running), floodwaters depths and individuals’ features (age, gender, height, average speed on dry surfaces). The proposed models prefer a normalized evacuation speeds approach in respect of minimum motion constraint conditions to extend their applicability depending on the individuals’ characteristics. Speed data from previous experiments are organized using linear regression models. Results confirm how individuals’ speed reduces when depth and age increase. The most significant models are discussed to be implemented in evacuation simulation models to describe the evacuees’ motion in floodwaters with different confidence degree levels and then assess the community’s flood risk and risk-reduction strategies effectiveness.

scholarly journals GIS-Based Landslide Susceptibility Mapping for Land Use Planning and Risk Assessment

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 162
Author(s):  
Anna Roccati ◽  
Guido Paliaga ◽  
Fabio Luino ◽  
Francesco Faccini ◽  
Laura Turconi
Keyword(s):  
Risk Assessment ◽  
Land Use ◽  
Land Use Planning ◽  
Landslide Susceptibility ◽  
Risk Mitigation ◽  
Current Model ◽  
Susceptibility Mapping ◽  
Mitigation Strategies ◽  
Landslide Susceptibility Mapping ◽  
Landslide Risk

Landslide susceptibility mapping is essential for a suitable land use managing and risk assessment. In this work a GIS-based approach has been proposed to map landslide susceptibility in the Portofino promontory, a Mediterranean area that is periodically hit by intense rain events that induce often shallow landslides. Based on over 110 years landslides inventory and experts’ judgements, a semi-quantitative analytical hierarchy process (AHP) method has been applied to assess the role of nine landslide conditioning factors, which include both natural and anthropogenic elements. A separated subset of landslide data has been used to validate the map. Our findings reveal that areas where possible future landslides may occur are larger than those identified in the actual official map adopted in land use and risk management. The way the new map has been compiled seems more oriented towards the possible future landslide scenario, rather than weighting with higher importance the existing landslides as in the current model. The paper provides a useful decision support tool to implement risk mitigation strategies and to better apply land use planning. Allowing to modify factors in order to local features, the proposed methodology may be adopted in different conditions or geographical context featured by rainfall induced landslide risk.

scholarly journals Performance-Based Planning to Reduce Flooding Vulnerability Insights from the Case of Turin (North-West Italy)

2021 ◽  
Vol 13 (10) ◽  
pp. 5697
Author(s):  
Stefano Salata ◽  
Silvia Ronchi ◽  
Carolina Giaimo ◽  
Andrea Arcidiacono ◽  
Giulio Gabriele Pantaloni
Keyword(s):  
Urban Areas ◽  
Risk Mitigation ◽  
Climate Change Impacts ◽  
Mitigation Strategies ◽  
Decision Makers ◽  
Revision Process ◽  
North West ◽  
Run Off ◽  
Flooding Risk

Climate change impacts urban areas with greater frequency and exposes continental cities located on floodplains to extreme cloudbursts events. This scenario requires developing specific flooding vulnerability mitigation strategies that improve local knowledge of flood-prone areas at the urban scale and supersede the traditional hazard approach based on the classification of riverine buffers. Moreover, decision-makers need to adopt performance-based strategies for contrasting climate changes and increasing the resilience of the system. This research develops the recent Flooding Risk Mitigation model of InVEST (Integrated Evaluation of Ecosystem Services and Trade-off), where cloudburst vulnerability results from the soil’s hydrological conductivity. It is based on the assumption that during cloudburst events, all saturated soils have the potential for flooding, regardless of the distance to rivers or channels, causing damage and, in the worst cases, victims. The model’s output gives the run-off retention index evaluated in the catchment area of Turin (Italy) and its neighborhoods. We evaluated the outcome to gain specific insight into potential land use adaptation strategies. The index is the first experimental biophysical assessment developed in this area, and it could prove useful in the revision process of the general town plan underway.

scholarly journals Small-scale analysis to rank municipalities requiring slow-moving landslide risk mitigation measures: the case study of the Calabria region (southern Italy)

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Giovanni Gullà ◽  
Gianfranco Nicodemo ◽  
Settimio Ferlisi ◽  
Luigi Borrelli ◽  
Dario Peduto
Keyword(s):  
Southern Italy ◽  
Risk Mitigation ◽  
Mitigation Measures ◽  
Economic Losses ◽  
Phase Method ◽  
Small Scale ◽  
Landslide Risk ◽  
Calabria Region ◽  
Slow Moving ◽  
Gis Environment

AbstractThis paper proposes a three-phase method that combines multi-source (i.e. topographic, thematic, monitoring) input data in a GIS environment to rank—at small (1:250,000) scale—administrative units (e.g. municipalities) based on their exposure to slow-moving landslide risk within a selected area (e.g. a region) and, accordingly, detect those primarily requiring mitigation measures. The method is applied in the Calabria region (southern Italy) where several municipalities are widely affected by slow-moving landslides that systematically cause damage to buildings and infrastructure networks resulting in significant economic losses. The results obtained are validated based on the information gathered from previous studies carried out at large (municipal) scale. The work undertaken represents a first, fundamental step of a wider circular approach that can profitably facilitate the decision makers in addressing the issue of the slow-moving landslide risk mitigation in a sustainable way.

Benchmarking the relationship between supply chain risk mitigation strategies and practices: an integrated approach

2020 ◽  
Vol 27 (5) ◽  
pp. 1683-1715 ◽  
Author(s):  
Pradeep Kumar Tarei ◽  
Jitesh J. Thakkar ◽  
Barnali Nag
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Management Practices ◽  
Risk Mitigation ◽  
Real Life ◽  
Integrated Approach ◽  
Mitigation Strategies ◽  
Supply Chain Risk ◽  
Content Type ◽  
The Relationship

PurposeThe purpose of this paper is to explore the relationship between various risk management strategies and risk management practices in order to design and hence enact a suitable supply chain risk mitigation (RM) plan. Additionally, this study proposes a hierarchical framework to explain the mutual relationship between supply chain risk management (SCRM) practices and strategies by considering the underlying dimensions between them.Design/methodology/approachAn amalgamation of systematic literature analysis (SLA) and correspondence analysis (CA) has been performed to develop the conceptual framework. A real-life case of Indian petroleum supply chain has been considered to validate and explain the proposed model.FindingsThe results reveal three underlying dimensions, which associate the relationship between RM strategies. They are, risk adaptability of SC managers with a variance of 34.71%, followed by resource capability of the firm and the degree of sophistication of RM practices, with variances of 27.72 and 20.35%, respectively. Risk avoidance strategy comprises of practices such as supplier evaluation, technology adaption, flexible process and information security. On the other extreme, the risk sharing strategy includes revenue sharing, insurance, collaboration, public–private partnership and so on as essential RM practices.Research limitations/implicationsThe study not only focuses on the distinction between RM strategies and practices, which were used interchangeably in the prior literature, but also provides an association between the same by exploring the underlying dimensions. These underlying dimensions perform a crucial role while developing a risk management plan. This study explicitly focuses on the RM step of SCRM process. Pre and post risk mitigation phases of SCRM process, such as risk assessment and risk monitoring, are beyond the scope of the current research.Originality/valueThe paper develops a framework for mapping various RM strategies with their corresponding practices by considering the Indian petroleum supply chain as a viable case study. Various theoretical and business implications are derived in the context of the developing country.

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