To see the other types of publications on this topic, follow the link: Landslide protection.
Journal articles on the topic 'Landslide protection'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Landslide protection.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Slyusarenko, Yuriy, Volodymyr Tytarenko, Valerii Shuminskiy, and Yuriy Vynnykov. "Designing of buildings and structures at land sliding and slide hazardous segments of slopes." ACADEMIC JOURNAL Series: Industrial Machine Building, Civil Engineering 2, no. 51 (October 12, 2018): 124–31. http://dx.doi.org/10.26906/znp.2018.51.1303.
Full textAbstract:
The main document of the regulatory framework for the design of buildings and structures on landslide and landslide-prone areas is DBN.1.1-46:2017 «Engineering protection of territories, buildings and structures from landslides and landslides. The main provisions» and the state standard DSTU-N B V.1.1-37:2016, «Manual on engineering protection of territories, buildings and structures from landslides and landslips». In development of the provisions of this set of regulatory framework, a number of regulations and standards have been developed to ensure the construction of buildings and structures on landslide and landslide-prone areas, considering the complex geological and hydro geological conditions of the construction site.
2
Elena, LIBERATOSCIOLI, VAN WESTEN Cees J., and SOLDATI Mauro. "Assessment of landslide susceptibility for civil protection purposes by means of GIS and statistical analysis: lessons from the Province of Modena, Italy." Revista de Geomorfologie 19, no. 1 (December 29, 2017): 29–43. http://dx.doi.org/10.21094/rg.2017.009.
Full textAbstract:
This paper is focused on the analysis of landslide susceptibility for civil protection purposes. A methodology was developed and applied to support measures aiming at landslide risk mitigation. It is based on GIS and the Weight of Evidence (WofE) method, which was preferred among several other statistical approaches because it is suitable for large areas, easy to interpret and simple to program. The latter feature is important for implementing a GIS tool aimed to facilitate Civil Protection in the updating of susceptibility maps. An application of the methodology was performed in a mountainous and hilly area of the Northern Apennines (Italy) located in the Province of Modena where landslides are a critical issue in terms of civil protection due to the recurrent damages to buildings, roads and infrastructures. According to the Region Emilia-Romagna Landslide Inventory Map (RER LIM), shallow slides and earth flows are by far the most widespread mass movement types. Hence, the susceptibility assessment concerned these two types of movements. The choice of the training set, based on active landslides, took into account possible limitations of the input data. The predisposing factors were lithology, slope, curvature, Slope Position Index, aspect, land use, distance from roads. The validation was conducted through the PRC and SRC curves, and direct checking (comparison with past occurrences, multi-temporal orthophotos and field surveys). The resulting models predicted the location of landslides in an acceptable manner. One map for each type of landslides was produced and afterwards they were combined in a single document to improve their intelligibility in a civil protection framework.
3
Li, Song, Yi Bai, Yongjun Long, and Maoqiang Wang. "GIS-supported evaluation of landslide susceptibility in the karst mountainous area：A case study in Wudang, Guiyang." E3S Web of Conferences 143 (2020): 02032. http://dx.doi.org/10.1051/e3sconf/202014302032.
Full textAbstract:
Landslide is the main disaster in the mountainous area. Based on landslide information content models of remote sensing, the work used the aerial and space remote sensing of UltraCamXp WA, Beijing-1 and Landsat images in Wudang, Guiyang to obtain the relative relief, slope, curvature of bedding slope, LUCC, geology and TWI. Finally, we analyzed the spatial susceptibility in the research area. Results showed that there were 42, 56 and 46 potential landslide groups in the high, higher and medium risk regions. The controlling factors of landslides in Wudang, Guiyang refer to the precipitation and precipitation intensity. The densely-populated regions also have the high risk of landslide, and the risk of landslide generally decreases from cities to rural areas. Through the space prediction research of landslide disasters, it is expected to provide valuable protection for regional security and harmonious development, and then sustainable development of Guizhou Province.
4
Harrison, John Franklin, and Chih-Hua Chang. "Sustainable Management of a Mountain Community Vulnerable to Geohazards: A Case Study of Maolin District, Taiwan." Sustainability 11, no. 15 (July 30, 2019): 4107. http://dx.doi.org/10.3390/su11154107.
Full textAbstract:
This study investigates community-based landslide mitigation planning. The combination of a landslide susceptibility index (LSI) model, landslide inventory datasets, and field work is used to identify hazard-prone areas in Maolin District, Taiwan. Furthermore, to identify the challenges and opportunities affecting the sustainable development of mountain communities, a pilot survey was conducted in three such communities (Dona Village, Wanshan Village, and Maolin Village). The results reveal that there are two types of significant mass movement in such areas: debris avalanche and debris flow. The results also show that the LSI map and multi-temporal landslide inventory datasets correlate with landslide locations. Meander is identified as an important factor in landslide activity. The questionnaire results show that the residents of the study area lack awareness of and access to information related to landslide activity. Similarly, the local residents favor increased environmental protection, working within their community, and additional government spending in regard to managing geohazards. To increase the resilience of the community, an improved landslide susceptibility map is proposed based on the output of the results. Thus, this research improves upon the process of identifying, supporting, and bettering the management of communities prone to landslides.
5
Soma, Andang Suryana, and Tetsuya Kubota. "Landslide susceptibility map using certainty factor for hazard mitigation in mountainous areas of Ujung-loe watershed in South Sulawesi." Forest and Society 2, no. 1 (April 26, 2018): 79. http://dx.doi.org/10.24259/fs.v2i1.3594.
Full textAbstract:
This study aims to build a landslide susceptibility map (LSM) by using certainty factor (CF) models for mitigation of landslide hazards and mitigation for people who live near to the forest. In the study area, the mountainous area of the Ujung-loe watersheds of South Sulawesi, Indonesia, information on landslides were derived from aerial photography using time series data images from Google Earth Pro© from 2012 to 2016 and field surveys. The LSM was built by using a CF model with eleven causative factors. The results indicated that the causative factor with the highest impact on the probability of landslide occurrence is the class of change from dense vegetation to sparse vegetation (4-1), with CF value 0.95. The CF method proved to be an excellent method for producing a landslide susceptibility map for mitigation with an area under curve (AUC) success rate of 0.831, and AUC predictive rate 0.830 and 85.28% of landslides validation fell into the high to very high class. In conclusion, correlations between landslide occurrence with causative factors shows an overall highest LUC causative factor related to the class of change from dense vegetation to sparse vegetation, resulting in the highest probability of landslide occurrence. Thus, forest areas uses at these locations should prioritize maintaining dense vegetation and involving the community in protection measures to reduce the occurrence of landslide risk. LSM models that apply certainty factors can serve as guidelines for mitigation of people living in this area to pay attention to landslide hazards with high and very high landslide vulnerability and to be careful to avoid productive activities at those locations.
6
Lei, Xinxiang, Wei Chen, and Binh Thai Pham. "Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis." ISPRS International Journal of Geo-Information 9, no. 7 (July 17, 2020): 443. http://dx.doi.org/10.3390/ijgi9070443.
Full textAbstract:
The main purpose of this study was to apply the novel bivariate weights-of-evidence-based SysFor (SF) for landslide susceptibility mapping, and two machine learning techniques, namely the naïve Bayes (NB) and Radial basis function networks (RBFNetwork), as benchmark models. Firstly, by using aerial photos and geological field surveys, the 263 landslide locations in the study area were obtained. Next, the identified landslides were randomly classified according to the ratio of 70/30 to construct training data and validation models, respectively. Secondly, based on the landslide inventory map, combined with the geological and geomorphological characteristics of the study area, 14 affecting factors of the landslide were determined. The predictive ability of the selected factors was evaluated using the LSVM model. Using the WoE model, the relationship between landslides and affecting factors was analyzed by positive and negative correlation methods. The above three hybrid models were then used to map landslide susceptibility. Thirdly, the ROC curve and various statistical data (SE, 95% CI and MAE) were used to verify and compare the predictive power of the model. Compared with the other two models, the Sysfor model had a larger area under the curve (AUC) of 0.876 (training dataset) and 0.783 (validation dataset). Finally, by quantitatively comparing the susceptibility values of each pixel, the differences in spatial morphology of landslide susceptibility maps were compared, and the model was found to have limitations and effectiveness. The landslide susceptibility maps obtained by the three models are reasonable, and the landslide susceptibility maps generated by the SysFor model have the highest comprehensive performance. The results obtained in this paper can help local governments in land use planning, disaster reduction and environmental protection.
7
Batar, Amit Kumar, and Teiji Watanabe. "Landslide Susceptibility Mapping and Assessment Using Geospatial Platforms and Weights of Evidence (WoE) Method in the Indian Himalayan Region: Recent Developments, Gaps, and Future Directions." ISPRS International Journal of Geo-Information 10, no. 3 (February 27, 2021): 114. http://dx.doi.org/10.3390/ijgi10030114.
Full textAbstract:
The Himalayan region and hilly areas face severe challenges due to landslide occurrences during the rainy seasons in India, and the study area, i.e., the Rudraprayag district, is no exception. However, the landslide related database and research are still inadequate in these landslide-prone areas. The main purpose of this study is: (1) to prepare the multi-temporal landslide inventory map using geospatial platforms in the data-scarce environment; (2) to evaluate the landslide susceptibility map using weights of evidence (WoE) method in the Geographical Information System (GIS) environment at the district level; and (3) to provide a comprehensive understanding of recent developments, gaps, and future directions related to landslide inventory, susceptibility mapping, and risk assessment in the Indian context. Firstly, 293 landslides polygon were manually digitized using the BHUVAN (Indian earth observation visualization) and Google Earth® from 2011 to 2013. Secondly, a total of 14 landslide causative factors viz. geology, geomorphology, soil type, soil depth, slope angle, slope aspect, relative relief, distance to faults, distance to thrusts, distance to lineaments, distance to streams, distance to roads, land use/cover, and altitude zones were selected based on the previous study. Then, the WoE method was applied to assign the weights for each class of causative factors to obtain a landslide susceptibility map. Afterward, the final landslide susceptibility map was divided into five susceptibility classes (very high, high, medium, low, and very low classes). Later, the validation of the landslide susceptibility map was checked against randomly selected landslides using IDRISI SELVA 17.0 software. Our study results show that medium to very high landslide susceptibilities had occurred in the non-forest areas, mainly scrubland, pastureland, and barren land. The results show that medium to very high landslide susceptibilities areas are in the upper catchment areas of the Mandakini river and adjacent to the National Highways (107 and 07). The results also show that landslide susceptibility is high in high relative relief areas and shallow soil, near thrusts and faults, and on southeast, south, and west-facing steep slopes. The WoE method achieved a prediction accuracy of 85.7%, indicating good accuracy of the model. Thus, this landslide susceptibility map could help the local governments in landslide hazard mitigation, land use planning, and landscape protection.
8
Solsky, Stanislav V., and Sofya A. Bykovskaya. "Optimizing the landslide-prone slope stabilization." Vestnik MGSU, no. 10 (October 2019): 1258–71. http://dx.doi.org/10.22227/1997-0935.2019.10.1258-1271.
Full textAbstract:
Introduction. Nowadays, the study of landslide processes is one of the most intensive aspects of construction and maintenance of industrial and civil buildings and installations. The landslides violate the stability of foundations and entire complexes of installations, so the assessment of the stability of the slopes is the most important task before starting the construction. Currently, there is a large number of landslide classifications, which characterize the conditions of their formation, the history of geological development, their age, and structure. Normative documentation gives three ways of slope slump control: preventive, restricting, and liquidation ones. However, this source does not give systematic validity of the engineering solutions. The study sets the following tasks: to develop an algorithm for the optimal choice of rational slope strengthening in landslide construction conditions and to test it with a specific example.
Materials and methods. The study analyzed the publications on theoretical and practical experience in dealing with landslides as well as normative documents. Numerical simulation methods were used to calculate the slope stability when testing the algorithm.
Results. Using the introduced classification, the study presented an algorithm that makes it possible to choose a rational way of slope strengthening under landslide construction conditions. The concept of the algorithm allows step-by-step approximating parameters of a landslide-prone slope model to the real conditions, on the one hand, and selecting the most reasonable anti-landslide measures, on the other hand. The developed algorithm was tested on the territory of a large industrial complex situated on river overflood plain fringes. By applying the value engineering comparison of several slope stabilization variants, the research has taken the most optimal one of them for realization.
Conclusions. The study developed the author’s classification and algorithm for the selection of optimal design solutions to stabilize landslide-prone slopes or slants. Successful approbation of the algorithm confirmed its practical applicability. The algorithm allows choosing the most effective complex for protection against landslides.
9
Razakova, Maira, Alexandr Kuzmin, Igor Fedorov, Rustam Yergaliev, and Zharas Ainakulov. "Methods of calculating landslide volume using remote sensing data." E3S Web of Conferences 149 (2020): 02009. http://dx.doi.org/10.1051/e3sconf/202014902009.
Full textAbstract:
The paper considers the issues of calculating the volume of the landslide from remote sensing data. The main methods of obtaining information during research are field observations. The most important results of field studies are quantitative estimates, such as the volume of the embankment resulting from a landslide, morphometric indicators, etc. The study of a remote and remote object was carried out by remote methods using aerial photographs in the Ile Alatau foothills at 1,600 meters above sea level. The obtained materials from the mudflow survey will be useful in developing solutions to mitigate the effects of disasters and in the design of measures for engineering protection from landslides.
10
Mondini, Alessandro, Michele Santangelo, Margherita Rocchetti, Enrica Rossetto, Andrea Manconi, and Oriol Monserrat. "Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection." Remote Sensing 11, no. 7 (March 29, 2019): 760. http://dx.doi.org/10.3390/rs11070760.
Full textAbstract:
Despite landslides impact the society worldwide every day, landslide information is inhomogeneous and lacking. When landslides occur in remote areas or where the availability of optical images is rare due to cloud persistence, they might remain unknown, or unnoticed for long time, preventing studies and hampering civil protection operations. The unprecedented availability of SAR C-band images provided by the Sentinel-1 constellation offers the opportunity to propose new solutions to detect landslides events. In this work, we perform a systematic assessment of Sentinel-1 SAR C-band images acquired before and after known events. We present the results of a pilot study on 32 worldwide cases of rapid landslides entailing different types, sizes, slope expositions, as well as pre-existing land cover, triggering factors and climatic regimes. Results show that in about eighty-four percent of the cases, changes caused by landslides on SAR amplitudes are unambiguous, whereas only in about thirteen percent of the cases there is no evidence. On the other hand, the signal does not allow for a systematic use to produce inventories because only in 8 cases, a delineation of the landslide borders (i.e., mapping) can be manually attempted. In a few cases, cascade multi-hazard (e.g., floods caused by landslides) and evidences of extreme triggering factors (e.g., strong earthquakes or very rapid snow melting) were detected. The method promises to increase the availability of information on landslides at different spatial and temporal scales with benefits for event magnitude assessment during weather-related emergencies, model tuning, and landslide forecast model validation, in particular when accurate mapping is not required.
11
Tabbal, Diala, Marwa Saleh, and Hiba Bashir. "Geotechnical and Numerical analysis of Bcharreh Landslide stability." MATEC Web of Conferences 281 (2019): 02005. http://dx.doi.org/10.1051/matecconf/201928102005.
Full textAbstract:
The aim of this study is to shed light on a real stability problem within the region of Bcharreh located in North of Lebanon where roads have no protection against landslides. An attempt for landslide assessment that occurred in November 2016 is presented in order to analyse the different factors behind the landslide and find the trigger factor affecting the stability of the slope. The characterization of soil properties along the slope is done based on geotechnical investigation, and data collection. The first part of work consists of site inspection and geotechnical investigation followed by a series of laboratory tests to evaluate the mechanical properties constituting the slope, in addition to collection of topographical and hydrogeological data. The second part presents the numerical analysis where a finite element model simulating the slope conditions is generated using Plaxis 2D in order to reproduce the process of landslides, to assess slope stability and determine the overall factor of safety in both dry and wet conditions. The contribution of each causal factor in prompting soil movement is then demonstrated and explained.
12
Carabella, Miccadei, Paglia, and Sciarra. "Post-Wildfire Landslide Hazard Assessment: The Case of The 2017 Montagna Del Morrone Fire (Central Apennines, Italy)." Geosciences 9, no. 4 (April 16, 2019): 175. http://dx.doi.org/10.3390/geosciences9040175.
Full textAbstract:
This work focused on a post-wildfire landslide hazard assessment, applied to the 2017 Montagna del Morrone fire. This wildfire increased the possibility of landslides triggering, as confirmed by the occurrence of a debris flow, triggered by an intense, short duration rainfall event in August 2018. The study area was investigated through a detailed analysis incorporating morphometric analysis of the topography and hydrography and geomorphological field mapping, followed by the landslide hazard assessment. In detail, the analysis was performed following a heuristic or expert-based approach, integrated using GIS technology. This approach led to the identification of five instability factors. These factors were analyzed for the construction of thematic maps. Hence, each factor was evaluated by assigning appropriate expert-based ranks and weights and combined in a geomorphology-based matrix, that defines four landslide hazard classes (low, moderate, high, and very high). Moreover, the morphometric analysis allowed us to recognize basins prone to debris flows, which, in relevant literature, are those that show a Melton ratio of >0.6 and a watershed length of <2.7 km. Finally, all the collected data were mapped through a cartographic and weighted overlay process in order to realize a new zonation of landslide hazard for the study area, which can be used in civil protection warning systems for the occurrence of landslides in mountainous forested environments.
13
Bernardo, Ernesto, Rocco Palamara, and Rogers Boima. "UAV and Soft Computing Methodology for Monitoring Landslide Areas (Susceptibility to Landslides and Early Warning)." WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 17 (May 5, 2021): 490–501. http://dx.doi.org/10.37394/232015.2021.17.47.
Full textAbstract:
In this work, we created a map of the susceptibility to landslides in GIS environment using neural network, Analytical Hierarchy Process (AHP) multicriteria analysis method and fuzzy methodology, producing five categories (levels) of risk. Subsequently, starting from this map, we identified (fuzzy methodology) the areas of the road’s network most exposed to landslide risk also using remote sensing techniques (classification and segmentation techniques) overlapped on the street map. This system therefore provides us the level of attention that affects the transport infrastructure investigated (a higher level of attention corresponds to a higher level of landslide risk). Once the risk map for a large area was identified, we focused on local monitoring of a part of it automatically selected by the GIS. The monitoring of this area was carried out through an innovative system (made by us) that allows to monitor landslide risk areas and to study landslide phenomena through the use of Unmanned Aerial Vehicles (UAVs). Specifically, with this innovative solution, data are acquired thanks to an automated system of UAVs and wireless charging platforms (capable to acquired, to transmit and to store data); subsequently, the acquired data are stored automatically in a special platform that allows us to create the point cloud and 3D models of the investigated area (which in turn they are superimposed on the digital models created in previous monitoring), also allowing the creation of the land mass displacement’s sequence in a video. Finally, in relation to early warning, the system allows civil protection to be warned in the event of a landslide risk (start of new landslides or continuation of landslides that have already begun) which in this way will be able to warn the population also through social media.
14
Devoli, Graziella, Davide Tiranti, Roberto Cremonini, Monica Sund, and Søren Boje. "Comparison of landslide forecasting services in Piedmont (Italy) and Norway, illustrated by events in late spring 2013." Natural Hazards and Earth System Sciences 18, no. 5 (May 17, 2018): 1351–72. http://dx.doi.org/10.5194/nhess-18-1351-2018.
Full textAbstract:
Abstract. Only few countries operate systematically national and regional forecasting services for rainfall-induced landslides (i.e., debris flows, debris avalanches and shallow slides), among them Norway and Italy. In Norway, the Norwegian Water Resources and Energy Directorate (NVE) operates a landslide forecasting service at national level. In Italy, the Regional Agency for Environmental Protection, ARPA Piemonte, is responsible for issuing landslide warnings for the Piedmont region, located in northwestern Italy. A daily hazard assessment is performed, describing both expected awareness level and type of landslide hazard for a selected warning region. Both services provide regular landslide hazard assessments based on a combination of quantitative thresholds and daily rainfall forecasts together with qualitative expert analysis. Daily warning reports are published at http://www.arpa.piemonte.gov.it/rischinaturali and http://www.varsom.no, last access: 7 May 2018. In spring 2013, ARPA Piemonte and the NVE issued warnings for hydro-meteorological hazards due to the arrival of a deep and large low-pressure system, called herein Vb cyclone. This kind of weather system is known to produce the largest floods in Europe. Less known is that this weather pattern can trigger landslides as well. In this study, we present the experiences of NVE and ARPA Piemonte in the late spring of 2013. The Vb cyclone influenced weather throughout Europe over a long period, from the end of April until the beginning of June 2013. However, major affects were observed in the first half part of this period in Piedmont, while in Norway, major damage was reported from 15 May to 2 June 2013. Floods and landslides significantly damaged roads, railways, buildings and other infrastructure in both countries. This case study shows that large synoptic pattern can produce different natural hazards in different parts of Europe, from sandstorms at low latitudes, to flood and landslides when the system moves across the mountain regions. These secondary effects were effectively forecasted by the two landslide warning services, operating in different parts of Europe. The landslide risks were also properly communicated to the public some days in advance. This analysis has allowed the establishment of fruitful international collaboration between ARPA Piemonte and NVE and the future exchange of experiences, procedures and methods relating to similar events.
15
Rickli, Christian, Frank Graf, Peter Bebi, Alexander Bast, Bernard Loup, and Brian McArdell. "Schützt der Wald vor Rutschungen? Hinweise aus der WSL-Rutschungsdatenbank." Schweizerische Zeitschrift fur Forstwesen 170, no. 6 (December 1, 2019): 310–17. http://dx.doi.org/10.3188/szf.2019.0310.
Full textAbstract:
Does the forest provide protection from landslides? Evidence from the WSL Shallow Landslide Database During strong rainfall events, shallow landslides and debris avalanches (hillslope debris flows, or open-slope debris flows) are triggered and sometimes lead to considerable damage. Analysis of damage-causing events show that there are fewer landslides in forested areas compared to non-forested areas, which indicates the generally positive influence of forest vegetation on slope stability. However, these effects depend on the condition of the forest stand and quantification of the effects is difficult. Event documentation contributes to a better understanding of the relevant processes. The information obtained is not only important for the preparation of hazard maps, but also provides valuable insight for assessing the hazard protection provided by the forest. Data from the landslide database of the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) were used to evaluate the influence of the forest on slope stability. Currently, the database contains information on 734 landslides. Of these, 661 were included in the evaluation – 356 landslides in non-forested areas and 305 in forested areas. In areas with slope angles up to 38°, more landslides per unit area are observed in non-forested areas than in forested areas. In areas with steeper slope angles a stabilizing effect of the forest is no longer recognizable. Statistical analyses show that landslides in forested areas are smaller than in non-forested areas and are more frequent on steeper slopes. In general, the landslides become smaller with increasing slope. Multivariate analyses indicate a positive influence of the forest and also somewhat smaller landslides in well-developed forests. Negative effects are evident in non-forested areas and in areas with overly dense forests. In addition to illustrating the importance of the forest condition for slope stability, the paper also discusses how the forest condition can be described.
16
Manenti, Sauro, Andrea Amicarelli, Nunziarita Palazzolo, Massimiliano Bordoni, Enrico Creaco, and Claudia Meisina. "Post-Failure Dynamics of Rainfall-Induced Landslide in Oltrepò Pavese." Water 12, no. 9 (September 13, 2020): 2555. http://dx.doi.org/10.3390/w12092555.
Full textAbstract:
Prediction of landslide hazard risk at hill slope induced by intense rainfall requires the appropriate modeling of the interactions between soil and weather phenomena, leading to failure as well as a reliable prediction of post-failure dynamics. In the peculiar case of fast shallow landslides behaving like dense granular flows, a suitable modeling approach for large and rapid deformations is necessary to estimate potential related damage. The impact force exerted by the leading edge of the earth-flow on the downstream structure should be estimated for both damage prediction and design of effective protection measures. In this paper, a free open source 3D research code based on standard weakly compressible smoothed particle hydrodynamics (WCSPH) method is validated by modeling a full-scale rainfall-induced shallow landslide which occurred in Oltrepò Pavese (Northern Italy). The code allows resolving the vertical velocity gradients, potentially providing a more reliable representation of the landslide dynamics and impact force. Mechanical parameters are consistent with average soil characteristics, avoiding calibration analysis. The final landslide profile is compared with an experimental survey for model validation, showing good fit. Influence of uncertainties of geotechnical parameters on the landslide front velocity and impact force on the downstream wall is evaluated.
17
Terranova, O. G., S. L. Gariano, P. Iaquinta, and G. G. R. Iovine. "<sup>GA</sup><i>SAKe</i>: forecasting landslide activations by a genetic-algorithms based hydrological model." Geoscientific Model Development Discussions 8, no. 2 (February 11, 2015): 1225–91. http://dx.doi.org/10.5194/gmdd-8-1225-2015.
Full textAbstract:
Abstract. GASAKe is a new hydrological model aimed at forecasting the triggering of landslides. The model is based on genetic-algorithms and allows to obtaining thresholds of landslide activation from the set of historical occurrences and from the rainfall series. GASAKe can be applied to either single landslides or set of similar slope movements in a homogeneous environment. Calibration of the model is based on genetic-algorithms, and provides for families of optimal, discretized solutions (kernels) that maximize the fitness function. Starting from these latter, the corresponding mobility functions (i.e. the predictive tools) can be obtained through convolution with the rain series. The base time of the kernel is related to the magnitude of the considered slope movement, as well as to hydro-geological complexity of the site. Generally, smaller values are expected for shallow slope instabilities with respect to large-scale phenomena. Once validated, the model can be applied to estimate the timing of future landslide activations in the same study area, by employing recorded or forecasted rainfall series. Example of application of GASAKe to a medium-scale slope movement (the Uncino landslide at San Fili, in Calabria, Southern Italy) and to a set of shallow landslides (in the Sorrento Peninsula, Campania, Southern Italy) are discussed. In both cases, a successful calibration of the model has been achieved, despite unavoidable uncertainties concerning the dates of landslide occurrence. In particular, for the Sorrento Peninsula case, a fitness of 0.81 has been obtained by calibrating the model against 10 dates of landslide activation; in the Uncino case, a fitness of 1 (i.e. neither missing nor false alarms) has been achieved against 5 activations. As for temporal validation, the experiments performed by considering the extra dates of landslide activation have also proved satisfactory. In view of early-warning applications for civil protection purposes, the capability of the model to simulate the occurrences of the Uncino landslide has been tested by means of a progressive, self-adaptive procedure. Finally, a sensitivity analysis has been performed by taking into account the main parameters of the model. The obtained results are quite promising, given the high performance of the model obtained against different types of slope instabilities, characterized by several historical activations. Nevertheless, further refinements are still needed for applications to landslide risk mitigation within early-warning and decision-support systems.
18
Mokritskaya, T. P. "On different types, conditions, and factors of landslide risks in the city of Dnipro." Journal of Geology, Geography and Geoecology 28, no. 3 (October 7, 2019): 495–503. http://dx.doi.org/10.15421/111945.
Full textAbstract:
The paper represents the research results as for the factors of such dangerous geological phenomenon as landslides in terms of geological medium of the city of Dnipro. It is emphasized that there are certain geological, geomorphological, and hydrogeological conditions favouring the development of a medium for landslide formation. Irrespective of long-term study of that phenomenon, spatiotemporal prognosis is a complex scientific problem requiring application of innovative ideas and scientific statements concerning both separate components of a geological medium and rather complex natural and technogenic system. The paper analyzes conditions of the development of deep landslides within the territory of the city of Dnipro connected with a geological structure in a scope going beyond traditional scope of engineering and geological studies. Despite wide occurrence of landslide developments within the territory of the region, landslide of the Dnipro region are not singled out as a separate regional type. According to different estimations, general number of landslides is more than 144 within the city of Dnipro. The studies are based on numerous calculations of slope stability indicating the importance of the occurrence of Pre-Quaternary deposits as the factor favour- ing deep landslide formations. Basing upon the processing of the geological studies, cartographic modeling of the surfaces of certain levels, their thickness, and analysis of landslides grouping within the areas of singled-out territories have been performed. Maps of the surfaces of reddish-brown (N2-Q1) and grey-green (N1-S2) clays as well as deposits of Obukhivska (P2ob) and Mezhyhirska (P3 mž) suites, representing together the rock thickness corresponding to Kharkiv Stage (P2-3hr), have been developed. It has been proved that occurrence mode of clays at the base of loessial soils creates certain conditions for the development of landslides being different in their mechanisms (i.e. cutting, slipping, and squeezing). An example of certain calculations of slope stability is given confirming the important role of argillaceous rocks in the formation of the zone of changed soil condition and property. It has been proved that occur- rence mode of the rocks occurring lower than the depth of water erosion development should be studied thoroughly while designing landslide protection structures to obtain accurate model of the geological medium.
19
Sun, Bi Hong. "The Research on Causes of the Landslide from Typhoon in the Coastal Area of Wenzhou and its Protection Measures." Applied Mechanics and Materials 204-208 (October 2012): 2365–68. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.2365.
Full textAbstract:
Due to its special coastal soil condition and climatic and hydrological conditions, Wenzhou is prone to have landslides and other geologic hazards. According to the investigation about the soil and climate condition in Wenzhou and combining with the result of the survey, we analyzed the slope stability and concluded the main reason for how typhoon causes landslide in the coastal area of Wenzhou. Ultimately, we studied the suitable measures in dealing with slope protection and made a conclusion.
20
Durlevic, Uros. "Assessment of torrential flood and landslide susceptibility of terrain: Case study - Mlava River Basin (Serbia)." Glasnik Srpskog geografskog drustva 101, no. 1 (2021): 49–75. http://dx.doi.org/10.2298/gsgd2101049d.
Full textAbstract:
Torrential floods and landslides are frequent natural disasters in Serbia, but also in the Mlava River Basin. Due to the large number of settlements, the main goal of this research is to determine the locations that are most susceptible to torrential floods and landslides in the Mlava River Basin. Using geographic information systems (GIS), the first step is the analysis the susceptibility of the terrain to torrential floods using the Flash Flood Potential Index (FFPI) method. According to the obtained data, it was determined that 31.53% of the Mlava River Basin is susceptible, and 10.46% is very susceptible to torrential floods. The second step is the analysis of the susceptibility of the terrain to landslides, for which the statistical Probability method (PM) and the Landslide Susceptibility Index (LSI) were used. According to the results of the LSI index and PM method, 8.09% and 14.04% of the basin area is in the category of high and very high susceptibility to landslides. This paper represents a significant step towards a better understanding of unfavorable natural conditions in the Mlava River Basin, and the obtained results are applicable to numerous human activities in the research area (environmental protection, sustainable management of agricultural plots, protection of water and forest resources and ecosystems, etc.).
21
Terranova, O. G., S. L. Gariano, P. Iaquinta, and G. G. R. Iovine. "<sup>GA</sup><i>SAKe</i>: forecasting landslide activations by a genetic-algorithms-based hydrological model." Geoscientific Model Development 8, no. 7 (July 7, 2015): 1955–78. http://dx.doi.org/10.5194/gmd-8-1955-2015.
Full textAbstract:
Abstract. GASAKe is a new hydrological model aimed at forecasting the triggering of landslides. The model is based on genetic algorithms and allows one to obtain thresholds for the prediction of slope failures using dates of landslide activations and rainfall series. It can be applied to either single landslides or a set of similar slope movements in a homogeneous environment. Calibration of the model provides families of optimal, discretized solutions (kernels) that maximize the fitness function. Starting from the kernels, the corresponding mobility functions (i.e., the predictive tools) can be obtained through convolution with the rain series. The base time of the kernel is related to the magnitude of the considered slope movement, as well as to the hydro-geological complexity of the site. Generally, shorter base times are expected for shallow slope instabilities compared to larger-scale phenomena. Once validated, the model can be applied to estimate the timing of future landslide activations in the same study area, by employing measured or forecasted rainfall series. Examples of application of GASAKe to a medium-size slope movement (the Uncino landslide at San Fili, in Calabria, southern Italy) and to a set of shallow landslides (in the Sorrento Peninsula, Campania, southern Italy) are discussed. In both cases, a successful calibration of the model has been achieved, despite unavoidable uncertainties concerning the dates of occurrence of the slope movements. In particular, for the Sorrento Peninsula case, a fitness of 0.81 has been obtained by calibrating the model against 10 dates of landslide activation; in the Uncino case, a fitness of 1 (i.e., neither missing nor false alarms) has been achieved using five activations. As for temporal validation, the experiments performed by considering further dates of activation have also proved satisfactory. In view of early-warning applications for civil protection, the capability of the model to simulate the occurrences of the Uncino landslide has been tested by means of a progressive, self-adaptive procedure. Finally, a sensitivity analysis has been performed by taking into account the main parameters of the model. The obtained results are quite promising, given the high performance of the model against different types of slope instabilities characterized by several historical activations. Nevertheless, further refinements are still needed for application to landslide risk mitigation within early-warning and decision-support systems.
22
Malathi, V., and D. Tamilmani. "Assessment of Economic Viability of Engineering Structures as Landslide Protection Measures in Landslide Prone Zones." Asian Journal of Agricultural Extension, Economics & Sociology 20, no. 4 (January 10, 2017): 1–8. http://dx.doi.org/10.9734/ajaees/2017/37405.
Full text
23
Salbego, G., M. Floris, E. Busnardo, M. Toaldo, and R. Genevois. "Detailed and large-scale cost/benefit analyses of landslide prevention vs. post-event actions." Natural Hazards and Earth System Sciences 15, no. 11 (November 6, 2015): 2461–72. http://dx.doi.org/10.5194/nhess-15-2461-2015.
Full textAbstract:
Abstract. The main aim of this paper is to test economic benefits of landslide prevention measures vs. post-event emergency actions. To this end, detailed- and large-scale analyses were performed in a training area located in the northeastern Italian pre-Alps that was hit by an exceptional rainfall event occurred in November 2010. On the detailed scale, a landslide reactivated after 2010 event was investigated. Numerical modeling demonstrated that remedial works carried out after the landslide – water-removal intervention such as a drainage trench – could have improved slope stability if applied before its occurrence. Then, a cost/benefit analysis was employed. It defined that prevention would have been economically convenient compared to a non-preventive and passive attitude, allowing a 30 % saving relative to total costs. On the large scale, one of the most affected areas after 2010 event was considered. A susceptibility analysis was performed using a simple probabilistic model, which allowed to highlight the main landslide conditioning factors and the most hazardous and vulnerable sectors. In particular, such low-cost analysis demonstrated that almost 50 % of landslides occurred after 2010 event could be foreseen and allowed to roughly quantify benefits from regional landslide prevention. However, a large-scale approach is insufficient to carry out a quantitative cost/benefit analysis, for which a detailed case-by-case risk assessment is needed. The here proposed approaches could be used as a means of preventive soil protection in not only the investigated case study but also all those hazardous areas where preventive measures are needed.
24
Xiang, Wen, Guang Fan Li, and Yan Rong Li. "Hainan Tropical Rainforest Landslide Analysis and Prevention Measures." Applied Mechanics and Materials 638-640 (September 2014): 648–51. http://dx.doi.org/10.4028/www.scientific.net/amm.638-640.648.
Full textAbstract:
By Hainan tropical rainforest area geology, physiognomy, the characteristics of climate, tropical rain forest complex typhoon heavy rainfall weather conditions, and the characteristic of the tropical rainforest landslide occurred, researching and analyzing the relationship of among tropical rainforest landslide, tropical rain forest vegetation destruction the relationship ,the heavy rainfall and human engineering activities. Summed up the vegetation destruction, heavy rains and engineering activities of the three factors of coupling is the most important characteristics of tropical rain forests of landslide, and put forward reasonable tropical rainforest landslide protection and management measures.
25
Mattea, Stefania. "Exploring Spatial Sources of Preference Heterogeneity for Landslide Protection." Land Economics 95, no. 3 (July 1, 2019): 333–52. http://dx.doi.org/10.3368/le.95.3.333.
Full text
26
Cherkez, E. A., O. V. Dragomyretska, and Y. Gorokhovich. "Landslide protection of the historical heritage in Odessa (Ukraine)." Landslides 3, no. 4 (November 11, 2006): 303–9. http://dx.doi.org/10.1007/s10346-006-0058-8.
Full text
27
Iadanza, Carla, Alessandro Trigila, Paolo Starace, Alessio Dragoni, Tommaso Biondo, and Marco Roccisano. "IdroGEO: A Collaborative Web Mapping Application Based on REST API Services and Open Data on Landslides and Floods in Italy." ISPRS International Journal of Geo-Information 10, no. 2 (February 20, 2021): 89. http://dx.doi.org/10.3390/ijgi10020089.
Full textAbstract:
The new national IdroGEO web platform allows the navigation, social sharing and download of data, maps, reports of the Italian Landslide Inventory, national hazard maps, and risk indicators. It is a tool for communication and dissemination of information to support decisions in risk mitigation policies, land use planning, preliminary design of infrastructures, prioritization of mitigation measures, management of civil protection emergencies, and environmental impact assessment. The challenges that have been faced during the design and development of the platform concern usability, access on multiple devices (smartphones, tablets, desktops), interoperability, transparency, reuse of information and software in the public sector, and improvement of the updating of the Italian Landslide Inventory. The methodologies and solutions adopted to address them include Progressive Web Application (PWA), Application Programming Interface (API), open standards, open libraries, and software. A landslide inventory management system has been developed via REST API for data entry and approval workflow in order to maintain the inventory in a distributed and collaborative manner. As a result, IdroGEO provides a public service for citizens, public administration, and professionals, using the “mobile first” approach and with scalable and reliable architecture. IdroGEO represents a solid infrastructure for the interoperability of data that serves as the foundation for creating a first knowledge-graph on landslides and the community who manages them.
28
Xu, Yi Wei. "Slope Protection with Vegetation for Waste Dump at Guangyue Road in Shanghai." Advanced Materials Research 594-597 (November 2012): 465–71. http://dx.doi.org/10.4028/www.scientific.net/amr.594-597.465.
Full textAbstract:
The Waste Dump at Guangyue Road in Hongkou district locates in the center of Shanghai and became a success stories for it being transformed Waste Dump into a resort. However, slight landslide on the Waste Dump occurs frequently whenever the typhoon and dramatic storm happened in recent years. Meanwhile the slope protection with vegetation is becoming the most common, efficient and most practical way for conserving water and soil and keeping slope stable. This article descripts the mechanism of slope protection with vegetation and analyses the actual situation of the Waste Dump at Guangyue Road and discusses how to reasonably apply the mechanism of slope protection with vegetation into ameliorating the landslide situation on the Waste Dump.
29
Ruan, Yong Fen, Fei Wang, Qi Li, and Bing Jin Shi. "Risk Assessment on Slope Stability of Beijing-Zhuhai Highway K46." Applied Mechanics and Materials 444-445 (October 2013): 1015–20. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1015.
Full textAbstract:
Based on a large number of statistical analyses on the highway landslide, landslide risk evaluation index system is established. According to expert experience method and analytic hierarchy process (AHP) to determine weights of landslide disaster risk index and vulnerability evaluation index, the fuzzy comprehensive evaluation method is used to analyze landslide hazard dangerousness and vulnerability, also to evaluate potential risk on the right side cutting slop of mountainous highway from Beijing to Zhuhai in section D blocks K46 + 375 to K46 + 500 before the construction is going on, therefore, the targeted slope protection design will be finalized on the analysis results. The research results can enhance the awareness of similar landslide disaster and provide analysis reference for the similar projects in the future.
30
Qin, Feng Yan, Jin Song Tu, and Qin Yun Ge. "Study on Retaining Work of the Engineering Landslide." Applied Mechanics and Materials 166-169 (May 2012): 2566–69. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.2566.
Full textAbstract:
In this paper the features and applicable ranges of the traditional landslide treatment measures were analyzed, such as anti-slide retaining walls, anti-slide piles, prestressed anchors, bolts and others . Through the analysis of engineering landslide treatment present situation, the advantage and scope of application was elaborated, which has been used only in recent years, such as the pre-stressed anchor cable pile, the lattice frame anchor, prestress concrete lattice frame anchor, anchor soil nail reinforced earth retaining wall and other new types of retaining the reinforcement measures. Finally, the development trend of engineering landslide are put out. Some suggestions are put forword for the similar engineering landslide governance and protection.
31
Del Soldato, Matteo, Lorenzo Solari, Francesco Poggi, Federico Raspini, Roberto Tomás, Riccardo Fanti, and Nicola Casagli. "Landslide-Induced Damage Probability Estimation Coupling InSAR and Field Survey Data by Fragility Curves." Remote Sensing 11, no. 12 (June 22, 2019): 1486. http://dx.doi.org/10.3390/rs11121486.
Full textAbstract:
Landslides are considered to be one of the main natural geohazards causing relevant economic damages and social effects worldwide. Italy is one of the countries worldwide most affected by landslides; in the Region of Tuscany alone, more than 100,000 phenomena are known and mapped. The possibility to recognize, investigate, and monitor these phenomena play a key role to avoid further occurrences and consequences. The number of applications of Advanced Differential Interferometric Synthetic Aperture Radar (A-DInSAR) analysis for landslides monitoring and mapping greatly increased in the last decades thanks to the technological advances and the development of advanced processing algorithms. In this work, landslide-induced damage on structures recognized and classified by field survey and velocity of displacement re-projected along the steepest slope were combined in order to extract fragility curves for the hamlets of Patigno and Coloretta, in the Zeri municipality (Tuscany, northern Italy). Images using ERS1/2, ENVISAT, COSMO-SkyMed (CSK) and Sentinel-1 SAR (Synthetic Aperture Radar) were employed to investigate an approximate 25 years of deformation affecting both hamlets. Three field surveys were conducted for recognizing, identifying, and classifying the landslide-induced damage on structures and infrastructures. At the end, the damage probability maps were designed by means of the use of the fragility curves between Sentinel-1 velocities and recorded levels of damage. The results were conceived to be useful for the local authorities and civil protection authorities to improve the land managing and, more generally, for planning mitigation strategies.
32
Ashwood, Wesley, and Oldrich Hungr. "Estimating total resisting force in flexible barrier impacted by a granular avalanche using physical and numerical modeling." Canadian Geotechnical Journal 53, no. 10 (October 2016): 1700–1717. http://dx.doi.org/10.1139/cgj-2015-0481.
Full textAbstract:
Flexible barriers are a promising tool for protection against extremely rapid landslides such as debris flow and debris avalanches. With landslide impacts of any size, the total force induced within the barrier and transferred to the anchorage is a fundamental question to design. Current practice limits the investigation to flow parameters, neglecting the behavior of the structure, which can vary significantly. This paper describes steps taken to quantify the total force induced within a flexible barrier. It describes laboratory experiments of dry granular flow against rigid and flexible barriers with observations of resisting force and other filling processes that provide an understanding of the behavior and possible flow–structure interaction for larger scale rapid landslides. Results from the experiments suggest that for granular flows with high discharge the current practice sufficiently quantifies the total force, and for those with lower discharge, the total force is better characterized by active lateral earth pressure calculations. Test results were also used to validate an adaptation to an existing depth-integrated numerical model for landslide mobility to quantify the total force. This model was then used to estimate the resisting forces induced within a full-scale flexible barrier impacted by a controlled debris flow.
33
Guzzetti, F., and G. Tonelli. "Information system on hydrological and geomorphological catastrophes in Italy (SICI): a tool for managing landslide and flood hazards." Natural Hazards and Earth System Sciences 4, no. 2 (April 15, 2004): 213–32. http://dx.doi.org/10.5194/nhess-4-213-2004.
Full textAbstract:
Abstract. Since 1990, we have maintained a database of historical information on landslides and floods in Italy, known as the National Research Council's AVI (Damaged Urban Areas) archive. The database was originally designed to respond to a request of the Minister of Civil Protection, and was aimed at helping the regional assessment of landslide and flood risk in Italy. The database was compiled in 1991-1992 to cover the period 1917 to 1990, and then updated to cover systematically the period 1917 to 2000, and non-systematically the periods 1900 to 1916 and 2001 to 2002. The database currently contains information on more than 32000 landslide events occurred at more than 21000 sites, and on more than 29000 flood events occurred at more than 14000 sites. Independently from the AVI archive, we have obtained other databases containing information on damage caused by mass movements and inundations, daily discharge measurements and solid-transport measurements at selected gauging stations, bibliographical and reference information on landslides and inundations, and a catalogue of National legislation on hydrological and geological hazards and risk in Italy. The databases are part of an information system known as SICI (an Italian acronym for Sistema Informativo sulle Catastrofi Idrogeologiche, Information System on Hydrological and Geomorphological Catastrophes), which is currently the largest single repository of historical information on landslides and floods in Italy. After an outline of the history and evolution of the AVI Project archive, we present and discuss: (a) the structure of the SICI information system, including the hardware and software solutions adopted to maintain, manage, update, use and disseminate the information stored in the various databases, (b) the type and amount of information stored in each database, including an estimate of their completeness, and (c) examples of recent applications of the information system, including a web-based GIS system to show the location of sites historically affected by landslides and floods, and an estimate of geo-hydrological (i.e. landslide and flood) risk in Italy based on the available historical information.
34
Hao, Wen Xin, Li Jie Wang, Feng Ding, and Jia Guo. "Assessing Risk Economically on Landslide in Youyu County, Shanxi Province." Advanced Materials Research 1051 (October 2014): 779–85. http://dx.doi.org/10.4028/www.scientific.net/amr.1051.779.
Full textAbstract:
This paper studies landslide and background in Youyu County, Shanxi Province and provides geological bases for the economic and social development, ecological environment construction and protection. The authors investigated the environmental geological background, collected and arranged the information in this field. By analyzing Landslide-causing factors, the area is divided into four types: high susceptible area, middle susceptible are, low susceptible area, difficult susceptible area. A map of Landslide hazard susceptible degree is made, based on the studies of the quantitative indices (formation lithology, slope structure type, gradient, rainfall, slope height, engineering activities, slope deformation features, death and threatened toll, direct and indirect economic loss and so on.).And the Landslide hazard risk of the area is comprehensively assessed.
35
Hassan, Mohamad Ghozali, Che AzlanTaib, Muslim Akanmu, and Afif Ahmarofi. "A Theoretical Review on the Preventive Measures to Landslide Disaster Occurrences in Penang State, Malaysia." Journal of Social Sciences Research, SPI6 (December 25, 2018): 753–59. http://dx.doi.org/10.32861/jssr.spi6.753.759.
Full textAbstract:
Based on the frequently unanticipated occurrences of natural landslide disaster across Malaysia, it can be seen that Malaysia is still not fully prepared for occurrences of natural landslide disaster. The lack of predictive and warning systems for the disaster in the country is creating panic and apprehension among citizens alongside with both economic and property losses. The general objectives of this research are: to identify the meteorological factors that cause landslide natural disaster occurrences in Malaysia and to suggest a predictive model for landslide disaster occurrence in Malaysia. This research therefore explored modelling disasters occurrences in order to predict, warn, and prevent huge impact of landslide disasters in Penang, Malaysia. This research shall make use of past literatures and data from Malaysian Meteorological department considering climatic parameters such as daily mean temperature and daily rainfall only. Data mining and Artificial Neural Networks (ANN) shall be suggested to predict landslide disaster occurrences in Malaysia. Thus, the need for a predictive model for occurrence of landslide natural disaster is imperative to the safety of lives and protection of both environmental and economy of the region.
36
Arabameri, Alireza, Sunil Saha, Jagabandhu Roy, Wei Chen, Thomas Blaschke, and Dieu Tien Bui. "Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran." Remote Sensing 12, no. 3 (February 3, 2020): 475. http://dx.doi.org/10.3390/rs12030475.
Full textAbstract:
This analysis aims to generate landslide susceptibility maps (LSMs) using various machine learning methods, namely random forest (RF), alternative decision tree (ADTree) and Fisher’s Linear Discriminant Function (FLDA). The results of the FLDA, RF and ADTree models were compared with regard to their applicability for creating an LSM of the Gallicash river watershed in the northern part of Iran close to the Caspian Sea. A landslide inventory map was created using GPS points obtained in a field analysis, high-resolution satellite images, topographic maps and historical records. A total of 249 landslide sites have been identified to date and were used in this study to model and validate the LSMs of the study region. Of the 249 landslide locations, 70% were used as training data and 30% for the validation of the resulting LSMs. Sixteen factors related to topographical, hydrological, soil type, geological and environmental conditions were used and a multi-collinearity test of the landslide conditioning factors (LCFs) was performed. Using the natural break method (NBM) in a geographic information system (GIS), the LSMs generated by the RF, FLDA, and ADTree models were categorized into five classes, namely very low, low, medium, high and very high landslide susceptibility (LS) zones. The very high susceptibility zones cover 15.37% (ADTree), 16.10% (FLDA) and 11.36% (RF) of the total catchment area. The results of the different models (FLDA, RF, and ADTree) were explained and compared using the area under receiver operating characteristics (AUROC) curve, seed cell area index (SCAI), efficiency and true skill statistic (TSS). The accuracy of models was calculated considering both the training and validation data. The results revealed that the AUROC success rates are 0.89 (ADTree), 0.92 (FLDA) and 0.97 (RF) and predication rates are 0.82 (ADTree), 0.79 (FLDA) and 0.98 (RF), which justifies the approach and indicates a reasonably good landslide prediction. The results of the SCAI, efficiency and TSS methods showed that all models have an excellent modeling capability. In a comparison of the models, the RF model outperforms the boosted regression tree (BRT) and ADTree models. The results of the landslide susceptibility modeling could be useful for land-use planning and decision-makers, for managing and controlling the current and future landslides, as well as for the protection of society and the ecosystem.
37
Schwarz, Massimiliano. "Wurzelverstärkung und Hangstabilitätsberechnungen: ein Überblick." Schweizerische Zeitschrift fur Forstwesen 170, no. 6 (December 1, 2019): 292–302. http://dx.doi.org/10.3188/szf.2019.0292.
Full textAbstract:
Root reinforcement and slope stability modeling: a review Rooted soils are comparable to composite materials that have very heterogeneous mechanical properties. The analysis and quantification of these properties and their change over time is very time-consuming and complex, but central to many practice-relevant aspects of soil bioengineering and protection forest management. The article summarizes recent knowledge and approaches for the quantification of so-called root reinforcement – the reinforcement of soil by roots – and its implementation in slope stability models. Root reinforcement involves four mechanisms: basal root reinforcement, lateral root reinforcement under tension, lateral root reinforcement under pressure, and stiffening of the landslide body. Recently, the SlideforNET/SlideforMAP and SOSlope models have been developed for practical use. SlideforNET is an online tool that allows to assess the likelihood of shallow landslides and the protective effect of forest cover within a few minutes. SlideforMAP is based on the same approach as SlideforNET, but is spatially distributed and takes into account the forest structure in a catchment area or a region in detail. In particular, SOSlope supports the quantification of the protective effectiveness of forest stands as well as the planning of protection forest management and of soil bioengineering measures. Initial pilot projects show that the models enable the transition from a “qualitative” to a “quantitative” soil bioengineering.
38
Zou, Lin Lin, Lei Nie, and Zhan Dong Su. "Forecasting of Jiatanchang Bank Collapse in the Three Gorge Reservoir Area." Advanced Materials Research 487 (March 2012): 850–54. http://dx.doi.org/10.4028/www.scientific.net/amr.487.850.
Full textAbstract:
In the reservoir storage and operation process, the geological environment of reservoir bank will change significantly; the changes often cause some geological problems, such as landslide, reconstruction of reservoir bank etc. In this paper, Jiatanchang reservoir has been taken for example, under the premise of engineering geology and stability analysis, Kachugin Method was applied to forecast bank collapse; combining with urban planning and ecological protection, the corresponding protective proposal has been put forward.
39
Yu, Shun Hui, Li Ping He, and Jun Sheng Qi. "Analyzing on Comprehensive Treatment Measures and Origin of Qianjiangping Landslide in Three Gorges Reservoir Area." Advanced Materials Research 356-360 (October 2011): 14–19. http://dx.doi.org/10.4028/www.scientific.net/amr.356-360.14.
Full textAbstract:
Qianjiangping landslide, which occurred in the Three Gorges Reservoir Area, is one of the serious landslide disasters in this area after impounding. Based on site investigation, and investigation of the related reference materials and analyzing the origin caused this disaster we think the special geological and geomorphic conditions and concentrated rainfall are the main factors. Some suggestions on engineering treatment technology, the measures of nature restoring vegetation and ecology restoring vegetation, which are useful to the landslide treatment of analogous project, are put forward---That is, for happened landslide and potential dangerous areas it is necessary to do hill’s drainage and slope protection; the method for natural restoration vegetation is to close the mountains for natural afforestation to reduce the human interference; and the way for ecological restoration vegetation is to restore and rehabilitate Eco-economic vegetation.
40
Aaron, Jordan, Scott McDougall, and Peter Jordan. "Dynamic analysis of the 2012 Johnsons Landing landslide at Kootenay Lake, British Columbia: the importance of undrained flow potential." Canadian Geotechnical Journal 57, no. 8 (August 2020): 1172–82. http://dx.doi.org/10.1139/cgj-2018-0623.
Full textAbstract:
The Johnsons Landing landslide occurred on 12 July 2012 on the shores of Kootenay Lake, British Columbia. The landslide consisted of poorly sorted, low-plasticity debris that initially descended a steep channel, before avulsing onto a glaciofluvial terrace. This event destroyed three homes and killed four people who lived on this terrace. This paper presents a back-analysis of this event using numerical runout modelling. It is shown that undrained flow can explain the observed channel avulsion with fewer model parameters than needed by previous analyses. This mechanism should be considered in similar settings, as ignoring it can lead to underestimation of runup and overtopping of natural and anthropogenic flow obstacles, such as landslide protection structures.
41
Segoni, S., L. Leoni, A. I. Benedetti, F. Catani, G. Righini, G. Falorni, S. Gabellani, R. Rudari, F. Silvestro, and N. Rebora. "Towards a definition of a real-time forecasting network for rainfall induced shallow landslides." Natural Hazards and Earth System Sciences 9, no. 6 (December 15, 2009): 2119–33. http://dx.doi.org/10.5194/nhess-9-2119-2009.
Full textAbstract:
Abstract. PREVIEW is an European Commission FP6 Integrated Project with the aim of developing, at an European level, innovative geo-information services for atmospheric, geophysical and man-made risks. Within this framework, the Landslides Platform Service 2 (forecasting of shallow rapid slope movements) has developed an integrated procedure for the forecasting and warning of distributed shallow landsliding to be used for civil protection purposes. The Service consists of an automated end-to-end forecasting chain which uses data from a probabilistic downscaled short-term rainfall forecast, soil saturation estimates and meteorological radar outputs. The above data are entered into a hydro-geological model that makes use of an infinite slope approach to calculate the distributed Factor of Safety over the entire basin. All outputs, and much of the input data, are shown on a WebGIS system so that end-users can interactively access and download data. A distinctive feature of the service is the use of an innovative soil depth model for predicting the distributed thickness of the regolith cover within the basin, which is one of the most important parameters controlling shallow landslide triggering. The service was developed in a pilot test site in NE Italy, the Armea basin. Validation makes use of two rainfall events: one that occurred in 2000 and a smaller, more recent event (2006) that caused fewer landslides. Rainfall data have been used to compute a distributed factor-of-safety map that has been overlaid onto the landslide inventory. Instead of a traditional validation approach based on the number count of correctly identified landslides, we carried out an alternative procedure based on the landslides area that gave outcomes which, for this preliminary stage of the research, can be considered promising.
42
Korolev, V. A., and M. V. Minina. "A TYPIFICATION OF LITHOTECHNICAL SYSTEMS FOR SUBSTANTIATING LANDSLIDE ENGINEERING PROTECTION SCHEMES." Engineering Geology, no. 2 (January 1, 2017): 38–51. http://dx.doi.org/10.25296/1993-5056-2017-2-38-51.
Full text
43
Huang, Dong, Yuan Jun Jiang, Jian Ping Qiao, and Meng Wang. "Hazard assessment comparison of Tazhiping landslide before and after treatment using the finite-volume method." Natural Hazards and Earth System Sciences 17, no. 9 (September 22, 2017): 1611–21. http://dx.doi.org/10.5194/nhess-17-1611-2017.
Full textAbstract:
Abstract. Through investigation and analysis of geological conditions and mechanical parameters of the Tazihping landslide, finite-volume method coupling with Voellmy model is used to simulate the landslide mass movement process. The present paper adopts the numerical approach of the RAMMS software program and the GIS platform to simulate the mass movement process before and after engineering treatment. This paper also provides the conditions and characteristic variables of flow-type landslide in terms of flow height, velocity, and stresses. The 3-D division of hazard zones before and after engineering treatment was also mapped. The results indicate that the scope of hazard zones decreased after engineering treatment of the landslide. Compared with the case of before engineering treatment, the extent of high-hazard zones was reduced by about two-thirds, and the characteristic variables of the mass movement in the case of after treatment decreased to one-third of those in the case of before treatment. Despite having engineering treatment, the Tazhiping landslide still poses significant potential threat to the nearby residences. Therefore, it suggests that the houses located in high-hazard zones should be relocated or reinforced for protection.
44
Giordan, D., A. Manconi, P. Allasia, and D. Bertolo. "Brief Communication: On the rapid and efficient monitoring results dissemination in landslide emergency scenarios: the Mont de La Saxe case study." Natural Hazards and Earth System Sciences 15, no. 9 (September 10, 2015): 2009–17. http://dx.doi.org/10.5194/nhess-15-2009-2015.
Full textAbstract:
Abstract. Straightforward communication of monitoring results is of major importance in emergency scenarios relevant to large slope instabilities. Here we describe the communication strategy developed for the Mont de La Saxe rockslide threatening La Palud and Entrèves hamlets in the Courmayeur municipality (Aosta Valley, Italy). Starting from the definition of actions and needs of the landslide management team, including scientists, technicians, civil protection operators, decision makers, and politicians, we show that sharing and disseminating ad hoc information simplifies the understanding of the landslide evolution, as well as the correct communication of the level of criticality.
45
Frodella, William, Teresa Salvatici, Veronica Pazzi, Stefano Morelli, and Riccardo Fanti. "GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events." Natural Hazards and Earth System Sciences 17, no. 10 (October 19, 2017): 1779–93. http://dx.doi.org/10.5194/nhess-17-1779-2017.
Full textAbstract:
Abstract. Diffuse and severe slope instabilities affected the whole Veneto region (north-eastern Italy) between 31 October and 2 November 2010, following a period of heavy and persistent rainfall. In this context, on 4 November 2010 a large detrital mass detached from the cover of the Mt. Rotolon deep-seated gravitational slope deformation (DSGSD), located in the upper Agno River valley, channelizing within the Rotolon Creek riverbed and evolving into a highly mobile debris flow. The latter phenomena damaged many hydraulic works, also threatening bridges, local roads, and the residents of the Maltaure, Turcati, and Parlati villages located along the creek banks and the town of Recoaro Terme. From the beginning of the emergency phase, the civil protection system was activated, involving the National Civil Protection Department, Veneto Region, and local administrations' personnel and technicians, as well as scientific institutions. On 8 December 2010 a local-scale monitoring system, based on a ground-based interferometric synthetic aperture radar (GB-InSAR), was implemented in order to evaluate the slope deformation pattern evolution in correspondence of the debris flow detachment sector, with the final aim of assessing the landslide residual risk and managing the emergency phase. This paper describes the results of a 2-year GB-InSAR monitoring campaign (December 2010–December 2012) and its application for monitoring, mapping, and emergency management activities in order to provide a rapid and easy communication of the results to the involved technicians and civil protection personnel, for a better understanding of the landslide phenomena and the decision-making process in a critical landslide scenario.
46
Giordan, D., A. Manconi, P. Allasia, and D. Bertolo. "Brief Communication: On the rapid and efficient monitoring results dissemination in landslide emergency scenarios: the Mont de La Saxe case study." Natural Hazards and Earth System Sciences Discussions 3, no. 4 (April 21, 2015): 2757–75. http://dx.doi.org/10.5194/nhessd-3-2757-2015.
Full textAbstract:
Abstract. Straightforward communication of monitoring results is of major importance in emergency scenarios relevant to large slope instabilities. Here we describe the communication strategy developed for the Mont de La Saxe case study, a large rockslide threatening La Palud and Entrèves hamlets in the Courmayeur municipality (Aosta Valley, Italy). Starting from the definition of actions and needs of the Landslide Management Team, including scientists, technicians, civil protection operators, decision makers, and politicians, we show that sharing and disseminating ad hoc information simplifies the understanding of the landslide evolution, as well as the correct communication of the level of criticality.
47
Floris, M., A. D'Alpaos, A. De Agostini, G. Stevan, G. Tessari, and R. Genevois. "A process-based model for the definition of hydrological alert systems in landslide risk mitigation." Natural Hazards and Earth System Sciences 12, no. 11 (November 14, 2012): 3343–57. http://dx.doi.org/10.5194/nhess-12-3343-2012.
Full textAbstract:
Abstract. The definition of hydrological alert systems for rainfall-induced landslides is strongly related to a deep knowledge of the geological and geomorphological features of the territory. Climatic conditions, spatial and temporal evolution of the phenomena and characterization of landslide triggering, together with propagation mechanisms, are the key elements to be considered. Critical steps for the development of the systems consist of the identification of the hydrological variable related to landslide triggering and of the minimum rainfall threshold for landslide occurrence. In this paper we report the results from a process-based model to define a hydrological alert system for the Val di Maso Landslide, located in the northeastern Italian Alps and included in the Vicenza Province (Veneto region, NE Italy). The instability occurred in November 2010, due to an exceptional rainfall event that hit the Vicenza Province and the entire NE Italy. Up to 500 mm in 3-day cumulated rainfall generated large flood conditions and triggered hundreds of landslides. During the flood, the Soil Protection Division of the Vicenza Province received more than 500 warnings of instability phenomena. The complexity of the event and the high level of risk to infrastructure and private buildings are the main reasons for deepening the specific phenomenon occurred at Val di Maso. Empirical and physically-based models have been used to identify the minimum rainfall threshold for the occurrence of instability phenomena in the crown area of Val di Maso landslide, where a retrogressive evolution by multiple rotational slides is expected. Empirical models helped in the identification and in the evaluation of recurrence of critical rainfall events, while physically-based modelling was essential to verify the effects on the slope stability of determined rainfall depths. Empirical relationships between rainfall and landslide consist of the calculation of rainfall Depth-Duration-Frequency (DDF) curves, which allow one to determine rainfall depth (or intensity) as a function of duration for given return periods or probabilities of exceedance (frequencies). Physically-based modelling was performed through coupled seepage and slope stability analyses. Combining results from empirical and physically-based modelling, the minimum alert threshold for a reactivation of the phenomenon was found in rainfall cumulated up to 60 days with a return period of 2 yr. These results were used to set up a hydrological alert system based on the calibration of DDF curves which can be used as a sort of abacus to plot in real time rainfall depths and to set increasing levels of alert on the basis of the degree of exceptionality of rainfall. The alert system for Val di Maso was successfully tested by the rainfall events that produced displacements which have been recorded by extensometers placed in the crown area after the November 2010 landslide. However, further tests are recommendable to improve the process-based model that led to the implementation of the alert system. To this end, a monitoring system is currently being realized. In the near future, monitoring data will help in testing and improving landslide evolution and alert models. The proposed hydrological alert system proves to be effective mainly because it can be applied to different scales of investigation and geological and geomorphological contexts. In fact, it might also be applicable to territorial scale analyses, as showed by the brief example provided in this paper on how the alert system could be used for landslide early warning in the area surrounding Val di Maso. Furthermore, it is easy to set up. The needed components are a rain gauge station, a software that compares rainfall data to rainfall events with different return periods and degree of alert, and a transmission system of the warning levels to authorities.
48
Leier, Dar’ia. "Engineering protection of trestle support on landslide slopes of the Sochi city." PNRPU Construction and Architecture Bulletin 7, no. 3 (2016): 127–43. http://dx.doi.org/10.15593/2224-9826/2016.3.12.
Full text
49
Buta, C., C. Maftei, G. Dobrica, and G. Draghici. "GIS-based landslide susceptibility for environment protection of Black Sea Romanian coast." IOP Conference Series: Materials Science and Engineering 789 (June 6, 2020): 012008. http://dx.doi.org/10.1088/1757-899x/789/1/012008.
Full text
50
Li, Changdong, Liangqing Wang, Hongyuan Jing, and Qingtao Liu. "Protection Control Scheme and Evaluation of Effectson Pipeline Crossing beneath Landslide Area." Journal of Pipeline Systems Engineering and Practice 4, no. 1 (February 2013): 41–48. http://dx.doi.org/10.1061/(asce)ps.1949-1204.0000130.
Full text