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Статті в журналах з теми "Rainfall-triggered shallow landslides"
Crosta, G. B., and P. Frattini. "Distributed modelling of shallow landslides triggered by intense rainfall." Natural Hazards and Earth System Sciences 3, no. 1/2 (April 30, 2003): 81–93. http://dx.doi.org/10.5194/nhess-3-81-2003.
Повний текст джерелаYu, Teng-To, Ting-Shiuan Wang, and Youg-Sin Cheng. "Analysis of Factors Triggering Shallow Failure and Deep-Seated Landslides Induced by Single Rainfall Events." Journal of Disaster Research 10, no. 5 (October 1, 2015): 966–72. http://dx.doi.org/10.20965/jdr.2015.p0966.
Повний текст джерелаRoccati, Anna, Francesco Faccini, Fabio Luino, Laura Turconi, and Fausto Guzzetti. "Rainfall events with shallow landslides in the Entella catchment, Liguria, northern Italy." Natural Hazards and Earth System Sciences 18, no. 9 (September 13, 2018): 2367–86. http://dx.doi.org/10.5194/nhess-18-2367-2018.
Повний текст джерелаKieffer, D. Scott, Randy Jibson, Ellen M. Rathje, and Keith Kelson. "Landslides Triggered by the 2004 Niigata Ken Chuetsu, Japan, Earthquake." Earthquake Spectra 22, no. 1_suppl (March 2006): 47–73. http://dx.doi.org/10.1193/1.2173021.
Повний текст джерелаVessia, G., M. Parise, M. T. Brunetti, S. Peruccacci, M. Rossi, C. Vennari, and F. Guzzetti. "Automated reconstruction of rainfall events responsible for shallow landslides." Natural Hazards and Earth System Sciences 14, no. 9 (September 10, 2014): 2399–408. http://dx.doi.org/10.5194/nhess-14-2399-2014.
Повний текст джерелаLainas, Spyridon, Nikolaos Depountis, and Nikolaos Sabatakakis. "Preliminary Forecasting of Rainfall-Induced Shallow Landslides in the Wildfire Burned Areas of Western Greece." Land 10, no. 8 (August 20, 2021): 877. http://dx.doi.org/10.3390/land10080877.
Повний текст джерелаJordanova, Galena, Stefano Luigi Gariano, Massimo Melillo, Silvia Peruccacci, Maria Teresa Brunetti, and Mateja Jemec Auflič. "Determination of Empirical Rainfall Thresholds for Shallow Landslides in Slovenia Using an Automatic Tool." Water 12, no. 5 (May 19, 2020): 1449. http://dx.doi.org/10.3390/w12051449.
Повний текст джерелаVessia, G., M. Parise, M. T. Brunetti, S. Peruccacci, M. Rossi, C. Vennari, and F. Guzzetti. "Automated reconstruction of rainfall events responsible for shallow landslides." Natural Hazards and Earth System Sciences Discussions 2, no. 4 (April 25, 2014): 2869–90. http://dx.doi.org/10.5194/nhessd-2-2869-2014.
Повний текст джерелаGiannecchini, R. "Relationship between rainfall and shallow landslides in the southern Apuan Alps (Italy)." Natural Hazards and Earth System Sciences 6, no. 3 (May 11, 2006): 357–64. http://dx.doi.org/10.5194/nhess-6-357-2006.
Повний текст джерелаGordo, Cristina, José Luís Zêzere, and Rui Marques. "Landslide Susceptibility Assessment at the Basin Scale for Rainfall- and Earthquake-Triggered Shallow Slides." Geosciences 9, no. 6 (June 20, 2019): 268. http://dx.doi.org/10.3390/geosciences9060268.
Повний текст джерелаДисертації з теми "Rainfall-triggered shallow landslides"
Lora, Marco. "Rainfall-Triggered Shallow Landslides in a Large-Scale Physical Model." Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3423909.
Повний текст джерелаLe valutazioni di pericolosità sulle frane superficiali sono in genere estese su scala di versante, le cui limitate indagini geotecniche non consentono una caratterizzazione fedele che miri ad una comprensione dettagliata dei fenomeni di innesco. Per tale motivo, i processi fisici considerati nella spiegazione del fenomeno sono spesso riduttivi e tali da consentire una modesta risoluzione sia spaziale che temporale. Tale approccio risulta utile per valutazioni legate alla previsione di innesco, e quindi, correttamente, non necessitano di un’elevata affidabilità nell’interpretazione del fenomeno idromeccanico, ma risultano compatibili con un’analisi sommaria e generalizzata. Tuttavia, un’analisi a scala locale diventa necessaria quando sia richiesta una comprensione dettagliata del fenomeno di innesco che permetta di riconoscere gli elementi, e la loro intensità, nell’innesco delle frane superficiali. Tale esigenza può essere soddisfatta solo riproducendo dati sperimentali raccolti su siti a monitoraggio elevato. Lo studio presente si occupa di un pendio artificiale per la simulazione dei fenomeni di innesco delle frane superficiali determinate da precipitazioni intense. Il modello fisico consiste di un muro di contenimento in calcestruzzo armato: l’altezza massima è di 3.5 m, la lunghezza alla base è di 6 m e la larghezza di 2 m, così da realizzare una pendenza superficiale di 2:3. Su ogni muro laterale, sono applicate 50 forature realizzate mediante tronchetti flangiati che consentono l’inserimento di 6 tensiometri e 6 sonde WCR (Water Content Reflectometer) nelle posizioni desiderate. La strumentazione è completata con 2 piezometri e due pozzetti per la misura delle portate di ruscellamento e sub-superficiale in uscita. Ogni misura viene acquisita e registrata mediante un sistema di acquisizione. Il lavoro sviluppato riguarda la progettazione e l’analisi delle prestazioni dei principali dispositivi impiegati nel modello fisico, fino alla realizzazione di due prove sperimentali su uno strato di sabbia con spessore verticale di 60 cm. Un simulatore di pioggia è stato progettato e realizzato per generare una precipitazione intensa tale da provocare l’instabilità del materiale posato nel modello fisico. Il simulatore consiste in una rete ad anello chiuso sulla quale sono distribuiti degli ugelli appositamente scelti per evitare erosione sulla superficie del terreno dovuta all’impatto delle gocce erogate. In questo modo gli effetti indotti dalla precipitazione si riconoscono nei soli fenomeni di infiltrazione, senza innesco di processi erosivi che potrebbero aggiungere fenomeni di difficile comprensione. Le configurazioni degli ugelli distribuiti sul simulatore vengono scelte per coprire i) il campo desiderato delle intensità di pioggia, variante tra 50 e 150 mm/h, e per assicurare ii) un’elevata uniformità spaziale della precipitazione prodotta. Un’attenta analisi è stata svolta per caratterizzare un singolo ugello mediante un apposito dispositivo, così da individuarne le principali variabili caratterizzanti il funzionamento e le prestazioni. Successivamente, l’indagine sperimentale è stata concentrata sulla versione finale del simulatore di pioggia, al fine di definire le modalità di gestione e di regolazione della precipitazione riprodotta. A seconda del campo di intensità desiderato, quattro differenti configurazioni di ugelli, distinte per il numero e la posizione degli ugelli attivi, sono state individuate per ricoprire l’intervallo totale di intensità da 50 a 150 mm/h. Inoltre, è stata eseguita un’analisi per valutare i diametri delle gocce erogate mediante olio ad alta viscosità versato in dischetti Petri esposti alla pioggia artificiale. La distribuzione dei diametri così ottenuta è stata successivamente impiegata in un modello numerico per stimare la distribuzione dell’energia di impatto delle gocce sul suolo. Il modello numerico proposto calcola la traiettoria delle particelle erogate dall’ugello mediante una legge costitutiva basata sull’aerodinamica di sfere nello spazio 3D. I risultati hanno posto in evidenza la limitata erosione superficiale determinata dalla precipitazione erogata. È stata poi realizzato un dispositivo per la calibrazione delle sonde WCR (Water Content Reflectometer), impiegate per la stima del contenuto volumetrico d’acqua del terreno. Il dispositivo consiste in un contenitore in Plexiglas di dimensione interne pari a 0.6 x 0.5 x 0.6 m3, contenente il suolo che risulta libero nella parte superiore e, alla base, trattenuto da una piastra forata. La procedura di calibrazione delle sonde WCR ha mirato a definire una legge per una stima accurata dei processi di infiltrazione nel suolo durante gli esperimenti di frana. Numerose prove sono state quindi condotte variando, rispettivamente, la porosità del provino di materiale posato nel contenitore; le caratteristiche del suolo erano costantemente monitorate da 3 tensiometri infissi e da altrettante sonde WCR. Il risultato finale ha restituito una legge di calibrazione dello strumento linearmente dipendente dal segnale di uscita della sonda WCR e anche dalla porosità del terreno. Due esperimenti sul modello fisico di frana sono stati quindi realizzati su uno strato di materiale con due rispettive porosità. Il materiale impiegato consiste in una sabbia fine con distribuzione granulometrica molto uniforme. In un primo caso la sabbia è stata posata senza introdurre azioni di compattazione, a meno di una leggera battitura sulla superficie per evitare eccessive deformazioni successive alla precipitazione. In un secondo esperimento, la sabbia è stata invece posata e compattata per strati successivi, così da raggiungere uno stato addensato. I due esperimenti sono stati rispettivamente eseguiti applicando un’intensità di precipitazione pari a 150 mm/h fino a collasso avvenuto. Le modalità di innesco osservate e l’analisi dei dati raccolti permettono di individuare gli elementi idrologici che determinano il collasso in entrambi i casi, mettendo anche in rilievo le diversità. Con sabbia sciolta, il collasso si verifica istantaneamente, senza segni premonitori che avvertano dell’imminente frana. All’innesco, il volume di terreno ha assunto le sembianze di un fluido ad alta viscosità, e i tensiometri installati registrano un picco istantaneo di pressione idraulica. Nel caso di sabbia addensata, il collasso avviene molto lentamente ed è preceduto da distacchi localizzati di strati sottili di terreno. Un modello per la risoluzione dell’equazione di Richards è stato impiegato per riprodurre le dinamiche idrologiche che determinano l’innesco delle frane nei due casi distinti. Si è ricorso, inoltre, ad una procedura inversa per migliorare l’affidabilità della soluzione numerica rispetto ai dati sperimentali registrati durante le prove di frana. Il confronto esprime un’elevata corrispondenza tra dati numerici e sperimentali nel caso di sabbia sciolta. Nel secondo caso con sabbia addensata, le ipotesi del modello di Richards non sono sufficienti per raggiungere una corrispondenza accettabile con i dati sperimentali. Le cause possono ritrovarsi nell’influenza che la fase gassosa contenuta nei pori può determinare, nonché le deformazioni incipienti a micro-scala che si manifestano durante l’esperimento.
Rajaguru, Mudiyanselage Thilanki Maneesha Dahigamuwa. "Enhancement of Rainfall-Triggered Shallow Landslide Hazard Assessment at Regional and Site Scales Using Remote Sensing and Slope Stability Analysis Coupled with Infiltration Modeling." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7562.
Повний текст джерелаCheng, Chia-Yuan, and 鄭佳元. "Analysis of rainfall-triggered shallow landslides." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/60000696908593136229.
Повний текст джерела國立成功大學
資源工程學系碩博士班
97
There are a lot of landslides happened in Taiwan during rainy seasons. A correlation between rainfall and slope stability has been studied. There has been much research conducted on the effects of rainfall on unsaturated soil slopes. The one of mechanisms that leads to slope failures is the pore water pressures starting to increase when water starts to infiltrate the unsaturated soil zone. The failures have been attributed to the advancement of a wetting front into slopes until it reaches a depth where it triggers failure. Conventional methods for slopes stability analysis, assuming fully saturated (or dry) behaviors on slope, cannot be described successfully under unsaturated conditions. In this study, the finite element computer program SEEP/W is used to simulate the changes in pore water pressure when the slope is subjected to different rainfall events. Finally, the pore water pressure distribution computed in the program SEEP/W is imported into SLOPE/W for the slope stability analysis. The time-dependent pore water pressure distribution could therefore be used to compute the factor of safety with time directly. This thesis is divided into two parts, the first part is to process sensitivity analysis of controlling parameters, including general geometry, soil property, rainfall intensity and rainfall pattern. This results indicate soil property and rainfall intensity are the most important factors to influence slope stability. In the second part, the Songmao region in Taichung, Taiwan which has been examined by modeling local rainfall events and coupled with the monitored data from field to determine the slope stability mechanism. By the rainfall events, the simulation indicated safety factor of slope decreased by less than 1.0 when the rainfall infiltrates at 2.0m depth and the monitored data also revealed displacement in the evidence. In conclusion, the slope failures have been attributed to the increase of pore water pressure and decrease of shear strength when rainfall triggers failure. Therefore, the main reason to make Songmao region slope instability is rainfall infiltration.
Lin, Wei-Fu, and 林威甫. "Probability Modeling of Rainfall-triggered Shallow Landslides – A Case Study on Jiashian Area." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/61297421229002566623.
Повний текст джерела國立嘉義大學
土木與水資源工程學系研究所
98
Typhoon Morakot on August 7, 2009 hit central and southern Taiwan and lead to many slope disasters which destroyed villages and killed hundreds of people. The objective of this study is to assess the possibility of rainfall-induced landslides in Jiashian area located in southern Taiwan. The results show that the landslide occurrence is significantly affected by the rainfall condition. For a 48hr rainfall event, the landslide tendencies of the four rainfall patterns, including the uniform, advanced, intermediated, and delayed rainfalls, seem to be the same when the rainfall amount is less than 250mm. The positions of landslide occurrence probability larger than 50% significantly increase while the 48hr rainfall is between 250mm and 500mm. Among the four rainfall patterns, the advanced rainfall has the largest rate of increase, whereas the delayed rainfall provides the smallest rate, and the other two almost have the same rate. When the rainfall is greater than 500mm, the increase rate of the advanced rainfall in the position of landslide occurrence probability larger than 50% dramatically decreases, but the delayed rainfall has the contrary outcome, and the increase rates of the other two rainfall patterns are between those of the advanced and delayed rainfalls. However, like the rainfall amount less than 250mm, the four rainfall patterns with large rainfall amount seem to again have the same landslide tendency.
Masi, Elena Benedetta. "The root reinforcement in a distributed slope stability model: effects on regional-scale simulations." Doctoral thesis, 2020. http://hdl.handle.net/2158/1192258.
Повний текст джерелаLEONI, LORENZO. "Shallow landslides triggered by rainfall: integration between ground-based weather radar and slope stability models in near-real time." Doctoral thesis, 2008. http://hdl.handle.net/2158/547918.
Повний текст джерелаChen, Hung-En, and 陳弘恩. "Development and Examination of Rainfall-Triggered Shallow Landslide Model." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/13664461361833997077.
Повний текст джерела國立交通大學
土木工程系所
93
In this study, based on Richards equation and infinite slope stability theory, a rainfall-triggered shallow landslide model is developed and examined. After the developed model is verified, the type and mechanism of failure in steep and mild slopes are investigated first. The influences of rainfall characters including intensity, duration, and pattern on shallow landslide are then examined. The results show that the failure of steep slope could happen when the soils are unsaturated or saturated. However, the failure of mild slope seems to occur in saturated soils only. Both the decrease of soil suction and the rise of groundwater table caused by rainfall could trigger landslide. The intensity, duration, and pattern of rainfall have significantly influence not only on the occurrence of shallow landslide but also on the depth and time of soil failure. In addition, the sufficient condition of landslide caused by the rise of groundwater table is derived and it could be used in engineering practices.
Lin, Hsien-Yun, and 林仙蕓. "Inverstigation of Regional Risk Analysis for Rainfall-Triggered Shallow Landslide." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/25232345263925496845.
Повний текст джерела國立交通大學
土木工程系所
96
Rainfall-triggered shallow landslide is one of the major natural hazards. Recently, the infinite slope theory combining reliability analysis was widely applied to assess the grid-based regional slope stability (Baum et al. 2002). The advantages of above method are based on sound physical mechanic and accounting the uncertainties of hydrogeological parameters, simultaneously. However, for a specified region consisting of several grid points, most researches accounted for the slope reliability of each individual point, and ignored the influence of its neighboring points, thus, the overall landslide potential for whole region cannot be quantified. In this study, a framework to evaluate the regional reliability during rainstorm event is presented which explicitly incorporating the spatial correlation between each grid points. According to Su (2007), the cohesion, friction angle, unit weight of saturated soil, and saturated hydraulic conductivity are considered as the random hydrogeological parameters in this study. Based on the assumption that the spatial variability of random hydrogeological parameters are second-order stationary with exponential covariance function, the spatial correlation of uncertain parameters between each grid points inside the pre-specified region are accounted firstly. From the “Rainfall-Triggered Shallow Landslide Model” developed by Tsai and Yang (2006) along with the first-order second-moment method (FOSM), the statistical properties of safety factor (FS), including expectation, standard deviation, and correlation coefficients, are quantified. Furthermore, based on the assumption that the joint probability function for safety factors is multivariate normal distribution, the concept of “series system” is adopted to obtain the regional reliability (i.e. the reliability that all the grid points do not failure during rainstorm event). To examine the accuracy of proposed framework, a hypothetical example is utilized. The examination is conducted through the comparison of the regional reliability calculated by the proposed framework and Monte Carlo simulation (MCS). The results indicate that the multivariate normal distribution assumption of safety factors and the FOSM are applicable for risk assessment of landslide, regardless of the uncertainties degrees of hydrogeologic parameters. After the proposed framework has been examined, it is applied to the Shihmen reservoir watershed. From the application results, comparing with the traditional methods which determine the reliabilities for each individual grid points, the regional reliability is more suitable to assess the overall landslide potential for whole region because it incorporate the spatial variability of hydrogeological parameters and the spread of reliabilities among all the grid points simultaneously. Thus, the proposed framework could assist the engineers outline the management priorities for different regions according to various degrees of regional reliabilities.
蘇歆婷. "Development and Application of Risk Assessment Model for Rainfall-Triggered Shallow Landslide." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/46771522992386937633.
Повний текст джерела劉緁玲. "Comparisons of Various Uncertainty Analysis Methods for the Rainfall-Triggered Shallow Landslide Model." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/45037564264748942821.
Повний текст джерела國立交通大學
土木工程學系
100
Rainfall-triggered shallow landslide is one of the major natural disasters over the world which may immediately cause large numbers of casualties and huge economic losses. To mitigate the landslide disasters, the numerical model simulations based on the infinite slope theory have been widely applied to predict the slope stability during a rainfall event. However, due to the inherent heterogeneity and lack of complete information about model input variables, uncertainties exist in specifying the values of these variables in the numerical model rendering potential failure to obtain the authentic model output (safety factor, FS) for the slope under consideration. In this study, three approximated uncertainty analysis methods, including the first-order second-moment (FOSM), Rosenblueth’s point estimation (R-PE), and Li’s point estimation (LI-PE) were utilized with the developed rainfall triggered shallow landslide model (Tsai and Yang, 2006) to obtain the statistical properties of FS and the landslide probability (Pf) at the Salunzai slope during typhoon Aere. Besides, the relative errors of computed Pf with respect to Monte Carlo simulation (MCS) result were compared. Six stochastic model input variables, including the saturated hydraulic conductivity (Ksat), friction angle (??, cohesion (c), initial groundwater depth (dZ), soil thickness (dLZ), and slope (α) were considered. Moreover, six cases involving different uncertainty levels of slope angle and soil thickness were considered. The results showed that each of the three approximated methods has its own advantages and drawbacks for the uncertainty analysis of rainfall triggered shallow landslide model. The performances of the approximated uncertainty analysis methods were evaluated through three criteria including: (1) accuracy; (2) efficiency; and (3) prior information requirements. For the accuracy of the approximated methods, the differences in obtained landslide probability between the point estimation (Rosenblueth’s and Li’s) and MCS are minimal in all of the six cases. However, the FOSM method tends to significantly overestimate the landslide probability especially in the case with higher model inputs uncertainties. In contrast to accuracy, the FOSM method has highest computational efficiency because the required number of numerical model evaluation in one simulation grid is 9, while the Rosenblueth’s and Li’s point estimation methods require 16 and 15 model evaluations, respectively. In view of the prior information requirement, the FOSM method only requires the first two moments of the stochastic model input variables while the Rosenblueth’s and Li’s point estimation methods require the first three and four moments of model inputs, respectively. In summary, the applicability of the three approximated uncertainty analysis methods for rainfall-triggered shallow landslide model depend on the space scale of the application. For the estimation of the distributions of the landslide probabilities within a watershed, the third and fourth moments of stochastic model inputs might not be reliably obtained, besides, the amounts of simulation grids might be huge, thus the FOSM method is more applicable than the Rosenblueth’s and Li’s point estimation methods. In contrast, for the estimation of landslide probability at a specified slope, the third and fourth moments of stochastic model inputs might be reliably through a more comprehensive field investigation, thus the Rosenblueth’s and Li’s point estimation methods are more applicable due to the higher accuracy.
Частини книг з теми "Rainfall-triggered shallow landslides"
Gratchev, Ivan, Sinnappoo Ravindran, Dong Hyun Kim, Chen Cui, and Qianhao Tang. "Mechanisms of Shallow Rainfall-Induced Landslides from Australia: Insights into Field and Laboratory Investigations." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 113–22. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_7.
Повний текст джерелаZizioli, Davide, Claudia Meisina, Massimiliano Bordoni, and Francesco Zucca. "Rainfall-Triggered Shallow Landslides Mapping Through Pleiades Images." In Landslide Science for a Safer Geoenvironment, 325–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05050-8_51.
Повний текст джерелаPradhan, Ananta Man Singh, Hyo-Sub Kang, and Yun-Tae Kim. "Hybrid Landslide Warning Model for Rainfall Triggered Shallow Landslides in Korean Mountain." In Advancing Culture of Living with Landslides, 193–200. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53487-9_22.
Повний текст джерелаAristizábal, Edier, Hernán Martínez-Carvajal, and Edwin García-Aristizábal. "Modelling Shallow Landslides Triggered by Rainfall in Tropical and Mountainous Basins." In Advancing Culture of Living with Landslides, 207–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53485-5_23.
Повний текст джерелаZizioli, Davide, Claudia Meisina, Francesco Zucca, Massimiliano Bordoni, Davide Notti, Fabio Remondino, and Paolo Gamba. "Evaluation of Pleiades Images for Rainfall-Triggered Shallow Landslides Mapping." In Engineering Geology for Society and Territory - Volume 2, 405–9. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09057-3_64.
Повний текст джерелаWang, Gonghui, and Yao Jiang. "High Mobility of Large-Scale Shallow Landslide Triggered by Heavy Rainfall in Izu Oshima." In Advancing Culture of Living with Landslides, 213–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53485-5_24.
Повний текст джерелаD’Amato Avanzi, Giacomo, Yuri Galanti, Roberto Giannecchini, and Carlotta Bartelletti. "Shallow Landslides Triggered by the 25 October 2011 Extreme Rainfall in Eastern Liguria (Italy)." In Engineering Geology for Society and Territory - Volume 2, 515–19. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09057-3_85.
Повний текст джерелаYang, Kuo-Hsin, Thanh Son Nguyen, Harianto Rahardjo, and Der-Guey Lin. "Deformation Characteristics with Porewater Pressure Development of Shallow Landslide Triggered by Rainfall Infiltration." In Understanding and Reducing Landslide Disaster Risk, 227–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60706-7_20.
Повний текст джерелаLazzari, Maurizio, Marco Piccarreta, Ram L. Ray, and Salvatore Manfreda. "Modeling Antecedent Soil Moisture to Constrain Rainfall Thresholds for Shallow Landslides Occurrence." In Landslides - Investigation and Monitoring. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.92730.
Повний текст джерелаWaswa, G., and S. Lorentz. "Energy considerations in intense-rainfall triggered shallow landslides." In Proceedings of the First Southern African Geotechnical Conference, 327–33. CRC Press, 2016. http://dx.doi.org/10.1201/b21335-58.
Повний текст джерелаТези доповідей конференцій з теми "Rainfall-triggered shallow landslides"
Li Dexin, He Siming, Ni Huayong, and Li Junge. "Notice of Retraction: Model analysis and advice on the rainfall-triggered shallow landslide." In 2010 2nd Conference on Environmental Science and Information Application Technology (ESIAT 2010). IEEE, 2010. http://dx.doi.org/10.1109/esiat.2010.5568391.
Повний текст джерела