Matches in SemOpenAlex for { <https://semopenalex.org/work/W3173676194> ?p ?o ?g. }
- W3173676194 endingPage "322" @default.
- W3173676194 startingPage "322" @default.
- W3173676194 abstract "The development of forecasting models for the evaluation of potential slope instability after rainfall events represents an important issue for the scientific community. This topic has received considerable impetus due to the climate change effect on territories, as several studies demonstrate that an increase in global warming can significantly influence the landslide activity and stability conditions of natural and artificial slopes. A consolidated approach in evaluating rainfall-induced landslide hazard is based on the integration of rainfall forecasts and physically based (PB) predictive models through deterministic laws. However, considering the complex nature of the processes and the high variability of the random quantities involved, probabilistic approaches are recommended in order to obtain reliable predictions. A crucial aspect of the stochastic approach is represented by the definition of appropriate probability density functions (pdfs) to model the uncertainty of the input variables as this may have an important effect on the evaluation of the probability of failure (PoF). The role of the pdf definition on reliability analysis is discussed through a comparison of PoF maps generated using Monte Carlo (MC) simulations performed over a study area located in the Umbria region of central Italy. The study revealed that the use of uniform pdfs for the random input variables, often considered when a detailed geotechnical characterization for the soil is not available, could be inappropriate." @default.
- W3173676194 created "2021-07-05" @default.
- W3173676194 creator A5005913569 @default.
- W3173676194 creator A5007844138 @default.
- W3173676194 creator A5014858431 @default.
- W3173676194 creator A5028417591 @default.
- W3173676194 creator A5060137389 @default.
- W3173676194 creator A5069157077 @default.
- W3173676194 date "2021-07-30" @default.
- W3173676194 modified "2023-10-06" @default.
- W3173676194 title "The Impact of Probability Density Functions Assessment on Model Performance for Slope Stability Analysis" @default.
- W3173676194 cites W1977722830 @default.
- W3173676194 cites W1980324470 @default.
- W3173676194 cites W1988988493 @default.
- W3173676194 cites W1989990869 @default.
- W3173676194 cites W2006393930 @default.
- W3173676194 cites W2010103528 @default.
- W3173676194 cites W2010160979 @default.
- W3173676194 cites W2017458088 @default.
- W3173676194 cites W2021655341 @default.
- W3173676194 cites W2029651550 @default.
- W3173676194 cites W2033902162 @default.
- W3173676194 cites W2043593740 @default.
- W3173676194 cites W2069954085 @default.
- W3173676194 cites W2074981652 @default.
- W3173676194 cites W2079965317 @default.
- W3173676194 cites W2082208114 @default.
- W3173676194 cites W2092468448 @default.
- W3173676194 cites W2116660727 @default.
- W3173676194 cites W2119706421 @default.
- W3173676194 cites W2139348131 @default.
- W3173676194 cites W2140247421 @default.
- W3173676194 cites W2147555471 @default.
- W3173676194 cites W2159873507 @default.
- W3173676194 cites W2219492173 @default.
- W3173676194 cites W2273251202 @default.
- W3173676194 cites W2306438305 @default.
- W3173676194 cites W2332379098 @default.
- W3173676194 cites W2509507403 @default.
- W3173676194 cites W2514903468 @default.
- W3173676194 cites W2598139666 @default.
- W3173676194 cites W2600291882 @default.
- W3173676194 cites W2609964738 @default.
- W3173676194 cites W2783805773 @default.
- W3173676194 cites W2789284669 @default.
- W3173676194 cites W2934708281 @default.
- W3173676194 cites W2947901011 @default.
- W3173676194 cites W2972470080 @default.
- W3173676194 cites W2979342507 @default.
- W3173676194 cites W2997778075 @default.
- W3173676194 cites W3119756230 @default.
- W3173676194 cites W3122338683 @default.
- W3173676194 cites W3136058768 @default.
- W3173676194 cites W3146602854 @default.
- W3173676194 doi "https://doi.org/10.3390/geosciences11080322" @default.
- W3173676194 hasPublicationYear "2021" @default.
- W3173676194 type Work @default.
- W3173676194 sameAs 3173676194 @default.
- W3173676194 citedByCount "9" @default.
- W3173676194 countsByYear W31736761942021 @default.
- W3173676194 countsByYear W31736761942022 @default.
- W3173676194 countsByYear W31736761942023 @default.
- W3173676194 crossrefType "journal-article" @default.
- W3173676194 hasAuthorship W3173676194A5005913569 @default.
- W3173676194 hasAuthorship W3173676194A5007844138 @default.
- W3173676194 hasAuthorship W3173676194A5014858431 @default.
- W3173676194 hasAuthorship W3173676194A5028417591 @default.
- W3173676194 hasAuthorship W3173676194A5060137389 @default.
- W3173676194 hasAuthorship W3173676194A5069157077 @default.
- W3173676194 hasBestOaLocation W31736761941 @default.
- W3173676194 hasConcept C105795698 @default.
- W3173676194 hasConcept C111368507 @default.
- W3173676194 hasConcept C112972136 @default.
- W3173676194 hasConcept C119857082 @default.
- W3173676194 hasConcept C121332964 @default.
- W3173676194 hasConcept C122123141 @default.
- W3173676194 hasConcept C127313418 @default.
- W3173676194 hasConcept C132651083 @default.
- W3173676194 hasConcept C149782125 @default.
- W3173676194 hasConcept C153294291 @default.
- W3173676194 hasConcept C163258240 @default.
- W3173676194 hasConcept C186295008 @default.
- W3173676194 hasConcept C187320778 @default.
- W3173676194 hasConcept C18903297 @default.
- W3173676194 hasConcept C19499675 @default.
- W3173676194 hasConcept C197055811 @default.
- W3173676194 hasConcept C205649164 @default.
- W3173676194 hasConcept C25915931 @default.
- W3173676194 hasConcept C33923547 @default.
- W3173676194 hasConcept C39410599 @default.
- W3173676194 hasConcept C39432304 @default.
- W3173676194 hasConcept C41008148 @default.
- W3173676194 hasConcept C43214815 @default.
- W3173676194 hasConcept C49261128 @default.
- W3173676194 hasConcept C49937458 @default.
- W3173676194 hasConcept C62520636 @default.
- W3173676194 hasConcept C86803240 @default.
- W3173676194 hasConceptScore W3173676194C105795698 @default.