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International Journal for Uncertainty Quantification

Publicado 6 números por año

ISSN Imprimir: 2152-5080

ISSN En Línea: 2152-5099

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.9 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.5 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0007 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.5 SJR: 0.584 SNIP: 0.676 CiteScore™:: 3 H-Index: 25

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PROBABILISTIC PREDICTIONS OF INFILTRATION INTO HETEROGENEOUS MEDIA WITH UNCERTAIN HYDRAULIC PARAMETERS

Volumen 1, Edición 1, 2011, pp. 35-47
DOI: 10.1615/Int.J.UncertaintyQuantification.v1.i1.30
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SINOPSIS

Soil heterogeneity and the lack of detailed site characterization are two ubiquitous factors that render predictions of flow and transport in the vadose zone inherently uncertain. We employ the Green-Ampt model of infiltration and the Dagan- Bresler statistical parameterization of soil properties to compute probability density functions (PDFs) of infiltration rate and infiltration depth. By going beyond uncertainty quantification approaches based on mean and variance of system states, these PDF solutions enable one to evaluate probabilities of rare events that are required for probabilistic risk assessment. We investigate the temporal evolution of the PDFs of infiltration depth and corresponding infiltration rate, the relative importance of uncertainty in various hydraulic parameters and their cross-correlation, and the impact of the choice of a functional form of the hydraulic function.

CITADO POR
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  2. Tartakovsky Daniel M., Assessment and management of risk in subsurface hydrology: A review and perspective, Advances in Water Resources, 51, 2013. Crossref

  3. Rousseau M., Cerdan O., Ern A., Le Maître O., Sochala P., Study of overland flow with uncertain infiltration using stochastic tools, Advances in Water Resources, 38, 2012. Crossref

  4. Wang P., Tartakovsky D. M., Jarman K. D., Tartakovsky A. M., CDF Solutions of Buckley--Leverett Equation with Uncertain Parameters, Multiscale Modeling & Simulation, 11, 1, 2013. Crossref

  5. Vico Giulia, Porporato Amilcare, Probabilistic description of crop development and irrigation water requirements with stochastic rainfall, Water Resources Research, 49, 3, 2013. Crossref

  6. Dou Hong-qiang, Han Tong-chun, Gong Xiao-nan, Zhang Jie, Probabilistic slope stability analysis considering the variability of hydraulic conductivity under rainfall infiltration–redistribution conditions, Engineering Geology, 183, 2014. Crossref

  7. Basile Angelo, Bonfante Antonello, Coppola Antonio, De Mascellis Roberto, Falanga Bolognesi Salvatore, Terribile Fabio, Manna Piero, How does PTF Interpret Soil Heterogeneity? A Stochastic Approach Applied to a Case Study on Maize in Northern Italy, Water, 11, 2, 2019. Crossref

  8. Sharma Sahil, Swami Deepak, Thakur Chandni, Uncertainty in soil hydraulic parameters: A review of basics and methods, WEENTECH Proceedings in Energy, 2021. Crossref

  9. Sattar Ahmed M. A., Prediction of Organic Micropollutant Removal in Soil Aquifer Treatment System Using GEP, Journal of Hydrologic Engineering, 21, 9, 2016. Crossref

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