Results 1 to 10 of about 2,517 (117)

Comparison of Spatio-Temporal Variability of Daily Maximum Flows in Cold-Season (Winter and Spring) in Southern Quebec (Canada)

open access: yesHydrology, 2023
Quebec has experienced a significant decrease in the amount of snow and an increase in temperature during the cold season. The objective of this study is to analyze the impacts of these climate changes on the spatio-temporal variability of the daily ...
Ali Arkamose Assani
doaj   +3 more sources

CURTAINs flows for flows: Constructing unobserved regions with maximum likelihood estimation

open access: yesSciPost Physics
Model independent techniques for constructing background data templates using generative models have shown great promise for use in searches for new physics processes at the LHC.
Debajyoti Sengupta, Sam Klein, John Andrew Raine, Tobias Golling
doaj   +3 more sources

Spatiotemporal variability of fall daily maximum flows in southern Quebec (Canada) from 1930 to 2018

open access: yesJournal of Flood Risk Management
Quebec is experiencing a significant increase in summer and fall temperatures and rainfall. This study compares the spatiotemporal variability of maximum daily flows generated by rainfall during the fall season (September–December) in relation to this ...
Ali A. Assani
doaj   +2 more sources

Fast floods on the tributaries of Trotuș river, in the context of current climate change [PDF]

open access: yesPresent Environment and Sustainable Development, 2022
The paper presents an analysis of the flood formation module in the Trotuș river basin and especially on its tributaries. A special situation was recorded in 2004 when the floods formed on the tributaries presented very high flows, but which did not ...
Mihaela (TAMAS) AVRAM   +2 more
doaj   +1 more source

General principle of maximum pressure in stationary flows of inviscid gas [PDF]

open access: yesVestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2022
Within the framework of the Euler equations, the possibility of achieving extreme pressure values at the inner point of a stationary flow of a nonviscous gas is considered. The flow can be non-barotropic.
Grigory B. Sizykh
doaj   +1 more source

Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria [PDF]

open access: yesHydrology and Earth System Sciences, 2021
Hydrological regimes of alpine catchments are expected to be strongly affected by climate change, mostly due to their dependence on snow and ice dynamics.
S. Hanus   +7 more
doaj   +1 more source

Ratio-balanced maximum flows [PDF]

open access: yesInformation Processing Letters, 2019
When a loan is approved for a person or company, the bank is subject to \emph{credit risk}; the risk that the lender defaults. To mitigate this risk, a bank will require some form of \emph{security}, which will be collected if the lender defaults. Accounts can be secured by several securities and a security can be used for several accounts. The goal is
Hannaneh Akrami   +2 more
openaire   +4 more sources

Climate Change Impact on the Magnitude and Timing of Hydrological Extremes Across Great Britain

open access: yesFrontiers in Water, 2021
Climate change could intensify hydrological extremes, changing not just the magnitude but also the timing of flood and drought events. Understanding these potential future changes to hydrological extremes at the national level is critical to guide policy
Rosanna A. Lane, Alison L. Kay
doaj   +1 more source

Features of the Maximum Water Flows of the Arpa River Under Modern Conditions [PDF]

open access: yesE3S Web of Conferences, 2021
The paper discusses the main regularities of the peak flood discharge distribution in modern conditions, using actual data of Hydrometeorology and Monitoring Center SNCO with Ministry of Environment of the Republic of Armenia on the peak flood discharge ...
Margaryan Varduhi   +5 more
doaj   +1 more source

A randomized maximum-flow algorithm [PDF]

open access: yes30th Annual Symposium on Foundations of Computer Science, 1989
Summary: A randomized algorithm for computing a maximum flow is presented. For an \(n\)-vertex \(m\)-edge network, the running time is \(O(nm + n^2 (\log n)^2)\) with probability at least \(1 - 2^{- \sqrt {nm}}\). The algorithm is always correct, and in the worst case runs in \(O(nm \log n)\) time.
Cheriyan, J., Hagerup, T.
openaire   +2 more sources

Home - About - Disclaimer - Privacy