Zobrazeno 1 - 10
of 85
pro vyhledávání: '"J. V. L. Beckers"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Pp 4021-4036 (2017)
A non-parametric method is applied to quantify residual uncertainty in hydrologic streamflow forecasting. This method acts as a post-processor on deterministic model forecasts and generates a residual uncertainty distribution. Based on instance-ba
Externí odkaz:
https://doaj.org/article/da2cc873b0044df3ae5c19be4b5d1f6c
Publikováno v:
Hydrology and Earth System Sciences, Vol 20, Iss 8, Pp 3277-3287 (2016)
Oceanic–atmospheric climate modes, such as El Niño–Southern Oscillation (ENSO), are known to affect the local streamflow regime in many rivers around the world. A new method is proposed to incorporate climate mode information into the well-known
Externí odkaz:
https://doaj.org/article/ff14c5f6755942e8bc32d17511dcbeb2
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 14, Iss 10, Pp 2767-2781 (2014)
This paper discusses a new method for flood risk assessment in river deltas. Flood risk analysis of river deltas is complex, because both storm surges and river discharges may cause flooding and the effect of upstream breaches on downstream water lev
Externí odkaz:
https://doaj.org/article/1497c3b304624a5baa57ab626e37a688
Publikováno v:
Natural Hazards. 106:1421-1443
During storms, long-period water level oscillations can occur on the North Sea. The meteorological phenomena that cause these oscillations are known to a large extent and include atmospheric single pulse perturbations or oscillations of longer durati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbd918c58a74b0051f6bfdeb9cf0dd06
https://doi.org/10.1007/s11069-020-04081-x
https://doi.org/10.1007/s11069-020-04081-x
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783030736156
A risk profile provides information about the probabilities of event impacts of varying magnitudes. In this study, a probabilistic framework is developed to derive a national-scale flood risk profile, which can be used for disaster risk management an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f23747cb1f1ceb4a97656861949c460c
https://doi.org/10.1007/978-3-030-73616-3_8
https://doi.org/10.1007/978-3-030-73616-3_8
Autor:
Giuseppe Pezzo, Geert Prinsen, Cristiano Tolomei, J. V. L. Beckers, Angga T. Yuherdha, Stefano Salvi, Simone Atzori
Publikováno v:
IGARSS
In Indonesia land subsidence is occurring in several cities [1], and it is very important to evaluate the spatial and temporal patterns of deformation and investigate the originating processes. In this work, we attempt to define the rates and spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0625ec549f3aba1d83e3cc051a65755d
https://doi.org/10.1109/igarss.2019.8899102
https://doi.org/10.1109/igarss.2019.8899102
Publikováno v:
Australasian Journal of Water Resources. 20:160-168
Currently, there are two published Monte Carlo Simulations (MCS) methods for estimating design floods in Australia: The Cooperative Research Centre – Catchment Hydrology (CRC-CH) method and...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87db724a9faf01ab63f69f98094466d3
https://doi.org/10.1080/13241583.2017.1304019
https://doi.org/10.1080/13241583.2017.1304019
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 29:637-652
During flood events, breaching of flood defences along a river system can have a significant reducing effect on downstream water levels and flood risks. This paper presents a Monte Carlo based flood risk framework for policy decision making, which ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::492140f7ea409aa776ac8c83dacb7859
https://doi.org/10.1007/s00477-014-0921-4
https://doi.org/10.1007/s00477-014-0921-4
Publikováno v:
Hydrology and Earth System Sciences, 20(8), 3277-3287
Hydrology and Earth System Sciences 20 (2016) 8
Hydrology and Earth System Sciences, Vol 20, Iss 8, Pp 3277-3287 (2016)
Hydrology and Earth System Sciences 20 (2016) 8
Hydrology and Earth System Sciences, Vol 20, Iss 8, Pp 3277-3287 (2016)
Oceanic–atmospheric climate modes, such as El Niño–Southern Oscillation (ENSO), are known to affect the local streamflow regime in many rivers around the world. A new method is proposed to incorporate climate mode information into the well-known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d5f53164ef02d28e7336dc1d602ca64
https://research.wur.nl/en/publications/enso-conditioned-weather-resampling-method-for-seasonal-ensemble-
https://research.wur.nl/en/publications/enso-conditioned-weather-resampling-method-for-seasonal-ensemble-
Publikováno v:
Bulletin of the Korean Chemical Society. 30:857-862
We model lattice-mismatched group III-V semiconductor InxGa1-xAs alloys with the three-parameter anharmonic Kirkwood-Keating potential, which includes realistic distortion effect by introducing anharmonicity. Although the potential parameters were de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c4662376fd41e00e30dfe21a00c7c4
https://doi.org/10.5012/bkcs.2009.30.4.857
https://doi.org/10.5012/bkcs.2009.30.4.857