Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Pieter Meert"'
Publikováno v:
Journal of Flood Risk Management, Vol 13, Iss 4, Pp n/a-n/a (2020)
Abstract The vegetation along a river reach varies throughout a year. Seasonal vegetation affects the hydrodynamic behaviour of the river system. Accordingly, flood studies should take this temporal variation into account. This also applies to real
Externí odkaz:
https://doaj.org/article/3c4683c4c2974572a8b36c657daa84f7
Publikováno v:
Hydrological Processes. 34:1754-1767
ispartof: INTERNATIONAL JOURNAL OF CLIMATOLOGY vol:41 pages:E428-E444 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f446eb0fc00756a32a40cb0b56fe6fd7
https://lirias.kuleuven.be/handle/123456789/669011
https://lirias.kuleuven.be/handle/123456789/669011
Model predictive control (MPC) has shown to be an efficient technique for real-time flood control. The evaluation of the control performance is, however, typically restricted to a limited s...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebe944a45d11bcd65f98dbf8e79745f7
https://lirias.kuleuven.be/handle/123456789/674363
https://lirias.kuleuven.be/handle/123456789/674363
© 2018 Elsevier B.V. Recently, a combination of model predictive control and a reduced genetic algorithm (RGA-MPC) has shown to be an efficient control technique for real-time flood control, making use of fast conceptual river models. This technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51d0b9775ffcb2380cea0ea3015be2fd
https://lirias.kuleuven.be/handle/123456789/627538
https://lirias.kuleuven.be/handle/123456789/627538
As opposed to other disciplines, automated calibration procedures are not common practice for full hydrodynamic river models, mainly because of the long computation times impeding the accurate assessment of parameter values. Default or text-book valu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37e500236680ab941a2a523828e3642a
https://biblio.vub.ac.be/vubir/surrogate-modelingbased-calibration-of-hydrodynamic-river-model-parameters(0d31c604-69ab-43a3-bab6-a9fd8772c269).html
https://biblio.vub.ac.be/vubir/surrogate-modelingbased-calibration-of-hydrodynamic-river-model-parameters(0d31c604-69ab-43a3-bab6-a9fd8772c269).html
Publikováno v:
Journal of Water Resources Planning and Management. 144
This paper presents a novel meta-heuristic approach for real-time flood control. The approach combines model predictive control (MPC) with a reduced genetic algorithm (RGA) to quickly find ...
Publikováno v:
Control Engineering Practice. 21:1776-1787
It is shown how Model Predictive Control can be used for flood control of river systems modelled with real data. A linear model for the Demer, a river in Belgium, is derived, which is used inside the optimisation problem solved by the controller. Thi
Publikováno v:
E3S Web of Conferences, Vol 7, p 18023 (2016)
© 2016 The Authors, published by EDP Sciences. Real-time Model Predictive Control (MPC) of hydraulic structures strongly reduces flood consequences under ideal circumstances. The performance of such flood control may, however, be significantly affec