Matches in SemOpenAlex for { <https://semopenalex.org/work/W3044704208> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W3044704208 abstract "For many environmental applications, field measurement techniques are increasingly evolving, resulting in more complex and complete datasets. The statistical analysis of these datasets is challenging, and requires the use of relevant mathematical tools. Furthermore, the access to a richer collection of data offers a new optimistic perspective on data-driven modeling, to complement, or even replace, process-based modeling. The presented work is within the context of a power plant water intake monitoring. The intake channel is subject to massive sediment arrivals, which represents a clogging risk. One of the challenges is therefore to better understand the sediment dynamics observed in the channel, and to characterize their correlation to environmental forcing. The final goal is to proceed to the forecasting of the dynamics using the knowledge of forcing parameters. Luckily, due to monitoring needs, bathymetric measurements of the channel are realized on a regular basis, along with meteorological and hydrodynamic survey. A statistical study is hereby proposed on the basis of this data. Firstly, a Proper Orthogonal Decomposition (POD) is applied to the two-dimensional bathymetric data set, in order to reduce it to a low-dimensional set of time dependent scalar coefficients. The latter are linked to the physical forcings via an adapted statistical model. In this study, a Polynomial Chaos Expansion (PCE) is used for this purpose. Consequently, a data-driven model is proposed, on the basis of a POD-PCE coupling. The proposed step-by-step methodology could also be transposed to other applications." @default.
- W3044704208 created "2020-07-29" @default.
- W3044704208 creator A5022714441 @default.
- W3044704208 creator A5025500048 @default.
- W3044704208 creator A5029628502 @default.
- W3044704208 creator A5043598598 @default.
- W3044704208 creator A5058363931 @default.
- W3044704208 date "2020-01-01" @default.
- W3044704208 modified "2023-09-25" @default.
- W3044704208 title "A Predictive Data-Driven Approach Based on Reduced Order Models for the Morphodynamic Study of a Coastal Water Intake" @default.
- W3044704208 cites W1633869374 @default.
- W3044704208 cites W1966429861 @default.
- W3044704208 cites W1966668221 @default.
- W3044704208 cites W2002859062 @default.
- W3044704208 cites W2012319197 @default.
- W3044704208 cites W2769280157 @default.
- W3044704208 cites W2779065732 @default.
- W3044704208 cites W2804425316 @default.
- W3044704208 doi "https://doi.org/10.1007/978-981-15-5436-0_66" @default.
- W3044704208 hasPublicationYear "2020" @default.
- W3044704208 type Work @default.
- W3044704208 sameAs 3044704208 @default.
- W3044704208 citedByCount "0" @default.
- W3044704208 crossrefType "book-chapter" @default.
- W3044704208 hasAuthorship W3044704208A5022714441 @default.
- W3044704208 hasAuthorship W3044704208A5025500048 @default.
- W3044704208 hasAuthorship W3044704208A5029628502 @default.
- W3044704208 hasAuthorship W3044704208A5043598598 @default.
- W3044704208 hasAuthorship W3044704208A5058363931 @default.
- W3044704208 hasConcept C114466953 @default.
- W3044704208 hasConcept C124101348 @default.
- W3044704208 hasConcept C127162648 @default.
- W3044704208 hasConcept C134306372 @default.
- W3044704208 hasConcept C166957645 @default.
- W3044704208 hasConcept C174943157 @default.
- W3044704208 hasConcept C177264268 @default.
- W3044704208 hasConcept C197115733 @default.
- W3044704208 hasConcept C199360897 @default.
- W3044704208 hasConcept C205649164 @default.
- W3044704208 hasConcept C2779343474 @default.
- W3044704208 hasConcept C31258907 @default.
- W3044704208 hasConcept C33923547 @default.
- W3044704208 hasConcept C41008148 @default.
- W3044704208 hasConcept C58640448 @default.
- W3044704208 hasConceptScore W3044704208C114466953 @default.
- W3044704208 hasConceptScore W3044704208C124101348 @default.
- W3044704208 hasConceptScore W3044704208C127162648 @default.
- W3044704208 hasConceptScore W3044704208C134306372 @default.
- W3044704208 hasConceptScore W3044704208C166957645 @default.
- W3044704208 hasConceptScore W3044704208C174943157 @default.
- W3044704208 hasConceptScore W3044704208C177264268 @default.
- W3044704208 hasConceptScore W3044704208C197115733 @default.
- W3044704208 hasConceptScore W3044704208C199360897 @default.
- W3044704208 hasConceptScore W3044704208C205649164 @default.
- W3044704208 hasConceptScore W3044704208C2779343474 @default.
- W3044704208 hasConceptScore W3044704208C31258907 @default.
- W3044704208 hasConceptScore W3044704208C33923547 @default.
- W3044704208 hasConceptScore W3044704208C41008148 @default.
- W3044704208 hasConceptScore W3044704208C58640448 @default.
- W3044704208 hasLocation W30447042081 @default.
- W3044704208 hasOpenAccess W3044704208 @default.
- W3044704208 hasPrimaryLocation W30447042081 @default.
- W3044704208 hasRelatedWork W2990258 @default.
- W3044704208 hasRelatedWork W3884061 @default.
- W3044704208 hasRelatedWork W4272546 @default.
- W3044704208 hasRelatedWork W4827627 @default.
- W3044704208 hasRelatedWork W5223958 @default.
- W3044704208 hasRelatedWork W531633 @default.
- W3044704208 hasRelatedWork W5521957 @default.
- W3044704208 hasRelatedWork W7551720 @default.
- W3044704208 hasRelatedWork W9269757 @default.
- W3044704208 hasRelatedWork W9299320 @default.
- W3044704208 isParatext "false" @default.
- W3044704208 isRetracted "false" @default.
- W3044704208 magId "3044704208" @default.
- W3044704208 workType "book-chapter" @default.