On the generic utilization of probabilistic methods for quantification of uncertainty in process-based morphodynamic model applications

F. Scheel; W. P. De Boer; R. Brinkman; A. P. Luijendijk; R. Ranasinghe

On the generic utilization of probabilistic methods for quantification of uncertainty in process-based morphodynamic model applications

F. Scheel, W. P. De Boer, R. Brinkman, A. P. Luijendijk, R. Ranasinghe

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

A variety of uncertainty sources are inherent in process-based morphodynamic modelling applications. There is an increasing demand for the quantification of these uncertainties. This contribution introduces a probabilistic-morphodynamic (PM) modelling framework that enables this quantification. The PM modelling framework provides a systematic approach, while also lowering the required effort for inclusion of uncertainty quantification in morphodynamic model studies. Applicability and added value is shown using a pilot application to the Holland coast.

Original language	English
Title of host publication	Proceedings of the 34th International Conference on Coastal Engineering, ICCE 2014
Editors	Patrick Lynett
Publisher	American Society of Civil Engineers (ASCE)
ISBN (Electronic)	9780989661126
Publication status	Published - 2014
Event	34th International Conference on Coastal Engineering, ICCE 2014 - Seoul, Korea, Republic of Duration: 15 Jun 2014 → 20 Jun 2014

Publication series

Name	Proceedings of the Coastal Engineering Conference
Volume	2014-January
ISSN (Print)	0161-3782

Conference

Conference	34th International Conference on Coastal Engineering, ICCE 2014
Country/Territory	Korea, Republic of
City	Seoul
Period	15/06/14 → 20/06/14

Cite this

Scheel, F., De Boer, W. P., Brinkman, R., Luijendijk, A. P., & Ranasinghe, R. (2014). On the generic utilization of probabilistic methods for quantification of uncertainty in process-based morphodynamic model applications. In P. Lynett (Ed.), Proceedings of the 34th International Conference on Coastal Engineering, ICCE 2014 (Proceedings of the Coastal Engineering Conference; Vol. 2014-January). American Society of Civil Engineers (ASCE).

Scheel, F. ; De Boer, W. P. ; Brinkman, R. et al. / On the generic utilization of probabilistic methods for quantification of uncertainty in process-based morphodynamic model applications. Proceedings of the 34th International Conference on Coastal Engineering, ICCE 2014. editor / Patrick Lynett. American Society of Civil Engineers (ASCE), 2014. (Proceedings of the Coastal Engineering Conference).

@inproceedings{3eb460a74e6f4e3bb149cc37485ad90e,

title = "On the generic utilization of probabilistic methods for quantification of uncertainty in process-based morphodynamic model applications",

abstract = "A variety of uncertainty sources are inherent in process-based morphodynamic modelling applications. There is an increasing demand for the quantification of these uncertainties. This contribution introduces a probabilistic-morphodynamic (PM) modelling framework that enables this quantification. The PM modelling framework provides a systematic approach, while also lowering the required effort for inclusion of uncertainty quantification in morphodynamic model studies. Applicability and added value is shown using a pilot application to the Holland coast.",

keywords = "Holland coast, Morphodynamics, Probabilistic-morphodynamic modelling framework, Probabilistics, Process-based morphodynamic models, Uncertainties, Uncertainty quantification, Unibest CL+",

author = "F. Scheel and {De Boer}, {W. P.} and R. Brinkman and Luijendijk, {A. P.} and R. Ranasinghe",

year = "2014",

language = "English",

series = "Proceedings of the Coastal Engineering Conference",

publisher = "American Society of Civil Engineers (ASCE)",

editor = "Patrick Lynett",

booktitle = "Proceedings of the 34th International Conference on Coastal Engineering, ICCE 2014",

address = "United States",

note = "34th International Conference on Coastal Engineering, ICCE 2014 ; Conference date: 15-06-2014 Through 20-06-2014",

}

Scheel, F, De Boer, WP, Brinkman, R, Luijendijk, AP & Ranasinghe, R 2014, On the generic utilization of probabilistic methods for quantification of uncertainty in process-based morphodynamic model applications. in P Lynett (ed.), Proceedings of the 34th International Conference on Coastal Engineering, ICCE 2014. Proceedings of the Coastal Engineering Conference, vol. 2014-January, American Society of Civil Engineers (ASCE), 34th International Conference on Coastal Engineering, ICCE 2014, Seoul, Korea, Republic of, 15/06/14.

On the generic utilization of probabilistic methods for quantification of uncertainty in process-based morphodynamic model applications. / Scheel, F.; De Boer, W. P.; Brinkman, R. et al.
Proceedings of the 34th International Conference on Coastal Engineering, ICCE 2014. ed. / Patrick Lynett. American Society of Civil Engineers (ASCE), 2014. (Proceedings of the Coastal Engineering Conference; Vol. 2014-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - On the generic utilization of probabilistic methods for quantification of uncertainty in process-based morphodynamic model applications

AU - Scheel, F.

AU - De Boer, W. P.

AU - Brinkman, R.

AU - Luijendijk, A. P.

AU - Ranasinghe, R.

PY - 2014

Y1 - 2014

N2 - A variety of uncertainty sources are inherent in process-based morphodynamic modelling applications. There is an increasing demand for the quantification of these uncertainties. This contribution introduces a probabilistic-morphodynamic (PM) modelling framework that enables this quantification. The PM modelling framework provides a systematic approach, while also lowering the required effort for inclusion of uncertainty quantification in morphodynamic model studies. Applicability and added value is shown using a pilot application to the Holland coast.

AB - A variety of uncertainty sources are inherent in process-based morphodynamic modelling applications. There is an increasing demand for the quantification of these uncertainties. This contribution introduces a probabilistic-morphodynamic (PM) modelling framework that enables this quantification. The PM modelling framework provides a systematic approach, while also lowering the required effort for inclusion of uncertainty quantification in morphodynamic model studies. Applicability and added value is shown using a pilot application to the Holland coast.

KW - Holland coast

KW - Morphodynamics

KW - Probabilistic-morphodynamic modelling framework

KW - Probabilistics

KW - Process-based morphodynamic models

KW - Uncertainties

KW - Uncertainty quantification

KW - Unibest CL+

UR - http://www.scopus.com/inward/record.url?scp=84957615202&partnerID=8YFLogxK

M3 - Conference contribution

T3 - Proceedings of the Coastal Engineering Conference

BT - Proceedings of the 34th International Conference on Coastal Engineering, ICCE 2014

A2 - Lynett, Patrick

PB - American Society of Civil Engineers (ASCE)

T2 - 34th International Conference on Coastal Engineering, ICCE 2014

Y2 - 15 June 2014 through 20 June 2014

ER -

Scheel F, De Boer WP, Brinkman R, Luijendijk AP, Ranasinghe R. On the generic utilization of probabilistic methods for quantification of uncertainty in process-based morphodynamic model applications. In Lynett P, editor, Proceedings of the 34th International Conference on Coastal Engineering, ICCE 2014. American Society of Civil Engineers (ASCE). 2014. (Proceedings of the Coastal Engineering Conference).

On the generic utilization of probabilistic methods for quantification of uncertainty in process-based morphodynamic model applications

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