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A stochastic model approach for optimisation of lowland river restoration works. / van Vuren, Saskia; de Vriend, H.J.; Barneveld, Hermjan.

In: Journal of Earth Science, Vol. 27, No. 1, 01.02.2016, p. 55-67.

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van Vuren, Saskia ; de Vriend, H.J. ; Barneveld, Hermjan. / A stochastic model approach for optimisation of lowland river restoration works. In: Journal of Earth Science. 2016 ; Vol. 27, No. 1. pp. 55-67.

BibTeX

@article{5ba8b9a0a2734b15aa1586383932c8ae,
title = "A stochastic model approach for optimisation of lowland river restoration works",
abstract = "Over the course of centuries, river systems have been heavily trained for the purpose of safe discharge of water, sediment and ice, and improves navigation. Traditionally, dikes are used to be reinforced and heightened to protect countries from ever higher flood levels. Other types of solutions than technical engineering solutions, such as measures to increase the flood conveyance capacity (e.g., lowering of groynes and floodplains, setting back dikes) become more popular. These solutions may however increase the river bed dynamics and thus impact negatively navigation, maintenance dredging and flood safety. A variety of numerical models are available to predict the impact of river restoration works on river processes. Often little attention is paid to the assessment of uncertainties. In this paper, we show how we can make uncertainty explicit using a stochastic approach. This approach helps identifying uncertainty sources and assessing their contribution to the overall uncertainty in river processes. The approach gives engineers a better understanding of system behaviour and enables them to intervene with the river system, so as to avoid undesired situations. We illustrate the merits of this stochastic approach for optimising lowland river restoration works in the Rhine in the Netherlands.",
keywords = "dredging, flood protection, navigation, river restoration, Room for the River program, stochastic approach",
author = "{van Vuren}, Saskia and {de Vriend}, H.J. and Hermjan Barneveld",
year = "2016",
month = "2",
day = "1",
doi = "10.1007/s12583-016-0629-0",
language = "English",
volume = "27",
pages = "55--67",
journal = "Journal of Earth Science",
issn = "1674-487X",
publisher = "China University of Geosciences",
number = "1",

}

RIS

TY - JOUR

T1 - A stochastic model approach for optimisation of lowland river restoration works

AU - van Vuren, Saskia

AU - de Vriend, H.J.

AU - Barneveld, Hermjan

PY - 2016/2/1

Y1 - 2016/2/1

N2 - Over the course of centuries, river systems have been heavily trained for the purpose of safe discharge of water, sediment and ice, and improves navigation. Traditionally, dikes are used to be reinforced and heightened to protect countries from ever higher flood levels. Other types of solutions than technical engineering solutions, such as measures to increase the flood conveyance capacity (e.g., lowering of groynes and floodplains, setting back dikes) become more popular. These solutions may however increase the river bed dynamics and thus impact negatively navigation, maintenance dredging and flood safety. A variety of numerical models are available to predict the impact of river restoration works on river processes. Often little attention is paid to the assessment of uncertainties. In this paper, we show how we can make uncertainty explicit using a stochastic approach. This approach helps identifying uncertainty sources and assessing their contribution to the overall uncertainty in river processes. The approach gives engineers a better understanding of system behaviour and enables them to intervene with the river system, so as to avoid undesired situations. We illustrate the merits of this stochastic approach for optimising lowland river restoration works in the Rhine in the Netherlands.

AB - Over the course of centuries, river systems have been heavily trained for the purpose of safe discharge of water, sediment and ice, and improves navigation. Traditionally, dikes are used to be reinforced and heightened to protect countries from ever higher flood levels. Other types of solutions than technical engineering solutions, such as measures to increase the flood conveyance capacity (e.g., lowering of groynes and floodplains, setting back dikes) become more popular. These solutions may however increase the river bed dynamics and thus impact negatively navigation, maintenance dredging and flood safety. A variety of numerical models are available to predict the impact of river restoration works on river processes. Often little attention is paid to the assessment of uncertainties. In this paper, we show how we can make uncertainty explicit using a stochastic approach. This approach helps identifying uncertainty sources and assessing their contribution to the overall uncertainty in river processes. The approach gives engineers a better understanding of system behaviour and enables them to intervene with the river system, so as to avoid undesired situations. We illustrate the merits of this stochastic approach for optimising lowland river restoration works in the Rhine in the Netherlands.

KW - dredging

KW - flood protection

KW - navigation

KW - river restoration

KW - Room for the River program

KW - stochastic approach

UR - http://www.scopus.com/inward/record.url?scp=84957054569&partnerID=8YFLogxK

U2 - 10.1007/s12583-016-0629-0

DO - 10.1007/s12583-016-0629-0

M3 - Article

VL - 27

SP - 55

EP - 67

JO - Journal of Earth Science

T2 - Journal of Earth Science

JF - Journal of Earth Science

SN - 1674-487X

IS - 1

ER -

ID: 13533443