Case Study Kleine Nete: Observation Error and Uncertainty

Wouter Zijl; Florimond De Smedt; Mustafa El-Rawy; Okke Batelaan

doi:10.1007/978-3-319-71342-7_5

Case Study Kleine Nete: Observation Error and Uncertainty

Wouter Zijl, Florimond De Smedt, Mustafa El-Rawy, Okke Batelaan

College of Science and Engineering

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

Abstract

This chapter deals with a realistic case study in which a time series of conductivity observations by the double constraint methodology (DCM) is combined with the Kalman filter to determine the observation uncertainty from the spread of the observation noise.

Original language	English
Title of host publication	The Double Constraint Inversion Methodology
Subtitle of host publication	Equations and Applications in Forward and Inverse Modeling of Groundwater Flow
Editors	Wouter Zijl, Florimond De Smedt, Mustafa El-Rawy, Okke Batelaan
Publisher	Springer
Chapter	5
Pages	75-86
Number of pages	12
Edition	9783319713410
ISBN (Electronic)	978-3-319-71342-
ISBN (Print)	9783319713410
DOIs	https://doi.org/10.1007/978-3-319-71342-7_5
Publication status	Published - 2018

Publication series

Name	SpringerBriefs in Applied Sciences and Technology
Number	9783319713410
ISSN (Print)	2191-530X
ISSN (Electronic)	2191-5318

Bibliographical note

©The Author(s) 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations,recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.

Keywords

Porous media
Double Constraint Method
observation error
uncertainty
inverse modeling

Access to Document

10.1007/978-3-319-71342-7_5Licence: In Copyright

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Case Study Kleine Nete: Observation Error and Uncertainty'. Together they form a unique fingerprint.

Cite this

Zijl, W., De Smedt, F., El-Rawy, M., & Batelaan, O. (2018). Case Study Kleine Nete: Observation Error and Uncertainty. In W. Zijl, F. De Smedt, M. El-Rawy, & O. Batelaan (Eds.), The Double Constraint Inversion Methodology: Equations and Applications in Forward and Inverse Modeling of Groundwater Flow (9783319713410 ed., pp. 75-86). (SpringerBriefs in Applied Sciences and Technology; No. 9783319713410). Springer. https://doi.org/10.1007/978-3-319-71342-7_5

Zijl, Wouter ; De Smedt, Florimond ; El-Rawy, Mustafa ; Batelaan, Okke. / Case Study Kleine Nete : Observation Error and Uncertainty. The Double Constraint Inversion Methodology: Equations and Applications in Forward and Inverse Modeling of Groundwater Flow. editor / Wouter Zijl ; Florimond De Smedt ; Mustafa El-Rawy ; Okke Batelaan. 9783319713410. ed. Springer, 2018. pp. 75-86 (SpringerBriefs in Applied Sciences and Technology; 9783319713410).

@inbook{5aab91c86c58490d88e8a1dbafeecb77,

title = "Case Study Kleine Nete: Observation Error and Uncertainty",

abstract = "This chapter deals with a realistic case study in which a time series of conductivity observations by the double constraint methodology (DCM) is combined with the Kalman filter to determine the observation uncertainty from the spread of the observation noise.",

keywords = "Porous media, Double Constraint Method, observation error, uncertainty, inverse modeling",

author = "Wouter Zijl and {De Smedt}, Florimond and Mustafa El-Rawy and Okke Batelaan",

note = "{\textcopyright}The Author(s) 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations,recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.",

year = "2018",

doi = "10.1007/978-3-319-71342-7_5",

language = "English",

isbn = "9783319713410",

series = "SpringerBriefs in Applied Sciences and Technology",

publisher = "Springer",

number = "9783319713410",

pages = "75--86",

editor = "Zijl, {Wouter } and {De Smedt}, {Florimond } and El-Rawy, {Mustafa } and Batelaan, {Okke }",

booktitle = "The Double Constraint Inversion Methodology",

edition = "9783319713410",

}

Zijl, W, De Smedt, F, El-Rawy, M & Batelaan, O 2018, Case Study Kleine Nete: Observation Error and Uncertainty. in W Zijl, F De Smedt, M El-Rawy & O Batelaan (eds), The Double Constraint Inversion Methodology: Equations and Applications in Forward and Inverse Modeling of Groundwater Flow. 9783319713410 edn, SpringerBriefs in Applied Sciences and Technology, no. 9783319713410, Springer, pp. 75-86. https://doi.org/10.1007/978-3-319-71342-7_5

Case Study Kleine Nete : Observation Error and Uncertainty. / Zijl, Wouter; De Smedt, Florimond; El-Rawy, Mustafa; Batelaan, Okke.

The Double Constraint Inversion Methodology: Equations and Applications in Forward and Inverse Modeling of Groundwater Flow. ed. / Wouter Zijl; Florimond De Smedt; Mustafa El-Rawy; Okke Batelaan. 9783319713410. ed. Springer, 2018. p. 75-86 (SpringerBriefs in Applied Sciences and Technology; No. 9783319713410).

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

TY - CHAP

T1 - Case Study Kleine Nete

T2 - Observation Error and Uncertainty

AU - Zijl, Wouter

AU - De Smedt, Florimond

AU - El-Rawy, Mustafa

AU - Batelaan, Okke

N1 - ©The Author(s) 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations,recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.

PY - 2018

Y1 - 2018

N2 - This chapter deals with a realistic case study in which a time series of conductivity observations by the double constraint methodology (DCM) is combined with the Kalman filter to determine the observation uncertainty from the spread of the observation noise.

AB - This chapter deals with a realistic case study in which a time series of conductivity observations by the double constraint methodology (DCM) is combined with the Kalman filter to determine the observation uncertainty from the spread of the observation noise.

KW - Porous media

KW - Double Constraint Method

KW - observation error

KW - uncertainty

KW - inverse modeling

UR - http://www.scopus.com/inward/record.url?scp=85039417235&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-71342-7_5

DO - 10.1007/978-3-319-71342-7_5

M3 - Chapter

SN - 9783319713410

T3 - SpringerBriefs in Applied Sciences and Technology

SP - 75

EP - 86

BT - The Double Constraint Inversion Methodology

A2 - Zijl, Wouter

A2 - De Smedt, Florimond

A2 - El-Rawy, Mustafa

A2 - Batelaan, Okke

PB - Springer

ER -

Zijl W, De Smedt F, El-Rawy M, Batelaan O. Case Study Kleine Nete: Observation Error and Uncertainty. In Zijl W, De Smedt F, El-Rawy M, Batelaan O, editors, The Double Constraint Inversion Methodology: Equations and Applications in Forward and Inverse Modeling of Groundwater Flow. 9783319713410 ed. Springer. 2018. p. 75-86. (SpringerBriefs in Applied Sciences and Technology; 9783319713410). https://doi.org/10.1007/978-3-319-71342-7_5