Building a staircase of confidence in groundwater modeling: a summary of ten years data collection and model development

Research output: Contribution to report/book/conference proceedingsIn-proceedings paperpeer-review

Standard

Building a staircase of confidence in groundwater modeling: a summary of ten years data collection and model development. / Gedeon, Matej; Mallants, Dirk; Rogiers, Bart.

MODFLOW and More 2013: Translating Science into Practice - Conference Proceedings. United States, 2013. p. 545-550.

Research output: Contribution to report/book/conference proceedingsIn-proceedings paperpeer-review

Harvard

Gedeon, M, Mallants, D & Rogiers, B 2013, Building a staircase of confidence in groundwater modeling: a summary of ten years data collection and model development. in MODFLOW and More 2013: Translating Science into Practice - Conference Proceedings. United States, pp. 545-550, MODFLOW and More 2013: Translating Science into Practice, Golden, CA, United States, 2013-06-02.

APA

Gedeon, M., Mallants, D., & Rogiers, B. (2013). Building a staircase of confidence in groundwater modeling: a summary of ten years data collection and model development. In MODFLOW and More 2013: Translating Science into Practice - Conference Proceedings (pp. 545-550).

Vancouver

Gedeon M, Mallants D, Rogiers B. Building a staircase of confidence in groundwater modeling: a summary of ten years data collection and model development. In MODFLOW and More 2013: Translating Science into Practice - Conference Proceedings. United States. 2013. p. 545-550

Author

Gedeon, Matej ; Mallants, Dirk ; Rogiers, Bart. / Building a staircase of confidence in groundwater modeling: a summary of ten years data collection and model development. MODFLOW and More 2013: Translating Science into Practice - Conference Proceedings. United States, 2013. pp. 545-550

Bibtex - Download

@inproceedings{3650f7ca7eb24d6f9fe09491b1e66566,
title = "Building a staircase of confidence in groundwater modeling: a summary of ten years data collection and model development",
abstract = "Building reliable models is an iterative process whereby uncertainties in the initial model are reduced progressively through data collection and sensitivity and uncertainly analysis. In the north of Belgium such an iterative research cycle was started some ten years ago for a surface repository for low-level radioactive waste. Within this period, two site characterizations and two groundwater models were preformed aiming at reducing uncertainty in the groundwater flow solution (i.e. heads) and contaminant transport solution (i.e. concentrations) in a systematic way guided by model sensitivity analyses. One-percent sensitivity maps identified the areas which would benefit most from additional head observations. The transport model prediction scaled sensitivities identified the parameters with the largest leverage. The sensitivity and uncertainty analyses informed the next data collection. Analysis of the data resulted in a refined stratigraphy for the entire model domain and improved the concept of a semi-permeable aquitard that separates the two major aquifers. With an improved 3D model structure and more reliable hydraulic properties, the updated model was shown to perform better, had less conceptual uncertainty about the aquitard and represents an arguably better tool to predict contaminant transport.",
keywords = "piezometric network, groundwater modeling, site characterization, cAt",
author = "Matej Gedeon and Dirk Mallants and Bart Rogiers",
note = "Score = 3; MODFLOW and More 2013: Translating Science into Practice ; Conference date: 02-06-2013 Through 05-06-2013",
year = "2013",
month = jun,
language = "English",
pages = "545--550",
booktitle = "MODFLOW and More 2013: Translating Science into Practice - Conference Proceedings",

}

RIS - Download

TY - GEN

T1 - Building a staircase of confidence in groundwater modeling: a summary of ten years data collection and model development

AU - Gedeon, Matej

AU - Mallants, Dirk

AU - Rogiers, Bart

N1 - Score = 3

PY - 2013/6

Y1 - 2013/6

N2 - Building reliable models is an iterative process whereby uncertainties in the initial model are reduced progressively through data collection and sensitivity and uncertainly analysis. In the north of Belgium such an iterative research cycle was started some ten years ago for a surface repository for low-level radioactive waste. Within this period, two site characterizations and two groundwater models were preformed aiming at reducing uncertainty in the groundwater flow solution (i.e. heads) and contaminant transport solution (i.e. concentrations) in a systematic way guided by model sensitivity analyses. One-percent sensitivity maps identified the areas which would benefit most from additional head observations. The transport model prediction scaled sensitivities identified the parameters with the largest leverage. The sensitivity and uncertainty analyses informed the next data collection. Analysis of the data resulted in a refined stratigraphy for the entire model domain and improved the concept of a semi-permeable aquitard that separates the two major aquifers. With an improved 3D model structure and more reliable hydraulic properties, the updated model was shown to perform better, had less conceptual uncertainty about the aquitard and represents an arguably better tool to predict contaminant transport.

AB - Building reliable models is an iterative process whereby uncertainties in the initial model are reduced progressively through data collection and sensitivity and uncertainly analysis. In the north of Belgium such an iterative research cycle was started some ten years ago for a surface repository for low-level radioactive waste. Within this period, two site characterizations and two groundwater models were preformed aiming at reducing uncertainty in the groundwater flow solution (i.e. heads) and contaminant transport solution (i.e. concentrations) in a systematic way guided by model sensitivity analyses. One-percent sensitivity maps identified the areas which would benefit most from additional head observations. The transport model prediction scaled sensitivities identified the parameters with the largest leverage. The sensitivity and uncertainty analyses informed the next data collection. Analysis of the data resulted in a refined stratigraphy for the entire model domain and improved the concept of a semi-permeable aquitard that separates the two major aquifers. With an improved 3D model structure and more reliable hydraulic properties, the updated model was shown to perform better, had less conceptual uncertainty about the aquitard and represents an arguably better tool to predict contaminant transport.

KW - piezometric network

KW - groundwater modeling

KW - site characterization

KW - cAt

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_129752

UR - http://knowledgecentre.sckcen.be/so2/bibref/10379

M3 - In-proceedings paper

SP - 545

EP - 550

BT - MODFLOW and More 2013: Translating Science into Practice - Conference Proceedings

CY - United States

T2 - MODFLOW and More 2013: Translating Science into Practice

Y2 - 2 June 2013 through 5 June 2013

ER -

ID: 120816