Swinburne
Browse
- No file added yet -

Assessing the impact of grid cell properties in spatial discretization of groundwater model

Download (718.15 kB)
conference contribution
posted on 2024-07-26, 14:35 authored by D. K.S.Y. Klaas, Monzur ImteazMonzur Imteaz, Arul ArulrajahArul Arulrajah, I. Sudiayem, E. M.E. Klaas, E. C.M. Klaas
In groundwater modelling the validity of both calibration and validation processes depends on how well the hydrogeological properties of the investigated area are conceptually, spatially and temporally represented in the model. A good discretization represented by optimal choice of size and number of cells would essentially improve the accuracy and efficiency of the model while reducing the complexity of model through lesser time and cost consumption. In this study, models with five different spatial discretization schemes; 10 x 10 m, 20 x 20 m, 30 x 30 m, 40 x 40 m and 50 x 50 m were developed. The trends of the performances were calculated at each observation well and compared with grid cell size and distance between centre of grid and observation well. It is confirmed that the deterioration of model performance is mainly controlled by the increase of distance between well and centre of the cell, and the cell size.

History

Available versions

PDF (Published version)

ISSN

1755-1315

Journal title

IOP Conference Series: Earth and Environmental Science Vol 109: International Conference on Eco Engineering Development 2017, ICEED 2017

Conference name

International Conference on Eco Engineering Development 2017, ICEED 2017

Location

Yogyakarta

Start date

2017-11-14

End date

2017-11-15

Volume

109

Issue

1

Pagination

012037-

Publisher

Institute of Physics Publishing

Copyright statement

Copyright © 2017. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd.

Language

eng

Usage metrics

    Publications

    Categories

    No categories selected

    Keywords

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC