Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
HESS | Articles | Volume 24, issue 2
Hydrol. Earth Syst. Sci., 24, 735–759, 2020
https://doi.org/10.5194/hess-24-735-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 24, 735–759, 2020
https://doi.org/10.5194/hess-24-735-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 18 Feb 2020

Research article | 18 Feb 2020

Characterizing uncertainty in the hydraulic parameters of oil sands mine reclamation covers and its influence on water balance predictions

M. Shahabul Alam et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (02 Oct 2019) by Roberto Greco
AR by Md. Shahabul Alam on behalf of the Authors (09 Oct 2019)  Author's response    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (29 Oct 2019) by Roberto Greco
ED: Referee Nomination & Report Request started (04 Nov 2019) by Roberto Greco
RR by Claire Cote (12 Dec 2019)
ED: Publish as is (18 Dec 2019) by Roberto Greco
Publications Copernicus
Download
Short summary
This study quantifies uncertainties in the prediction of long-term water balance for mine reclamation soil covers using random sampling of model parameter distributions. Parameter distributions were obtained from model optimization for field monitoring data. Variability in climate is a greater source of uncertainty than the model parameters in evaporation predictions, while climate variability and model parameters exert similar uncertainty on predictions of net percolation.
This study quantifies uncertainties in the prediction of long-term water balance for mine...
Citation