Show simple item record

dc.contributor.authorLuo, Liancong
dc.contributor.authorHamilton, David
dc.contributor.authorLan, Jia
dc.contributor.authorMcBride, Chris
dc.contributor.authorTrolle, Dennis
dc.date.accessioned2019-05-29T13:06:21Z
dc.date.available2019-05-29T13:06:21Z
dc.date.issued2018
dc.identifier.issn1991-959X
dc.identifier.doi10.5194/gmd-11-903-2018
dc.identifier.urihttp://hdl.handle.net/10072/380332
dc.description.abstractAutomated calibration of complex deterministic water quality models with a large number of biogeochemical parameters can reduce time-consuming iterative simulations involving empirical judgements of model fit. We undertook autocalibration of the one-dimensional hydrodynamic-ecological lake model DYRESM-CAEDYM, using a Monte Carlo sampling (MCS) method, in order to test the applicability of this procedure for shallow, polymictic Lake Rotorua (New Zealand). The calibration procedure involved independently minimizing the root-mean-square error (RMSE), maximizing the Pearson correlation coefficient (r) and Nash–Sutcliffe efficient coefficient (Nr) for comparisons of model state variables against measured data. An assigned number of parameter permutations was used for 10000 simulation iterations. The "optimal" temperature calibration produced a RMSE of 0.54°C, Nr value of 0.99, and r value of 0.98 through the whole water column based on comparisons with 540 observed water temperatures collected between 13 July 2007 and 13 January 2009. The modeled bottom dissolved oxygen concentration (20.5m below surface) was compared with 467 available observations. The calculated RMSE of the simulations compared with the measurements was 1.78mgL−1, the Nr value was 0.75, and the r value was 0.87. The autocalibrated model was further tested for an independent data set by simulating bottom-water hypoxia events from 15 January 2009 to 8 June 2011 (875 days). This verification produced an accurate simulation of five hypoxic events corresponding to DO < 2mgL−1 during summer of 2009–2011. The RMSE was 2.07mgL−1, Nr value 0.62, and r value of 0.81, based on the available data set of 738 days. The autocalibration software of DYRESM-CAEDYM developed here is substantially less time-consuming and more efficient in parameter optimization than traditional manual calibration which has been the standard tool practiced for similar complex water quality models.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherCopernicus GmbH
dc.publisher.placeGermany
dc.relation.ispartofpagefrom903
dc.relation.ispartofpageto913
dc.relation.ispartofjournalGeoscientific Model Development
dc.relation.ispartofvolume11
dc.subject.fieldofresearchEarth Sciences not elsewhere classified
dc.subject.fieldofresearchEarth Sciences
dc.subject.fieldofresearchcode049999
dc.subject.fieldofresearchcode04
dc.titleAutocalibration of a one-dimensional hydrodynamic-ecological model (DYRESM 4.0-CAEDYM 3.1) using a Monte Carlo approach: simulations of hypoxic events in a polymictic lake
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.description.versionPublished
gro.rights.copyright© The Author(s) 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorHamilton, David P.


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record