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dc.contributor.authorLuo, Liancong
dc.contributor.authorHamilton, David
dc.contributor.authorLan, Jia
dc.contributor.authorMcBride, Chris
dc.contributor.authorTrolle, Dennis
dc.date.accessioned2020-12-11T06:22:04Z
dc.date.available2020-12-11T06:22:04Z
dc.date.issued2018
dc.identifier.issn1991-9611
dc.identifier.doi10.5194/gmd-2017-182
dc.identifier.urihttp://hdl.handle.net/10072/400195
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 10 000 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 (20.5 m below surface) was compared with 467 available observations. The calculated RMSE of the simulations compared with the measurements was 1.78 mg L−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 < 2 mg L−1 during summer of 2009–2011. The RMSE was 2.07 mg L−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.language.isoeng
dc.publisherCopernicus Publications
dc.publisher.placeGermany
dc.relation.ispartofpagefrom903
dc.relation.ispartofpageto913
dc.relation.ispartofissue3
dc.relation.ispartofjournalGeoscientific Model Development Discussions
dc.relation.ispartofvolume11
dc.subject.fieldofresearchEarth sciences
dc.subject.fieldofresearchOther earth sciences not elsewhere classified
dc.subject.fieldofresearchcode37
dc.subject.fieldofresearchcode379999
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
dcterms.bibliographicCitationLuo, L; Hamilton, D; Lan, J; McBride, C; Trolle, D, Autocalibration 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, Geoscientific Model Development Discussions, 2018, 11 (3), pp. 903-913
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2020-12-11T06:13:11Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© Author(s) 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, 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.


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