2013
DOI: 10.1080/10402381.2013.837565
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Predicting effects of reservoir expansion with three-dimensional modeling: Case study of Los Vaqueros Reservoir

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Cited by 2 publications
(3 citation statements)
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“…The CAEDYM ecology-water quality model is less robust than DYRESM due to the ecological and biogeochemical complexity and unique features of a given lake or reservoir (Martin et al 2013). DO concentrations in April 2010 were well reproduced by the model (Fig.…”
Section: Model Validationmentioning
confidence: 99%
See 1 more Smart Citation
“…The CAEDYM ecology-water quality model is less robust than DYRESM due to the ecological and biogeochemical complexity and unique features of a given lake or reservoir (Martin et al 2013). DO concentrations in April 2010 were well reproduced by the model (Fig.…”
Section: Model Validationmentioning
confidence: 99%
“…Numerical modeling is increasingly used to guide lake and reservoir management; recent examples include an assessment of the effects of expansion of the Los Vaqueros Reservoir in California (Martin et al 2013), modeling of water age and thermal structure of Lake Mead under changing water levels (Li et al 2010), effects of hypolimnetic oxygenation in Lake Serraia in Italy (Toffolon and Serafini 2013), and the modeling of surface flow and transport in Lake Pontchartrain in Louisana (Chao et al 2012).…”
mentioning
confidence: 99%
“…Although this approach is still sometimes recommended (Yu et al., 2022), it can be highly inefficient in terms of both time needed and effects obtained. Nonetheless, manual calibration is frequently used for computationally demanding, 2D (Diogo et al., 2008; Ishikawa et al., 2022; Zouabi‐Aloui et al., 2015) and 3D (Castelletti et al., 2010; Hodges & Dallimore, 2001; Hui et al., 2018; B. Martin et al., 2013; Missaghi & Hondzo, 2010; Preston et al., 2014; Soulignac et al., 2017) thermo‐hydrodynamic lake or reservoir models. The other approach is using gradient, or second‐order derivative‐based algorithms (Battiti, 1992; Levenberg, 1944), which are often fast and accurate in finding the local optimum.…”
Section: Model Performancementioning
confidence: 99%