Annual water residence time effects on thermal structure: A potential lake restoration measure?

Olsson, Freya; Mackay, Eleanor B.; Moore, Tadhg; Barker, Phil; Davies, Sian; Hall, R. O.; Spears, Bryan M.; Wilkinson, Jayne; Jones, Ian D.

doi:10.1016/j.jenvman.2022.115082

Cited by 20 publications

(6 citation statements)

References 62 publications

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“…The advective heat flux has a larger effect in lakes with shorter residence times and can have a warming or cooling effect on lake water temperature, depending on the seasonal differences between the inflow and lake surface temperature. For example, Olsson et al (2022) found that advective heat flux can be a warming flux in winter and a cooling flux in summer, and that the magnitude of the advective heat flux is determined by the annual water retention time, with the lower the advective heat flux the longer the annual water retention time.…”

Section: Discussionmentioning

confidence: 99%

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Climate Change Impacts on Surface Heat Fluxes in a Deep Monomictic Lake

et al. 2023

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Anthropogenic greenhouse gas emissions have increased since the preindustrial period driven by economics and population growth. Associated impacts have been detected throughout the climate system, and in particular for lake systems, influences of the observed global warming have been detected since the mid-20th century (IPCC AR5, 2014). Lakes are considered as sentinels of climate change (Adrian et al., 2009) and the primary observed physical consequences of climate change on lakes are warming surface water temperature (

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Section: Discussionmentioning

confidence: 99%

“…For example, Olsson et al. (2022) found that advective heat flux can be a warming flux in winter and a cooling flux in summer, and that the magnitude of the advective heat flux is determined by the annual water retention time, with the lower the advective heat flux the longer the annual water retention time.…”

Section: Discussionmentioning

confidence: 99%

Climate Change Impacts on Surface Heat Fluxes in a Deep Monomictic Lake

et al. 2023

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“…1D lake models are also frequently used to evaluate the effect of meteorological extreme events on in‐lake mixing and heat transport (e.g., Bueche et al., 2017; Mesman et al., 2021; Perga et al., 2018; Shinohara et al., 2023). Further, 1D lake models are frequently used for quantifying heat and mass transport in water bodies and therefore to infer and adapt water management (e.g., Barbosa et al., 2021; Ladwig et al., 2018; Mi et al., 2018; Olsson, 2022; Soares et al., 2019; Weber et al., 2017). Also, important ecological information like the thermal habitat or the solubility of gases can be inferred from the vertical distribution of water temperature (e.g., Butcher et al., 2015; Magee et al., 2019).…”

Section: Classification Of Lake Temperature Modelsmentioning

confidence: 99%

Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects

Piccolroaz,

Zhu,

Ladwig

et al. 2024

Reviews of Geophysics

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Lake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the potential impacts of future climate change on lake thermal dynamics and related processes, the use of mathematical models is essential. In this study, we provide a comprehensive review of lake water temperature modeling. We begin by discussing the physical concepts that regulate thermal dynamics in lakes, which serve as a primer for the description of process‐based models. We then provide an overview of different sources of observational water temperature data, including in situ monitoring and satellite Earth observations, used in the field of lake water temperature modeling. We classify and review the various lake water temperature models available, and then discuss model performance, including commonly used performance metrics and optimization methods. Finally, we analyze emerging modeling approaches, including forecasting, digital twins, combining process‐based modeling with deep learning, evaluating structural model differences through ensemble modeling, adapted water management, and coupling of climate and lake models. This review is aimed at a diverse group of professionals working in the fields of limnology and hydrology, including ecologists, biologists, physicists, engineers, and remote sensing researchers from the private and public sectors who are interested in understanding lake water temperature modeling and its potential applications.

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“…These studies suggested that river intrusion and thermal stratification are key factors shaping the seasonal and interannual patterns of C fluxes during typhoon disturbances. River intrusion not only controlled the C fluxes, algal biomass, and nutrient loading, but also influenced the length of stratification and hydraulic retention times (Lin et al, 2021;Lin et al, 2022;Maranger et al, 2018;Nakayama et al, 2020;Olsson et al, 2022a;Olsson et al, 2022b;Zwart et al, 2017;Vachon and Del Giorgio, 2014). We hypothesized that allochthonous C loading and river inflow intrusion may affect the DIC and DOC distributions (Figure 1).…”

Section: Introductionmentioning

confidence: 95%

“…The responses of C fluxes in small lakes (lake area < 1 km 2 ) are sensitive to climate change due to the ease with which these C mix with water columns (Doubek et al, 2021;MacIntyre et al, 2021;Winslow et al, 2015). Moreover, storms induce dramatic changes in thermal stratification and water inflows (Lin et al, 2022;Olsson et al, 2022b;Vachon and Del Giorgio, 2014;Woolway et al, 2018). River inflows and wind turbulence mix the allochthonous C from sediments into the water column after storm events in small stratified lakes (Bartosiewicz et al, 2015;Czikowsky et al, 2018;Vachon and Del Giorgio, 2014).…”

Section: Introductionmentioning

confidence: 99%

Conceptual models of dissolved carbon fluxes considering interannual typhoon responses under extreme climates in a two-layer stratified lake

Lin

Nakayama²,

Tsai³

et al. 2022

Preprint

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Abstract. Extreme climates affect the seasonal and interannual patterns of carbon (C) distribution due to the regimes of river inflow and thermal stratification within lentic ecosystems. Typhoons rapidly load substantial amounts of terrestrial C into subtropical small lakes, renewing and mixing the water column. We developed conceptual dissolved C models and hypothesized that allochthonous C loading and river inflow intrusion may affect the dissolved inorganic C (DIC) and dissolved organic C (DOC) distributions in a small subtropical lake under these extreme climates. A two-layer conceptual C models was developed to explore how the DIC and DOC fluxes respond to typhoon disturbances on seasonal and interannual time scales in a small subtropical lake (i.e., Yuan‒Yang Lake) while simultaneously considering autochthonous processes such as algal photosynthesis, remineralization, and vertical transportation. Monthly field samplings were conducted to measure DIC, DOC, and chlorophyll a concentrations to compare the temporal patterns of fluxes between typhoon years (2015–2016) and non-typhoon years (2017–2018). The results demonstrated that net ecosystem production was 3.14 times higher in the typhoon years than in the non-typhoon years in Yuan‒Yang Lake. The results suggested that the load of allochthonous C was the most crucial factor affecting the temporal variation of C fluxes in the typhoon years; on the other hand, the transportation rate shaped the seasonal C in the non-typhoon years due to thermal stratification within this small subtropical lake.

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Annual water residence time effects on thermal structure: A potential lake restoration measure?

Cited by 20 publications

References 62 publications

Climate Change Impacts on Surface Heat Fluxes in a Deep Monomictic Lake

Climate Change Impacts on Surface Heat Fluxes in a Deep Monomictic Lake

Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects

Conceptual models of dissolved carbon fluxes considering interannual typhoon responses under extreme climates in a two-layer stratified lake

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