Understanding the transport feature of bloom-forming Microcystis in a large shallow lake: A new combined hydrodynamic and spatially explicit agent-based modelling approach

Wang, Chao; Feng, Tao; Wang, Peifang; Hou, Jun; Qian, Jin

doi:10.1016/j.ecolmodel.2016.10.017

Cited by 35 publications

(16 citation statements)

References 46 publications

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“…Usually, surface scums of cyanobacteria are not distributed homogeneously, but are constantly transported by wind and occur at a spatially-variable severity (e.g., [8]). This can result in larger horizontal than vertical gradients in shallow lakes [9,10]. Pronounced spatial patterns also have been observed for the occurrence of hypoxic zones, which lead to the dissolution of reduced metals and, thus, water quality deterioration (e.g., [11,12]).…”

Section: Introductionmentioning

confidence: 95%

Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake

Frassl

Boehrer

Holtermann

et al. 2018

Water

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In lakes and reservoirs, physical processes control temperature dynamics and stratification, which are important determinants of water quality. In large lakes, even extensive monitoring programs leave some of the patterns undiscovered and unresolved. Lake models can complement measurements in higher spatial and temporal resolution. These models require a set of driving data, particularly meteorological input data, which are compulsory to the models but at many locations not available at the desired scale or quality. It remains an open question whether these meteorological input data can be acquired in a sufficient quality by employing atmospheric models. In this study, we used the European Centre for Medium-Range Weather Forecasts' (ECMWF) ERA-Interim atmospheric reanalysis data as meteorological forcing for the three-dimensional hydrodynamic General Estuarine Transport Model (GETM). With this combination, we modelled the spatio-temporal variation in water temperature in the large, shallow Lake Chaohu, China. The model succeeded in reproducing the seasonal patterns of cooling and warming. While the model did predict diurnal patterns, these patterns were not precise enough to correctly estimate the extent of short stratification events. Nevertheless, applying reanalysis data proved useful for simulating general patterns of stratification dynamics and seasonal thermodynamics in a large shallow lake over the year. Utilising reanalysis data together with hydrodynamic models can, therefore, inform about water temperature dynamics in the respective water bodies and, by that, complement local measurements.

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Section: Introductionmentioning

confidence: 95%

Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake

Frassl

Boehrer

Holtermann

et al. 2018

Water

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“…Many influencing factors can affect this distribution, including macrophytes (D. Zhao et al, ), inflow‐outflow (Figure ), and the water diversion project (L. Hu et al, ; Qin et al, ). As simulated by numerical models (J. Huang et al, ; Qin et al, ; C. Wang et al, ), the bilayer current mode (Figure ) could provide an explanation for the observed phenomenon. Influenced by the prevailing ESE winds related to the East Asian monsoon, surface wind‐driven currents with primary direction of WNW could transport the surface cyanobacterial cells or colonies that can float at the lake surface (Brookes et al, ; Qin et al, ; Rowe et al, ) to northwestern regions of the lake.…”

Section: Discussionmentioning

confidence: 85%

“…However, under the influenced of high WSs during the field observations in Lake Taihu, the water depth is shallower than the Ekman depth (Figure ); thus, the intersection angle between the surface and bottom currents is small and bottom friction plays a greater role (Figure ). This is the first time such a hydrodynamic process has been documented in a large polymictic lake, even though the current structure of Lake Taihu has been investigated using various numerical models, for example, the EcoTaihu Model (W. Hu et al, ), Environmental Fluid Dynamics Code (Li et al, ), Finite Volume Coastal Ocean Circulation Model (Q. Zhao et al, ), and others (Qin et al, ; H. Wang et al, ; C. Wang et al, ). The influence of wind will propagate downward to the lakebed and further influence the thermal and nutrient exchange across this interface, making this forcing important in large polymictic lakes.…”

Section: Discussionmentioning

confidence: 99%

Field Observation of Different Wind‐Induced Basin‐Scale Current Field Dynamics in a Large, Polymictic, Eutrophic Lake

Qin

Ding

et al. 2018

JGR Oceans

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Basin-scale current fields are fundamental to determining the environmental characteristics and ecological attributes of large polymictic lakes. However, little is known concerning the effects of different winds on the currents and further on ecological systems of these lakes. Therefore, synchronous meteorological and hydrological data were collected from Lake Taihu (China) during summer 2015. Time series analysis and stress calculations conducted to elucidate the basin-scale current field revealed frequent occurrence of a bilayer current mode, comprising a wind-driven surface current and bottom compensation current, under low or medium wind conditions. The main forcings of the lake currents are seasonal winds related to the East Asian monsoon, and the lake-land thermal contrast wind with 24-hr periodicity causes marked diurnal fluctuation. Inflows, outflows, the Coriolis force, and bottom frictional stress also make important contributions to the bilayer current mode, and weak temperature stratification can stabilize this mode. However, as wind speed increases, wind-driven surface currents can develop downward to form uniform currents throughout the water depth, and water temperature stratification is destroyed during typhoon-affected periods. During such short-term strong wind events, the current structure mainly adopts a monolayer current mode and the incidence of the bilayer current mode decreases substantially. The monolayer current mode causes a clockwise circulation and a basin-scale temporary oscillation with~80-hr periodicity. The influences of the monsoon and lake-land thermal contrast wind on lake currents were masked by the pulse-like strong winds. Both modes can contribute to persistent cyanobacterial blooms in the northwest of Lake Taihu.Plain Language Summary Large lake currents profoundly influence the lake environmental characteristics and ecological attributes. However, little is known concerning about the current distribution in response to the different wind fields. Therefore, synchronous meteorological and hydrological data were observed in Lake Taihu during the summer of 2015. It was found that a bilayer current mode was frequently observed under condition of low wind speed. This current mode comprised a wind-driven surface current and bottom opposite compensation current. The main driving forces were the seasonal winds related to the East Asian monsoon and land-lake thermal contrast wind, inflow-outflow, the Coriolis force, and bottom frictional stress. A weak temperature stratification can stabilize this mode. However, wind-driven surface currents could develop downward trends with greater wind speeds to form uniform currents throughout the entire water column and the water temperature stratification was destroyed during typhoon-affected periods. During the monolayer current period, a clockwise circulation and a basin-scale temporary oscillation with a periodicity of~80 hr were observed. Both modes can contribute the persistent cyanobacterial blooms in the northwest region of Lake Taihu.

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“…According to the parameters calibration results reported by (Huang et al, 2012), the phytoplankton grow rate was set as 1.145 d -1 . In the modelling study conducted by (Wang et al, 2017), it was assigned as 1.15 d -1 . However, based on the parameters sensitivity study of numerical model in Taihu Lake conducted by (Jiang et al, 2018), the algal growth rate was set as 2 d -1 .…”

Section: Model Performancementioning

confidence: 99%

“…So our calibration results of the phytoplankton death rate were relatively higher than other studies. For example, the death rate of phytoplankton was set as 0.10 d -1 by (Wang et al, 2017). The calculated results of chl-a were shown in Fig.…”

Section: Model Performancementioning

confidence: 99%

Quantifying physical transport and local proliferation of phytoplankton downstream of an eutrophicated lake

Wang

Fan

et al. 2020

Journal of Hydrology

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Understanding the transport feature of bloom-forming Microcystis in a large shallow lake: A new combined hydrodynamic and spatially explicit agent-based modelling approach

Cited by 35 publications

References 46 publications

Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake

Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake

Field Observation of Different Wind‐Induced Basin‐Scale Current Field Dynamics in a Large, Polymictic, Eutrophic Lake

Quantifying physical transport and local proliferation of phytoplankton downstream of an eutrophicated lake

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