Calculating flow into coastal lakes from water level measurements

Sanderson, Brian G.; Baginska, Barbara

doi:10.1016/j.envsoft.2006.02.005

Cited by 9 publications

(7 citation statements)

References 22 publications

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“…The top row shows runoff concentrations required for the model to replicate observed TP (bold) in the different lakes. The most probable runoff concentrations (bold) are given in the bottom row catchment, as previously suggested by Sanderson & Baginska (2007). The strongest winds blow towards the negative y direction and occur mostly in late winter or early spring.…”

Section: Discussionmentioning

confidence: 98%

“…Water level has been measured at Bombah Point for the period that is presently of interest. Sanderson & Baginska (2007) demonstrated an inverse modelling approach to calculate freshwater inflow to a coastal lake from measurements of water levels within the lake and at the mouth of a narrow channel connecting the lake to the ocean. This methodology works best when the connection to the ocean is strongly choked and when the ratio of catchment area to waterway area is high.…”

Section: Methodsmentioning

confidence: 99%

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Circulation and the nutrient budget in Myall Lakes

Sanderson

2008

Hydrobiologia

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A two-dimensional model is used to study transport of material within Myall Lakes and is coupled to the ocean using a one-dimensional model of Lower Myall River. Runoff from the catchment is calculated from water levels and compares favourably with rainfall assuming an average runoff yield of 28% and a runoff coefficient of 47% for events above the 90th percentile. Most of the runoff enters Bombah Broadwater which is also the only basin connected to the ocean. Intermittent runoff events rapidly displace water from Bombah Broadwater into Boolambayte Lake and from Boolambayte Lake into Myall Lake. Displaced water is mixed within basins by winddriven circulation within the time scale that levels fall as water drains from the lakes to the ocean. Only 7% of the nutrient load entering Bombah Broadwater becomes resident Myall Lake. About 40% of the nutrient load entering Boolambayte Lake becomes resident in Myall Lake. Median time scales for loss of conservative material entering each basin with the runoff are: 140 days for Bombah Broadwater, 118 days for Boolambayte Lake, and 535 days for Myall Lake. Salinity fluctuates greatly in Bombah Broadwater but is stable in Myall Lake. Material loss from Bombah Broadwater is characterized by many time scales associated with runoff from the catchment and low-frequency changes in ocean water level. Comparison of observed distributions of total nitrogen with simulations indicates that there are sources of total nitrogen in Boolambayte Lake and Myall Lake and sinks of total nitrogen in Bombah Broadwater. There appear to be sinks of total phosphorus throughout the Myall Lakes.

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Section: Discussionmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

Circulation and the nutrient budget in Myall Lakes

Sanderson

2008

Hydrobiologia

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“…Some recent studies have examined the feasibility of water‐balance models in estimation of daily inflows into lakes. Sanderson and Baginska () used a water‐balance method to calculate freshwater inflow to Cudgen Lake in New South Wales, Australia, using water‐level measurements. Wiebe et al () developed a water‐balance‐based hydrograph separation method to estimate total direct inflow to Lake Pyhäjärvi in Finland; they suggested that this method provided superior results and had lower uncertainty than the common approach of using a runoff‐coefficient‐based method.…”

Section: Introductionmentioning

confidence: 99%

Estimating daily inflows of large lakes using a water‐balance‐based runoff coefficient scaling approach

Peng

Liu³

et al. 2019

Hydrological Processes

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Daily river inflow time series are highly valuable for water resources and water environment management of large lakes. However, the availability of continuous inflow data for large lakes is still relatively limited, especially for large lakes situated within humid plain regions with tens or even hundreds of tributaries. In this study, we choose the fifth largest freshwater Lake Chaohu in China as our study area to introduce a new approach to reconstruct historical daily inflows at ungauged subcatchments of large lakes. This approach makes use of water level, lake surface rainfall, evaporation from the lake, and catchment rainfall observations. Rainfall–runoff relationship at a reference catchment was analysed to select rainfall input and estimate run‐off coefficient firstly, and the run‐off coefficient was then transferred to ungauged subcatchments to initially estimate daily inflows. Run‐off coefficient was scaled to adjust daily inflows at ungauged subcatchments according to water balance of the lake. This approach was evaluated using sparsely measured inflows at eight subcatchments of Lake Chaohu and compared with the commonly used drainage area ratio method. Results suggest that the inflow time series reconstructed from this approach consistent well to corresponding observations, with mean R2 and Nash–Sutcliffe efficiency values of 0.69 and 0.6, respectively. This approach outperforms drainage area ratio method in terms of mean R2 and Nash–Sutcliffe efficiency values. Accuracy of this approach holds well when the number of water‐level station being used decreased from four to one.

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“…Commonly, lakes receive inflows from multiple sources that include both surface and subsurface pathways, some of which are often difficult to measure directly (Sanderson and Baginska 2007). Mathematical catchment hydrology models are commonly developed to afford water resource managers the capability to evaluate the likely response of the catchment, in terms of discharge fluxes and contaminant loads, to various land and water management controls.…”

Section: Introductionmentioning

confidence: 99%

Integrated Surface–Subsurface Modeling of Fuxianhu Lake Catchment, Southwest China

Zhang

Werner

2008

Water Resour Manage

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This paper describes an integrated surface-subsurface modeling study of the Fuxianhu Lake catchment (southwest China). Pollution threats to this important water resource have led to the need to evaluate transport pathways and the overall water balance of the catchment. Catchment inputs to the lake include river inflows, direct overland flow and groundwater discharge, which are incorporated into a mathematical model of the system. Surface runoff and groundwater recharge are estimated using a parsimonious soil-vegetation modeling approach, while groundwater flow is based on the MODFLOW-2005 code. Overland flow and stream discharge are coupled to the groundwater regime through the soil layer and are routed through the catchment to account for surface water flow pathways. The model is tested using the V-catchment benchmark problem and is compared to existing models to demonstrate accuracy and capability. Application of the model to the Fuxianhu catchment provides for the first-order approximation of the average catchment water balance, which comprises such components as evapotranspiration losses (37% of rainfall), surface runoff to the lake (37% of rainfall), and groundwater discharge to the lake (8% of rainfall), amongst others. The computationally efficient approach to surface-subsurface modeling adopted in this investigation presents as an alternative to more complex methods, and allows for the rapid assessment of flow pathways at the catchment scale.

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Calculating flow into coastal lakes from water level measurements

Cited by 9 publications

References 22 publications

Circulation and the nutrient budget in Myall Lakes

Circulation and the nutrient budget in Myall Lakes

Estimating daily inflows of large lakes using a water‐balance‐based runoff coefficient scaling approach

Integrated Surface–Subsurface Modeling of Fuxianhu Lake Catchment, Southwest China

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