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Water 2017, 9(2), 131;

Modelling Dissolved Oxygen/Sediment Oxygen Demand under Ice in a Shallow Eutrophic Prairie Reservoir

Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK S7N 3H5, Canada
Author to whom correspondence should be addressed.
Academic Editor: Jiangyong Hu
Received: 17 December 2016 / Revised: 9 February 2017 / Accepted: 10 February 2017 / Published: 17 February 2017
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Dissolved oxygen is an influential factor of aquatic ecosystem health. Future predictions of oxygen deficits are paramount for maintaining water quality. Oxygen demands depend greatly on a waterbody’s attributes. A large sediment–water interface relative to volume means sediment oxygen demand has greater influence in shallow systems. In shallow, ice-covered waterbodies the potential for winter anoxia is high. Water quality models offer two options for modelling sediment oxygen demand: a zero-order constant rate, or a sediment diagenesis model. The constant rate is unrepresentative of a real system, yet a diagenesis model is difficult to parameterise and calibrate without data. We use the water quality model CE-QUAL-W2 to increase the complexity of a zero-order sediment compartment with limited data. We model summer and winter conditions individually to capture decay rates under-ice. Using a semi-automated calibration method, we find an annual pattern in sediment oxygen demand that follows the trend of chlorophyll-a concentrations in a shallow, eutrophic Prairie reservoir. We use chlorophyll-a as a proxy for estimation of summer oxygen demand and winter decay. We show that winter sediment oxygen demand is dependent on the previous summer’s maximum chlorophyll-a concentrations. View Full-Text
Keywords: ice-cover; chlorophyll-a; shallow lakes; modelling; dissolved oxygen; sediments ice-cover; chlorophyll-a; shallow lakes; modelling; dissolved oxygen; sediments

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Terry, J.A.; Sadeghian, A.; Lindenschmidt, K.-E. Modelling Dissolved Oxygen/Sediment Oxygen Demand under Ice in a Shallow Eutrophic Prairie Reservoir. Water 2017, 9, 131.

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