Implications of redox processes for the rehabilitation of an urban lake, Onondaga Lake, New York

Effler, Steven W.; Matthews, David A.

doi:10.1080/07438140809354056

Cited by 21 publications

(7 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While nitrate treatment has not been widely or recently used in the US (the method has been used more recently in Scandinavia; see Søndergaard et al (2000)), there is growing interest in the strategy by lake managers, particularly from the standpoint of mercury control. Some argue that nitrate addition may be more effective and ecologically benign than aeration or oxygenation in inhibiting methylmercury production in the profundal zone (Effler & Matthews, 2008). In contrast to oxygen, nitrate is not consumed by abiotic oxidation-reduction reactions, so it could penetrate deeper, pushing the zone of mercury methylation further down into the sediments.…”

Section: Introductionmentioning

confidence: 99%

Nitrate uptake rate in anoxic profundal sediments from a eutrophic reservoir

2008

View full text Add to dashboard Cite

There is renewed interest in the use of nitrate to treat the profundal zone of lakes to inhibit anaerobic biogeochemical processes that result in the degradation of bottom water quality (e.g., sediment phosphorus release, mercury methylation). In this study we used experimental sediment-water interface chambers to quantify the rate of sediment nitrate uptake (SNU) in profundal sediments from Lake Perris, a eutrophic raw water reservoir in Southern California. Deoxygenated chamber water was spiked with nitrate, and nitrate concentration was monitored over time under quiescent conditions, followed by mixed conditions with average water velocities of 1 cm/s. Key findings included: (1) SNU decreased with decreasing nitrate concentration, (2) SNU was higher under mixed versus quiescent conditions by nearly 50%, and (3) nitrate uptake as a function of nitrate concentration followed a conventional sediment oxygen demand model in which nitrate uptake was proportional to the square root of nitrate concentration. The probable mechanism for elevated SNU under mixed conditions was an increased diffusional concentration gradient combined with a decrease in the diffusional boundary layer at the sediment-water interface, both of which enhanced the flux of nitrate from overlaying water into sediment. Managers planning to implement lake nitrate addition should account for induced nitrate demand when determining dosing rates. For example, based on our modeling efforts from this data set, SNU in Lake Perris could range by an order of magnitude, from around 12 mg N/m 2 /d under quiescent, low nitrate conditions (0.1 mg N/l) to around 120 mg N/m 2 /d under mixed, high nitrate conditions (5 mg N/l).

show abstract

Section: Introductionmentioning

confidence: 99%

Nitrate uptake rate in anoxic profundal sediments from a eutrophic reservoir

2008

View full text Add to dashboard Cite

show abstract

“…Water temperature depth profiles also determine the strength of thermal stratification, i.e., if there are discrete epilimnetic (surface) and hypolimnetic (bottom) layers or isothermal (fully-mixed) conditions [ Read et al 2011 ]. When waterbodies transition from stratified to mixed conditions during the onset of fall turnover, reduced nutrients and metals that accumulated in the hypolimnion during the summer are mixed throughout the water column, decreasing water quality [ Cooke et al 2005, Effler and Matthews 2008 ]. Consequently, near-term iterative forecasts of water temperature profiles would allow managers to preemptively respond to impending poor water quality during fall turnover and other episodic events (e.g., storms) that alter water temperature and thermal stratification.…”

Section: Introductionmentioning

confidence: 99%

A near-term iterative forecasting system successfully predicts reservoir hydrodynamics and partitions uncertainty in real time

Thomas¹,

Figueiredo

Daneshmand

et al. 2020

Preprint

View full text Add to dashboard Cite

We created a near-term iterative lake water temperature forecasting system that uses 13 sensors, data assimilation, and hydrodynamic modeling 14 15 • FLARE quantifies the uncertainty in each daily forecast and provides an open-source, 16 generalizable system for water quality forecasting 17 18• 16-day forecasted temperatures were within 0.91℃ over 100 days in a reservoir case Abstract 22 Freshwater ecosystems are experiencing greater variability due to human activities, necessitating 23 new tools to anticipate future water quality. In response, we developed and operationalized a 24 near-term iterative water temperature forecasting system (FLARE -Forecasting Lake And 25 Reservoir Ecosystems) that is generalizable for lakes and reservoirs. FLARE is composed of: 26 water quality and meteorology sensors that wirelessly stream data, a data assimilation algorithm 27 that uses sensor observations to update predictions from a hydrodynamic model and calibrate 28 model parameters, and an ensemble-based forecasting algorithm to generate forecasts that 29 include uncertainty. Importantly, FLARE quantifies the contribution of different sources of 30 uncertainty (parameters, driver data, initial conditions, and process) to each daily forecast of 31 water temperature at multiple depths. We applied FLARE to a temperate reservoir during a 100-32 day period that encompassed stratified and mixed thermal conditions and found that daily 33 forecasted water temperatures were on average within 0.91℃ at all depths of the reservoir over a 34 16-day forecast horizon. FLARE successfully predicted the onset of fall turnover eight days in 35 advance, and identified meteorology driver data and downscaling as the dominant sources of 36 forecast uncertainty. Overall, FLARE provides an open-source and easily-generalizable system 37 for water quality forecasting for lakes and reservoirs to improve management. 39Lake Model, Water temperature 41 45 freshwater ecosystems, which have been more degraded than any other ecosystem on the planet 46 [Millennium Ecosystem Assessment 2005], are seeking new tools to anticipate future change and 47 ensure clean water for drinking, fisheries, irrigation, industry, and recreation [Brookes et al. 48 2014]. 49 In response to this need, near-term iterative ecological forecasting has emerged as a 50 solution to provide stakeholders, managers, and policy-makers crucial information about future 51 ecosystem conditions [Clark et al. 2001, Dietze et al. 2018, Luo et al. 2011. Here, we define a 52 near-term iterative forecast as a projection of future ecosystem states with fully-specified 53 uncertainties, generated from predictive models that can be constantly updated with new data as 54 they become available [Clark et al. 2001]. Importantly, a near-term iterative forecast is not 55 created from merely one ecosystem simulation, but an ensemble of simulations that enable 56 quantification of the uncertainty in the forecast contributed by different sources [i.e., parameters, 57 driver data, initi...

show abstract

“…Effler and Matthews (2008) suggested that macroinvertebrates could enhance MeHg efflux from Hg-contaminated sediments as a result of bioirrigation or could act as a vector for Hg uptake into the aquatic food web. This potential benefit is likely less of an issue in non-Hg-polluted lakes and reservoirs like Twin Lakes.…”

Section: Methylmercury In the Water Columnmentioning

confidence: 98%