First report of the successful operation of a side stream supersaturation hypolimnetic oxygenation system in a eutrophic, shallow reservoir

Gerling, Alexandra B.; Browne, Richard G.; Gantzer, Paul A.; Mobley, Mark H.; Little, John C.; Carey, Cayelan C.

doi:10.1016/j.watres.2014.09.002

Cited by 103 publications

(64 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The lake exhibits summer thermal stratification from May to October and is ice-covered from January to February or March [ Carey et al 2019c ]. FCR is primarily fed by one upstream tributary and was maintained at full pond throughout this study by the Western Virginia Water Authority (WVWA), who own and manage the reservoir as a drinking water supply [ Gerling et al 2014, Gerling et al 2016 ].…”

Section: Methodsmentioning

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

Self Cite

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

Section: Methodsmentioning

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

Self Cite

View full text Add to dashboard Cite

show abstract

“…Compared with the small service area (usually less than 0.05 ha) of fixed aerators [13], SEMWA can cruise constantly with the help of time-switch or horizontal location-switch electronic program, and reaches every corner of the water. Hypoxic/anoxic water can be air-lift from the bottom to the surface for oxygenation and photochemical treatment, which can control taste and odor problems as well as nuisance algal blooms [14], together its running characteristic water can be maintained fresh as "running water is never stale". Hence, we only need to spend little cost input than the fixed aerator for the less devices to use.…”

Section: Water Exchange and Hydrodynamic Forcementioning

confidence: 99%

Solar-energy mobile water aerators are efficient for restoring eutrophic water

Wang

2017

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

“…In deep lakes, iron is less favorable due to release mechanisms at low oxygen concentrations (see ''Quantification of P loading'' section). If ample iron is already available, artificial oxygenation can be a way to increase the redox potential and thus the binding capacity of iron (Conley 2012;Stigebrandt and Kalén 2013;Stigebrandt et al 2014;Gerling et al 2014). Bormans et al (2015) reviewed the applicability of hypolimnetic oxygenation.…”

Section: Nutrientsmentioning

confidence: 99%

How to combat cyanobacterial blooms: strategy toward preventive lake restoration and reactive control measures

Stroom

Kardinaal

2016

Aquat Ecol

View full text Add to dashboard Cite

Water managers worldwide are facing the serious problem of dense blooms of cyanobacteria in surface waters. In the quest for the optimal method to combat cyanobacterial dominance, many questions and many possible solutions arise. This paper presents a three-phase strategy to fight harmful cyanobacterial proliferation. Water managers who apply this strategy can generate a tailor-made set of measures. The three phases consist of (1) defining the ecological water quality targets of the waterbody in question, (2) assessing its current ecological state, and (3) selecting which measures will yield optimal results. The paper provides assistance in the quantitative diagnosis of the state of both shallow and deep temperate freshwater lakes by means of a lake system analysis, and presents a survey of measures. Measures are divided into two sets. Preventive measures are based on switching to a clear state (shallow lake) or reducing the overall cyanobacterial biomass (deep lake). They are subdivided into nutrient reduction, hydromorphological adjustments, and food web management. Concerning nutrient reduction, in many situations phosphorus management alone should suffice. Nitrogen management can be important to increase the species diversity of macrophytes, or to relieve downstream (marine) consequences. Control measures (including mitigation) have a direct impact on cyanobacterial blooms by biomass removal, flushing, or mixing; however, the number of proven technologies is limited.

show abstract

First report of the successful operation of a side stream supersaturation hypolimnetic oxygenation system in a eutrophic, shallow reservoir

Cited by 103 publications

References 37 publications

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

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

Solar-energy mobile water aerators are efficient for restoring eutrophic water

How to combat cyanobacterial blooms: strategy toward preventive lake restoration and reactive control measures

Contact Info

Product

Resources

About