Complex interactions among nutrients, chlorophyll-a, and microcystins in three stormwater wet detention basins with floating treatment wetlands

Hartshorn, Nicholas; Marimon, Zachary; Xuan, Zhemin; Cormier, Jessica A.; Chang, Ni‐Bin; Wanielista, Martin P.

doi:10.1016/j.chemosphere.2015.08.023

Cited by 40 publications

(18 citation statements)

References 12 publications

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“…Assessment was done for nutrient, microcystin, and chlorophyll-a interactions in three stormwater wet detention ponds with recently implemented floating treatment wetlands (FTWs) in Florida by Hartshorn et al, (2016).…”

Section: Stormwater and Non-point Source Pollutionmentioning

confidence: 99%

Effects of Pollution on Freshwater Organisms

Choudri

Baawain²

2017

Water Environment Research

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This review covers research papers and scientific literature published in the year 2016 on the effects of anthropogenic pollutants on freshwater organisms. In the first, the review begins with two broad sections thate are mainly focused on research reviews and broad field studies and surveys. This is followed by reviews of research categorized in sections to reflect the pollutant class. These sections include wastewater, stormwater and non-point source pollution, nutrients, sediment cap materials and suspended clays, botanical extracts, surfactants, metals, persistent organic pollutants, pharmaceuticals, endocrine disruptors, pesticides, petroleum hydrocarbons and polycyclic aromatic hydrocarbons (PAHs), ionic liquids, and nanomaterials. The final section of the review highlights the research published on describing innovations in the field of freshwater pollution research.

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Section: Stormwater and Non-point Source Pollutionmentioning

confidence: 99%

Effects of Pollution on Freshwater Organisms

Choudri

Baawain²

2017

Water Environment Research

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“…Chla, as a photosynthetic pigment, is widely used to assess the phytoplankton biomass in water bodies due to its extensive presence in various phytoplankton, including algae and cyanobacteria [50]. Excessive phytoplankton, especially cyanobacteria, can cause poor water quality and have negative effects on fish and shrimps in ponds [51]. It has been confirmed that aquatic macrophytes can inhibit the growth of algae and control algal bloom [52].…”

Section: Discussionmentioning

confidence: 99%

The Sustainable Treatment Effect of Constructed Wetland for the Aquaculture Effluents from Blunt Snout Bream (Megalobrama amblycephala) Farm

Jia

Hou

et al. 2021

Water

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In aquaculture, constructed wetland (CW) has recently attracted attention for use in effluent purification due to its low running costs, high efficiency and convenient operation,. However, less data are available regarding the long-term efficiency of farm-scale CW for cleaning effluents from inland freshwater fish farms. This study investigated the effectiveness of CW for the removal of nutrients, organic matter, phytoplankton, heavy metals and microbial contaminants in effluents from a blunt snout bream (Megalobrama amblycephala) farm during 2013–2018. In the study, we built a farm-scale vertical subsurface flow CW which connected with a fish pond, and its performance was evaluated during the later stage of fish farming. The results show that CW improved the water quality of the fish culture substantially. This system was effective in the removal of nutrients, with a removal rate of 21.43–47.19% for total phosphorus (TP), 17.66–53.54% for total nitrogen (TN), 32.85–53.36% for NH4+-N, 33.01–53.28% NH3-N, 30.32–56.01% for NO3−-N and 42.75–63.85% for NO2−-N. Meanwhile, the chlorophyll a (Chla) concentration was significantly reduced when the farming water flowed through the CW, with a 49.69–62.01% reduction during 2013–2018. However, the CW system only had a modest effect on the chemical oxygen demand (COD) in the aquaculture effluents. Furthermore, concentrations of copper (Cu) and lead (Pb) were reduced by 39.85% and 55.91%, respectively. A microbial contaminants test showed that the counts of total coliform (TC) and fecal coliform (FC) were reduced by 55.93% and 48.35%, respectively. In addition, the fish in the CW-connected pond showed better growth performance than those in the control pond. These results indicate that CW can effectively reduce the loads of nutrients, phytoplankton, metals, and microbial contaminants in effluents, and improve the water quality of fish ponds. Therefore, the application of CW in intensive fish culture systems may provide an advantageous alternative for achieving environmental sustainability.

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“…Validation of the ordered probit regression analysis for MTSI assessment Further assessment of this ordered probit regression model may be carried out by choosing the floating treatment wetland (FTW) as the BMPs to control nutrient concentration at the Gainsville and Rustkin (Hartshorn et al 2016). The sampling results after the removal of this BMP at both ponds can be used for model validation.…”

Section: Mtsi Eutrophicationmentioning

confidence: 99%

Fast eutrophication assessment for stormwater wet detention ponds via fuzzy probit regression analysis under uncertainty

Tahsin

Chang

2016

Environ Monit Assess

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Stormwater wet detention ponds have been a commonly employed best management practice for stormwater management throughout the world for many years. In the past, the trophic state index values have been used to evaluate seasonal changes in water quality and rank lakes within a region or between several regions; yet, to date, there is no similar index for stormwater wet detention ponds. This study aimed to develop a new multivariate trophic state index (MTSI) suitable for conducting a rapid eutrophication assessment of stormwater wet detention ponds under uncertainty with respect to three typical physical and chemical properties. Six stormwater wet detention ponds in Florida were selected for demonstration of the new MTSI with respect to total phosphorus (TP), total nitrogen (TN), and Secchi disk depth (SDD) as cognitive assessment metrics to sense eutrophication potential collectively and inform the environmental impact holistically. Due to the involvement of multiple endogenous variables (i.e., TN, TP, and SDD) for the eutrophication assessment simultaneously under uncertainty, fuzzy synthetic evaluation was applied to first standardize and synchronize the sources of uncertainty in the decision analysis. The ordered probit regression model was then formulated for assessment based on the concept of MTSI with the inputs from the fuzzy synthetic evaluation. It is indicative that the severe eutrophication condition is present during fall, which might be due to frequent heavy summer storm events contributing to high-nutrient inputs in these six ponds.

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Complex interactions among nutrients, chlorophyll-a, and microcystins in three stormwater wet detention basins with floating treatment wetlands

Cited by 40 publications

References 12 publications

Effects of Pollution on Freshwater Organisms

Effects of Pollution on Freshwater Organisms

The Sustainable Treatment Effect of Constructed Wetland for the Aquaculture Effluents from Blunt Snout Bream (Megalobrama amblycephala) Farm

Fast eutrophication assessment for stormwater wet detention ponds via fuzzy probit regression analysis under uncertainty

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