Abstract

We characterized copper (Cu) concentrations in the water, sediments, and shoreline plants of stormwater ponds in the urban Tampa, Florida area. We selected 6 urban residential stormwater ponds that receive summer wet season (May to September) Cu sulfate applications at least twice a month. We collected triplicate water and sediment samples from each pond and analyzed for Cu, as well as nutrient pools (inorganic N and P) and a suite of other physicochemical properties (e.g., water temperature, pH, conductivity, alkalinity, etc.). We analyzed shoreline plant tissue samples for Cu. The raw dataset provides values for Cu concentrations in water, sediments and plant tissue, and other measured parameters in water and sediments.This dataset is important for characterizing the fate and potential mobility of Cu in freshwater ponds treated with Cu sulfate algaecides. This applied research data will provide baseline understanding of Cu concentrations in water, sediments, and select plant tissue samples, providing insights on potential toxicity of Cu and any threats that Cu sulfate algaecides may pose to aquatic organisms and downstream waters. This dataset can also inform future research designs aimed at elucidating the effects of Cu on denitrifying bacteria and N removal in stormwater pond ecosystems. Finally, the plant tissue data shows variable Cu concentrations among plant species, and this data can inform future phytoremediation experiments.

Highlights

  • Copper concentration data for water, sediments, and vegetation of urban stormwater ponds treated with copper sulfate algaecide

  • The raw dataset provides values for Cu concentrations in water, sediments and plant tissue, and other measured parameters in water and sediments. This dataset is important for characterizing the fate and potential mobility of Cu in freshwater ponds treated with Cu sulfate algaecides

  • This applied research data will provide baseline understanding of Cu concentrations in water, sediments, and select plant tissue samples, providing insights on potential toxicity of Cu and any threats that Cu sulfate algaecides may pose to aquatic organisms and downstream waters

Read more

Summary

Data accessibility

Environmental Science (General) Copper accumulation in urban stormwater ponds Tables. Graphs A water quality multiparameter sonde (YSI, Inc.) was used to measure in situ temperature, surface dissolved oxygen, conductivity, and pH of water samples. We used an inductively coupled plasma (ICP) spectrophotometer to measure Cu concentrations in water, sediment extracts, and plant tissues. We used a continuous flow analyzer to measure inorganic N and P pools in water and sediment extracts. Raw Filtered Analyzed The following parameters were measured: Water—alkalinity, temperature, surface dissolved oxygen, pH, conductivity, Cu, NH4–N, NO3–N, Orthophosphate-P Sediments—exchangeable Cu, NH4–N, NO3–N, total N Plant tissues—Cu Triplicate water and sediment samples and plant tissue samples were collected from 6 urban stormwater ponds in August 2019. Water samples were collected at random points approximately 1 m from the pond shorelines. Sediment samples were collected from random locations within the ponds and at a depth of 15 cm. The data can be used by those interested in heavy metal (Cu) contamination in freshwater bodies, in phytoremediation of Cu contamination, and in how we can manage copper sulfate algaecide applications in urban waters. These data may be used to inform future experiments related to phytoremediation of Cu in soils and sediments. These data may be used to inform future experimental designs aimed at learning the effects of Cu on aquatic organisms, including the microbial community responsible for N transformations and removal, providing insights on the connections between algal management strategies and nutrient cycling in the ponds

Data description
Site description
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call