Calculations and the underlying data used to characterize and describe the calcium-lead phosphate minerals identified in lead service line pipe scales. This dataset is associated with the following publication: DeSantis, M., M. Schock, J. Tully, and C. Bennett-Stamper. Orthophosphate Interactions with Destabilized PbO2 Scales. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(22): 14302–14311, (2020).

Calculations and the underlying data used to characterize and describe the calcium-lead phosphate minerals identified in lead service line pipe scales. This dataset is associated with the following publication: DeSantis, M., M. Schock, J. Tully, and C. Bennett-Stamper. Orthophosphate Interactions with Destabilized PbO2 Scales. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(22): 14302–14311, (2020).

The dataset contains reviewed and collected data for: lead profile sampling at different sites and systems; figures classifying observed scale mineralogy; comparisons of adjusted first-draw concentrations compared to LSL sample concentrations, and some maps of interior plumbing to accompany the lead profile sampling. This dataset is associated with the following publication: Tully, J., M. DeSantis, and M. Schock. Water quality-pipe deposit relationships in Midwestern lead pipes. JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 1(2): 1-18, (2019).

Tap water lead profiles from the Del Toral et al (2013) study, grouped in disturbed and undisturbed Pb service line sites. This dataset is associated with the following publication: Wasserstrom, L., S. Miller , S. Triantafyllidou, M. DeSantis, and M. Schock. Scale Formation under Blended Phosphate Treatment for a Utility with Lead Pipes. Journal AWWA. American Water Works Association, Denver, CO, USA, 109(11): E464-E478, (2017).

The data resulted from bench and other studies, and were used to produce manuscript plots. This dataset is associated with the following publication: Lytle, D., M. Schock, J. Leo, and B. Barnes. A Model for Estimating the Impact of Orthophosphate on Copper in Water. JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 110(10): E1-E15, (2018).

Streamflow and phosphorus concentrations were monitored in the Assabet River in central Massachusetts in order to evaluate concentrations and loads in the river before, during, and after changes in the amount of total phosphorus that was discharged to the river from three wastewater-treatment plants. At four locations the U.S. Geological Survey collected weekly flow-proportional, composite samples of water from the Assabet River for analysis of concentrations of total phosphorus and orthophosphate. Streamflow and concentration data were used to estimate total phosphorus and orthophosphate loads in the river and compare them with total phosphorus load outputs from three wastewater-treatment plants. Data were collected from October 2008 through April 2014. The data are analyzed in a report that describes changes in phosphorus concentrations and loads during the study period. This data release consists of tables of (1) instream daily streamflow, concentrations of total phosphorus and orthophosphate from weekly composite samples, and daily load estimates for the four monitoring stations on the Assabet River; (2) daily outflow, daily measured and estimated total phosphorus and concentrations, and daily total phosphorus load estimates from the three wastewater-treatment plants; and (3) concentrations of total phosphorus and orthophosphate, and associated daily mean streamflows, for quality-control samples collected for the project.

This data release contains simulated orthophosphate concentrations (milligrams per liter) as a function of year, season, and flow for 53 monitoring stations in the Chesapeake Bay watershed. These data were generated for a study published in Science of the Total Environment (https://doi.org/10.1016/j.scitotenv.2018.10.062). They were extracted from the Weighted Regressions in Time, Discharge and Season (WRTDS; Hirsch et al. 2010) models developed for each monitoring station using two functions in the EGRET R package: the flowDuration function and the plotConcTimeSmooth function. The flowDuration function in the EGRET package (Hirsch and DeCicco, 2015) was used to quantify the 5th and 95th percentile flows to represent low and high flows, respectively, for each season at each watershed. These discharge values are then used as input for the plotConcTimeSmooth function, along with a date to represent the midpoint of each calendar year season (January-March = winter, etc.). The midpoints for the seasons were 15-February, 15-May, 15-August, and 15-November for the winter, spring, summer, and fall seasons, respectively. The plotConcTimeSmooth function provides estimates of concentration for those dates at those flows for all years included in the analysis. Simulated concentrations for the years 2006 and 2014 were extracted from this output, and are the only years included in this data release. Sources: Hirsch, R.M., Moyer, D.L., and Archfield, S.A., 2010, Weighted regressions on time, discharge, and season (WRTDS), with an application to Chesapeake Bay river inputs: Journal of the American Water Resources Resources Association, v. 46, no. 5, p. 857-880 Hirsch, R.M. and De Cicco, Laura, 2015, User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data (version 2.0, February 2015): U.S. Geological Survey Techniques and Methods book 4, chap. A10, 93 p., http://dx.doi.org/10.3133/tm4A10.(accessed May 24, 2018)