title: Risk-based analysis of environmental monitoring data: application to heavy metals in North Carolina surface waters.
abstract: The state of North Carolina's Department of Environment and Natural Resources (NCDENR) conducts routine water quality monitoring throughout the state to assess the health of aquatic systems. The current study reports the results of a retrospective (1990-2000) ecological risk assessment of six heavy metals (arsenic, cadmium, copper, lead, mercury, and zinc) in 17 North Carolina basins that was conducted to estimate the risk of heavy metal toxicity to freshwater organisms and assess the sufficiency of NCDENR's monitoring data to identify water-quality-related ecological threats. Acute and chronic ecotoxicological thresholds (ETs) were calculated for each metal based upon the 10th percentile of species sensitivity distributions and were normalized for water hardness. Statewide probabilities (expressed as percentages) of a random sample exceeding acute or chronic ETs among the six metals ranged from 0.01% to 12.19% and 0.76% to 21.21%, respectively, with copper having the highest and arsenic and mercury the lowest risk. Basin-specific probabilities varied significantly depending upon water hardness and presumably watershed development. Although the majority of specific sites where data were collected were at low risk for metal toxicity, some specific sites had a high probability of toxic events associated with one or more metals. Analytical detection limits for metals were frequently higher than estimated chronic ET, limiting the ability to assess the risk of chronic toxicity in soft-water basins. Results suggest risk-based criteria may be useful for assessing and validating the sufficiency of monitoring programs and prioritizing management goals.
authors.affiliation: Pew Center on Global Climate Change, 2101 Wilson Boulevard, Suite 550, Arlington, Virginia 22201, USA. prestonb@pewclimate.org
authors.forename: Benjamin L
authors.initials: BL
authors.lastname: Preston
authors.forename: Jeremiah
authors.initials: J
authors.lastname: Shackelford
mesh_terms: D000818:Animals; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods / Q000706:statistics & numerical data*; D019216:Metals, Heavy / Q000009:adverse effects*; D009657:North Carolina; D012189:Retrospective Studies; D018570:Risk Assessment; D014873:Water Pollutants / Q000009:adverse effects*
chemical_list: D019216:Metals, Heavy; D014873:Water Pollutants