研究目的
To determine the efficacy of a high temporal resolution OPTically‐based In situ Characterization System (OPTICS) to understand sources of particle‐bound mercury and methylmercury contamination and to quantify mass fluxes of mercury contaminants in the South River, specifically in the area of Crimora, Virginia.
研究成果
The OPTICS system effectively quantified mercury and methylmercury concentrations and mass fluxes, identifying storm flow and diel cycling as key mechanisms for contaminant redistribution. This provides valuable data for remediation efforts in the South River.
研究不足
The study relies on correlations between optical parameters and contaminant concentrations, which may not capture all variability. Discrete samples were not collected during night-time, limiting validation of diel cycles. Assumptions were made about representativeness of point measurements for the entire water column.
1：Experimental Design and Method Selection:
The study used an OPTICS approach involving partial least squares (PLS) regression analysis of in situ optical and water quality data to derive chemical contaminant concentrations. This method leverages the correlation between optical parameters and contaminant levels.
2：Sample Selection and Data Sources:
The study was conducted in the South River near Crimora, Virginia, from March 31 to May 17, 2016. Discrete water samples were collected periodically for laboratory analysis of mercury and methylmercury concentrations.
3：Discrete water samples were collected periodically for laboratory analysis of mercury and methylmercury concentrations.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Optical and water quality sensors including WET Labs ECOBB backscattering sensor, ac-s absorption and attenuation meter, YSI EXO2 multiparameter water quality sonde, peristaltic pump, and sterile silicon tubing for sample collection.
4：Experimental Procedures and Operational Workflow:
Sensors were deployed in the river thalweg, programmed for hourly measurements. Discrete samples were collected weekly during baseflow and storm conditions, analyzed using EPA methods. Data were processed and corrected for temperature, salinity, and scattering effects.
5：Data Analysis Methods:
PLS regression was used to model contaminant concentrations from optical data. Wavelet analysis examined temporal relationships. Mass fluxes were calculated as the product of concentration and flow rate, with integration over time periods.
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