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To address the data and information gap for characterizing coastal drought, a coastal salinity index (CSI) was developed using salinity data (Conrads 2016; Conrads and Darby, 2017). The CSI uses an approach similar to the Standardized Precipitation Index (SPI), a readily available drought index that is widely used for monitoring meteorological droughts (McKee and others, 1993). The CSI substitutes total monthly precipitation with monthly mean salinity data to determine the probability of recording a given salinity value in a particular month. The initial investigation demonstrated that the index could be used to delineate short- and long-term drought (saline) and wet (high freshwater inflow) conditions; however,...
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This dataset contains water-, sediment-, and biological-quality data collected immediately upstream and downstream from 5 bridges in 3 physiographic provinces (Piedmont, Upper Coastal Plain, and Lower Coast Plain) in South Carolina during periods of observable bridge-deck runoff during 2013 to 2018. The associated report (Journey and others, 2020, "Effects of Stormwater Runoff from Selected Bridge Decks on Water-, Sediment-, and Biological-Quality Conditions in Receiving Waters in South Carolina, 2013 to 2018") is available at https://doi.org/10.3133/sir20205046.


    map background search result map search result map Coastal Salinity Index for Monitoring Drought Water-, Sediment-, and Biological-Quality Data for Waters Receiving Runoff from Five Bridges in South Carolina, 2013 to 2018 Water-, Sediment-, and Biological-Quality Data for Waters Receiving Runoff from Five Bridges in South Carolina, 2013 to 2018 Coastal Salinity Index for Monitoring Drought