20210616 15594000 1.0 TRUE Flow accumulation is a hydrologic function which uses flow direction calculated on a raster surface to sum all cells flowing into a given cell. Higher flow accumulation values indicate greater flow over or into that cell. The flow accumulation in this layer has been clipped to a 5 meter buffer around road centerlines. This should be a good indicator of where flooding on roads might occur. Flow Flow accumulation is a hydrologic function which uses flow direction calculated on a raster surface to sum all cells flowing into a given cell. Higher flow accumulation values indicate greater flow over or into that cell. VDOT_PDC8_FlowAcc 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