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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/1443

Title: Data management in support of TMDL efforts
Authors: Cavallo, Gregory J.
Sankarmanchi, N. Rao
Kaczorowski, Dawn M.
Sandeen, Lawrence R.
Keywords: Water chemistry;Water quality
Issue Date: 13-Sep-2006
Publisher: Michael Piasecki and College of Engineering, Drexel University
Citation: Proceedings of the Seventh International Conference on Hydroscience and Engineering, Philadelphia, PA, September 2006. http://hdl.handle.net/1860/732
Abstract: Data management is the foundation for water resource assessment. The ability to successfully manage large amounts of data (>100MB to 1 GB) collected and submitted during an extended period is essential to evaluate long-term trends, conduct modeling and determine the effectiveness of remedial efforts. The Delaware River Basin Commission, on behalf of the U.S. Environmental Protection Agency, has concluded the Stage 1 Total Maximum Daily Loads (TMDLs) for polychlorinated biphenyls (PCBs) for the Delaware Estuary in December 2003, DRBC (2003). Monitoring efforts in support of the Stage 1 TMDLs and subsequent data submission posed significant difficulties in assimilating the analytical results into a comprehensive database. The use of different analytical methodologies, and reporting conventions by the various laboratories involved in this effort required extensive data manipulation and limited the usefulness of the reported results. The Delaware River Basin Commission is currently developing the Stage 2 Total Maximum Daily Loads (TMDLs) for PCBs for the Delaware Estuary. The objective of the Stage 2 TMDL is to develop more accurate TMDLs, which require a more precise quantification of the concentrations and/or loads from the various PCB source categories. This task is made more complex by the requirements to evaluate different source categories i.e. point source discharges, ambient river water, sediment, tributary and contaminated site runoff, analysis of 209 compounds, and the collection of multiple samples. To streamline the Stage 2 process, data quality objectives (DQOs) were specified to provide a consistent approach to sample collection, analysis and data reporting.
Description: Paper presented at The Seventh International Conference on HydroScience and Engineering (ICHE) hosted by the College of Engineering at Drexel Univeristy on September 10-13, 2006 in Philadelphia, Pennsylvania. The conference theme was IT in the Field of HydroSciences. It included several mini-symposia that emphasized IT topics in HydroSciences and the yearly meeting of the metadata group of the International Oceanographic Data and Information Exchange organization.
URI: http://hdl.handle.net/1860/1443
ISBN: 0977447405
Appears in Collections:Proceedings of the 7th International Conference on HydroScience and Engineering (ICHE 2006) [ISBN: 0977447405]

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