Methodology for Identifying and Quantifying Metal Pollutant Sources in Storm Water Runoff

Abstract

NAVFAC EXWC has developed a GIS-based methodology to identify and quantify non-point sources of metal pollutants in storm water runoff. This project was in response to a NESDI need submitted by Naval Base San Diego. The methodology involves conducting a site characterization using a generic questionnaire and importing the data into the Non-point Source Storm water Management tool. The tool operates within ArcGIS, and it can organize storm water data (e.g. water quality data, SWPPP, BMPs) as well as predict the significant non-point sources of pollutants on the base. While the tool was used to find non-point sources of copper and zinc, it was designed so that it could be applied to any metal pollutant. The predictive function involves conducting statistical analysis on the site characterization data to determine the statistically relevant sources of the pollutants. A multi-linear regression equation is then created that models pollutant loading of the outfalls and drainage areas. This methodology was demonstrated at Naval Base San Diego, Naval Base Ventura County Port Hueneme, Joint Expeditionary Base Little Creek, and Naval Station Pearl Harbor.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2015
Accession Number
ADA614503

Entities

People

  • Edwin Chiang

Organizations

  • Naval Facilities Engineering Systems Command

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Contracts
  • Cost Analysis
  • Data Analysis
  • Data Science
  • Department Of Defense
  • Drainage Basins
  • Engineering
  • Geographic Information Systems
  • Information Science
  • Information Systems
  • Naval Shore Facilities
  • Personal Digital Assistants
  • Statistical Analysis
  • Stormwater Management
  • Surveys
  • Toxicity
  • Water Quality

Fields of Study

  • Environmental science

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computational Modeling and Simulation
  • Environmental Engineering.