A Methodology for the Characterization and Management of Nonpoint Source Water Pollution

Abstract

The purpose of this research was development of a methodology for characterization and management of Nonpoint Source (NPS) water pollution. Section 319 of the 1987 Water Quality Act requires states to develop management programs for reduction of NPS pollution via Best Management Practices (BMPs). Air Force installations are expected to abide by federal, state, and local environmental regulations. Currently, the Air Force does not have a methodology to identify and quantify NPS pollution, or a succinct catalog of BMPs. Air Force installation managers need a package to assist them in meeting legislative and regulatory requirements associated with NPS pollution. Ten constituents characteristic of urban runoff were identified in the Nationwide Urban Runoff Program (NURP) and selected as those constituents of concern for modeling and sampling. Two models were used and compared with the results of a sampling and analysis program. Additionally, a compendium of BMPs was developed.... Nonpoint Source Pollution (NPS), Best Management Practices (BMPs), Water pollution, Water sampling and analysis, Stormwater runoff modeling, NPDES.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1992
Accession Number
ADA261091

Entities

People

  • David M. Praner
  • Gordon M. Sprewell

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Chemical Synthesis
  • Chemistry
  • Civil Engineering
  • Engineers
  • Environmental Protection
  • Forests
  • Geography
  • Groundwater
  • Health Services
  • Law
  • Medical Personnel
  • Pest Control
  • Waste Management
  • Water Pollution
  • Water Quality
  • Water Resources

Fields of Study

  • Environmental science

Readers

  • Environmental Engineering.
  • Government and Public Administration Law.
  • Naval Personnel Management