Development of a Regionalized Mathematical Model for Predicting Changes in Streamflow Quantity and Quality as a Function of Land Use, Soil Type and Rainfall Characteristics

Abstract

This study was designed to regionalize a mathematical model stormwater runoff which can be used for predicting changes in streamflow quantity and quality as a function of land use, soil type, and rainfall characteristics. A water quality index was developed which responds as a function of land use and hydrologic characteristics. The index includes physical, chemical, and biological parameters. The model was regionalized for immediate use in the Tennessee Valley on some watersheds up to approximately 10 square miles using hydrologic data from urban, agricultural, forested, and strip mined watersheds. However, in future studies the model can be regionalized to other parts of the United States by analysis of hydrologic air and water quality data in those regions utilizing the same scientific approach in this study in the Tennessee Valley. Results achieved from other regions can then be pooled with results achieved from the Tennessee Valley which would provide a more widely applicable model.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1978
Accession Number
ADA053070

Entities

People

  • Donald E. Overton
  • Roger A. Minear
  • Stephen P. Shelton

Organizations

  • University of Tennessee

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force Facilities
  • Computational Science
  • Computer Programs
  • Computers
  • Databases
  • Differential Equations
  • Drainage Basins
  • Environmental Protection
  • Geographic Regions
  • Geography
  • Mathematical Models
  • Measurement
  • Nonlinear Systems
  • Plastic Explosives
  • Reliability
  • Ridges
  • Urban Areas

Fields of Study

  • Agricultural and Food sciences

Readers

  • Atmospheric Science/Meteorology
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computational Modeling and Simulation