An Experimental Study of Stack Plume Rise and Dispersion at the Power Station.

Abstract

This paper describes the primary results of stack plume rise and dispersion experiment at Xu Zhou power station during Nov.-Dec., 1978. Include: (1) Under neutral and near-neutral stratification conditions, the 2/3 power law is the optimizing formula up to date, because of its calculated values in coincidence with observed. (2) Vertical of the buoyant plume from the tall stack is obviously stronger than that of non buoyant plume from the low stack. It is shown that the concept sof Pasquill(1976) model are acceptable, but formula should be modified. (3) From reliable monitoring data of SO2 ground concentration, it is found that the effects of topography and stack height should be comprehensively taken into account in estimating dispersion by gaussian model. (4) It is suggested that in analyzing the stereophoto grammetric data of fluctuating plume, the square deviation of plume distribution should be considered as the sum of two parts--the distribution square deviation of the plume particulates relative to the instantaneous center line of the plume, and the distriubtion square deviaton of the instantaneous center line relative to the average center line of the plume. (5) Lidar is shown to be as effective as steroegraphic method in studying behavior of chimney plumes.

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Document Details

Document Type
Technical Report
Publication Date
Oct 10, 1986
Accession Number
ADA173563

Entities

Organizations

  • National Air and Space Intelligence Center

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Pollution
  • Boundary Layer
  • Coefficients
  • Data Analysis
  • Dispersions
  • Flow
  • Flow Fields
  • Foreign Technology
  • Generators
  • Measurement
  • Meteorology
  • Public Health
  • Standards
  • Temperature Gradients
  • Wind
  • Wind Direction
  • Wind Velocity

Readers

  • Aerospace Propulsion Engineering.
  • Approximation Theory.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.