Mathematical Model Investigation of Far-Field Transport of Ocean-Dumped Sewage Sludge Related to Remote Sensing

1982 ◽  
Vol 14 (3) ◽  
pp. 33-39
Author(s):  
C Y Kuo

An existing, three-dimensional, Eulerian-Lagrangian finite-difference model was modified and used to examine the far-field transport processes of dumped sewage sludge in the New York Bight. Both in situ and laboratory data were utilized in an attempt to approximate model inputs such as mean current speed, vertical and horizontal diffusion coefficients, particle size distributions, and specific gravities. Concentrations of the sludge near the sea surface predicted from the computer model were compared qualitatively with those remotely sensed.

2007 ◽  
Vol 342 ◽  
pp. 27-40 ◽  
Author(s):  
JJ Vitaliano ◽  
SA Fromm ◽  
DB Packer ◽  
RN Reid ◽  
RA Pikanowski

1975 ◽  
Vol 3 (4) ◽  
pp. 457-463 ◽  
Author(s):  
Iver W. Duedall ◽  
Malcolm J. Bowman ◽  
Harold B. O'connors

2018 ◽  
Vol 11 (7) ◽  
pp. 4261-4272 ◽  
Author(s):  
Michael L. Larsen ◽  
Raymond A. Shaw

Abstract. Reliable measurements of the three-dimensional radial distribution function for cloud droplets are desired to help characterize microphysical processes that depend on local drop environment. Existing numerical techniques to estimate this three-dimensional radial distribution function are not well suited to in situ or laboratory data gathered from a finite experimental domain. This paper introduces and tests a new method designed to reliably estimate the three-dimensional radial distribution function in contexts in which (i) physical considerations prohibit the use of periodic boundary conditions and (ii) particle positions are measured inside a convex volume that may have a large aspect ratio. The method is then utilized to measure the three-dimensional radial distribution function from laboratory data taken in a cloud chamber from the Holographic Detector for Clouds (HOLODEC).


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