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Maynard E. Smith

Researcher at Brookhaven National Laboratory

Publications -  25
Citations -  580

Maynard E. Smith is an academic researcher from Brookhaven National Laboratory. The author has contributed to research in topics: Plume & Wind direction. The author has an hindex of 9, co-authored 25 publications receiving 558 citations.

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Journal ArticleDOI

Mapping human brain monoamine oxidase A and B with 11C-labeled suicide inactivators and PET.

TL;DR: Suicide enzyme inactivators labeled with positron emitters can be used to quantitate the distribution and kinetic characteristics of MAO in human brain structures and show rapid clearance of the inactive enantiomer and retention of the active enantiomers within MAO B-rich brain structures.
Journal ArticleDOI

Relation of gustiness to other meteorological parameters

TL;DR: In this paper, two years of data have been processed to show relationships between wind gustiness and other meteorological parameters, such as lapse rate and solar radiation, while its association with wind speed and Sutton's index of turbulence is not as distinct.
Journal ArticleDOI

An Improved Method of Estimating Concentrations and Related Phenomena from a Point Source Emission

TL;DR: The meteorological features of a refined air pollution evaluation technique are described in this paper, where time and space variations of wind speed, dispersion parameters and capping inversions are permitted, and the estimates of dispersion at large distances from the source are more realistic than those obtained with simple models.
Journal ArticleDOI

Snowfall observations from natural-draft cooling tower plumes.

TL;DR: During the winter of 1975-1976, snowfall from the plumes of large natural-draft cooling towers of power plants has been observed, and visibility has been restricted to less than 1600 meters in the tower plume near ground level.
Book ChapterDOI

The Forecasting of Micrometeorological Variables

TL;DR: The current status of the forecasting program developed for nuclear reactor operations at Brookhaven National Laboratory is discussed in some detail in this paper, where the forecasting technique is based primarily on the empirical relationships between synoptic and micrometric variables as they have been determined by observation and climatological studies.