Editorial Type:
Article
Article Type:
Research Article

Forecasting and Diagnostic Analysis of Plume Transport around a Power Plant

J. A. Souto Centro de Supercomputación de Galicia, Santiago de Compostela, Spain

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V. Pérez-Muñuzuri Faculty of Physics, University of Santiago de Compostela, Santiago de Compostela, Spain

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M. deCastro Centro de Supercomputación de Galicia, Santiago de Compostela, Spain

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M. J. Souto Faculty of Physics, University of Santiago de Compostela, Santiago de Compostela, Spain

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J. J. Casares Centro de Supercomputación de Galicia, Santiago de Compostela, Spain

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T. Lucas Environmental Section, As Pontes Power Plant, As Pontes, Spain

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Print Publication:
01 Oct 1998
DOI:
https://doi.org/10.1175/1520-0450(1998)037<1068:FADAOP>2.0.CO;2
Page(s):
1068–1083
Restricted access

Abstract

A nonreactive Lagrangian atmospheric diffusion model is used for the simulation of SO2 concentration around the As Pontes 1400-MW power plant located in northwestern Spain. This diffusion model has two kinds of input: 1) diagnostic wind fields from real measurements and 2) forecast wind fields from a 24-h mesoscale prediction.

This model-based system is applied for a particular day around the As Pontes 1400-MW power plant, which is a coal-fired power plant. The shape of estimated and forecast plumes are compared, and the meteorological prediction results are analyzed.

Corresponding author address: Dr. J. A. Souto, Centro de Supercomputacion de Galicia, Av. Vigo, s/n, 15706 Santiago de Compostela, Spain.

Abstract

A nonreactive Lagrangian atmospheric diffusion model is used for the simulation of SO2 concentration around the As Pontes 1400-MW power plant located in northwestern Spain. This diffusion model has two kinds of input: 1) diagnostic wind fields from real measurements and 2) forecast wind fields from a 24-h mesoscale prediction.

This model-based system is applied for a particular day around the As Pontes 1400-MW power plant, which is a coal-fired power plant. The shape of estimated and forecast plumes are compared, and the meteorological prediction results are analyzed.

Corresponding author address: Dr. J. A. Souto, Centro de Supercomputacion de Galicia, Av. Vigo, s/n, 15706 Santiago de Compostela, Spain.

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Journal of Applied Meteorology and Climatology

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