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Titolo:
DEVELOPMENT AND TESTING OF METEOROLOGY AND AIR DISPERSION MODELS FOR MEXICO-CITY
Autore:
WILLIAMS MD; BROWN MJ; CRUZ X; SOSA G; STREIT G;
Indirizzi:
LOS ALAMOS NATL LAB,MAIL STOP B299 LOS ALAMOS NM 87545 INST MEXICANO PETR MEXICO CITY 07730 DF MEXICO
Titolo Testata:
Atmospheric environment
fascicolo: 21, volume: 29, anno: 1995,
pagine: 2929 - 2960
SICI:
1352-2310(1995)29:21<2929:DATOMA>2.0.ZU;2-S
Fonte:
ISI
Lingua:
ENG
Keywords:
PROGNOSTIC MODELS; COMPLEX TERRAIN; URBAN AIR QUALITY; MEASUREMENT-MODEL COMPARISON; MEXICO CITY;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
13
Recensione:
Indirizzi per estratti:
Citazione:
M.D. Williams et al., "DEVELOPMENT AND TESTING OF METEOROLOGY AND AIR DISPERSION MODELS FOR MEXICO-CITY", Atmospheric environment, 29(21), 1995, pp. 2929-2960

Abstract

Los Alamos National Laboratory and Institute Mexicano del Petroleo are completing a joint study of options for improving air quality in Mexico City. We have modified a three-dimensional, prognostic: higher-order turbulence model for atmospheric circulation (HOTMAC) and a Monte Carlo dispersion and transport model (RAPTAD) to treat domains that include an urbanized area. We used the meteorological model to drive models which describe the photochemistry and air transport and dispersion. The photochemistry modeling is described in a separate paper. We tested the model against routine measurements and those of a major field program. During the field program, measurements included: (1) lidar measurements of aerosol transport and dispersion, (2) aircraft measurements of winds, turbulence, and chemical species aloft, (3) aircraft measurements of skin temperatures, and (4) Tethersonde measurements of winds and ozone. We modified the meteorological model to include provisions for time-varying synoptic-scale winds, adjustments for local wind effects, and detailed surface-coverage descriptions. We developed a newmethod to define mixing-layer heights based on model outputs. The meteorology and dispersion models were able to provide reasonable representations of the measurements and to define the sources of some of the major uncertainties in the model-measurement comparisons.

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Documento generato il 27/11/20 alle ore 22:26:32