Interannual variability of estimated monthly nitrogen deposition to coastal waters due to variations of atmospheric variables model input

In this work, the influence of the interannual variation of meteorological input data on the nitrogen (N) deposition estimated applying atmospheric dispersion models is discussed. As a case study, the deposition of atmospheric oxidized N coming from the NOx generated in the Metropolitan Area of Buen...

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Publicado: 2010
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01698095_v96_n1_p88_PinedaRojas
http://hdl.handle.net/20.500.12110/paper_01698095_v96_n1_p88_PinedaRojas
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spelling paper:paper_01698095_v96_n1_p88_PinedaRojas2023-06-08T15:18:35Z Interannual variability of estimated monthly nitrogen deposition to coastal waters due to variations of atmospheric variables model input Atmospheric deposition Buenos Aires de la Plata River Interannual variability Oxidized nitrogen compounds Atmospheric depositions Atmospheric dispersion models Atmospheric inputs Atmospheric variables Buenos Aires Coastal waters Dry deposition Interannual variability Interannual variation Meteorological input Metropolitan area Model inputs N deposition Nitrogen deposition Offshore winds Oxidized nitrogen Photochemical activity Precipitation rates Wet deposition Atmospheric chemistry Deposition Input output programs Meteorological problems Nitrogen Nitrogen compounds Rivers Atmospheric movements annual variation atmospheric chemistry coastal water dry deposition nitrogen numerical model oxidation photochemistry wet deposition Argentina Buenos Aires [Argentina] Rio de la Plata In this work, the influence of the interannual variation of meteorological input data on the nitrogen (N) deposition estimated applying atmospheric dispersion models is discussed. As a case study, the deposition of atmospheric oxidized N coming from the NOx generated in the Metropolitan Area of Buenos Aires to waters of de la Plata River is evaluated for three years, considering high spatial (1 km2) and temporal (1 h) resolutions. The interannual variation of monthly N dry deposition is in the range 10-160%, being mostly controlled by the photochemical activity of the atmosphere and the frequency of winds towards the river. The variation of monthly wet deposition values between years is in general greater than a factor of 2. It is mainly affected by the frequency of rainy hours and the precipitation rate during offshore wind conditions, and reaches a factor of 124 as a result of the variation of these variables in a factor of 4 and 3, respectively. These results show that estimated monthly N deposition to coastal waters may vary significantly between years. The evaluation of the atmospheric N that can be transferred to coastal waters can therefore be improved considering several years of atmospheric input data. © 2009 Elsevier B.V. All rights reserved. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01698095_v96_n1_p88_PinedaRojas http://hdl.handle.net/20.500.12110/paper_01698095_v96_n1_p88_PinedaRojas
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Atmospheric deposition
Buenos Aires
de la Plata River
Interannual variability
Oxidized nitrogen compounds
Atmospheric depositions
Atmospheric dispersion models
Atmospheric inputs
Atmospheric variables
Buenos Aires
Coastal waters
Dry deposition
Interannual variability
Interannual variation
Meteorological input
Metropolitan area
Model inputs
N deposition
Nitrogen deposition
Offshore winds
Oxidized nitrogen
Photochemical activity
Precipitation rates
Wet deposition
Atmospheric chemistry
Deposition
Input output programs
Meteorological problems
Nitrogen
Nitrogen compounds
Rivers
Atmospheric movements
annual variation
atmospheric chemistry
coastal water
dry deposition
nitrogen
numerical model
oxidation
photochemistry
wet deposition
Argentina
Buenos Aires [Argentina]
Rio de la Plata
spellingShingle Atmospheric deposition
Buenos Aires
de la Plata River
Interannual variability
Oxidized nitrogen compounds
Atmospheric depositions
Atmospheric dispersion models
Atmospheric inputs
Atmospheric variables
Buenos Aires
Coastal waters
Dry deposition
Interannual variability
Interannual variation
Meteorological input
Metropolitan area
Model inputs
N deposition
Nitrogen deposition
Offshore winds
Oxidized nitrogen
Photochemical activity
Precipitation rates
Wet deposition
Atmospheric chemistry
Deposition
Input output programs
Meteorological problems
Nitrogen
Nitrogen compounds
Rivers
Atmospheric movements
annual variation
atmospheric chemistry
coastal water
dry deposition
nitrogen
numerical model
oxidation
photochemistry
wet deposition
Argentina
Buenos Aires [Argentina]
Rio de la Plata
Interannual variability of estimated monthly nitrogen deposition to coastal waters due to variations of atmospheric variables model input
topic_facet Atmospheric deposition
Buenos Aires
de la Plata River
Interannual variability
Oxidized nitrogen compounds
Atmospheric depositions
Atmospheric dispersion models
Atmospheric inputs
Atmospheric variables
Buenos Aires
Coastal waters
Dry deposition
Interannual variability
Interannual variation
Meteorological input
Metropolitan area
Model inputs
N deposition
Nitrogen deposition
Offshore winds
Oxidized nitrogen
Photochemical activity
Precipitation rates
Wet deposition
Atmospheric chemistry
Deposition
Input output programs
Meteorological problems
Nitrogen
Nitrogen compounds
Rivers
Atmospheric movements
annual variation
atmospheric chemistry
coastal water
dry deposition
nitrogen
numerical model
oxidation
photochemistry
wet deposition
Argentina
Buenos Aires [Argentina]
Rio de la Plata
description In this work, the influence of the interannual variation of meteorological input data on the nitrogen (N) deposition estimated applying atmospheric dispersion models is discussed. As a case study, the deposition of atmospheric oxidized N coming from the NOx generated in the Metropolitan Area of Buenos Aires to waters of de la Plata River is evaluated for three years, considering high spatial (1 km2) and temporal (1 h) resolutions. The interannual variation of monthly N dry deposition is in the range 10-160%, being mostly controlled by the photochemical activity of the atmosphere and the frequency of winds towards the river. The variation of monthly wet deposition values between years is in general greater than a factor of 2. It is mainly affected by the frequency of rainy hours and the precipitation rate during offshore wind conditions, and reaches a factor of 124 as a result of the variation of these variables in a factor of 4 and 3, respectively. These results show that estimated monthly N deposition to coastal waters may vary significantly between years. The evaluation of the atmospheric N that can be transferred to coastal waters can therefore be improved considering several years of atmospheric input data. © 2009 Elsevier B.V. All rights reserved.
title Interannual variability of estimated monthly nitrogen deposition to coastal waters due to variations of atmospheric variables model input
title_short Interannual variability of estimated monthly nitrogen deposition to coastal waters due to variations of atmospheric variables model input
title_full Interannual variability of estimated monthly nitrogen deposition to coastal waters due to variations of atmospheric variables model input
title_fullStr Interannual variability of estimated monthly nitrogen deposition to coastal waters due to variations of atmospheric variables model input
title_full_unstemmed Interannual variability of estimated monthly nitrogen deposition to coastal waters due to variations of atmospheric variables model input
title_sort interannual variability of estimated monthly nitrogen deposition to coastal waters due to variations of atmospheric variables model input
publishDate 2010
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01698095_v96_n1_p88_PinedaRojas
http://hdl.handle.net/20.500.12110/paper_01698095_v96_n1_p88_PinedaRojas
_version_ 1768545828053450752