Influence of topography and land use on pollutants dispersion in the Atlantic coast of Iberian Peninsula

Carvalho, Anabela; Gelpi, I. R.; Barreiro, Marcos; Borrego, Carlos; Miranda, Ana Isabel; Pérez‐Muñuzuri, V.

doi:10.1016/j.atmosenv.2006.02.014

Cited by 67 publications

(34 citation statements)

References 17 publications

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“…MM5 has multiple nesting capabilities, four-dimensional data assimilation (FDDA) availability, and a large variety of physics options. The selected MM5 physical options were based on validation and sensitivity studies previously performed in Portugal (Aquilina et al, 2005;Carvalho et al, 2006) and the Iberian Peninsula (Ferná ndez et al, 2007). The MM5 model generates several meteorological fields required by the CHIMERE model, such as wind, temperature, water vapour mixing ratio, cloud liquid water content, 2 m temperature, surface heat, moisture fluxes and precipitation.…”

Section: Air Quality Modelling Systemmentioning

confidence: 99%

Climate-driven changes in air quality over Europe by the end of the 21st century, with special reference to Portugal

Carvalho

Monteiro

Solman³

et al. 2010

Environmental Science & Policy

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Section: Air Quality Modelling Systemmentioning

confidence: 99%

Climate-driven changes in air quality over Europe by the end of the 21st century, with special reference to Portugal

Carvalho

Monteiro

Solman³

et al. 2010

Environmental Science & Policy

Self Cite

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“…Uncertainties in the estimation of gases and primary aerosols in the emission inventories (De Meij et Published by Copernicus Publications on behalf of the European Geosciences Union. al., 2006), aerosol dynamics (physical transformations, dry and wet removal, transport), meteorological factors (temperature, humidity, wind speed and direction, precipitation, cloud chemistry, vertical mixing), the impact of orography on meteorological parameters (Carvalho et al, 2006), the impact of horizontal resolution of meteorology on model calculations (Baertsch-Ritter et al, 2004;Menut et al, 2005) and the fact that the formation of aerosols are known to be nonlinearly dependent on meteorological parameters such as temperature, humidity and vertical mixing (Haywood and Ramaswamy, 1998;Penner et al, 1998;Easter and Peters, 1994) and the concentrations of precursor gases (West et al, 1998), all contribute to uncertainties in the calculated gas and aerosol concentrations. A good estimate of meteorological variables in the meteorological datasets is therefore crucial for calculating gas and aerosol impacts on air quality and climate change, and evaluating coherent reduction strategies.…”

Section: Introductionmentioning

confidence: 99%

The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations

et al. 2009

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Abstract. The objective of this study is to evaluate the impact of meteorological input data on calculated gas and aerosol concentrations. We use two different meteorological models (MM5 and WRF) together with the chemistry transport model CHIMERE. We focus on the Po valley area (Italy) for January and June 2005.Firstly we evaluate the meteorological parameters with observations. The analysis shows that the performance of both models in calculating surface parameters is similar, however differences are still observed.Secondly, we analyze the impact of using MM5 and WRF on calculated PM 10 and O 3 concentrations. In general CHIMERE/MM5 and CHIMERE/WRF underestimate the PM 10 concentrations for January. The difference in PM 10 concentrations for January between CHIMERE/MM5 and CHIMERE/WRF is around a factor 1.6 (PM 10 higher for CHIMERE/MM5). This difference and the larger underestimation in PM 10 concentrations by CHIMERE/WRF are related to the differences in heat fluxes and the resulting PBL heights calculated by WRF. In general the PBL height by WRF meteorology is a factor 2.8 higher at noon in January than calculated by MM5. This study showed that the difference in microphysics scheme has an impact on the profile of cloud liquid water (CLW) calculated by the meteorological driver and therefore on the production of SO 4 aerosol.A sensitivity analysis shows that changing the Noah Land Surface Model (LSM) in our WRF pre-processing for the 5-layer soil temperature model, calculated monthly mean

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“…To meteorological prediction the WRF model has a large variety of physical parameterizations, which include microphysics, cumulus parameterization and radiation, land-surface and planetary boundary layer schemes. The parameterizations selection was based on recommendations included in Wang et al (2014), as well as on validation and sensitivity studies previously performed over Portugal (Aquilina et al, 2005;Carvalho et al, 2006) and over the Iberian Peninsula (Fernandez et al, 2007). Table 1 compiles the parameterizations used in this work.…”

Section: Air Quality Modeling Setup and Applicationmentioning

confidence: 99%

Air quality over Portugal in 2020

Monteiro

Ferreira

Ribeiro

et al. 2015

Atmospheric Pollution Research

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This works intends to evaluate the impacts of the national emission ceilings (NEC) reduction scenarios on the air quality in Portugal, verifying the fulfillment of the air quality thresholds for 2020. The air quality numerical modeling system WRF-EURAD was applied to this 2020 future scenario and results were compared to the present situationyear 2012. This modeling system was already evaluated for Portugal domain in previous studies, by comparison with measured air quality data, and showed reasonable skills for all the pollutants. This system was applied over the Continental domain of Portugal, using nesting approach, with a horizontal resolution of 5x5 km 2 , for both scenarios conditions (2012 and 2020) considering the respective emissions data and assuming the 2012 meteorological conditions. The results point towards an improvement of the air quality over Continental Portugal, in particular for particulate matter (in the urban areas of Lisbon and Porto) and SO2 (near specific industrial sources) but do not solve the non-compliance status regarding the O3 threshold value for protection of human health. These results strengthen the importance of including the NEC emission scenarios in the air quality national strategy, but additional mitigation actions need to be designed, with focus on ozone and its precursors, at local and regional scale.

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Influence of topography and land use on pollutants dispersion in the Atlantic coast of Iberian Peninsula

Cited by 67 publications

References 17 publications

Climate-driven changes in air quality over Europe by the end of the 21st century, with special reference to Portugal

Climate-driven changes in air quality over Europe by the end of the 21st century, with special reference to Portugal

The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations

Air quality over Portugal in 2020

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