An incinerator air quality impact assessment for metals, PAH, dioxins and furans by using the MM5-CMAQ-EMIMO atmospheric modelling system: Spain case study

2008 ◽  
Vol 32 (2) ◽  
pp. 250 ◽  
Author(s):  
R. San Jose ◽  
Juan L. Perez ◽  
Rosa M. Gonzalez
Keyword(s):  
Air Quality ◽  
Impact Assessment ◽  
Atmospheric Modelling ◽  
Dioxins And Furans ◽  
Modelling System

Air quality and health impact assessment of a truckers' strike in Sao Paulo state, Brazil: A case study

Urban Climate ◽  
2020 ◽  
Vol 34 ◽  
pp. 100687 ◽  
Author(s):  
Daniela Debone ◽  
Luciana Ferreira Leite Leirião ◽  
Simone Georges El Khouri Miraglia
Keyword(s):  
Air Quality ◽  
Impact Assessment ◽  
Health Impact Assessment ◽  
Health Impact ◽  
Sao Paulo ◽  
São Paulo ◽  
Paulo State ◽  
São Paulo State

scholarly journals Collaborative Health Impact Assessment and Policy Development to Improve Air Quality in West Yorkshire—A Case Study and Critical Reflection

Climate ◽  
2017 ◽  
Vol 5 (3) ◽  
pp. 62 ◽  
Author(s):  
Yannish Naik ◽  
Sally Jones ◽  
Helen Christmas ◽  
Peter Roderick ◽  
Duncan Cooper ◽  
...  
Keyword(s):  
Air Quality ◽  
Impact Assessment ◽  
Policy Development ◽  
Critical Reflection ◽  
Health Impact Assessment ◽  
Health Impact

scholarly journals Assessment of the Odour Quality of the Air Surrounding a Landfill Site: A Case Study

2021 ◽  
Vol 13 (4) ◽  
pp. 1713
Author(s):  
Łukasz Szałata ◽  
Jerzy Zwoździak ◽  
Milan Majerník ◽  
Anna Cierniak-Emerych ◽  
Malgorzata A. Jarossová ◽  
...  
Keyword(s):  
Air Quality ◽  
Dispersion Model ◽  
Landfill Site ◽  
Municipal Sewage ◽  
The Hours ◽  
The Impact ◽  
Modelling System ◽  
Roadside Ditch

In the present study, the authors assessed the odour quality of the air in the vicinity of a landfill site using a case study of a waste management plant that processes non-hazardous and inert waste as an example. An analysis of the impact of the facility under study on the odour quality of the air was performed based on a mathematical modelling system used to, among other things, assess the impact of investments in air quality both in Poland and worldwide. The most important element of the system is the puff dispersion model CALPUFF. In conclusion, the analysis of the plant’s odour impact clearly indicates a significant impact on the air quality in the studied area. The range of the impact may even reach up to 1.5 km; in the nearest locality, the odour perceptibility threshold may be exceeded for more than 3% of the hours in a year. However, taking into account the fact that the landfill is located within an agricultural area, the incidental odour impact in this area may also be associated with periods of intensive fertilization and a roadside ditch collecting municipal sewage from roadside households.

scholarly journals Preliminary Tests on the Sensitivity of the FORAIR_IT Air Quality Forecasting System to Different Meteorological Drivers

Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 574 ◽  
Author(s):  
Mario Adani ◽  
Antonio Piersanti ◽  
Luisella Ciancarella ◽  
Massimo D’Isidoro ◽  
Maria Gabriella Villani ◽  
...  
Keyword(s):  
Air Quality ◽  
Integrated Assessment Model ◽  
Assessment Model ◽  
Atmospheric Pollutants ◽  
Atmospheric Modelling ◽  
Regional Atmospheric Modelling System ◽  
Forecasting System ◽  
Meteorological Input ◽  
Modelling System ◽  
Air Quality Forecasting

Since 2017, the operational high-resolution air quality forecasting system FORAIR_IT, developed and maintained by the Italian National Agency for New Technologies, Energy and Sustainable Economic Development, has been providing three-day forecasts of concentrations of atmospheric pollutants over Europe and Italy, on a daily basis, with high spatial resolution (20 km on Europe, 4 km on Italy). The system is based on the Atmospheric Modelling System of the National Integrated Assessment Model for Italy (AMS-MINNI), which is a national modelling system evaluated in several studies across Italy and Europe. AMS-MINNI, in its forecasting setup, is presently a candidate model for the Copernicus Atmosphere Monitoring Service’s regional production, dedicated to European-scale ensemble model forecasts of air quality. In order to improve the quality of the meteorological input into the chemical transport model component of FORAIR_IT, several tests were carried out on daily forecasts of NO2 and O3 concentrations for January and August 2019 (representative of the meteorological seasons of winter and summer, respectively). The aim was to evaluate the sensitivity to the meteorological input in NO2 and O3 concentration forecasting. More specifically, the Weather Research and Forecasting model (WRF) was tested to potentially improve the meteorological driver with respect to the Regional Atmospheric Modelling System (RAMS), which is currently embedded in FORAIR_IT. In this work, the WRF chain is run in several setups, changing the parameterization of several micrometeorological variables (snow, mixing height, albedo, roughness length, soil heat flux + friction velocity, Monin–Obukhov length), with the main objective being to take advantage of WRF’s consistent physics in the calculation of both mesoscale variables and micrometeorological parameters for air quality simulations. Daily forecast concentrations produced by the different meteorological model configurations are compared to the available measured concentrations, showing the general good performance of WRF-driven results, even if performance skills are different according to the single meteorological configuration and to the pollutant type. WRF-driven forecasts clearly improve the model reproduction of the temporal variability of concentrations, while the bias of O3 is higher than in the RAMS-driven configuration. The results suggest that we should keep testing WRF configurations, with the objective of obtaining a robust improvement in forecast concentrations with respect to RAMS-driven forecasts.

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