scholarly journals Case Study of Hazardous Air Pollutant Concentrations in Residential Areas nearby Small and Medium scale Shipbuilding Companies

2009 ◽  
Vol 18 (5) ◽  
pp. 517-525 ◽  
Author(s):  
Jae-Woo Chung ◽  
Myoung-Eun Lee
Keyword(s):  
Air Pollutant ◽  
Residential Areas ◽  
Medium Scale ◽  
Pollutant Concentrations ◽  
Air Pollutant Concentrations ◽  
Hazardous Air Pollutant

scholarly journals A comparative analysis of air pollutant concentrations and inflow trajectories: a case study of selected cities in South-Eastern Poland

2018 ◽  
Vol 45 ◽  
pp. 00060 ◽  
Author(s):  
Robert Oleniacz ◽  
Tomasz Gorzelnik ◽  
Adriana Szulecka
Keyword(s):  
Meteorological Data ◽  
Road Transport ◽  
Air Pollutant ◽  
Hysplit Model ◽  
Urban Background ◽  
South Eastern ◽  
Pollutant Concentrations ◽  
High Concentrations ◽  
Air Pollutant Concentrations

The paper presents a comparison of air pollutant concentrations in three cities in South-Eastern Poland (Krakow, Tarnow and Rzeszow) using statistical analyses and backward trajectory modelling (the HYSPLIT model). The analyses were based on particulate matter (PM10), nitrogen dioxide (NO2) and sulphur dioxide (SO2) levels as well as meteorological data from year 2017. The performed analyses revealed, among others, that the PM10 and SO2 concentrations in the air depend on the season of the year, while the NO2 concentrations are seasonally independent, which is mainly associated with emissions from road transport. Air quality in the analysed cities depends on local meteorological conditions and the structure of emission sources, including the inflowing background. The most unfavourable situation regarding high concentrations of PM10 and NO2 occurs in Krakow. For all analysed urban background stations very similar low SO2 air concentrations are observed which proves the decreasing significance of emissions from coal combustion sources.

scholarly journals Impact of mixing layer height variations on air pollutant concentrations and health in a European urban area: Madrid (Spain), a case study

2020 ◽  
Vol 27 (33) ◽  
pp. 41702-41716 ◽  
Author(s):  
Pedro Salvador ◽  
Marco Pandolfi ◽  
Aurelio Tobías ◽  
Francisco Javier Gómez-Moreno ◽  
Francisco Molero ◽  
...  
Keyword(s):  
Urban Area ◽  
Mixing Layer ◽  
Air Pollutant ◽  
Layer Height ◽  
Pollutant Concentrations ◽  
Mixing Layer Height ◽  
Air Pollutant Concentrations

scholarly journals Territorial Changes and Effects on the Health of the Populations Surrounding Case Study: Itaqui Port, Northeast of Brazil

2016 ◽  
Vol 9 (5) ◽  
pp. 43
Author(s):  
Livia Regina Montes Gama Rios ◽  
Antonio Carlos Leal Castro ◽  
Helen Roberta Silva Ferreira ◽  
Leonardo Silva Soares ◽  
James Werllen De Jesus Azevedo ◽  
...  
Keyword(s):  
Public Policies ◽  
Thermal Power ◽  
Air Pollutant ◽  
High Rate ◽  
Health Conditions ◽  
Pollutant Concentrations ◽  
Urban Safety ◽  
Air Pollutant Concentrations ◽  
Bodies Of Water

<p class="Nornaltexto">This study addresses the territorial changes and health conditions of populations living in the area affected by the Porto do Itaqui Thermal Power Plant (TPP), specifically the Vila Maranhão, Cajueiro, Camboa dos Frades, Nova Camboa dos Frades and São Benedito communities located in the municipality of São Luís – MA, Brazil. The data consisted of 191 interviews that were conducted from January to October 2013. The results showed that the individuals from these communities had a low educational level, with most having attended school only up to the elementary level, which contributes to a high rate of unemployment or of individuals surviving on temporary jobs. The communities’ environmental awareness indicated that the main difficulties were associated with the lack of public policies, particularly regarding roads, garbage collection, low sanitation coverage, increased violence, unemployment, and informal employment. Regarding air quality, the results showed that the air pollutant concentrations still met the established limits, although the Camboa dos Frades community showed greater health problems due to a direct influence of pollutants. The reconfiguration of land use and land cover caused changes in the organization of the communities and the environment, reflected by the predominance of semi-urbanized areas and changes in the flows of small bodies of water caused by siltation from erosion. The identification of health conditions and the changes occurring in the communities affected by projects such as the TPP is important; therefore, public policies for urban mobility, spatial planning, health, education and urban safety should be proposed for such communities.</p>

scholarly journals Modelling of Urban Air Pollutant Concentrations with Artificial Neural Networks Using Novel Input Variables

2020 ◽  
Vol 17 (6) ◽  
pp. 2025
Author(s):  
Laura Goulier ◽  
Bastian Paas ◽  
Laura Ehrnsperger ◽  
Otto Klemm
Keyword(s):  
Air Pollutants ◽  
Air Pollutant ◽  
Urban Air ◽  
Pollutant Concentrations ◽  
Day Of The Week ◽  
Artificial Neural ◽  
Input Variables ◽  
Air Pollutant Concentrations ◽  
Artificial Neural Network Ann ◽  
Performance Results

Since operating urban air quality stations is not only time consuming but also costly, and because air pollutants can cause serious health problems, this paper presents the hourly prediction of ten air pollutant concentrations (CO2, NH3, NO, NO2, NOx, O3, PM1, PM2.5, PM10 and PN10) in a street canyon in Münster using an artificial neural network (ANN) approach. Special attention was paid to comparing three predictor options representing the traffic volume: we included acoustic sound measurements (sound), the total number of vehicles (traffic), and the hour of the day and the day of the week (time) as input variables and then compared their prediction powers. The models were trained, validated and tested to evaluate their performance. Results showed that the predictions of the gaseous air pollutants NO, NO2, NOx, and O3 reveal very good agreement with observations, whereas predictions for particle concentrations and NH3 were less successful, indicating that these models can be improved. All three input variable options (sound, traffic and time) proved to be suitable and showed distinct strengths for modelling various air pollutant concentrations.

Sign in / Sign up

Export Citation Format

Share Document