Integrated Evaluation of Road Transport Pollution Impact on the Urban Air

2017 ◽  
Author(s):  
Vaida Šerevičienė ◽  
Vaida Vasiliauskienė ◽  
Dainius Paliulis ◽  
Jurgita Aleknaitė
Keyword(s):  
Heavy Metals ◽  
Air Pollution ◽  
Nitrogen Dioxide ◽  
Urban Air Pollution ◽  
Visual Assessment ◽  
Road Transport ◽  
Urban Air ◽  
Diffusive Sampling ◽  
Active Measurement ◽  
Pollution Impact

With the number of vehicles increasing, the analysis of urban air pollution becomes expedient. This article deals with the integrated evaluation of road transport realised pollutant impact on the urban air. During research, it was carried out complex measurements of the air quality involving passive diffusive sampling for nitrogen dioxide, active measurement for particle matters, lichen sampling for heavy metals and visual assessment of trees defoliation. Obtained results showed the statistically reliable (p < 0.05) strong correlation (r = 0.83) between the number of passing vehicles and the concentration of particulate matter and there is even stronger correlation (r = 0.94; p < 0.05) between the concentration of nitrogen dioxide and the number of passing vehicles. It was observed during the analysis, that in measuring sites in which was determined 30% more intense defoliation process, also determined a higher NO2 (>10μg/m3) and lead (~10 mg/kg) concentrations. It can be argued that the source of mentioned pollutants is the same – motor transport, and their presence in the environment influences defoliation phenomenon.

Multielemental analysis in Nerium Oleander L. leaves as a way of assessing the levels of urban air pollution by heavy metals

2019 ◽  
Vol 152 ◽  
pp. 18-24 ◽  
Author(s):  
Ramon S. Santos ◽  
Francis A.C.R.A. Sanches ◽  
Roberta G. Leitão ◽  
Catarine C.G. Leitão ◽  
Davi F. Oliveira ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Air Pollution ◽  
Urban Air Pollution ◽  
Nerium Oleander ◽  
Urban Air ◽  
Multielemental Analysis

scholarly journals THE PREDICTIVE EFFECTS OF PROTECTION MOTIVATION THEORY ON ADAPTIVE BEHAVIOUR TOWARDS URBAN AIR QUALITY

2019 ◽  
Vol 5 (1) ◽  
pp. 69-74
Author(s):  
Syazwani Sahrir
Keyword(s):  
Air Pollution ◽  
Urban Areas ◽  
Urban Air Pollution ◽  
Road Transport ◽  
Protection Motivation Theory ◽  
Adaptive Behaviour ◽  
Urban Air ◽  
Protection Motivation ◽  
Motivation Theory ◽  
Behavioural Responses

In urban areas, the rigid division of residential, commercial, employment and recreational areas forms a reliance on road transport, which leads to high levels of emission that gradually affects the quality of the urban environment. We establish the Protection Motivation Theory (PMT) as a framework for explaining adaptive behavioural responses among urban communities in Malaysia. Participants (N = 450) answered to face-to-face questionnaire survey, and the results specify establishment for the proposed model, with perceived vulnerability (H1) (ß = 0.246, t = 4.534, P=0.000) and and self-efficacy (H3) (ß = 0.510, t = 9.653, P=0.000) positively predicting adaptive behaviour on  urban air pollution. The results presented that these structures were able to predict 47% of the variance of adaptive behaviour. The study establishes a significant contribution to the literature by contributing an indication of PMT as an ideal framework for adaptive behavioural responses on urban air pollution.

Urban Air Pollution Impact of Modal Shift in School Transportation in Kuwait

2002 ◽  
Vol 128 (2) ◽  
pp. 89-104 ◽  
Author(s):  
P. A. Koushki ◽  
S. Al-Fadhala ◽  
O. Al-Saleh ◽  
A. H. Aljassar
Keyword(s):  
Air Pollution ◽  
Urban Air Pollution ◽  
Urban Air ◽  
School Transportation ◽  
Modal Shift ◽  
Pollution Impact

An Urban Air Pollution Early Warning System Based on PM2.5 Prediction Applied in Ploiesti City

2017 ◽  
Vol 68 (4) ◽  
pp. 858-863
Author(s):  
Mihaela Oprea ◽  
Marius Olteanu ◽  
Radu Teodor Ianache
Keyword(s):  
Air Pollution ◽  
Early Warning ◽  
Urban Areas ◽  
Early Warning System ◽  
Urban Air Pollution ◽  
Warning System ◽  
Air Pollutant ◽  
Pollution Level ◽  
Urban Air ◽  
Prediction Approach

Fine particulate matter with a diameter less than 2.5 �m (i.e. PM2.5) is an air pollutant of special concern for urban areas due to its potential significant negative effects on human health, especially on children and elderly people. In order to reduce these effects, new tools based on PM2.5 monitoring infrastructures tailored to specific urban regions are needed by the local and regional environmental management systems for the provision of an expert support to decision makers in air quality planning for cities and also, to inform in real time the vulnerable population when PM2.5 related air pollution episodes occur. The paper focuses on urban air pollution early warning based on PM2.5 prediction. It describes the methodology used, the prediction approach, and the experimental system developed under the ROKIDAIR project for the analysis of PM2.5 air pollution level, health impact assessment and early warning of sensitive people in the Ploiesti city. The PM2.5 concentration evolution prediction is correlated with PM2.5 air pollution and health effects analysis, and the final result is processed by the ROKIDAIR Early Warning System (EWS) and sent as a message to the affected population via email or SMS. ROKIDAIR EWS is included in the ROKIDAIR decision support system.

scholarly journals Urban Air Pollution May Enhance COVID-19 Case-Fatality and Mortality Rates in the United States

2020 ◽  
Vol 1 (3) ◽  
pp. 100047 ◽  
Author(s):  
Donghai Liang ◽  
Liuhua Shi ◽  
Jingxuan Zhao ◽  
Pengfei Liu ◽  
Jeremy A. Sarnat ◽  
...  
Keyword(s):  
United States ◽  
Air Pollution ◽  
Urban Air Pollution ◽  
Case Fatality ◽  
The United States ◽  
Mortality Rates ◽  
Urban Air

The impact of COVID-19 pandemic in Mediterranean urban air pollution and mobility

2021 ◽  
pp. 1-16
Author(s):  
Nikolaos Sifakis ◽  
Maria Aryblia ◽  
Tryfon Daras ◽  
Stavroula Tournaki ◽  
Theocharis Tsoutsos
Keyword(s):  
Air Pollution ◽  
Urban Air Pollution ◽  
Urban Air ◽  
The Impact
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