SEASONAL AND SPATIAL VARIATION OF PM10 IN AN URBAN AREA FROM ROMANIA

The cyclic variance of PM10 mass concentration in the urban area in the South-East of Romania has been analysed in the article. SE of Romania is considered to be a territory which has medium level of pollution for a period of last ten years, from 2009 to 2018. The spatial dispersion of PM10 concentration was obtained using the METI-LIS soft wear for each season. The objective of dispersion models is to evaluate how pollutant concentration is spread out taking into account the diffusion. The average measurements of PM10 and meteorological parameters as inputs has been used. An evident seasonal change of PM10 concentrations is observed in the article. In order to establish national measures (including economic ones) for the improvement of the atmospheric pollution control it was analysed the mechanism of atmospheric pollution. It was observed that the air quality was overall better in spring and in summer in comparison to the other two periods. With regard to the seasonal variation characteristics of PM10 significant differences for the air quality registered in different months in the researched region were observed. The impact of air temperature on atmospheric pollution was insignificant in spring and autumn; moreover, precipitation was defined as an important influence factor upon the atmospheric pollution. The impact of precipitation on the possibility of atmospheric pollution was obviously different in the four seasons. The research results indicate the meteorological parameters that influence the air pollution become active during the cold seasonal days. It was shown that relative humidity and wind speed are the meteorological parameters that impact the PM10. It was found out that the probability of atmospheric pollution decreased with the increase of air temperature in summer. The research results also testify that the air pollution mapping could be enhanced using atmospheric dispersion models and in-situ measurements

Laser-excited fluorescence for measuring atmospheric pollution

System measures amount of given pollutant at specific location. Infrared laser aimed at location has wavelength that will cause molecules of pollutant to fluoresce. Detector separates fluorescence from other radiation and measures its intensity to indicate concentration of pollutant

Spectral distribution of solar radiation

Available quantitative data on solar total and spectral irradiance are examined in the context of utilization of solar irradiance for terrestrial applications of solar energy. The extraterrestrial solar total and spectral irradiance values are also reviewed. Computed values of solar spectral irradiance at ground level for different air mass values and various levels of atmospheric pollution or turbidity are presented. Wavelengths are given for computation of solar, absorptance, transmittance and reflectance by the 100 selected-ordinate method and by the 50 selected-ordinate method for air mass 1.5 and 2 solar spectral irradiance for the four levels of atmospheric pollution

Active microwave sensing of the atmosphere, chapter 4

The use of active microwave systems to study atmospheric phenomena is studied. Atmospheric pollution, weather prediction, climate and weather modification, weather danger and disaster warning, and atmospheric processes and interactions are covered

Embodied pollution in Spanish household consumption: a disaggregate analysis

In this paper we apply an environmentally extended input-output model to analyse a specific issue related to the Environmental Kuznets Curve hypothesis. The purpose is to study whether the consumption structure ofwealthier households has a positive effect on the reduction of environmental pressures. Combining information from different databases, we analysed the impact of the consumption of Spanish households in 2000 on atmospheric pollution. We considered nine gases: the six greenhouse gases (CO2, CH4, N2O, SF6, HFCs, and PFCs) and three other gases (SO2, NOx, and NH3). We classified households by quintiles of per capita expenditure and equivalent expenditure. We found that there was a positive and very high relationship between the level of expenditure and direct and indirect emissions generated by household consumption; however, the emission intensities tended to decrease with the expenditure level for the various atmospheric pollutants, with the exception of SF6, HFCs and PFCs.input-output analysis, atmospheric pollution, environmental, spain, consumption patterns, kuznets curve

ENVIRONMENTAL SURROUNDINGS AND PERSONAL WELL-BEING IN URBAN CHINA

We examine the relationship between atmospheric pollution, water pollution, traffic congestion, access to parkland and personal well-being using a survey administered across six Chinese cities in 2007. In contrast to existing studies of the determinants of well-being by economists, which have typically employed single item indicators to measure well-being, we use the Personal Well-Being Index (PWI). We also employ the Job Satisfaction Survey (JSS) to measure job satisfaction, which is one of the variables for which we control when examining the relationship between environmental surroundings and personal well-being. Previous research by psychologists has shown the PWI and JSS to have good psychometric properties in western and Chinese samples. A robust finding is that in cities with higher levels of atmospheric pollution and traffic congestion, respondents report lower levels of personal well-being ceteris paribus. Specifically, we find that a one standard deviation increase in suspended particles or sulphur dioxide emissions is roughly equivalent to a 12-13 per cent reduction in average monthly income in the six cities.China, Environment, Pollution, Personal Well-Being.

Atmospheric Pollution, Environmental Justice and Mortality Rate : a Spatial Approach

This paper presents the first study of environmental inequality related to health in France at the national scale. Through an econometric analysis based on a panel data from 2000 to 2004 at a department level, we investigate total mortality rate in relation to socioeconomic status and air pollution. Concentration level of CO, SO2, NO2, NO, O3 and PM10 are estimated by spatial interpolation from local observations of a network of monitoring stations. By running a multivariate model, we first investigate the relationship between socioeconomic factors and total mortality rate ; then, we make the link with environmental air quality measured within the department. Unemployment plays an important role in affecting the mortality rate. Pollutant concentration level are divided into two risk categories (low and high) at the median. We find a positive and significative relationship between NO2 and mortality rate especially at high concentration level of NO2 with a relative risk more important for women. Besides, NO2 level tends to modify the effect of unemployment on mortality rate. These results not only confirm the existence of short term relationships between current air pollution levels and mortality but also raise questions about environmental justice in France.Inequality, air pollution, air quality, environmental economics, environmental health and safety, environmental impact, environmental equity, mortality rate, spatial auto-correlation.

Assessing Atmospheric Pollution and Its Impacts on the Human Health

This reprint contains articles published in the Special Issue entitled "Assessing Atmospheric Pollution and Its Impacts on the Human Health" in the journal Atmosphere. The research focuses on the evaluation of atmospheric pollution by statistical methods on the one hand, and on the other hand, on the evaluation of the relationship between the level of pollution and the extent of its effect on the population's health, especially on pulmonary diseases