1,721,022 research outputs found
Influence of Climatic Conditions and Atmospheric Pollution on Admission to Emergency Room During Warm Season: The Case Study of Bari
Full text linkThe study of the effects of climate change and air pollution on human health
is an interesting topic for wellbeing projects in urban areas. We present a method for
highlighting how adverse weather and environmental conditions affect human health and influence emergency room admissions during the summer in an urban area. Daily apparent temperature, a biometeorological index, was used to characterize thermal discomfort while atmospheric concentrations of PM10 and NOX were used as indicators of unfavorable environmental conditions. We analyzed how the above parameters influence the emergency room access, considering all the different pathologies. Over the four years analyzed, we identified the periods during which environmental conditions (both thermal discomfort and pollutant concentrations) were unfavorable, the persistence of these conditions, and verified that during these days, the average daily number of emergency room visits increased. Visits for ENT and dermatological disorders also showed significant increases. Our analysis showed that emergency room access is useful in evaluating the impact of unfavorable climatic and environmental conditions on human health during the summer period; viceversa, our results could be used to optimize resource management in emergency rooms during this specific period of the year
Magnetic susceptibility measurements used for monitoring heavy metals in the industrial area of Tito scalo. Comparison with the results obtained in different industrial areas of Basilicata Region (southern Italy)
No full textMagnetic susceptibility measurements as proxy method to monitor soil pollution: development of experimental protocols for field surveys
No full textThe application of an integrated GIS procedure for characterising TSP industrial emissions impact: a test case in Southern Italy
No full textA statistical procedure for analyzing the behavior of air pollutants during temperature extreme events: The case study of emilia‐romagna region (northern italy)
Full text linkMeteorological conditions play a crucial role in air pollution by affecting both directly and indirectly the emissions, transport, formation, and deposition of air pollutants. Extreme weather events can strongly affect surface air quality. Understanding relations between air pollutant concentrations and extreme weather events is a fundamental step toward improving the knowledge of how excessive heat impacts on air quality. In this work, we developed a statistical procedure for investigating the variations in the correlation structure of four air pollutants (NOx, O3, PM10, PM2,5) during extreme temperature events measured in monitoring sites located of Emilia Romagna region, Northern Italy, in summer (June–August) from 2015 to 2017. For the selected stations, Hot Days (HDs) and Heat Waves (HWs) were identified with respect to historical series of maximum temperature measured for a 30‐year period (1971–2000). This method, based on multivariate techniques, allowed us to highlight the variations in air quality of study area due to the occurrence of HWs. The examined data, including PM concentrations, show higher values, whereas NOx and O3 concentrations seem to be not influenced by HWs. This operative procedure can be easily exported in other geographical areas for studying effects of climate change on a local scale
APPLICATION OF MCA FOR STUDYING AS THE LIFESTYLE AND THE AIR QUALITY CAN AFFECT FORMS OF SLEEP DISORDERED BREATHING
No full textDespite an extensive research on the adverse effects of air pollution on human health, little was known about the mechanism by which air pollutants may affect sleep. Particularly for adults, it was proposed that particles influence sleep because they cause damages to the upper airways and because they have dangerous effects on the central nervous system. It was also suggested that environmental tobacco smoke exposure (active or passive) may be a cause of poor sleep and of sleep health disparities. In this study we present the application of the Multiple Correspondence Analysis (MCA) to analyze qualitative data regarding lifestyles of patients and the analysis of results obtained combining qualitative e quantitative data. In particular, Cluster Analysis (CA), and Principal Component Analysis (PCA) were used in order to investigate the potential relationships between PM10 concentrations and the occurrence of the Obstructive Sleep Apnoea Syndrome (OSAS), a particular respiratory disease consisting in a form of sleep disordered breathing. We used a database composed of polisomnography test performed on 295 patients living in Rome urban area, data about the lifestyles related to OSAS risk factors of the patients and PM10 daily concentrations measured by Air Quality Monitoring Network of Rome urban area in 11 sampling sites from 2008 to 2011
Analysis of particulate matter levels and temperature extreme events in the summer time: a study case
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