Analysis of the evolution of gross alpha and gross beta activities in airborne samples in Valencia (Spain)
| Autor: | Marina Sáez-Muñoz, J. Ortiz, María del Carmen Bas, Sebastian Martorell |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Seasonal variation Health Toxicology and Mutagenesis Gross beta activity ESTADISTICA E INVESTIGACION OPERATIVA Alpha (ethology) Wind 010501 environmental sciences INGENIERIA NUCLEAR 01 natural sciences Animal science Radiation Monitoring Gross alpha activity medicine Environmental Chemistry Relative humidity Beta (finance) Waste Management and Disposal 0105 earth and related environmental sciences Atmospheric factors Temperature Humidity General Medicine Seasonality Alpha Particles medicine.disease Pollution Beta Particles Air Pollutants Radioactive Spain Airborne MLR analysis Environmental science Multiple linear regression analysis Geometric mean |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 0265-931X |
| Popis: | [EN] Gross alpha () and gross beta activities () were measured weekly in the airborne of the Universitat Politècnica de Valencia campus (in the east of Spain) during the period 2009¿2015 (7 years). The geometric mean values of weekly and were 0.53·10¿4 Bq m¿3 and 5.77·10¿4 Bq m¿3, respectively; with an average ratio of 0.097. This study highlights the heterogeneity of gross alpha and gross beta activities depending on the different periods of the year. Data show seasonal variations with the highest activity in summer months and the lowest one in winter months. Several atmospheric factors were considered in order to explain this intra-annual variation (wind speed, temperature, relative humidity, precipitations, dust content and prevailing wind directions). Multiple Linear Regression Analysis were performed in order to obtain information on significant atmospheric factors that affect gross ¿ and gross ß variability, which could be useful in identifying meteorological or atmospheric changes that could cause deviations in gross ¿ and gross ß activity depending on the seasons considered. Models obtained explain more than 60% of variability for global data, and also for winter and spring-autumn months. However, more research is needed to explain gross ¿ and gross ß variability in summer months, because the atmospheric factors considered in the MLR explain less than 35% of variability. This study has been partially supported by the REM program of the Nuclear Safety Council of Spain (SRA/2071/2015/227.06). We also thank the Universitat Politecnica de Valencia for financial support under "Programa propio para la Formacide de Personal Investigador (FPI) de la Universitat Politecnica de Valencia Subprograma 1". We are also grateful to the UPV's weather station for providing the atmospheric information used in this study. |
| Databáze: | OpenAIRE |
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