Autor: |
San Miguel EG; Department of Integrated Sciences, Area of Applied Physics, University of Huelva, 21071, Huelva, Spain; Research Center on Natural Resources, Health and the Environment (RENSMA), University of Huelva, 21071, Huelva, Spain. Electronic address: sanmigue@uhu.es., Hernández-Ceballos MA; European Commission, Joint Research Centre (JRC), Ispra, Italy., García-Mozo H; Department of Botany, Ecology and Plant Physiology, Agrifood, Campus of International Excellence (CeiA3), University of Córdoba, Córdoba, Spain., Bolívar JP; Department of Integrated Sciences, Area of Applied Physics, University of Huelva, 21071, Huelva, Spain; Research Center on Natural Resources, Health and the Environment (RENSMA), University of Huelva, 21071, Huelva, Spain. |
Abstrakt: |
7 Be, 210 Pb and PM 10 levels in surface air have been simultaneously measured at two sampling sites in the southern Iberian Peninsula for a period of two years. Each site covers one different meteorological area of the Guadalquivir valley, from the mouth (Huelva) to the middle point (Cordoba). The objective of the present study is to analyse the spatial variability of both natural radionuclides, and to identify and characterise the meteorological patterns associated with similar and different surface concentration levels in this complex region. Concentrations are similar in both sampling sites. 7 Be level is in the 0.6-15.5 mBq m -3 range in Huelva and 1.2-13.3 mBq m -3 in Córdoba, 210 Pb activity concentrations are between 0.04 and 2.30 mBq m -3 in Huelva, and between 0.03 and 1.2 mBq m -3 in Cordoba, and PM 10 concentrations are found to be in the 5.1-81.3 μg m -3 range in Huelva, and 8.2-76.3 μg m -3 in Cordoba, respectively. A linear regression analysis indicates more regional variability for 210 Pb than for 7 Be between simultaneous measurements. Principal components analysis (PCA) is applied to the datasets and the results reveal that aerosol behaviour is mainly represented by two components, which explain 82% of the total variance. The analysis of surface measurements and meteorological parameters revealed that component F1 groups sampling periods in which the influence of similar meteorological conditions over the region lead to similar 7 Be, 210 Pb and PM 10 concentration levels in both sampling sites. On the other hand, component F2 detaches the 7 Be, 210 Pb and PM 10 concentration levels between monitoring sites, and the meteorological analysis shows how surface concentrations within this component are associated with the development of different mesoscale circulations in each part of the valley. The identification of sampling periods characterised by differences in surface concentrations and wind patterns between stations suggests that the valley could not be considered as one single unit for certain meteorological scenarios. These results evidence how the understanding of wind characteristics within a complex terrain provide some essential knowledge in the regionalization and/or optimization of monitoring networks. (Copyright © 2018 Elsevier Ltd. All rights reserved.) |