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There is extensive evidence of the negative impacts on health linked to the rise of the regional background of particulate matter (PM) 10 levels. These levels are often increased over urban areas becoming one of the main air pollution concerns. This is the case on the Bilbao metropolitan area, Spain. This study describes a data-driven model to diagnose PM10 levels in Bilbao at hourly intervals. The model is built with a training period of 7-year historical data covering different urban environments (inland, city centre and coastal sites). The explanatory variables are quantitative-log [NO2], temperature, short-wave incoming radiation, wind speed and direction, specific humidity, hour and vehicle intensity-and qualitative-working days/weekends, season (winter/summer), the hour (from 00 to 23 UTC) and precipitation/no precipitation. Three different linear regression models are compared: simple linear regression; linear regression with interaction terms (INT); and linear regression with interaction terms following the Sawa's Bayesian Information Criteria (INT-BIC). Each type of model is calculated selecting two different periods: the training (it consists of 6 years) and the testing dataset (it consists of 1 year). The results of each type of model show that the INT-BIC-based model (R(2) = 0.42) is the best. Results were R of 0.65, 0.63 and 0.60 for the city centre, inland and coastal sites, respectively, a level of confidence similar to the state-of-the art methodology. The related error calculated for longer time intervals (monthly or seasonal means) diminished significantly (R of 0.75-0.80 for monthly means and R of 0.80 to 0.98 at seasonally means) with respect to shorter periods.

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Traffic is the major air pollution source in most urban areas. Nowadays, most of the strategies carried out to improve urban air quality are focused on reducing traffic emissions. Nevertheless, acting locally on urban design can also reduce levels of air pollutants. In this paper, both strategies are studied in several scenarios for a medium-sized town of the Basque Country (Spain). Two main actions are analysed in order to reduce traffic emissions: (1) minor extension ofa pre-existing low emission zone (LEZ); (2) substitution of 10% of passenger cars that are older than 5 years by hybrid and electric vehicles. Regarding local urban design, three alternatives for the development of one side of a street canyon are considered: (1) a park with trees; (2) an open space without obstacles; (3) a building. Two different urban traffic dispersion models are used to calculate the air quality scenarios: PROKAS (Gaussian&box) to analyse the reduction of traffic emissions in the whole urban area and WinMISKAM (CFD) to evaluate specific urban designs. The results show the effectiveness of the analysed actions. On one hand, the definition of a small LEZ, as well as the introduction in 2015 of vehicles with new technology (hybrid and electric), results in minor impacts on PM10 and NO2 ambient concentrations. On the other hand, local urban design can cause significant variation in spatial distribution ofpollutant concentrations emitted inside street canyons. Consequently, urban planners should consider all these aspects when dealing with urban air pollution control.

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OBJECTIVE: To describe how smoking evolved during pregnancy and a long postpartum period, with analysis of the factors associated with giving up tobacco. DESIGN: Retrospective, descriptive study. SETTING: Badia del Vallès Primary Care Centre (Barcelona). PARTICIPANTS: Women with pregnancies coming to term over a 3-year period (n=309, 68% of the target population). MAIN MEASUREMENTS: Tobacco dependency before pregnancy. Giving up during pregnancy and related factors (social and personal, nature of tobacco habit, health beliefs). Backsliding after birth. RESULTS: 50% smoked before pregnancy. 46% of these gave up smoking during pregnancy and 44% cut down. In primigravidae, there was greater risk of their continuing to smoke, the greater their previous tobacco consumption was (OR=5.3 if > or =20 cigarettes a day and OR=4.7 for 10-19 cigarettes a day) or if they did not believe in the effect of tobacco on the baby's health (OR=3.9). In women pregnant for the second time or more, it was associated with not giving up tobacco in previous pregnancies (OR=43.8) and with their partner's tobacco habit (OR=7.2). In the 2 years after birth 80% of those who gave up relapsed. CONCLUSIONS: In our milieu a high prevalence of smokers before pregnancy coexists with a high rate of giving up during pregnancy. In all, 1 in every 4 women smokes during pregnancy. Giving up tobacco was related to factors such as dependency, motivation, environment and prior experience.

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A method for arsenic speciation in soils is developed, based on extraction with a mixture of 1 mol l(-1) of phosphoric acid and 0.1 mol l(-1) of ascorbic acid, and further measurement with the coupling liquid chromatography (LC)-ultraviolet (UV) irradiation-hydride generation (HG)-inductively coupled plasma mass spectrometry (ICP/MS). The stability of the arsenic species in the extracts is also studied. The speciation method applied to several Spanish agricultural contaminated soils from the Aznalcollar zone shows that arsenate is the main species in all the soils analysed and that in some samples arsenite and methylated species could also be detected. The determination of the "pseudototal" arsenic in these soils, obtained by applying extraction with aqua regia (ISO Standard 11466), is also carried out. Both the speciation method and the aqua regia method are applied to several certified reference materials (CRMs) in which total arsenic content is certified. Finally, the same LC-UV-HG coupling with atomic fluorescence spectrometry (AFS) detection reveals to be a valid coupling system to perform arsenic speciation in the soils according to its fair quality parameters and easy utilisation.

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A method has been developed for the determination of seven arsenic species in mussel tissues by liquid chromatography-hydride generation-UV photo-oxidation and detection by inductively coupled plasma mass spectrometry. In order to determine the different species, two ion-exchange columns (anionic and cationic) were used with phosphate and nitric acid/ammonium nitrate as mobile phases, respectively. The optimisation of the conditions for separation, photo-oxidation and hydride generation is described. For each of these species, the limits of detection and repeatability are reported with the entire system coupling. This system was applied to the analysis of certified reference material (CRM 278) and mussels collected from Barcelona harbour. Extractions were achieved in methanol/water (1:1) using low-power focused microwaves as leaching process. As expected, arsenobetaine was the main compound extracted from both materials; the typical concentrations found were between 1 and 7 mg kg(-1). Other organoarsenical compounds, probably arsenosugars, were extracted in a concentration range of 0.3-1.5 mg kg(-1) in both cases. Amounts of dimethylarsinate (DMA) were found to be significant in the CRM 278, but very low in mussels from Barcelona harbour. The low limits of detection of the coupled system allow us to quantify low contents of other species (As(V), arsenocholine and monomethylarsonate (MMA)).