Polycyclic aromatic hydrocarbons (PAHs) concentrations in PM10 and PM2.5 particles were measured at 14 monitoring sites (12 for PM10 and 2 for PM2.5), located in the Metropolitan Area of Costa Rica, from January to November 2013. High-volume air samplers with pretreated quartz filters were used to collect the particles. The analytical determination was carried out using high-performance liquid chromatography (HPLC). The most abundant PAHs were benzo[a]anthracene, indeno(1,2,3-cd)pyrene, dibenz[a,h]anthracene and acenaphthylene. Ratios obtained by correlating the concentration of some PAHs, both PM10 and PM2.5, suggest that gasoline and diesel vehicles are the main sources in the area being studied. This is consistent with the results obtained when applying the positive matrix factorization (PMF) analysis, since vehicles accounted for 62–74% of total emissions in the area; burning wood fuel was the second source of emissions, contributing between 7 and 15%; and road dust was third, with almost 8%. | Se midieron las concentraciones de hidrocarburos aromáticos policíclicos (HAP) en partículas PM10 y PM2.5 en 14 sitios de monitoreo (12 para PM10 y 2 para PM2.5), ubicados en el Área Metropolitana de Costa Rica, de enero a noviembre de 2013. Alto volumen Se utilizaron muestreadores de aire con filtros de cuarzo pretratados para recoger las partículas. La determinación analítica se realizó mediante cromatografía líquida de alta resolución (HPLC). Los HAP más abundantes fueron benzo [a] antraceno, indeno (1,2,3-cd) pireno, dibenz [a, h] antraceno y acenaftileno. Los ratios obtenidos al correlacionar la concentración de algunos HAP, tanto de PM10 como de PM2,5, sugieren que los vehículos de gasolina y diésel son las principales fuentes en el área de estudio. Esto es consistente con los resultados obtenidos al aplicar el análisis de factorización matricial positiva (PMF), ya que los vehículos representaron 62-74% de las emisiones totales en el área; la quema de leña fue la segunda fuente de emisiones, contribuyendo entre el 7 y el 15%; y el polvo de la carretera ocupó el tercer lugar, con casi el 8%. | Universidad Nacional, Costa Rica | Laboratorio de Análisis Ambiental. Facultad de Ciencias Ambientales. Universidad Nacional, Costa Rica

This study analyzed the profiles of polycyclic aromatic hydrocarbons (PAHs) in filterable PM2.5 particles collected from a total of 71 boilers and 22 indirect type furnaces that burn liquid and biomass fuels in the Metropolitan Area of Costa Rica, from February 2014 to November 2015. Modified method NIOSH 5506 was used to analyze PAHs content present in the filter samples. The average concentration of PM2.5 showed values between 18 and 735 mg m−3, based on the source and fuel type used, while the total PAHs in the PM2.5 fraction ranged 1.02–592 μgm−3. For biomass boilers, the most abundant species were Benzo[g,h,i]perylene (BghiP) (35.7–46.5%), Indeno[1,2,3-cd]pyrene (IND) (20.6–27.1%), Benzo[a]pyrene (BaP) (5.2–14.7%) and Dibenzo[a,h]anthracene (DBA) (3.2–13.9%), while for liquid fuels IND (12.8–20.5%), BghiP (7.9–21.2%), Fluoranthene (Flu) (14.5–21.3%) and Pyrene (Pyr) (9.8–14.5%) prevailed. The particles from biomass furnace emissions present higher concentrations of PAHs classified by the U.S. EPA as probable human carcinogens causing a greater health risk than other fuels. Among the diagnostic concentration ratios examined, only BaP/(BaP+Chr), BaA/Chr, BaA/BaP and Pyr/BaP coefficients demonstrated codependency on the type of fuel used. | Este estudio analizó los perfiles de hidrocarburos aromáticos policíclicos (HAP) en partículas filtrables PM2.5 recolectadas de un total de 71 calderas y 22 hornos de tipo indirecto que queman combustibles líquidos y de biomasa en el Área Metropolitana de Costa Rica, de febrero de 2014 a noviembre de 2015 Se utilizó el método modificado NIOSH 5506 para analizar el contenido de PAH presentes en las muestras de filtro. La concentración promedio de PM2.5 mostró valores entre 18 y 735 mg m − 3, según la fuente y el tipo de combustible utilizado, mientras que los PAH totales en la fracción de PM2.5 variaron entre 1.02 y 592 μgm − 3. Para las calderas de biomasa, las especies más abundantes fueron Benzo [g, h, i] perileno (BghiP) (35,7–46,5%), Indeno [1,2,3-cd] pireno (IND) (20,6–27,1%), Benzo [a] pireno (BaP) (5,2–14,7%) y Dibenzo [a, h] antraceno (DBA) (3,2–13,9%), mientras que para los combustibles líquidos IND (12,8–20,5%), BghiP (7,9–21,2%) , Predominaron el fluoranteno (gripe) (14,5–21,3%) y el pireno (Pyr) (9,8–14,5%). Las partículas de las emisiones de los hornos de biomasa presentan concentraciones más altas de HAP clasificados por la EPA de los EE. UU. Como probables carcinógenos humanos y causan un mayor riesgo para la salud que otros combustibles. Entre las relaciones de concentración de diagnóstico examinadas, solo los coeficientes BaP / (BaP + Chr), BaA / Chr, BaA / BaP y Pyr / BaP demostraron codependencia en el tipo de combustible utilizado. | Este estudo analisou os perfis de hidrocarbonetos policíclicos aromáticos (PAHs) em partículas filtráveis ​​de PM2,5 coletadas de um total de 71 caldeiras e 22 fornos do tipo indireto que queimam combustíveis líquidos e de biomassa na Área Metropolitana da Costa Rica, de fevereiro de 2014 a novembro de 2015 O método modificado NIOSH 5506 foi usado para analisar o conteúdo de PAHs presentes nas amostras de filtro. A concentração média de PM2,5 apresentou valores entre 18 e 735 mg m − 3, com base na fonte e no tipo de combustível usado, enquanto o total de PAHs na fração PM2,5 variou de 1,02–592 μgm − 3. Para caldeiras de biomassa, as espécies mais abundantes foram Benzo [g, h, i] perileno (BghiP) (35,7-46,5%), Indeno [1,2,3-cd] pireno (IND) (20,6-27,1%), Benzo [a] pireno (BaP) (5,2–14,7%) e Dibenzo [a, h] antraceno (DBA) (3,2–13,9%), enquanto que para combustíveis líquidos IND (12,8–20,5%), BghiP (7,9–21,2%) , Fluoranteno (Flu) (14,5–21,3%) e Pireno (Pyr) (9,8–14,5%) prevaleceram. As partículas das emissões do forno de biomassa apresentam maiores concentrações de PAHs classificados pela U.S. EPA como prováveis ​​carcinógenos humanos, causando um maior risco à saúde do que outros combustíveis. Dentre as razões de concentração diagnósticas examinadas, apenas os coeficientes BaP / (BaP + Chr), BaA / Chr, BaA / BaP e Pyr / BaP demonstraram co-dependência do tipo de combustível utilizado. | Universidad Nacional, Costa Rica | Universidad Autónoma Metropolitana, México | Escuela de Ciencias Ambientales

A number of methods have been reported for determining hydrophobic organic compound adsorption to dispersed carbon nanotubes (CNTs), but their accuracy and reliability remain uncertain. We have evaluated three methods to investigate the adsorption of phenanthrene (a model polycyclic aromatic hydrocarbon; PAH) to CNTs with different physicochemical properties; dialysis tube (DT) protected negligible depletion solid phase microextraction (DT-nd-SPME), ultracentrifugation and filtration using various types of filters. Dispersed CNTs adhered to the unprotected PDMS-coated fibers used in nd-SPME. Protection of the fibers from CNT adherence was investigated with hydrophilic DT, but high PAH sorption to the DT was observed. The efficiency of ultracentrifugation and filtration to separate CNTs from the water phase depended on CNT physicochemical properties. While non-functionalized CNTs were efficiently separated from the water phase using ultracentrifugation, incomplete separation of carboxyl functionalized CNTs was observed. Filtration efficiency varied with different filter types (composition and pore size), and non-functionalized CNTs were more easily separated from the water phase than functionalized CNTs. Sorption of phenanthrene was high (<70%) for three of the filters tested, making them unsuitable for the assessment of phenanthrene adsorption to CNTs. Filtration using a hydrophilic polytetrafluoroethylene (PTFE) filter membrane (0.1 µm) was found to be a simple and precise technique for the determination of phenanthrene adsorption to a range of CNTs, efficiently separating all types of CNTs and exhibiting a good and highly reproducible recovery of phenanthrene (82%) over the concentration range tested (70-735 µg/L). | acceptedVersion

peer reviewed | Anthropogenic particles (APs), including microplastics, are ingested by a wide variety of marine organisms. Exposure of Clupeiformes (e.g. herrings, anchovies, sardines) is poorly studied despite their economic and ecological importance. This study aims to describe the morphology of the filtration apparatus of three wild-caught Clupeiformes (Sardina pilchardus, Clupea harengus and Engraulis encrasicolus) and to relate the results to ingested APs. Consequently, the species with the more efficient filtration apparatus will be more likely to ingest APs. We hypothesized that sardines were the most exposed species. The filtration area and particle retention threshold were determined in the three species, with sardines displaying the highest filtration area and the closest gill rakers. Sardines ingested more fibers and smaller fragments, confirming that it is the most efficient filtering species. These two results lead to the conclusion that, among the three studied, the sardine is the species most exposed to APs.

peer reviewed | Franciscana dolphins are the most impacted small cetacean in the Southwestern Atlantic Ocean, classified as Vulnerable A3d by IUCN. Essential (Fe, Mo, Mn, Cr, Ni, Co) and non-essential (Ag, Pb, Sn) trace elements (TEs) were measured in liver, kidney, and brain samples of by-catch Franciscana dolphins that were living in estuarine (n = 21) and marine (n = 21) habitats (1) to assess whether TEs posed a threat and (2) to evaluate the suitability of TEs for discriminating ecological populations of this species in Argentinean waters. Essential TEs showed little variation in tissues from both groups in agreement with levels reported for other cetaceans and suggesting that these concentrations correspond to normal physiological levels. Non-essential TEs were higher in estuarine juveniles and adults dolphins than in marine specimens. These results suggest anthropogenic sources associated with estuarine area and that Franciscana dolphins are good sentinels of the impact of the environment. The difference in the concentrations of TEs beetwen ecological populations appeared to be related to distinct exposures in both geographical areas, and it is suggested that Ag and Sn concentrations in adults are good chemical tracers of anthropogenic input of TEs. These results provide additional information for improved management and regulatory policy.

The replenishment and persistence of marine species is contingent on dispersing larvae locating suitable habitat and surviving to a reproductive stage. Pelagic larvae rely on environmental cues to make behavioural decisions with chemical information being important for habitat selection at settlement. We explored the sensory world of crustaceans and fishes focusing on the impact anthropogenic alterations (ocean acidification, red soil, pesticide) have on conspecific chemical signals used by larvae for habitat selection. Crustacean (Stenopus hispidus) and fish (Chromis viridis) larvae recognized their conspecifics via chemical signals under control conditions. In the presence of acidified water, red soil or pesticide, the ability of larvae to chemically recognize conspecific cues was altered. Our study highlights that recruitment potential on coral reefs may decrease due to anthropogenic stressors. If so, populations of fishes and crustaceans will continue their rapid decline; larval recruitment will not replace and sustain the adult populations on degraded reefs.

International audience | The replenishment and persistence of marine species is contingent on dispersing larvae locating suitable habitat and surviving to a reproductive stage. Pelagic larvae rely on environmental cues to make behavioural decisions with chemical information being important for habitat selection at settlement. We explored the sensory world of crustaceans and fishes focusing on the impact anthropogenic alterations (ocean acidification, red soil, pesticide) have on conspecific chemical signals used by larvae for habitat selection. Crustacean (Stenopus hispidus) and fish (Chromis viridis) larvae recognized their conspecifics via chemical signals under control conditions. In the presence of acidified water, red soil or pesticide, the ability of larvae to chemically recognize conspecific cues was altered. Our study highlights that recruitment potential on coral reefs may decrease due to anthropogenic stressors. If so, populations of fishes and crustaceans will continue their rapid decline; larval recruitment will not replace and sustain the adult populations on degraded reefs.

International audience

International audience

This article describes a stochastic method to calculate the annual pollutant loads and its application over several years at the outlet of three catchments drained by separate storm sewers. A stochastic methodology using Monte Carlo simulations is proposed for assessing annual pollutant load, as well as the associated uncertainties, from a few event sampling campaigns and/or continuous turbidity measurements (representative of the total suspended solids concentration (TSS)). Indeed, in the latter case, the proposed method takes into account the correlation between pollutants and TSS. The developed method was applied to data acquired within the French research project BINOGEV^ (innovations for a sustainable management of urban water) at the outlet of three urban catchments drained by separate storm sewers. Ten or so event sampling campaigns for a large range of pollutants (46 pollutants and 2 conventional water quality parameters: TSS and total organic carbon (TOC)) are combined with hundreds of rainfall events for which, at least one among three continuously monitored parameters (rainfall intensity, flow rate, and turbidity) is available. Results obtained for the three catchments show that the annual pollutant loads can be estimated with uncertainties ranging from 10 to 60%, and the added value of turbidity monitoring for lowering the uncertainty is demonstrated. A low inter-annual and inter-site variability of pollutant loads, for many of studied pollutants, is observed with respect to the estimated uncertainties, and can be explained mainly by annual precipitation.