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1.
Environ Res ; 191: 109938, 2020 12.
Article in English | MEDLINE | ID: mdl-32858479

ABSTRACT

We have evaluated the spread of SARS-CoV-2 through Latin America and the Caribbean (LAC) region by means of a correlation between climate and air pollution indicators, namely, average temperature, minimum temperature, maximum temperature, rainfall, average relative humidity, wind speed, and air pollution indicators PM10, PM2.5, and NO2 with the COVID-19 daily new cases and deaths. The study focuses in the following LAC cities: Mexico City (Mexico), Santo Domingo (Dominican Republic), San Juan (Puerto Rico), Bogotá (Colombia), Guayaquil (Ecuador), Manaus (Brazil), Lima (Perú), Santiago (Chile), São Paulo (Brazil) and Buenos Aires (Argentina). The results show that average temperature, minimum temperature, and air quality were significantly associated with the spread of COVID-19 in LAC. Additionally, humidity, wind speed and rainfall showed a significant relationship with daily cases, total cases and mortality for various cities. Income inequality and poverty levels were also considered as a variable for qualitative analysis. Our findings suggest that and income inequality and poverty levels in the cities analyzed were related to the spread of COVID-19 positive and negative, respectively. These results might help decision-makers to design future strategies to tackle the spread of COVID-19 in LAC and around the world.


Subject(s)
Air Pollution , Climate , Coronavirus Infections , Pandemics , Pneumonia, Viral , Poverty , Argentina/epidemiology , Betacoronavirus , Brazil , COVID-19 , Caribbean Region , Chile , Cities , Colombia , Dominican Republic , Ecuador , Humans , Income , Latin America , Mexico , Peru , SARS-CoV-2
2.
Environ Sci Process Impacts ; 22(7): 1491-1501, 2020 Jul 22.
Article in English | MEDLINE | ID: mdl-32530440

ABSTRACT

This study presents the first local measurements of metals in snow from the Argentine Central Andes. Cu, Pb and Zn were selected as specific tracers of anthropogenic local emission sources in the study area. Snow samples were collected during winter (2014, 2015 and 2016) at two sites with different characteristics: Punta de Vacas and Vallecitos. The samples were analyzed by ICP-MS, and the average concentrations found were 1.4 µg L-1 (Cu), 2.2 µg L-1 (Pb) and 14.2 µg L-1 (Zn) in the snow samples from Vallecitos, and 5.3 µg L-1 (Cu), 2.6 µg L-1 (Pb) and 24.0 µg L-1 (Zn) in the snow samples from Punta de Vacas. These data and the snowfall amount in each sampling site were statistically analyzed. Results suggested that the levels of metals in the snow are influenced not only by the atmospheric concentrations, but also by the amount of precipitated snow. Additionally, an atmospheric dispersion model, CALPUFF, was applied in the study area to determine the origin of the studied metals and to understand the spatial distribution pattern of the concentrations found. Results showed that the metal atmospheric loads in the study area originated from local sources, especially vehicular traffic and mining. This work represents an important contribution to the knowledge and preservation of the local Andean cryosphere, and it could be used as an input to develop protection policies in the area through the combination of different and complementary tools for the evaluation of air quality.


Subject(s)
Air Pollution , Metals, Heavy , Snow , Trace Elements , Air Movements , Environmental Monitoring , Metals , Models, Theoretical
3.
Data Brief ; 29: 105281, 2020 Apr.
Article in English | MEDLINE | ID: mdl-32123711

ABSTRACT

This data article provides an extensive and complete description of the high spatial resolution inventory (HSRI) estimation shown in the article "High resolution inventory of atmospheric emissions from livestock production, agriculture, and biomass burning sectors of Argentina" Puliafito et al. [1], and its comparison with several sectors in Argentina. The dataset provided are high-resolution inventories (0.025° × 0.025° lat/long) for CO2, CH4, N2O and another 8 species from livestock, biomass burning, agriculture and another 12 sectors (based on 2016 year). In addition, we also provide the database for 2014 using the same methodology. The dataset presented are necessary to improve input inventories for air quality models. Also, they are better to inform and guide the stakeholders, in making decisions related to environmental protection and health promotion, as well as assessing the environmental performance in terms of atmospheric emissions of an activity, sector or region in Argentina.

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