Signals of pollution revealed by trace elements in recent snow from mountain glaciers at the Qinghai–Tibetan plateau

Li, Yuefang; Li, Zhen; Cozzi, Giulio; Turetta, Clara; Barbante, Carlo; Huang, Ju; Xiong, Longfei

doi:10.1016/j.chemosphere.2018.01.039

Cited by 26 publications

(9 citation statements)

References 41 publications

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“…1 ). CO is originated from incomplete combustion of fossil fuel, which is usually accompanied by emission of elements present in fossil fuel 60 , 61 .…”

Section: Discussionmentioning

confidence: 99%

Contaminant emissions as indicators of chemical elements in the snow along a latitudinal gradient in southern Andes

Pìzarro

Vergara

Cerda

et al. 2021

Sci Rep

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The chemical composition of snow provides insights on atmospheric transport of anthropogenic contaminants at different spatial scales. In this study, we assess how human activities influence the concentration of elements in the Andean mountain snow along a latitudinal transect throughout Chile. The concentration of seven elements (Al, Cu, Fe, Li, Mg, Mn and Zn) was associated to gaseous and particulate contaminants emitted at different spatial scales. Our results indicate carbon monoxide (CO) averaged at 20 km and nitrogen oxide (NOx) at 40 km as the main indicators of the chemical elements analyzed. CO was found to be a significant predictor of most element concentrations while concentrations of Cu, Mn, Mg and Zn were positively associated to emissions of NOx. Emission of 2.5 μm and 10 μm particulate matter averaged at different spatial scales was positively associated to concentration of Li. Finally, the concentration of Zn was positively associated to volatile organic compounds (VOC) averaged at 40 km around sampling sites. The association between air contaminants and chemical composition of snow suggests that regions with intensive anthropogenic pollution face reduced quality of freshwater originated from glacier and snow melting.

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“…1 ). CO is originated from incomplete combustion of fossil fuel, which is usually accompanied by emission of elements present in fossil fuel 60 , 61 .…”

Section: Discussionmentioning

confidence: 99%

Contaminant emissions as indicators of chemical elements in the snow along a latitudinal gradient in southern Andes

Pìzarro

Vergara

Cerda

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…1). CO is originated from incomplete combustion of fossil fuel, which is usually accompanied by emission of elements present in fossil fuel 49 .…”

Section: Discussionmentioning

confidence: 99%

Contaminant Emissions As Indicators of Chemical Elements in The Snow Along a Latitudinal Gradient in Southern Andes

Pìzarro

Vergara

Cerda

et al. 2020

Preprint

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The chemical composition of snow provides insights on atmospheric transport of anthropogenic contaminants at different spatial scales. In this study, we assess how human activities influence the concentration of elements in the Andean mountain snow along a latitudinal transect throughout Chile. The concentration of seven elements (Al, Cu, Fe, Li, Mg, Mn and Zn) was associated to gaseous and particulate contaminants emitted at different spatial scales. Our results indicate carbon monoxide (CO) averaged at 20 km and nitrogen oxide (NOx) at 40 km as the main indicators of the chemical elements analyzed. CO was found to be a significant predictor of most element concentrations while concentrations of Cu, Mn, Mg and Zn were positively associated to emissions of NOx. Emission of 2.5 mm and 10 mm particulate matter averaged at different spatial scales was positively associated to concentration of Li. Finally, the concentration of Zn was positively associated to volatile organic compounds (VOC) averaged at 40 km around sampling sites. The association between air contaminants and chemical composition of snow suggests that regions with intensive anthropogenic pollution face reduced quality of freshwater originated from glacier and snow melting.

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“…Про актуальність вивчення зазначеної проблематики свідчить низка публікацій як в Укра їні [Grodzinsky et al 1973;Barbarych 1977; Grodzynska 2016 та ін. ], так і за кордоном [Li et al 2014;Li et al 2018;Hazrat et al 2019 та ін.]. Дослідження з визначення мікроелементів у грунтах та рослинності набули особливого значення, починаючи з 1980 років [Ilin 1985;KabataPendias et al 1989].…”

Section: аналіз дослідженьunclassified

Using the bioindication method for determining air pollution by heavy metals

Kryuchenko¹,

Zhovinsky²,

Paparyga³

2022

GEO&BIO

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The results of studies of chemical pollution (Pb, Zn) of perennial grasses—Elymus repens L., Artemisia absinthium L., and Hypericum perforatum L.—on background plots and within the areas of impact of industrial enterprises in Kropyvnytskyi (Ukraine) are presented. It is noted that chemical pollution is the most dangerous. The activity of enterprises is considered, in the result of which heavy metals enter the air. Testing of plants (stems and leaves) was carried out at a distance of 10–100 m from the enterprises. The content of heavy metals in the aboveground part of plants was analysed by atomic absorption spectrophotometer in the laboratory of the Department of Exploratory and Ecological Geochemistry, IGMR NAS of Ukraine. The comparison of sorption properties of different plants in the same phases of development allowed plants with bioindication capabilities to be identified. The results of the analysis showed that plants most effectively accumulate the maximum amount of heavy metals from the atmospheric air at the end of the summer dormancy phase (second half of August). At this time the plant requires the minimum amount of nutrients that it takes from the soil. Stems and leaves of perennial grasses actively accumulate aerosols and fine dust on their surface due to plant secretions with the formation of a mucous film that actively adsorbs heavy metal ions. The background, minimum, and maximum content of heavy metals in plants is determined. Comparing the content of heavy metals in plant samples in the background and study plots, it was found that E. repens near industrial enterprises is the most effective bioindicator of air pollution. In order to determine the level of atmospheric air pollution using bioindication methods, the index of plant contamination (Sр) was proposed, which is the ratio of concentration coefficient of heavy metals and their amount. An assessment scale for atmospheric air pollution with heavy metals has been developed based on the contamination index (Sр) of bioindicator plants: the degree of pollution is 1–3—weak, 3–6—medium, 6–9—strong, more than 9—very strong. The proposed coefficients allow for conducting a situational assessment of atmospheric air pollution with heavy metals using bioindication methods.

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Signals of pollution revealed by trace elements in recent snow from mountain glaciers at the Qinghai–Tibetan plateau

Cited by 26 publications

References 41 publications

Contaminant emissions as indicators of chemical elements in the snow along a latitudinal gradient in southern Andes

Contaminant emissions as indicators of chemical elements in the snow along a latitudinal gradient in southern Andes

Contaminant Emissions As Indicators of Chemical Elements in The Snow Along a Latitudinal Gradient in Southern Andes

Using the bioindication method for determining air pollution by heavy metals

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