Comparison of Three Tree‐ring Sampling Methods for Trace Metal Analysis

Lietuvninkas

Baltrėnas

2016

Environ Model Assess

Self Cite

Changing the concepts of economic development and introducing new amendments can hardly decrease the accumulation in the soil of such pollutants as metals, remaining there for a long time. The predictive models for describing the balance of metals in the soil, which are based on the 'atmosphere-plant-soil' system and reflect the complicated physical-chemical nature of the metals' migration, expressed by coefficients obtained in long-term observations in natural conditions, allow for evaluating long-term concentration of metals in the soil. The model BALANS evaluates selfpurification of soil, taking into account the uptake of metals of aerogenic origin by the soil together with amendments, their physical-chemical migration and the type of microrelief determining its intensity as well as the absorbed biomass of plants and the removal of metals with crops. In this model, the half-period of metals' washing out from the soil, found for the microrelief characteristic of low places, exceeds 200 years for Ni, Cr and Pb and makes 90 and 150 years for Zn and Cu, respectively.

Section: The Modelled Objectmentioning

confidence: 99%

Modelling the Balance of Metals in the Amended Soil for the Case of ‘Atmosphere–Plant–Soil’ System

Lietuvninkas

Baltrėnas

2016

Environ Model Assess

Self Cite

“…The concentration in solution was measured using flame atomic absorption spectrophotometry (FAAS) (210 VGP atomic absorption spectrophotometer Buck Scientific); when the concentration of metals such as Cd, Cu, Mn, and Pb was too low to be detected accurately by FAAS, a graphite furnace (GFAAS) was used (Baltrenaitė et al 2010;Butkus, Baltrenaitė 2007). The concentration in solution was measured using flame atomic absorption spectrophotometry (FAAS) (210 VGP atomic absorption spectrophotometer Buck Scientific); when the concentration of metals such as Cd, Cu, Mn, and Pb was too low to be detected accurately by FAAS, a graphite furnace (GFAAS) was used (Baltrenaitė et al 2010;Butkus, Baltrenaitė 2007).…”

Section: Chemical Analysis Of Urban Storm Water Runoffmentioning

confidence: 99%

Trace Metal Concentration and Speciation in Storm Water Runoff on Impervious Surfaces

Mancinelli

Journal of Environmental Engineering and Landscape Management

Baltrėnas

et al. 2015

Self Cite

2014): Trace metal concentration and speciation in storm water runoff on impervious surfaces, Journal of Environmental Engineering and Landscape Management,Abstract. Trinitrotoluene (TNT), a commonly used explosive for military and industrial applications, can cause serious environmental pollution. 28-day laboratory pot experiment was carried out applying bioaugmentation using laboratory selected bacterial strains as inoculum, biostimulation with molasses and cabbage leaf extract, and phytoremediation using rye and blue fenugreek to study the effect of these treatments on TNT removal and changes in soil microbial community responsible for contaminant degradation. Chemical analyses revealed significant decreases in TNT concentrations, including reduction of some of the TNT to its amino derivates during the 28-day tests. The combination of bioaugmentation-biostimulation approach coupled with rye cultivation had the most profound effect on TNT degradation. Although plants enhanced the total microbial community abundance, blue fenugreek cultivation did not significantly affect the TNT degradation rate. The results from molecular analyses suggested the survival and elevation of the introduced bacterial strains throughout the experiment. Reference to this paper should be made as follows: Nõ lvak, H.; Truu, J.; Limane, B.; Truu, M.; Cepurnieks, G.; Bartkevičs, V.; Juhanson, J.; Muter, O. 2013. Microbial community changes in TNT spiked soil bioremediation trial using biostimulation, phytoremediation and bioaugmentation, Journal of Environmental Engineering and Landscape Management 21(3): 153Á162. http://dx.abstract. urban storm water runoff (uSWR) often transports various trace metals, affecting the quality of receiving waters. Metal concentration and speciation in uSWR were investigated by analysing data collected during a storm event on 19 July 2012. uSWR samples were taken from a low-traffic intensity road, a pathway in a car-free pedestrian zone, and a galvanized metal roof located in the area of Vingio Park in the city of Vilnius, Lithuania. The metals were mostly in the insoluble form at all three sites, being more than 80% of the total amount measured, irrespective of the water quality characteristics and types of surface area. The partitioning coefficient (log Kd) of trace metals decreases in the order Zn > Cu ≈ Mn ≈ Pb >> Cd. The uSWR types characterized by a higher pH or dissolved organic carbon (DOC) concentration produced a higher fraction of Cd, Mn, Pb, and Zn bound to fulvic acids (FA).

“…The total concentrations of elements within the samples were determined by FAAS. A graphite furnace (GFAAS) was employed to determine the metal concentrations (Cu, Cd and Pb) when they were too low to detect accurately by FAAS [6,8,9].…”

Section: Chemical Analysis Of Snow-dustmentioning

confidence: 99%

Analysis of snow-cap pollution for air quality assessment in the vicinity of an oil refinery

Krastinytė

Environmental Technology

Lietuvninkas

2013

Self Cite

Snow-cap can be used as a simple and effective indicator of industrial air pollution. In this study snow-cap samples were collected from 11 sites located in the vicinity of an oil refinery in Mazeikiai, a region in the north-west of Lithuania, in the winter of 2011. Analysis of snowmelt water and snow-dust was used to determine anthropogenic pollutants such as: sulphates and chlorides, nitrites, nitrates, ammonium nitrogen, total carbon, total nitrogen; heavy metals: lead (Pb), copper (Cu), chromium (Cr), cadmium (Cd). Concentrations of heavy metals in snow-dust were detected thousands of times higher than those in the snowmelt water. In this study, analysis of heavy metal concentration was conducted considering different distances and the wind direction within the impact zone of the oil refinery. The sequence of heavy metals according to their mean concentrations in the snow-dust samples was the following: Pb > Cr > Cu > Cd. Heavy metals highly correlated among each other. The load of snow-dust was evaluated to determine the pollution level in the study area. The highest daily load of snow-dust was 45.81 +/- 12.35 mg/m2 in the north-western direction from the oil refinery. According to classification of the daily load of snow-dust a lower than medium-risk level of pollution was determined in the vicinity of the oil refinery.