Investigation and Evaluation of Surface Water Pollution With Heavy Metals and Oil Products in Kairiai Military Ground Territory

Idzelis, Raimondas Leopoldas; Greičiūtė, Kristina; Paliulis, Dainius

doi:10.3846/16486897.2006.9636896

Cited by 18 publications

(8 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Soil of most regions of the country is less weathered and contains higher contents of most chemical elements than soil of Ašmena-Medininkai Heights (Kadūnas et al 1999). Research was done also on military grounds (Vasarevičius, Greičiūtė 2004;Idzelis et al 2006), landfills (Jaskelevičius, Lynikienė 2009) or near highways (Butkus, Šalčiūnienė 2011 Stream sediments are not only influenced by surface run-off, but also by groundwater discharge (Lachmar et al 2006). Volcanoes (Ernst 2012;Ayris, Delmelle 2012;Calvo et al 2013) and forest fires (Pereira, Ubeda 2010) are the main natural sources of air pollution.…”

Section: Introductionmentioning

confidence: 99%

Quaternary Interglacial Sediments as Possible Natural Sources of Arsenic and Molybdenum Anomalies in Stream Sediments in Lithuania

Zinkutė

Baltrūnas

Taraškevičius

et al. 2014

Journal of Environmental Engineering and Landscape Management

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Quaternary Interglacial Sediments as Possible Natural Sources of Arsenic and Molybdenum Anomalies in Stream Sediments in Lithuania

Zinkutė

Baltrūnas

Taraškevičius

et al. 2014

Journal of Environmental Engineering and Landscape Management

View full text Add to dashboard Cite

show abstract

“…Lithuanian rivers receive a huge pollution load from industry and other production enterprises as well as from agriculture and cities. Various pollutants are found in rivers, they enter from numerous pollution sources by different ways and thus surface waters and groundwater's are polluted [6].…”

Section: Introductionmentioning

confidence: 99%

Analysis of annual and seasonal total nitrogen pollution in the Mūša catchment

Stankevičienė¹

2014

The 9th International Conference "Environmental Engineering 2014"

View full text Add to dashboard Cite

The quality of water in rivers depends on many hydrological and anthropogenic factors. The Mūša catchment belonging to the northern part of Lithuania was taken for water quality investigation. In this catchment 63% of the territory is under arable land. A conceptual FYRIS model was chosen to identify the impact of the sources of pollution with total nitrogen (N) in the Mūša river. The modelling encompasses 1997-2011 period. Having preformed calibration the model efficiency coefficient was E = 0.46, which was fairly good and correlation coefficient was r = 0.69. Having analysed total nitrogen load into the Mūša catchment from different pollution sources it was established that about 87% of it come from arable land, 10% enter from waste water treatment plants (WWTP), households and urban territories and only 3% of all nitrogen within the catchment come from wooded territories and pastures. The analysis of the results of simulation shows the seasonal amounts of scoured total nitrogen were different. Their highest amounts got to the rivers during the winter (January, February, December) season -36% of total nitrogen, when there is no vegetation processes. The highest loads 35-37% from the scattered pollution sources. In spring (March, April), in the period of snow melting, one third, i. e., 31% was scoured because of a higher runoff to the researched subcatchment. And in the summer (May, June, July, August) and autumn (September, October, November) seasons, respectively, 16 and 17% of all nitrogen falling to the subcatchment.

show abstract

“…Various pollutants are found in rivers. Th ey enter from numerous pollution sources by diff erent ways, therefore, surface waters and groundwater are polluted (Idzelis et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Mūša catchment pollution with total nitrogen

Ruminaitė¹,

Sileika²,

Lukianas³

2009

Ekologija

View full text Add to dashboard Cite

Th e quality of water in rivers depends on numerous hydrological and anthropogenic factors. Th e Mūša catchment, belonging to the Lielupė river basin district (RBD) in the northern part of Lithuania, was taken for water quality investigation. In this catchment, 63% of the territory is under arable land. Th e conceptual FYRIS model was chosen to identify the impact of the sources of pollution with total nitrogen (N) in the Mūša river. Th e modelling encompasses the 1997-2006 period. Aft er calibration, the model effi ciency coeffi cient was E = 0.46, i. e. fairly good, and the correlation coeffi cient was r = 0.69. While modelling the variation of nitrogen concentrations during the study period (1997-2006), the results did not correspond to the monitored concentrations equally well in all subcatchments. One of the main reasons for the disagreement between the model and monitoring data can be a vast dispersal of the monitoring data. Th e model represents the monitoring results in the Mūša, Daugyvenė and Tatula rivers quite well. Th ere is a strong linear correlation between the model and the monitoring results. Th e determination coeffi cient of the regression equation R 2 varies from 0.48 to 0.56. Analysis of the total nitrogen load to the Mūša catchment from diff erent pollution sources has shown that about 87% of it comes from arable land, 10% enters from waste water treatment plants (WWTP), households and urban territories, and only 3% of all nitrogen within the catchment comes from wooded territories and pastures.

show abstract

Investigation and Evaluation of Surface Water Pollution With Heavy Metals and Oil Products in Kairiai Military Ground Territory

Cited by 18 publications

References 4 publications

Quaternary Interglacial Sediments as Possible Natural Sources of Arsenic and Molybdenum Anomalies in Stream Sediments in Lithuania

Quaternary Interglacial Sediments as Possible Natural Sources of Arsenic and Molybdenum Anomalies in Stream Sediments in Lithuania

Analysis of annual and seasonal total nitrogen pollution in the Mūša catchment

Analysis of the Mūša catchment pollution with total nitrogen

Contact Info

Product

Resources

About