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  • 标题:Effect of Landscape Use on Water Quality of the Žitava River
  • 本地全文:下载
  • 作者:Viera Petlušová ; Viera Petlušová ; Peter Petluš
  • 期刊名称:Ekologia
  • 电子版ISSN:1337-947X
  • 出版年度:2019
  • 卷号:38
  • 期号:1
  • 页码:11-24
  • DOI:10.2478/eko-2019-0002
  • 出版社:Walter de Gruyter GmbH
  • 摘要:Intensification of landscape use brings along the negative effects on environmental components. These include surface water pollution. The aim was to determine the effect of landscape use on the water quality of the Žitava river. It was assumed that an area with the high proportion of anthropogenic activity would negatively affect water quality. At the same time, we assumed that an area with the lower proportion of anthropogenic use and with the higher proportion of natural and semi-natural elements contributes to self-cleaning ability of the watercourse. At the four observed sites, ammoniacal nitrogen (NH4-N), nitrate-nitrogen (NO3-N), phosphate-phosphorus (PO4-P) and water conductivity were monitored. Landscape use was analysed using the database of land cover based on the CORINE Land Cover methodology. Subsequently, it was observed how the landscape use affects the water quality. It was found that the very good state, represented by the Class I water quality, is according to the measured indicators mostly present in the areas predominantly covered by forests along with extensive use of elements of the agricultural land. The area with predominance of agricultural and urbanised sites where the anthropogenic influence prevails is characterised by average water quality. As the overall water quality of the Žitava river reaches the average, it is necessary to eliminate the pollution by constructing the sewer systems in the villages through which the watercourse is passing and, in agriculture, to ensure the adherence to the legislation concerning the protection of surface water against pollution from agricultural sources.
  • 关键词:land cover classes ; water quality indicator ; ammoniacal nitrogen ; nitrate-nitrogen ; phosphate ; watershed
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