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Content of nitrogen compounds in waters flowing out of small agricultural catchments

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Research on the content of nitrogen compounds in waters flowing out of small (A=4.4-36.6 km²) agricultural catchments in Lower Silesia has shown their high content of nitrate nitrogen, ranging from 1.69 to 9.43 mg N-NO₃⁻, while maximum concentrations often exceeded 11.3 mg N-NO₃⁻ (50 mg of NO₃⁻・dm₃⁻), and thus these waters should be considered highly polluted. Total nitrogen content was directly linked to that of nitrate nitrogen and varied, on average, from 3.21 to 16.85 mg of N・dm₃⁻. As the pressure is of a local nature, the assessment of the real influence of agricultural areas on the content of nitrates in surface waters requires monitoring of small water-courses that directly collect water from these areas. Research shows a positive correlation between the share of agricultural land in the catchment and the concentration of nitrates flowing out of it. The lack of a strong correlation might be caused by two different reasons. These catchments have a relatively similar share of agricultural land, but first of all, the intensity of agriculture is relatively low. The use of statistical analysis of the data collected in the process of water quality monitoring is significantly limited by the discrepancy between the distribution in the analyzed data collection and normal distribution. Conducted analysis has shown that the concentration of C90% is significantly dependent (r=0.8910 and p<0.01) on the maximum concentration (Cmax), whereas the correlation coefficient for relationship Cmax-10%=f(Cmax) r=0.6392 and p>0.01. The analysis of the relationship between characteristic concentrations (C90%, Cmax-10%) and the average concentration (Cs) has shown an inverse proportion. The results of the analysis clearly show that the concentration of C90% has a stronger correlation with the maximum concentration Cmax, whereas the concentration Cmax-10% correlates more strongly with the average concentration Cs. The concentration marked here as Cmax-10% (similarly to the 90th percentile) can constitute a good statistical measure for the general assessment (classification) of waters. The concentration C90% is a more restrictive measure, as its value also takes into account the extreme values that are not taken into account during the application of other statistical measures, and it can be used for classifications requiring high guarantee.
Słowa kluczowe
Wydawca
-
Rocznik
Tom
20
Numer
4
Opis fizyczny
p.895-902,fig.,ref.
Twórcy
autor
  • Institute of Environmental Engineering, Wrocław University of Environmental and Life Sciences, Pl. Grunwaldzki 24, 50-363 Wrocław, Poland
  • Institute of Environmental Engineering, Wrocław University of Environmental and Life Sciences, Pl. Grunwaldzki 24, 50-363 Wrocław, Poland
Bibliografia
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  • 2. JUDOVA P., JANSKY B. Water quality in rural areas of the Czech Republic: Key study Slapanka River catchment. Limnologica 35, 160, 2005.
  • 3. LEPISTO A., GRANLUND K., KORTELAINEN P., RAIKE A. Nitrogen in river basins: Sources, retention in the surface waters and peatlands, and fluxes to estuaries in Finland. Science of total Environment 365, 238, 2006.
  • 4. EKHOLM P., KALLIO K., SALO S., PIETILAINEN O.P., REKOLAINEN S., LAINE Y., JOUKOLA M. Relationship between catchment characteristic and nutrient concentrations in an agricultural river system. Water Research. 34, (15), 3709, 2000.
  • 5. LASSALETTA L., GARCIA-GOMEZ H., GIMENO B.S., ROVIRA J.V. Agriculture-induced increase in nitrate concentrations in stream waters of large Mediterranean catchment over 25 years (1981-2005). Science of the Total Environment 407, 6034, 2009.
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  • 7. KOC J. SOLARSKI K, ROCHWERGER A. Effect of land reclamation system on the volume and seasonality of nitrate runoff from croplands. Journal of Elementology: 12, (2), 121, 2007.
  • 8. PULIKOWSKI K. Diffuse pollutions in small rural catchments areas. Zesz. Nauk. AR we Wrocławiu, ser. Rozprawy CCXI, 479, 137, 2004 [In Polish].
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  • 10. AMIRI B.J. NAKANE K. Comparative prediction of stream water total nitrogen from land cover using artificial neural network and multiple linear regression approaches, Polish Journal of Environmental Studies, 18, (2), 151, 2009.
  • 11. BREVE M.A., SKAGGS R.W., PARSONS J. E., GILLIAM J.W. Using the DRAINMOD-N model to study effects of drainage system design and management on crop productivity, profitability and NO3-N losses in drainage water. Agricultural Water Management 35, 227, 1998.
  • 12. ROGORA M., MOSELLO R. Climate as a confounding factor in the response of surface water to nitrogen deposition in an area south of the Alps. Applied Geochemistry 22, 1122, 2007.
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  • 14. NAMIEŚNIK J., ŁUKASIAK J., JAMROGIEWICZ Z. Collection of environmental samples for analysis. Wydawnictwo Naukowe PWN Warszawa: 277, 1995 [In Polish].
  • 15. CORDOBA E. B., MARTINEZ A. C., FERRER E. V. Water quality indicators: Comparison of a probabilistic index and a general quality index. The case of the Confederacion Hidrografica del Jucar (Spain). Ecological Indicators, 10, (5) 1049, 2010.
  • 16. GUS – www.stat.gov.pl
  • 17. Statistica - http://www.statsoft.pl/
  • 18. HUS S.: The link between the concentration of water pollution and the flow volume in small mountain streams. Roczn. AR w Poznaniu CCLXVIII, Melior. i Inż. Środ. 15 cz. I, Poznań: 93-100, 1994 [In Polish].
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.agro-9e806232-ada4-4708-8133-eab6f99e5edc
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