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Ocena możliwości zastosowania modelu AGNPS do szacowania ładunków azotu i fosforu wymywanych ze zlewni rolniczych

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Warianty tytułu
EN
Preliminary assessment of the AGNPS model applicability for estimation of nitrogen and phosphorus loads from agriculture catchments
Języki publikacji
PL
Abstrakty
EN
The aim of the paper is to assess the possibility of AGNPS model application to simulate pollutants loads leaching from the catchment. The evaluation was based on the Mala Welna River catchment down to Owieczki cross-section with an area of 36.9 km2. About 80% of the land within the catchment is under agricultural activities. AGNPS model (Agricultural Non-Point Source Pollution Model) was developed by ARS-USDA (Agricultural Research Service - United State Department of Agriculture). AGNPS is an event-based model that simulates surface runoff, sediment, nitrogen and phosphorus transport from agricultural watersheds. (MW)AGNPS is integrated with MapWindow, an Open Source GIS which runs under the Windows operating system. The materials used in these study were topographic maps on a scale of 1:10 000, digital elevation model (DEM - TIN) at the scale 1:10000, and soil maps on a scale 1:25 000. The AGNPS model was calibrated and validated for the study area on the basis of daily measurements of precipitation at the Kiszkowio and concentrations of nitrate and phosphate in the Mala Welna River at Owieczki corss-section. Preliminary calibration and verification of AGNPS model showed that the model cannot currently be used to estimate the nitrogen and phosphorus loads leaching from the catchment. The final model calibration and verification can be carried out on the basis of continuous measurements of precipitation, discharges and concentrations of nitrogen and phosphorus in river. The main reason of uncertainties in estimating the loads of nitrogen and phosphorus leaching from the catchment is the lack of detailed data on fertilizer rates and terms of use them. Other parameters that require analysis were uncontrolled point sources of pollutants and trough flow lakes that affect the transport.
Słowa kluczowe
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Tom
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856--865
Opis fizyczny
Bibliogr. 10 poz., rys.
Twórcy
autor
  • Uniwersytet Przyrodniczy , Poznań
Bibliografia
  • 1. Babel M.S., Najim M.M.M., Loof R.: Assessment of agricultural nonpoint source model for a watershed in tropical environment. Journal of Environmental Engineering, Vol. 130, No. 9, 1032–1041 (2004).
  • 2. Di Luzio M., Lenzi M.A.: The importance of proper inputs for applicability of the AGNPS model integrated with geographic information system at watershed scale. Proc. Int. Symp. An Water Quality Modeling, ASAE, Orlando. 1995.
  • 3. Fisher P., Abrahart R.J., Herbinger W.: The sensitivity of two distributed non-point source pollution models to the spatial arrangement of the landscape. Hydrolog. Process. 11(3), 241–252 (1997).
  • 4. Grunwald S., Frede H.G.: Application of modified AGNPS in German watersheds. Application of physically based soil erosion models, ed. Schmidt, J. New York, Berlin, Springer, 43–58 (2000).
  • 5. He C.: Integration of geographic information systems and simulation model for watershed management. Environmental Modelling & Software 18, 809–813 (2003).
  • 6. Kondracki J.: Geografia regionalna Polski. Wyd. Nauk. PWN, Warszawa. 2002.
  • 7. Mankin K.R., Bhuyan S.J., Koelliker J.K.: Effects of cell size an AGNPS inputs and predictions. Jauranal of Environmental Hydrology, Vol. 12, pap. 22, 1–12 (2004).
  • 8. Sojka M., Murat-Błażejewska S., Kanclerz J.: Wymywanie związków azotu i fosforu ze zlewni rolniczej w zróżnicowanych okresach hydrometeorologicznych. Zesz. Probl. Post. Nauk Rol. z. 526, 443–450 (2008).
  • 9. Sojka M.: Ocena ładunków związków biogennych wymywanych ze zlewni cieku Dębina. Rocznik Ochrona Środowiska, Tom 11, 1225–1234 (2009).
  • 10. Young R.A., Onstad C.A., Bosch D.D., Anderson W.P.: Agricultural non-point source pollution model. AGNPS, User’s Guide, Minnesota Pollution Agency. 1994.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7a866eff-b25d-475f-8b78-739fe0fb0e1e
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