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Ensemble modelling of nutrient loads and nutrient load partitioning in 17 European catchments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F09%3A00328065" target="_blank" >RIV/60077344:_____/09:00328065 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Ensemble modelling of nutrient loads and nutrient load partitioning in 17 European catchments

  • Original language description

    An ensemble of eight models for N and five models for P was applied in 17 European catchments to analyse the variation that appears after simulation of net nutrient loads and partitioning of nutrient sources at catchment scale. The catchment specific variation in the model results was lowest when simulating the net nutrient load and became increasingly higher for the simulation of the gross nutrient loss from agricultural land and highest for the simulation of the gross nutrient loss from other diffusesources. The average coefficient of variation for the model simulations of gross loss from agricultural land was nearly twice as high for P (67 %) than for N (40 %).

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DJ - Pollution and water control

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Environmental Monitoring

  • ISSN

    1464-0325

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    000264098400011

  • EID of the result in the Scopus database