Comparative study of model prediction of diffuse nutrient losses in response to changes in agricultural practices
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F09%3A00326247" target="_blank" >RIV/60077344:_____/09:00326247 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparative study of model prediction of diffuse nutrient losses in response to changes in agricultural practices
Original language description
This article presents a comparative study of seven catchment models that simulated changes in nutrient losses from two European catchments caused by modifications in agricultural practices. The modelling results revealed a variation in predicted effectsof the management scenarios, causing different conclusions with respect to choice of best management practice for reducing nutrient losses. The study demonstrated that it is important that care should be taken by modellers and involved decision makers throughout the entire modelling process, both with regard to a common understanding of the problem definition and understanding of boundary conditions, and uncertainty of outputs and interpretation of results.
Czech name
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Czech description
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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
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Result continuities
Project
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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
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Volume of the periodical
11
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
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UT code for WoS article
000264098400013
EID of the result in the Scopus database
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