Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Reducing the Vulnerability of Societies to Water Related Risks at the Basin Scale |
| Seiten | 102-106 |
| Seitenumfang | 5 |
| Auflage | 317 |
| Publikationsstatus | Veröffentlicht - 2007 |
| Veranstaltung | Reducing the Vulnerability of Societies to Water Related Risks at the Basin Scale - 3rd International Symposium on Integrated Water Resources Management - Bochum, Deutschland Dauer: 26 Sept. 2006 → 28 Sept. 2006 |
Publikationsreihe
| Name | IAHS-AISH Publication |
|---|---|
| Nummer | 317 |
| ISSN (Print) | 0144-7815 |
Abstract
The aim of this study is to evaluate the possibility to predict nitrogen leaching from the "collective knowledge" available in the literature. Information about observed and modelled nitrogen leaching and influencing environmental and anthropogenic factors is collected from several published studies. Based on these data, fuzzy rules are defined, trained and validated for the prediction of mean annual nitrogen leaching. A multiple split sampling exercise shows good agreement between literature and simulated nitrogen loss encouraging the application of such a metamodel approach for decision support.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Allgemeine Erdkunde und Planetologie
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Reducing the Vulnerability of Societies to Water Related Risks at the Basin Scale. 317. Aufl. 2007. S. 102-106 (IAHS-AISH Publication; Nr. 317).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Modelling of nitrogen leaching based on collective intelligence
AU - Haberlandt, Uwe
AU - Sven Heijden, Van Der
PY - 2007
Y1 - 2007
N2 - The aim of this study is to evaluate the possibility to predict nitrogen leaching from the "collective knowledge" available in the literature. Information about observed and modelled nitrogen leaching and influencing environmental and anthropogenic factors is collected from several published studies. Based on these data, fuzzy rules are defined, trained and validated for the prediction of mean annual nitrogen leaching. A multiple split sampling exercise shows good agreement between literature and simulated nitrogen loss encouraging the application of such a metamodel approach for decision support.
AB - The aim of this study is to evaluate the possibility to predict nitrogen leaching from the "collective knowledge" available in the literature. Information about observed and modelled nitrogen leaching and influencing environmental and anthropogenic factors is collected from several published studies. Based on these data, fuzzy rules are defined, trained and validated for the prediction of mean annual nitrogen leaching. A multiple split sampling exercise shows good agreement between literature and simulated nitrogen loss encouraging the application of such a metamodel approach for decision support.
KW - Diffuse pollution
KW - Fuzzy rules
KW - Metamodel
KW - Nitrogen leaching
KW - Water quality
UR - http://www.scopus.com/inward/record.url?scp=55849124780&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:55849124780
SN - 9781901502299
T3 - IAHS-AISH Publication
SP - 102
EP - 106
BT - Reducing the Vulnerability of Societies to Water Related Risks at the Basin Scale
T2 - Reducing the Vulnerability of Societies to Water Related Risks at the Basin Scale - 3rd International Symposium on Integrated Water Resources Management
Y2 - 26 September 2006 through 28 September 2006
ER -