- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-1650
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Climate Change Risk Management in Transnational River Basins: The Rhine ; volume:25 ; number:14 ; day:25 ; month:8 ; year:2011 ; pages:3837-3861 ; date:11.2011
Water resources management ; 25, Heft 14 (25.8.2011), 3837-3861, 11.2011
- Creator
-
Pelt, Saskia C. van
Swart, Rob J.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s11269-011-9891-1
- URN
-
urn:nbn:de:101:1-2023050609391802987221
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:51 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Pelt, Saskia C. van
- Swart, Rob J.
- SpringerLink (Online service)
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Impacts of climate change on the seasonality of low flows in 134 catchments in the River Rhine basin using an ensemble of bias-corrected regional climate simulations
Engineering impacts on river channels in the river Rhine catchment
The Rhine River Basin
The Rhine river
The Rhine: a transnational economic history
Hydrological modelling in the River Rhine basin, Pt. 3.. Daily HBV model for the Rhine basin / project leaders: Hendrik Buiteveld ... Project execution: Mailin Eberle
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River Basin Management
Climate change and climate-driven disturbances in the San Juan River sub-basin of the Colorado River
The "WFD-effect" on upstream-downstream relations in international river basins – insights from the Rhine and the Elbe basins
Climate and basin drivers of seasonal river water temperature dynamics
Climate-driven disturbances in the San Juan River sub-basin of the Colorado River
Impacts of climate change on the seasonality of low flows in 134 catchments in the River Rhine basin using an ensemble of bias-corrected regional climate simulations