Freedom Space for Rivers: A Sustainable Management Approach to Enhance River Resilience-Reference-Cited by-同舟云学术

Freedom Space for Rivers: A Sustainable Management Approach to Enhance River Resilience

Published:2014-09-07 Issue:5 Volume:54 Page:1056-1073
ISSN:0364-152X
Container-title:Environmental Management
language:en
Short-container-title:Environmental Management

Author:

Biron Pascale M.,Buffin-Bélanger Thomas,Larocque Marie,Choné Guénolé,Cloutier Claude-André,Ouellet Marie-Audray,Demers Sylvio,Olsen Taylor,Desjarlais Claude,Eyquem Joanna

Publisher

Springer Science and Business Media LLC

Subject

Pollution,Ecology,Global and Planetary Change

Link

http://link.springer.com/content/pdf/10.1007/s00267-014-0366-z.pdf

Reference59 articles.

1. Arnaud-Fassetta G, Astrade L, Bardou E, Corbonnois J, Delahaye D, Fort M, Gautier E, Jacob N, Peiry JL, Piégay H, Penven MJ (2009) Fluvial geomorphology and flood-risk management. Géomorphologie 2:109–128

2. Baker VR (1976) Hydrogeomorphic methods for the regional evaluation of flood hazards. Environ Geol 1(5):261–281

3. Baker VR (1994) Geomorphological understanding of floods. Geomorphology 10:39–156

4. Ballais JL, Garry G, Masson M (2005) Contribution de l’hydrogéomorphologie à l’évaluation du risque d’inondation: le cas du Midi méditerranéen français. Géoscience 337:1120–1130

5. Baptist MJ, Penning WE, Duel H, Smits AJM, Geerling GW, van der Lee GEM, van Alphen JSL (2004) Assessment of the effects of cyclic floodplain rejuvenation on flood levels and biodiversity along the Rhine river. River Res Appl 20(3):285–297

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