Participatory river basin management in the São João River, Brazil: A basis for climate change adaptation?

2009 ◽  
Vol 1 (3) ◽  
pp. 261-268 ◽  
Author(s):  
LUIZ FIRMINO MARTINS PEREIRA ◽  
SAMUEL BARRETO ◽  
JAMIE PITTOCK
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Climate Change Adaptation ◽  
River Basin Management ◽  
Basin Management

Key concepts for the analysis of climate change impacts for river basin management in the River Danube

River Systems ◽  
2012 ◽  
Vol 20 (1) ◽  
pp. 7-21 ◽  
Author(s):  
Bastian Klein ◽  
Imke Lingemann ◽  
Enno Nilson ◽  
Peter Krahe ◽  
Thomas Maurer ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Climate Change Impacts ◽  
River Basin Management ◽  
Basin Management ◽  
Key Concepts ◽  
River Danube

Integrating climate change mitigation into river basin management planning for the Water Framework Directive – A Danish case

2016 ◽  
Vol 55 ◽  
pp. 141-150 ◽  
Author(s):  
Bjarke Stoltze Kaspersen ◽  
Torsten Vammen Jacobsen ◽  
Michael Brian Butts ◽  
Eva Boegh ◽  
Henrik Gioertz Müller ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Framework Directive ◽  
River Basin ◽  
Climate Change Mitigation ◽  
River Basin Management ◽  
Basin Management ◽  
Management Planning ◽  
Change Mitigation

scholarly journals Impact of climate change on flood inundation in a tropical river basin in Indonesia

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Kodai Yamamoto ◽  
Takahiro Sayama ◽  
Apip
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Bias Correction ◽  
River Basins ◽  
River Basin Management ◽  
Flood Inundation ◽  
Annual Maximum ◽  
Basin Management ◽  
Tropical River ◽  
Sumatra Island

AbstractClimate change will have a significant impact on the water cycle and will lead to severe environmental problems and disasters in humid tropical river basins. Examples include river basins in Sumatra Island, Indonesia, where the coastal lowland areas are mostly composed of peatland that is a wetland environment initially sustained by flooding from rivers. Climate change may alter the frequency and magnitude of flood inundation in these lowland areas, disturbing the peatland environment and its carbon dynamics and damaging agricultural plantations. Consequently, projecting the extent of inundation due to future flooding events is considered important for river basin management. Using dynamically downscaled climate data obtained by the Non-Hydrostatic Regional Climate Model (NHRCM), the Rainfall-Runoff-Inundation (RRI) model was applied to the Batanghari River Basin (42,960 km2) in Sumatra Island, Indonesia, to project the extent of flood inundation in the latter part of the twenty-first century. In order to obtain reasonable estimates of the extent of future flood inundation, this study compared two bias correction methods: a Quantile Mapping (QM) method and a combination of QM and Variance Scaling (VS) methods. The results showed that the bias correction obtained by the QM method improved the simulated flow duration curve (FDC) obtained from the RRI model, which facilitated comparison with the simulated FDC using reference rainfall data. However, the high spatial variability observed in daily and 15-day rainfall data remained as the spatial variation bias, and this could not be resolved by simple QM bias correction alone. Consequently, the simulated extreme variables, such as annual maximum flood inundation volume, were overestimated compared to the reference data. By introducing QM-VS bias correction, the cumulative density functions of annual maximum discharge and inundation volumes were improved. The findings also showed that flooding will increase in this region; for example, the flood inundation volume corresponding to a 20-year return period will increase by 3.3 times. River basin management measures, such as land use regulations for plantations and wetland conservation, should therefore consider increases in flood depth and area, the extents of which under a future climate scenario are presented in this study.

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