Change in river basin morphology due to climate change led extreme flood event

Author(s):  
D.V. Singh ◽  
R.K. Vishnoi
Author(s):  
Gandome Mayeul Leger Davy Quenum ◽  
Joël Arnault ◽  
Nana Ama Klutse ◽  
Philip Oguntunde ◽  
Harald Kunstmann

Since 2000s, most of West-African countries and particularly Benin have experienced an increased frequency of extreme flood events. In this study we focus on the case of the Ouémé-river basin in Benin for the period 2008-2010. To investigate on how to early warn flood events in this basin, the coupled atmosphere-hydrology model system WRF-Hydro is selected. Such a coupled model allows to explore the contribution of atmospheric components into the flood event, and its ability to simulate and predict accurate streamflow. The potential of WRF-Hydro in correctly simulating streamflow in the Ouémé-river basin is assessed by forcing the model with operational analysis datasets from the ECMWF. Atmospheric and land surface processes are resolved at a spatial resolution of 5km. The additional surface and subsurface water flow routing is computed at a resolution 1:10. Key parameters of the hydrological module of WRF-Hydro are calibrated offline, and tested online with the coupled WRF-Hydro. The uncertainty of atmospheric modeling on coupled results is assessed with the stochastic kinetic-energy backscatter scheme (SKEBS). WRF-Hydro is able to simulate the discharge in Ouémé river on offline and fully-coupled modes with a Kling-Gupta Efficiency (KGE) around 0.70 and 076 respectively. In fully-coupled mode the model captures the flood event that occurred in 2010. A stochastic perturbation ensemble of 10 members for three rain seasons shows that the coupled model performance in terms of KGE is from 0.14 to 0.79. This ability in realistically reproducing observed discharge in the Ouémé-river basin demonstrates the potential of the coupled WRF-Hydro modeling system for future flood forecasting applications.


Author(s):  
Bernardo Mazzanti ◽  
Isabella Bonamini ◽  
Gaia Checcucci

The institutional activity of the Arno River Basin Authority is focused on two strategical planning processes: the River Basin Management Plan, according to 2000/60/CE European Direcitve, and the Flood Management Plan, according to 2007/60/CE European Directive. Both plans contain most of the contents of Arno River Basin Plan, developed after the italian law L. 183/89, and are tackling with a global approach the management of extreme flood events and water budget problems. In this context, the evaluation of climate change impact on the water cycle is extremely relevant. Therefore the Arno River Basin Authority is engaged to analyze the impact of climate changes on water status, regarding as main reference the IPCC AR4 report e their connected forecasting scenarios. The involvement in a LIFE+ project (WIZ – WaterIZe Spatial Planning) is the framework for a sample of preliminary evaluations, with the aim to include in the next updated edition of River Basin Management Plan new adapting measures (more than mitigation actions), in order to fight the negative impact of climate change on the possibility to achieve the Water Framework Directive’s quality objectives. Focusing the attention on the Lower Arno valley (Valdarno Inferiore) and taking into account as simplifying hypothesis a linear correlation between groundwater recharge and total rainfall fluctuations, the effects of actual and projected climate changes are evaluated. For each water abstraction area, the potential variation of available groundwater for antropic use (in cubic meter per year) is estimated, showing a decreasing trend ranging, with a high spatial variability, in a 5-10% interval. Due the increase of water demand and the distribution network losses, even such a percentage of decreasing potential recharge should be carefully evaluated; without water savings measures and investments on the renovation of distribution networks, an increase of the typical summer water scarcity crisis is high probable.


Author(s):  
Hitoshi UMINO ◽  
Maksym GUSYEV ◽  
Akira HASEGAWA ◽  
Yoji CHIDA
Keyword(s):  

2020 ◽  
Vol 186 ◽  
pp. 109544 ◽  
Author(s):  
Thundorn Okwala ◽  
Sangam Shrestha ◽  
Suwas Ghimire ◽  
S. Mohanasundaram ◽  
Avishek Datta

2020 ◽  
Vol 30 (1) ◽  
pp. 85-102 ◽  
Author(s):  
Qihui Chen ◽  
Hua Chen ◽  
Jun Zhang ◽  
Yukun Hou ◽  
Mingxi Shen ◽  
...  

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 483
Author(s):  
Ümit Yıldırım ◽  
Cüneyt Güler ◽  
Barış Önol ◽  
Michael Rode ◽  
Seifeddine Jomaa

This study investigates the impacts of climate change on the hydrological response of a Mediterranean mesoscale catchment using a hydrological model. The effect of climate change on the discharge of the Alata River Basin in Mersin province (Turkey) was assessed under the worst-case climate change scenario (i.e., RCP8.5), using the semi-distributed, process-based hydrological model Hydrological Predictions for the Environment (HYPE). First, the model was evaluated temporally and spatially and has been shown to reproduce the measured discharge consistently. Second, the discharge was predicted under climate projections in three distinct future periods (i.e., 2021–2040, 2046–2065 and 2081–2100, reflecting the beginning, middle and end of the century, respectively). Climate change projections showed that the annual mean temperature in the Alata River Basin rises for the beginning, middle and end of the century, with about 1.35, 2.13 and 4.11 °C, respectively. Besides, the highest discharge timing seems to occur one month earlier (February instead of March) compared to the baseline period (2000–2011) in the beginning and middle of the century. The results show a decrease in precipitation and an increase in temperature in all future projections, resulting in more snowmelt and higher discharge generation in the beginning and middle of the century scenarios. However, at the end of the century, the discharge significantly decreased due to increased evapotranspiration and reduced snow depth in the upstream area. The findings of this study can help develop efficient climate change adaptation options in the Levant’s coastal areas.


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