Polytech'Lab
Polytech Nice-Sophia - UNS-UCA

Polytech'Lab
Polytech Nice-Sophia, Polytech'Lab
Parc de Sophia Antipolis
930 Route des Colles
06410 Biot
France
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Thèse soutenue le 10 décembre 2015

Ngoc Duong Vo
Directeur Thèse I-CiTy Philippe Gourbesville - Philippe Audra
 Titre

Deterministic hydrological modelling for flood risk assessment and climate change in large catchment. Application to Vu Gia Thu Bon catchment, Vietnam

Résumé

Climate change due to the increase of greenhouse gas emissions is considered to be one of the major challenges to mankind in the 21st century. It will lead to changes in precipitation, atmospheric moisture, increase in evaporation and probably a higher frequency of extreme events. The consequences of these phenomena will have an influence on many aspects of human society. Particularly at river deltas, coastal regions and developing countries, the impacts of climate change to socio-economic development become more serious. So there is a need for a robust and accurate estimation of the variation of natural factors due to climate change, at least in the hydrological cycle and flooding events to provide a strong basis for mitigating the impacts of climate change and to adapt to these challenges.
Vietnam is located in the region of the south East Asia monsoon. As most of the population works in agriculture and inhabitants essentially concentrate at the coastal plain, Vietnam is expected to be one of the most heavily countries affected by the consequences of climate change in the end of 21st century. These challenges urge Vietnam to have suitable policies which help to improve public awareness, as well as capacity to respond to climate change. In order to provide complete insights for local authority to establish better adaptation strategies against the climate change, the PhD thesis focuses on simulating the long term variation of runoff factors for a river system in central Vietnam, the Vu Gia Thu Bon River.
The
first part of this study concentrates on constructing a hydrological model which becomes an efficient tool for assessing the variation of stream flow in the future. Due to its advantages, the fully deterministic distributed hydrological model, which is expected to overcome the difficulties in hydrological modelling at large catchment and the lack of data, is chosen for applying in Vu Gia Thu Bon catchment. The model is set up over Vu Gia Thu Bon catchment, approximately 10,350 km2. This model considers mostly the runoff factors, from surface flow to groundwater flow, from infiltration to evapo-transpiration. This model is calibrated and validated against daily data and monthly data in the period of 1991-2000 and 2001-2010, respectively. The second part is to evaluate the impact of climate factor changes on runoff at the end of he 21st century. For this purpose, 3 climate scenarios (CCSM3.0,MIROC-3.2,ECHAM5) for the period 2091-2100 were estimated from the present observations of the period 1991-2000 by using delta change factors obtained from downscaling process. These scenarios were input to the validated hydrological model for determining the runoff in the future. The change tendency is shown by the difference in the present and future peak flow, base flow and return period. In the third part, a hydraulic model has been developed for the flood prone area (1,780 km2) to map the inundation area corresponding with the previously described streamflow variations. Scale variability of inundation area under the impact of climate change was evaluated to demonstrate the severe consequences of global warming at Vu Gia Thu Bon catchment. Finally, flood and land use maps are analyzed to estimate damages caused by the streamflow increase.) To map the inundation area corresponding with the previously described streamflow variations, scale variability of inundation area under the impact of climate change was evaluated to demonstrate the severe consequences of global warming at Vu Gia Thu Bon catchment. Finally, flood and land use maps are analyzed to estimate damages caused by the streamflow increase.