A deterministic hydrological approach to estimate climate change impact on river flow: Vu Gia-Thu Bon catchment, Vietnam

被引:24
|
作者
Ngoc Duong Yo [1 ,2 ]
Gourbesville, Philippe [1 ]
Minh Tue Vu [3 ]
Raghavan, Srivatsan V. [3 ]
Liong, Shie-Yui [3 ]
机构
[1] Univ Nice Sophia Antipolis, Polytech Nice Sophia, Innovat City Lab, URE 005, F-06189 Nice, France
[2] Univ Da Nang, Univ Sci & Technol, Fac Water Resource Engn, Danang, Vietnam
[3] Natl Univ Singapore, Trop Marine Sci Inst, Singapore 119227, Singapore
关键词
Climate change assessment; Dynamical downscaling; Deterministic distributed hydrological modeling; Large catchment; Long-term simulations; FUTURE STREAM-FLOW; MIKE SHE MODEL; UNCERTAINTY; RUNOFF; BASIN; CALIBRATION; VALIDATION; PERFORMANCE; PARAMETERS; RAINFALL;
D O I
10.1016/j.jher.2015.11.001
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Climate change is one of the most serious challenges facing mankind in the 21st century. Extreme climatic events are expected to be more frequent and severe leading to various natural disasters. Vietnam, with more than 70% of the population working in agriculture and having a high density of inhabitants on the coastal plains, is one among those countries heavily impacted by climate change. The aim of this paper is to present a methodology to assess the impacts of climate change on a flood prone area of a coastal river basin in the central region of Vietnam. The hydrological simulations are based on a validated deterministic hydrological model MIKE SHE, which integrates geology, soil, topography, river systems and climate variables. The present-day climate, over the period of 1991-2010, was reasonably simulated by the hydrological model. Future climate (2091-2100) information was obtained from a dynamical downscaling of the global climate models, CCSM3.0, MIROC-medres and ECHAM5 under A2 scenario, using the Regional Climate Model: Weather Research and Forecasting Model. The result indicates that with this area, the ensemble future river flow under scenario A2 might increase up to 200% during rainy season and reduce to roughly 7-30% during dry season. The study also analyzed the changes in the flood dynamics of the study region, the hydrological shift and the uncertainties of climate change simulation. This paper showcases an operational approach to integrate the results from the impacts of climate change to flood protection measures that would help in devising resilience strategies. (C) 2016 Published by Elsevier B.V. on behalf of International Association for Hydro-environment Engineering and Research, Asia Pacific Division.
引用
收藏
页码:59 / 74
页数:16
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