Uncertainty in climate change impacts on low flows

被引:0
|
作者
Booij, Martijn J. [1 ]
Huisjes, Martijn [1 ]
Hoekstra, Arjen Y. [1 ]
机构
[1] Univ Twente, Fac Engn Technol, Water Eng & Mnagement, POB 217, NL-7500 AE Enschede, Netherlands
关键词
climate change; discharge deficit; fuzzy objective function; HBV model; low flows; Meuse basin; Monte Carlo analysis; Regional Climate Model; uncertainty;
D O I
暂无
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
It is crucial for low flow management that information about the impacts of climate change on low flows and the uncertainties therein becomes available. This has been achieved by using information from different Regional Climate Models for different emission scenarios to assess the uncertainty in climate change for the River Meuse in Northwestern Europe. A hydrological model has been used to simulate low flows for current and changed climate conditions. The uncertainty in the hydrological model is represented by the uncertainty in its parameters. Climate change results in an increase of the average annual discharge deficit (a low flow measure) of about 2.6 10(8) m(3) or 35%. This impact is considerable, resulting in an increase of water shortages in the Meuse basin during low flow periods. The uncertainty in this impact is about 10% as a result of uncertainties in climate change and HBV parameters, and does not disguise the climate change signal.
引用
收藏
页码:401 / +
页数:2
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