Impact of climate change on hydrology of upper reaches of Qiantang River Basin, East China

被引:99
|
作者
Xu, Yue-Ping [1 ]
Zhang, Xujie [1 ]
Ran, Qihua [1 ]
Tian, Ye [1 ]
机构
[1] Zhejiang Univ, Inst Hydrol & Water Resources, Zijinggang Campus,Yuhangtang Rd 388, Hangzhou 310058, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
SWAT; Climate change; Lanjiang River; Upgraded reliability ensemble averaging; WATER-RESOURCES MANAGEMENT; DAILY PRECIPITATION; AOGCM SIMULATIONS; UNCERTAINTY; ENSEMBLE; MODEL; RELIABILITY; TEMPERATURE; CHALLENGES; SCENARIOS;
D O I
10.1016/j.jhydrol.2013.01.004
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The hydrological cycle has been substantially influenced by climate change and human activities. It is therefore of utmost importance to analyze the impact of climate change on hydrology, particularly on a regional scale, in order to understand potential future changes of water resources and water-related disaster, and provide support for regional water management. However, during the evaluation of climate change impact on hydrology or water resources, large uncertainty exists. In this paper, the Soil Water Assessment Tool (SWAT) model is used to investigate the potential impact of climate change on hydrology of the upper reaches of Qiantang River Basin, East China, for the future period 2011-2100. The uncertainty is considered by employing upgraded reliability ensemble averaged GCM climate projections under three emission scenarios A1B, A2 and B1 for three different stages of the future period. These projections are downscaled and used in the hydrological model. Impact of climate change on precipitation, potential evapotranspiraton and river runoff is then investigated. The model calibration and validation outcomes show reasonable performance of the SWAT model. The final results suggest that annual river runoff will likely decrease almost under all emission scenarios and time stages of the future period. Particularly, at Jinhua Station, substantial decrease of annual river runoff can be noticed, indicating less water resource possibly available for the region in future. Simulated monthly patterns show that the largest decrease will likely occur in winter while increases will occur in summer, implying possible more water-related disasters in this region. However, it is also noticed that the change signs/amount could be different under different emission scenarios and time stages, indicating large uncertainty involved in the impact analysis. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:51 / 60
页数:10
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