Climate Change Data Portal
DOI | 10.3354/cr01261 |
Projecting streamflow in the Tangwang River basin (China) using a rainfall generator and two hydrological models | |
Liu, Wenbin; Zhang, Aijing; Wang, Lei; Fu, Guobin; Chen, Deliang![]() | |
通讯作者 | Liu, WB (通讯作者) |
发表日期 | 2015 |
ISSN | 0936-577X |
EISSN | 1616-1572 |
起始页码 | 79 |
结束页码 | 97 |
卷号 | 62期号:2 |
英文摘要 | To estimate the impacts of future climate change on streamflow in the Tangwang River basin (TRB) in northeastern China, 2 hydrological models, the Soil and Water Assessment Tool and the Hydro-Informatic Modeling System, were used. These models are driven by future (2021-2050) local rainfall and temperature scenarios downscaled from global climate model (GCM) simulations from the fifth phase of the Coupled Model Intercomparison Project under 2 emission scenarios (Representative Concentration Pathway [RCP] 4.5 and RCP8.5). The downscaling of rainfall is done with the help of a multisite stochastic rainfall generator (MSRG), which extends the 'Richardson type' rainfall generator to a multisite approach using a modified series-independent and spatial-correlated random numbers method by linking its 4 parameters to large-scale circulations using least-squares regressions. An independent validation of the MSRG shows that it successfully preserves the major daily rainfall characteristics for wet and dry seasons. Relative to the reference period (1971-2000), the annual and wet season (April to October) streamflow during the future period (2021-2050) would decrease overall, which indicates that water resources and the potential flood risk would decline in the TRB. The slightly increased dry season (November to March) streamflow would, to some extent, contribute to the 'spring drought' over this region. Although rainfall is projected to remain un changed in the wet season and the whole year, the increased total evapotranspiration due to the increase in temperature would lead to a decline in total streamflow for this basin. The projected streamflow changes from multiple GCMs in this paper could provide a glimpse into a very plausible future for the water resource management community, and would hence provide valuable references for the sustainable management of water and forest ecosystems under a changing climate. |
关键词 | CLIMATE-CHANGE IMPACTSSTATISTICAL DOWNSCALING MODELSDAILY PRECIPITATIONNORTHEAST CHINAVARIABILITYRUNOFFFREQUENCYINTENSITYTRENDSPLAIN |
英文关键词 | Multisite stochastic rainfall generator; Statistical downscaling; CMIP5; Soil and Water Assessment Tool; SWAT; Hydro-Informatic Modeling System; HIMS; Climate change; Tangwang River |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000349412000001 |
来源期刊 | CLIMATE RESEARCH
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来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/258581 |
推荐引用方式 GB/T 7714 | Liu, Wenbin,Zhang, Aijing,Wang, Lei,et al. Projecting streamflow in the Tangwang River basin (China) using a rainfall generator and two hydrological models[J]. 中国科学院青藏高原研究所,2015,62(2). |
APA | Liu, Wenbin.,Zhang, Aijing.,Wang, Lei.,Fu, Guobin.,Chen, Deliang.,...&Cai, Tijiu.(2015).Projecting streamflow in the Tangwang River basin (China) using a rainfall generator and two hydrological models.CLIMATE RESEARCH,62(2). |
MLA | Liu, Wenbin,et al."Projecting streamflow in the Tangwang River basin (China) using a rainfall generator and two hydrological models".CLIMATE RESEARCH 62.2(2015). |
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