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CR 62:79-97 (2015)  -  DOI:

Projecting streamflow in the Tangwang River basin (China) using a rainfall generator and two hydrological models

Wenbin Liu1,*, Aijing Zhang2, Lei Wang1, Guobin Fu3, Deliang Chen4, Changming Liu5, Tijiu Cai6

1Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, PR China
2Center for Water Research, College of Engineering, Peking University, Beijing 100871, PR China
3CSIRO Land and Water, Private Bag 5, Wembley, Western Australia 6913, Australia
4Department of Earth Sciences, University of Gothenburg, Gothenburg 40530, Sweden
5Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100029, PR China
6School of Forestry, Northeast Forestry University, Harbin 150040, PR China
*Corresponding author:

ABSTRACT: 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 unchanged 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.

KEY WORDS: Multisite stochastic rainfall generator · Statistical downscaling · CMIP5 · Soil and Water Assessment Tool · SWAT · Hydro-Informatic Modeling System · HIMS · Climate change · Tangwang River

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Cite this article as: Liu W, Zhang A, Wang L, Fu G, Chen D, Liu C, Cai T (2015) Projecting streamflow in the Tangwang River basin (China) using a rainfall generator and two hydrological models. Clim Res 62:79-97.

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