Impact of vegetation dynamics on hydrological processes in a semi-arid basin by using a land surface-hydrology coupled model

Jiao, Yang; Lei, Huimin; Yang, Dawen; Huang, Maoyi; Liu, Dengfeng; Yuan, Xing

doi:10.1016/j.jhydrol.2017.05.060

Title: Impact of vegetation dynamics on hydrological processes in a semi-arid basin by using a land surface-hydrology coupled model

Journal Article · Sat Jun 03 00:00:00 EDT 2017 · Journal of Hydrology

DOI:https://doi.org/10.1016/j.jhydrol.2017.05.060· OSTI ID:1390426

Jiao, Yang ^[1];

^[1]; Yang, Dawen ^[1];

^[2]; Liu, Dengfeng ^[3];

^[4]

Tsinghua Univ., Beijing (China)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Xi’an Univ. of Technology (China)
Chinese Academy of Sciences (CAS), Beijing (China)

Land surface models (LSMs) are widely used to understand the interactions between hydrological processes and vegetation dynamics, which is important for the attribution and prediction of regional hydrological variations. However, most LSMs have large uncertainties in their representations of ecohydrological processes due to deficiencies in hydrological parameterizations. In this study, the Community Land Model version 4 (CLM4) LSM was modified with an advanced runoff generation and flow routing scheme, resulting in a new land surface-hydrology coupled model, CLM-GBHM. Both models were implemented in the Wudinghe River Basin (WRB), which is a semi-arid basin located in the middle reaches of the Yellow River, China. Compared with CLM, CLM-GBHM increased the Nash Sutcliffe efficiency for daily river discharge simulation (1965–1969) from 0.03 to 0.23 and reduced the relative bias in water table depth simulations (2010–2012) from 32.4% to 13.4%. The CLM-GBHM simulations with static, remotely sensed and model-predicted vegetation conditions showed that the vegetation in the WRB began to recover in the 2000s due to the Grain for Green Program but had not reached the same level of vegetation cover as regions in natural eco-hydrological equilibrium. Compared with a simulation using remotely sensed vegetation cover, the simulation with a dynamic vegetation model that considers only climate-induced change showed a 10.3% increase in evapotranspiration, a 47.8% decrease in runoff, and a 62.7% and 71.3% deceleration in changing trend of the outlet river discharge before and after the year 2000, respectively. We conclude this result suggests that both natural and anthropogenic factors should be incorporated in dynamic vegetation models to better simulate the eco-hydrological cycle.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); National Natural Science Foundation of China (NSFC); National Key Research and Development Program of China

Grant/Contract Number:: AC05-76RL01830; 91225302; 2016YFC0402404; 2016YFC0402406; AC05-76RLO1830

OSTI ID:: 1390426

Alternate ID(s):: OSTI ID: 1550124

Report Number(s):: PNNL-SA-127005; KP1702030

Journal Information:: Journal of Hydrology, Vol. 551, Issue C; ISSN 0022-1694

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 57 works

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