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  • Title:  Coupling climate change with hydrological dynamic in Qinling Mountains, China
  • Authors: 
  • Corresponding Author:  He HM*, Zhang QF, Zhou J, et al
  • Pubyear:  2009
  • Title of Journal:  Climatic Change
  • Paper Code: 
  • Volume:  94
  • Number:  44989
  • Page:  409-427
  • Others: 
  • Classification: 
  • Source: 

    Abstract:

  • This study intends to disclose orographic effects on climate and climatic impacts on hydrological regimes in Qinling Mountains under global change background. We integrate a meteorological model (MM5 model, PSU/NCAR, 2005) and a hydrological model (SWAT model, 2005) to couple hydrological dynamic with climate change in Qinling Mountains. Models are calibrated and validated based on the simulation of different combined schemes. Following findings were achieved. Firstly, Qinling Mountains dominantly influence climate, and hydrological process in Weihe River and upper Hanjiang River. Results show that Qinling Mountains lead to a strong north-south gradient precipitation distribution over Qinling Mountains due to orographic effects, and it reduces precipitation from 10-25 mm (December) to 55-80 mm (August) in Weihe River basin, and adds 25-50 mm (December) or 65-112 mm (August) in upper Hanjiang River basin; evapotranspiration (ET) decrease of 21% in Weihe River (August) and increase 10.5% in upper Hanjiang River (July). The Qinling Mountains reduce water yields of 23.5% in Weihe River, and decrease of 11.3% in upper Hanjiang River. Secondly, climate change is responsible for the changes of coupling effects of rainfall, land use and cover, river flow and water resources. It shows that average temperature significantly increased, and precipitation substantially reduced which leads to hydrological process changed greatly from 1950 to 2005: temperature increased and precipitation decreased, climate became drier in the past two decades (1980-2005), high levels of precipitation exists in mid-1950, mid-1970, while other studied periods are in low level states. The inter-annual variation in water yield correlates with surface runoff with an R (2) value of 0.63 (Weihe River) and 0.87 (upper Hanjiang River). It shows that variation of annual precipitation was smaller than that of seasonal precipitation.
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