Temporal variation of soil moisture over the Wuding River basin assessed with an eco-hydrological model, in-situ observations and remote sensing
Liu S. ; Mo X. ; Zhao W. ; Naeimi V. ; Dai D. ; Shu C. ; Mao L.
2009
关键词precipitation trends climate variability serial-correlation spatial variation runoff china simulations temperature evapotranspiration applicability
英文摘要The change pattern and trend of soil moisture (SM) in the Wuding River basin, Loess Plateau, China is explored based on the simulated long-term SM data from 1956 to 2004 using an eco-hydrological process-based model, Vegetation Interface Processes model, VIP. In-situ SM observations together with a remotely sensed SM dataset retrieved by the Vienna University of Technology are used to validate the model. In the VIP model, climate-eco-hydrological (CEH) variables such as precipitation, air temperature and runoff observations and also simulated evapotranspiration (E(T)), leaf area index (LAI), and vegetation production are used to analyze the soil moisture evolution mechanism. The results show that the model is able to capture seasonal SM variations. The seasonal pattern, multi-year variation, standard deviation and coefficient of variation (C(V)) of SM at the daily, monthly and annual scale are well explained by CEH variables. The annual and inter-annual variability of SM is the lowest compared with that of other CEH variables. The trend analysis shows that SM is in decreasing tendency at alpha=0.01 level of significance, confirming the Northern Drying phenomenon. This trend can be well explained by the decreasing tendency of precipitation (alpha=0.1) and increasing tendency of temperature (alpha=0.01). The decreasing tendency of runoff has higher significance level (alpha=0.001). Because of SM's decreasing tendency, soil evaporation (E(S)) is also decreasing (alpha=0.05). The tendency of net radiation (R(n)), evapotranspiration (E(T)), transpiration (E(C)), canopy intercept (E(I)) is not obvious. Net primary productivity (NPP), of which the significance level is lower than alpha=0.1, and gross primary productivity (GPP) at alpha=0.01 are in increasing tendency.
出处Hydrology and Earth System Sciences
13
7
1375-1398
收录类别SCI
语种英语
ISSN号1027-5606
内容类型SCI/SSCI论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/23441]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Liu S.,Mo X.,Zhao W.,et al. Temporal variation of soil moisture over the Wuding River basin assessed with an eco-hydrological model, in-situ observations and remote sensing. 2009.
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