Study on probabilistic modeling of soil moisture dynamics and water balance of typical forest land in northern China
LI Jia1,4,5,PAN Xingyao1*, NIU Yong2,HE Jijun3
(1 Beijing Water Science and Technology Institute, Beijing 100048, China;2 Forestry College of Shandong Agricultural University, Tai′an 271018, Shandong, China;3 Resources Environment and GIS Key Laboratory of Beijing, Capital Normal University, Beijing 100048,China;4 College of Hydrology and Water Resources, Hohai University, Nanjing 210098, Jiangsu, China;5 Ningxia Technician College of Water Resources and Electric Power, Yinchuan 750006, Ningxia, China)
Abstract:
Using the measured data to verify and construct the stochastic model of soil moisture dynamic,three typical forest ecosystems of maple, pine and cypress forest land were selected to quantify regional soil moisture stochastic distribution, water balance process and the water stress characteristics in the arid and semi-arid area of northern China. The results showed that the stochastic model can effectively simulate the characteristics of soil moisture dynamic distribution of three typical forest land. Meanwhile, it showed the distribution range of the probability density function for three forest is similar and the curves are one-humped. Most of moisture losses from the soil is evaporation and the main part is the evapotranspiration under stressed condition.On the other hand, the soil infiltration take a very small proportion, and the runoff hardly occours which matching the real situation of the forest land in arid and semi-arid mountain areas.Three forest land is suffered a certain degree of water stress and the water stress for three forest turns out to be very similar, suggesting that soil moisture condition is the decisive factor which can influence regional ecological system.
KeyWords:
soil moisture probability density function;water balance; water stress; forest land; arid and semi-arid region