冰川冻土 2007, Vol.29 Issue (5): 785-794
1. 中国科学院, 寒区旱区环境与工程研究所, 甘肃, 兰州, 730000;2. 兰州大学, 国家教育部西部环境重点实验室, 甘肃, 兰州, 730000;3. 兰州大学, 资源环境学院, 甘肃, 兰州, 730000>
GIS-Assisted Modeling Spatial and Temporal Variations of Soil Water Content in Anjiapo Catchment of the Western Loess Plateau
1. Linze National Field Station for Farmland Ecosystem, CAREERI, CAS, Lanzhou Gansu 730000, China;2. National Laboratory of Western China’s Environmental System, Lanzhou University, Lanzhou Gansu 730000, China;3. Resource and Environment College, Lanzhou University, Lanzhou Gansu 730000, China>
Understanding of the spatial and temporal variability of soil water content(SWC) can provide an important baseline for assessing ecological(for restoration) and economic(for agriculture) conditions at micro-and meso-scales.To characterize the soil water content,a small catchment,Anjiapo(10 km2) in the semiarid western Loess Plateau was selected.Soil moisture has been measured at 36 sites for 16 years in the catchment.Several conclusions can be drawn from the analytical results of data: 1) wetter soil moisture conditions occur in two periods(one period from April to May,the other from the late August to October).2) SWC varies with slope position,aspect and land use type.SWC is higher in low slope position than in higher slope position,higher in north-facing slope than in south-facing slope,and higher in cropland than in shrub land and forestland.3) a hydrological active layer of soil moisture generally occurs at 0~40 cm depth from surface in grassland and forestland,0~30 cm in wasteland,0~100 cm in farmland.The soil moisture in the active layer is affected by meteorological,biological,and anthropogenic factors and exhibits larger amplitude of variations than other layers.Wetness index model was used to predict the temporal and spatial variation of soil moisture patterns in this study.Comparing predicted soil moisture with the observed soil water content shows that the correlation is significant in April,August and September at the 0.01 level,while the correlation is significant in other May,June and July at the 0.05 level.According to the empirical relationship between the wetness index and observed soil water content,the wetness index can be converted into soil water content to serve for water resource assessment and ecological restoration.The objective is to build physical processes-based model that can explain the variability of soil water content and that can be applicable to larger scales and other bio-climatically similar area.
- 赵传燕, 冯兆东, 南忠仁. 黄土高原西部土壤水分时空变化模拟研究——以安家坡流域为例[J]. 冰川冻土, 2007, 29(5): 785-794.
- ZHAO Chuan-yan, FENG Zhao-dong, NAN Zhong-ren. GIS-Assisted Modeling Spatial and Temporal Variations of Soil Water Content in Anjiapo Catchment of the Western Loess Plateau[J]. JOURNAL OF GLACIOLOGY AND GEOCRYOLOGY, 2007, 29(5): 785-794.