Abstract:

In order to explore the distribution of the regional soil moisture and get the scientific sampling and analysis method, four spatial analysis methods including inverse distance weighted method, ordinary kriging method, co-kriging method and stochastic simulation method were used to analyze the moisture content at the depth of 6 cm, 10 cm, 15 cm and 20 cm on 3022 sampled data in Tongzhou district of Beijing. The study showed that moisture content of soil at depth of 20 cm was more stable than any other depth, and it was suitable to be a prediction index of soil moisture content. The stochastic simulation method had a lower smooth effect and the map generated by this method was different from that of the other three methods, thus it was only suitable for the moisture analysis of area which has a large variation. The maps generated by other three methods were almost the same and all of them could be used for moisture analysis of the general area .Co-kriging method considering the soil moisture contents at the depth of 6 cm was the optimal method and the variance was 40%-60% less than that of ordinary kriging. At last, a sampling method which can make full use of the surface soil moisture content was proposed to improve the preciosity of soil moisture content prediction.