Author(s)

Xianghan Liang ¹

Affiliation(s)

¹ Management Committee of Beijing Olympic Park Central Area, Beijing, 100101, China

Corresponding Author

Xianghan Liang

ABSTRACT

In order to deeply analyze the spatiotemporal dynamics of soil moisture in Artemisia Ordosica sample plots with different fixed degrees (fixed, semi fixed, and shifting sand land) in Mu Us sand land, this study conducted long terms and continuous monitoring of soil moisture in three types of sample plots by using the AR-5 automatic soil moisture monitoring system, And used AV-3665R rainfall sensor to monitor rainfall The results showed that: (1) In the study area, the seasonal variation of soil moisture was fundamentally synchronized with precision, the change trend of soil water content is significantly related to precision Under the joint influence of precision, plant root distribution and evaporation, the spatial dynamics of soil water in three sample plots with different degrees of fixation are significantly different In each time period, the soil water content of fixed sand land is less than that of semi fixed sand land and shifting sand land. (2) Every year, the change of soil water content is generally divided into three periods From November to February, the soil moisture content increased steadily; From March to July, the soil water content first increased significantly, then decreased slowly; From August to October, the soil water content increased significantly. (3) The vertical distribution layer of soil water content in different fixed types of sandy land can be divided into four layers, named the soil water sharp change layer (0-10cm), the soil water sensitive layer (10-40cm), the soil water active layer (40-120cm), and the soil water stable layer (120-200cm). (4) The fractional soil water movement model is used to simulate the soil water dynamics, and the parameters are modified after the preliminary validation of the model The results show that the model parameters after the parameter correction meet the set value range, and the goodness of fit meets the statistical requirements, and the modified model can better reflect the soil water movement in different periods. (Figure 6, Table 2, Reference 13)

KEYWORDS

Soil water content; Precision; Dynamics; Mu Us sandy land

CITE THIS PAPER

Xianghan Liang, Study on Soil Moisture Dynamics and Fitting in Mu Us Sandy Land. Environment and Climate Protection (2024) Vol. 3: 7-16. DOI: http://dx.doi.org/10.23977/envcp.2024.030102.

REFERENCES

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