Soil temperature and humidity is an important indicator to measure the moisture and moisture in the soil. The value of soil temperature and humidity can be measured and recorded by the soil temperature and humidity recorder. Then the correlation between soil moisture and moisture content can be tested through the model. Analysis, today we talk about the simulation results of soil temperature and humidity.

From the simulation results of soil relative humidity, it is feasible to use soil quasi-dissipative dispersion and effective precipitation to calculate daily soil moisture, and agricultural meteorological operations and services have strong operability and practicality. Due to the small number of involved factors, theoretically, as long as there is a daily precipitation observation record, such as an automatic rainfall station or automatic weather stations above two factors (temperature and precipitation), real-time soil temperature and humidity estimation and public opinion assessment can be carried out to achieve regional rain and sensation. Dynamic monitoring.

The accuracy of the prediction of soil effective precipitation determines the quality of the estimation of the moisture content, and the key is to determine the accurate soil effective precipitation coefficient and its correction coefficient. The effective precipitation coefficient of this paper only considers the impact of local 24-hour rain intensity on soil water use, does not consider the seasonal changes of seepage rain, and ignores the differences in water availability at different time scales. When a short-term heavy rainfall is encountered, the soil water use efficiency is significantly lower due to the steep increase in surface runoff. Quasi-dissipation of soil is another key factor in determining the accuracy of the estimation of public opinion. This paper uses a multi-year average data to calculate a constant value through the formula, that is, without considering the inter-annual temperature changes in the ten days and the impact of the level of soil water storage at the beginning of the ten days. It also neglects the effect of crop water demand on the variability of farmland evapotranspiration. In practical applications, when the crop consumes more water (in spring and summer), the coefficients can be corrected for alignment.

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