The corresponding parameters and fractal dimension derived from the theoretical model of average soil moisture variation are derived from the spherical model and the Gaussian model. They fit better to the experimental variogram and the coefficient of determination varies between 0.4 and 0.8, F. The test is extremely significant, indicating that the theoretical variogram model well reflects the spatial structure characteristics of soil moisture. Since the soil moisture shows a base station value for most of the observation period, it shows that the soil moisture has a stable or nearly stationary characteristic in the study area.
Through the measurement of the soil moisture meter, it was found that the degree of spatial variability of soil moisture on the slope surface was inversely proportional to the soil moisture content. When the soil moisture content was low, the degree of spatial variability of the soil moisture was high and the value of the abutment was also high. As the soil moisture content increased The spatial variability of soil moisture decreased, and the value of the abutment also became smaller. The nugget value showed a significant seasonal pattern, which was similar to the average soil moisture content. The soil water base level increases with the soil depth, ie, the soil layer is deepened, and the soil water variability increases. 0) The variability of the 100cm average soil moisture and the profile soil moisture show a fluctuating effect, ie, the experimental semi-variance does not increase monotonically with the increase of the step length, but shows that the similar distance periodically fluctuates up and down to reach the base station value. Later, there are also such fluctuations. This is because the soil moisture is sampled along the slope and the clustering effect of the sample leads to this periodicity. If a uniform grid sampling is established, this phenomenon will be reduced. The periodicity may be related to the terrain and geomorphology factors in the study area, or it may be related to artificial soil preparation. Under the scale of this study, the micro-geomorphic pattern on the slope is the main reason.
Automatic 3D Fiber Laser Pipe Cutting Machine
Technical advantages:
1. Excellent and efficient processing: Five-axis linkage of the bus system realizes space leapfrog and flying cutting technology, and improves efficiency by more than 20-50%.
2. Pipe cutting system: user-friendly and easy to operate, with sufficient pipe process database.
3. Special bed design:reinforced integrated welding bed, after annealing and twice aging treatment, with good stability.
4. Simple and convenient maintenance: the front chuck has good sealing performance and is more durable against dust; The rear chuck blows air automatically, and the pipe wall is cleaner.
5. Automatic feeding rack(optional): realize automatic clamping, pushing and accurate feeding with fast cyclic feeding speed.
6. Good quality and high precision: front and rear full stroke precision pneumatic chuck, multi axis linkage at the same time, good cutting effect and high precision.
7. A15: Double chuck short tailing:the cutting head spans from the front to the back of the front chuck and cuts the last workpiece.The tailing ≥ 40mm can save more material costs.
8. Excellent processing performance: it adopts high rigidity thickened bed, with bus pipe cutting system and bus motor which has faster processing speed and higher precision.
9. Slag extraction system (optional): solve the problem that there is no residue on the inner wall of the pipe, eliminating the secondary vibration polishing process.
10. High efficiency feeding system (optional): high rigidity design of feeding rack, stable and fast feeding and refueling, and the cycle time is about 10 seconds.
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