Volcanic ash diffusion prediction method, volcanic ash diffusion prediction device, early warning method and early warning device
A prediction method, volcanic ash technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as house damage, factory failure to produce normally, adverse effects on the respiratory system, etc., and achieve the effect of reducing adverse consequences
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no. 1 approach
[0043] Below, refer to figure 1 , the volcanic ash spread prediction method according to the first embodiment of the present invention will be described.
[0044] First, in step S101, the wind speed and wind direction of each space layer stratified by height are obtained.
[0045] As mentioned above, in the prior art, the variation of wind direction and wind speed with height is not considered.
[0046] In contrast, in the present invention, the atmosphere is divided into many horizontal space layers. Assume that the horizontal wind speed varies as a function of height, but that each layer has a uniform and constant horizontal wind speed and direction.
[0047] That is, the highest point of the volcanic smoke column (the altitude of the highest point of the smoke column H m ) to the crater (volcanic altitude H 0 ) atmosphere is divided into θ layers, each layer height is ΔH k .
[0048] Σ k = 1 ...
Embodiment 1
[0069] The above-mentioned first embodiment can be specifically realized by the following embodiment 1. Here, refer to the attached figure 2 , and describe this embodiment 1 in detail.
[0070] First, in step S201, the wind speed and wind direction of each space layer stratified by height are obtained.
[0071] In step S202, a buffer area is established as a potential volcanic ash settlement area, and the buffer area is divided into grid points.
[0072] Secondly, in step S203, integration is performed according to height.
[0073] For example, for the particles located in the space layer with height i, the altitude integration step Δi can be used to go from the crater to the highest point of the volcanic plume (with an altitude of H 0 to H m ) for integral calculation.
[0074] In step S204, integration is performed according to the particle size.
[0075] For example, for a particle with a particle size j, the particle size step Δj can be used from the smallest partic...
Embodiment 2
[0110] Next, refer to the attached image 3 , Embodiment 2 will be described. Compared with embodiment 1, the difference between embodiment 2 and embodiment 1 is that step S205 of calculating the atmospheric diffusion function also includes steps S2051 to S2056.
[0111] First, in step S2051, the settlement time t is calculated i,j .
[0112] Secondly, in step S2052, it is judged that the settling time t of the particle is i,j Is it less than the critical value of settling time (FTT).
[0113] Here, a critical value of settling time (FTT) is introduced. When the settling time of particles is less than FTT, go to step S2053; when the settling time of particles is greater than or equal to FTT, go to step S2054.
[0114] The effect of atmospheric turbulence on coarse particles is a second-order effect, and some pyroclastic distribution models are based on the assumption that atmospheric turbulence can be ignored. However, atmospheric turbulence cannot be ignored if the parti...
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