Fine wind field simulation method based on live-action vegetation spatial distribution roughness

A wind field simulation and spatial distribution technology, applied in 3D modeling, image data processing, complex mathematical operations, etc., can solve the problems of vegetation single roughness, systematic error, uniformity, etc., to overcome the low accuracy of wind field, reduce Requirement, effect with applicability

Inactive Publication Date: 2018-02-16
FUZHOU UNIV
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Problems solved by technology

Most of the existing simulations assume that the vegetation of the terrain is single or the roughness in the simulated boundary lay

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  • Fine wind field simulation method based on live-action vegetation spatial distribution roughness
  • Fine wind field simulation method based on live-action vegetation spatial distribution roughness
  • Fine wind field simulation method based on live-action vegetation spatial distribution roughness

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Embodiment Construction

[0041] Attached below Figure 1-7 , the technical solution of the present invention is described in detail.

[0042] A fine wind field simulation method based on the spatial distribution roughness of real vegetation of the present invention aims at simulating the fine wind field by using computational fluid dynamics in the virtual geographical environment in the computer in consideration of the surface roughness , to obtain more detailed and accurate wind profiles under different vegetation. The shape of the wind field in the present invention should meet three requirements: accuracy, reality and scientificity.

[0043] In the actual scene, the near-surface layer is generally about 10% of the lower part of the boundary layer, and the height is about 50-100m. Whether the wind speed follows the logarithmic distribution with height is mainly determined by the atmospheric stratification at that time. Atmospheric stratification can be divided into three types: unstable, stable an...

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Abstract

The invention relates to a fine wind field simulation method based on live-action vegetation spatial distribution roughness. The method comprises the steps that different terrain boundary layers are selected for simulation analysis, wherein terrains are covered with shrub, grassland, trees, rock and other vegetations; and roughness lengths are divided into four grades for a simulation experiment,a comparative analysis experiment is performed, and a roughness reference value suitable for each vegetation and a most proper mode parameter optimization scheme are selected. Through the underlying surface roughness refining method for CFD (computational fluid dynamic) wind field simulation, the defects that in the prior art, wind field simulation precision is not high, and accuracy is poor can be overcome, the requirement on computer software and hardware is greatly lowered, and the method has higher applicability and accuracy for terrain models under various conditions.

Description

technical field [0001] The invention belongs to the intersection neighborhood of geographic information technology and computer graphics display, and in particular relates to a fine wind field simulation method based on the roughness of the spatial distribution of real vegetation. Background technique [0002] At present, there are limited methods for studying wind fields at home and abroad. In addition to traditional interpolation algorithms, relatively complete research methods for wind detection at home and abroad are mainly divided into concentrated on-site wind measurements, wind tunnel tests, linear simulations, and computational fluid dynamics simulations. Numerous literatures show that the wind field simulation based on CFD (Computational Fluid Dynamics) is an effective method for scientifically simulating the wind field. When the wind is running near the surface, it is mainly affected by the roughness of the terrain and the distribution of vegetation. Most of the e...

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Application Information

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IPC IPC(8): G06F17/50G06T17/05G06F17/12
CPCG06F17/12G06T17/05G06F30/20Y02A90/10
Inventor 李建微罗永珍陈思喜胡奎
Owner FUZHOU UNIV
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