環境場設定の Space Modular Co-ordination Chart : その 2 実用化への考察

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タイトル別名
  • SPACE MODULAR CO-ORDINATION CHART FOR SIMULATION STUDY : No.2 4 Case studies of space-time divided chart
  • 環境場設定のSpace Modular Co-ordination Char--実用化への考察
  • カンキョウバ セッテイ ノ Space Modular Co ordinati

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This report having 4 case studies shows the practical use about the Space Modular Co-ordination Chart. (1) Fig.2-1 shows the mutual relation of the subject (inner environment human body) and the environment. In 1980, the biggest computer in the world has 5.1×(10)^8 bit memory capacity, this capacity is just same as one of human being. But this capacity is very small to understanding the outer environment. Therefor we must divide the environment, and need the corresponding scale. For example, making the simulation model and the other approach system that the preliminary approach is correspond to Field, the secondary, to Mesh, the third to Pixcel. (2) In the next case study, making the global mesh data, Fig.2-2 shows H(5-5) World LAND USE MAP (500km Mesh). From this map, we just look the land use of the world, and can use it for the simulation study of the world air stream and etc. Fig.2-3 is H(4-1) JAPAN wood energy stock model (10km Mesh), Fig.2-4 is H(2-4) KANTO-TOKYO DISTRICT LAND USE MAP (500m Mesh) and Fig.2-5 shows H(1-1)〜H(6-1) Models that is remote sensing and earth surface relation. These models are used for several simulation studies. (3) Especially when we use remote sensing technique, this space Modular Co-ordination Chart is very significant. The higher viewpoint from the earth surface, is equivalent to the larger environmental field. Fig.2-6, 2-7 show the viewpoint (measurement field, mesh and pixel), from LANDSAT, Aircraft and etc. If the visual angle of remote sensing machine is the same, its distance is in proportion to measurement field. Therefor its high level shows model Index that is Fig.2-8. For example, Remote Sensing from outer space is the very nice for measurement of urban area. (4) Last case study, Fig.2-9 shows the measurement cycle for instrument and human senser. Fig.2-10 shows the several wave length and frequency for measurement of each environment field.

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