3:30 PM - 3:45 PM
[HTT16-01] Geoinformatics analysis of wind in Kobe city area using R and GIS
★Invited Papers
Keywords:Kriging, Wind distribution model, Atmospheric pressure distribution model, Air temperature distribution model, Windshear
Kobe City is an area where land and sea breezes and mountain and valley breezes interact in a complex manner with the topography of the Rokko Mountains, which reaches a maximum height of about 1,000 meters. For this reason, the winds formed in this area often exhibit complex movements. In this study, using only open data, we examined the distribution of the wind vector field, atmospheric pressure, and air temperature fields that formed in the Kobe city area at 11:00 on May 10, 2022 by Geoinformatics analysis.
The target area is Kobe City, and the meteorological observation data used is the data (one-hour value) released by the Japan Meteorological Agency on May 10, 2022. GNU R (R core team, 2023) and gstat (Pebsma, 2004), a package of Kriging methods, and Smart-Map (Pereira, 2022), a kriging method plug-in for QGIS were used for geoinformatics analysis. The 3rd mesh code (Statistics Bureau, Ministry of Internal Affairs and Communications, 2022) was used for the estimated grid. For topographic data, the Geological Information Digital Elevation Model (10-meter mesh) of the Geospatial Information Authority of Japan, Ministry of Land, Infrastructure, Transport and Tourism was used. For the administrative boundary data, the Ministry of Land, Infrastructure, Transport and Tourism National Land Numerical Information Administrative Area Data (created in 2010) was used. For coastline data, the Geospatial Information Authority of Japan Global Map Japan was used. QGIS (QGIS Developing Team, 2023) was used for earth information analysis. Contour plugin (QGIS Development Team, 2022) was used to create contour lines. QGIS (QGIS Development team, 2022) was used for map representation.
Spatial dependence of wind, atmospheric pressure and air temperature observation data were estimated by variogram. Then wind, atmospheric pressure and air temperature distribution model and its dispersion model for the whole area of Kobe city were obtained by the Kriging method. Contour lines of the atmospheric pressure and air temperature distribution models were created using the Contour plug-in and represented on the map using QGIS. Using these data, a qualitative study was conducted on the relationship between the wind distribution and the atmospheric pressure and air temperature distributions in the Kobe city area. As a result, it was presumed that the easterly wind was formed because the layer thickness increased toward the north near the Kobe Local Meteorological Observatory at the target time. In addition, it was presumed that it was a warm air advection mode from the direction of the windshear.
Kriging using R, wind distribution model using GIS, and map representation of atmospheric pressure distribution and air temperature distribution may enable qualitative discussion of wind vector field and windshear even if the number of observation points is limited. Examination of the effectiveness of this method using wind vector fields formed in other regions is a future issue.
The target area is Kobe City, and the meteorological observation data used is the data (one-hour value) released by the Japan Meteorological Agency on May 10, 2022. GNU R (R core team, 2023) and gstat (Pebsma, 2004), a package of Kriging methods, and Smart-Map (Pereira, 2022), a kriging method plug-in for QGIS were used for geoinformatics analysis. The 3rd mesh code (Statistics Bureau, Ministry of Internal Affairs and Communications, 2022) was used for the estimated grid. For topographic data, the Geological Information Digital Elevation Model (10-meter mesh) of the Geospatial Information Authority of Japan, Ministry of Land, Infrastructure, Transport and Tourism was used. For the administrative boundary data, the Ministry of Land, Infrastructure, Transport and Tourism National Land Numerical Information Administrative Area Data (created in 2010) was used. For coastline data, the Geospatial Information Authority of Japan Global Map Japan was used. QGIS (QGIS Developing Team, 2023) was used for earth information analysis. Contour plugin (QGIS Development Team, 2022) was used to create contour lines. QGIS (QGIS Development team, 2022) was used for map representation.
Spatial dependence of wind, atmospheric pressure and air temperature observation data were estimated by variogram. Then wind, atmospheric pressure and air temperature distribution model and its dispersion model for the whole area of Kobe city were obtained by the Kriging method. Contour lines of the atmospheric pressure and air temperature distribution models were created using the Contour plug-in and represented on the map using QGIS. Using these data, a qualitative study was conducted on the relationship between the wind distribution and the atmospheric pressure and air temperature distributions in the Kobe city area. As a result, it was presumed that the easterly wind was formed because the layer thickness increased toward the north near the Kobe Local Meteorological Observatory at the target time. In addition, it was presumed that it was a warm air advection mode from the direction of the windshear.
Kriging using R, wind distribution model using GIS, and map representation of atmospheric pressure distribution and air temperature distribution may enable qualitative discussion of wind vector field and windshear even if the number of observation points is limited. Examination of the effectiveness of this method using wind vector fields formed in other regions is a future issue.