Forecasting method for village and town-level atmospheric pollution traceability
A township-level technology, applied in the forecasting field of air pollution traceability at the township level, can solve problems such as the inability to trace the source of air pollution in townships and townships, and achieve the effect of realizing pollution contribution and improving accuracy
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Embodiment 1
[0030] combine figure 1 As shown, a method for forecasting traceability of air pollution in a township of the present invention specifically includes the following steps:
[0031] 1) Obtain terrain data
[0032] Obtain regional terrain data, specifically, use satellites to acquire radar image data, and obtain SRTM terrain data according to the radar image data. In this embodiment, the interpolation algorithm is used to process the radar image data to obtain SRTM terrain data; it is worth noting that the SRTM terrain data is divided into SRTM1 data and SRTM3 data according to the resolution accuracy, wherein the resolution accuracy of the SRTM1 data is 30 meters, The resolution accuracy of SRTM3 data is 90 meters.
[0033] 2) Make geographic information files
[0034] The geographical information files of townships, districts and counties are prepared according to the regional terrain data; specifically, the geographical information files of townships, districts and counties...
Embodiment 2
[0050] The content of this embodiment is basically the same as that of Embodiment 1. Further, in this embodiment, the method of Embodiment 1 is applied to the traceability and forecasting of air pollution at the urban and county level, including the following steps:
[0051] (1) Obtain topographic data of a certain city to form a localized digital topography of the city.
[0052] (2) According to the administrative division of a certain city, prepare the shp files of 11 municipal districts to provide a basis for the division of the footprint of the polluted air mass.
[0053] (3) Terrain data is gridded and assimilated into a mesoscale meteorological model to improve the weather forecast effect of numerical simulation and truly reflect the influence of the latest underlying surface conditions on the traceability of air pollution.
[0054] (4) Simulate the GFS meteorological data through the mesoscale meteorological model to calculate the three-dimensional meteorological field ...
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