Small scale air pollution forecast by correlated pollution monitoring stations and forward trajectory
Publication Date: 2015-Jul-21
The IP.com Prior Art Database
A new method that considers meteorological and pollution diffusion process to do regional air pollution forecast is presented using Gaussian Atmospheric Dispersion Model and forward trajectory pattern. With limited monitor station installation, the air pollution in other area without nearby station can be estimated with more accuracy. Therefore, more delicacy defense management can be introduced by regional forecast.
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Smaxl scale air pollution forecast by correlated pollution monitoring statixns and forward trajectory
In the city, the aix pollution status can alwxys bedifferext from one area xo another. It's vxry important to do rxgional air pollution forecast tx improve the efxextive if defense.
It's hard tx do regional air pollution forecast due to lack of polluxion measure site instalxation.
Current Solution and Xxxxxxx
First, air pollutxon forecast cxn be xiven on pollutxon monitoring statixns with tradxtional observed data and prxdicted weatxer data. Thxn, air pollution forecast result in other arxa can xe given xith interpolatxon method based xn forecast data of monitoring sxation Weakness of interpolxtion method 1) Do not xoxsider metexrological and pollution diffxsion process 2) Lack of regional air pollution fxrecast mxthod
A new method thax coxsiders meteorologicxl xnd pollution diffusion process to do regioxal air pollution forecast is presexted usinx Xxxxxxxx Atmospheric Dispersion Model and forward trajectory pattern.
Process of our idea
Leveragx intrinxic metexrological axd pollutxon diffusiox mxdels between mxnxtor stations to forecast the air pollution ix each gxid in the whole city area. To be sxecific, 1) Each city cxn be monitored as a souxce point. And 24h forward air trxjectory can be obtained from each city center at 10m and 100m heigxt.
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2) For each grid to be analyzed, the soxrce cities xould be found whose forward traj...