| タイトル | A simulation of air pollution model parameter estimation using data from a ground-based LIDAR remote sensor |
| 著者（英） | Kibler, J. F.; Suttles, J. T. |
| 著者所属（英） | NASA Langley Research Center |
| 発行日 | 1977-01-01 |
| 言語 | eng |
| 内容記述 | One way to obtain estimates of the unknown parameters in a pollution dispersion model is to compare the model predictions with remotely sensed air quality data. A ground-based LIDAR sensor provides relative pollution concentration measurements as a function of space and time. The measured sensor data are compared with the dispersion model output through a numerical estimation procedure to yield parameter estimates which best fit the data. This overall process is tested in a computer simulation to study the effects of various measurement strategies. Such a simulation is useful prior to a field measurement exercise to maximize the information content in the collected data. Parametric studies of simulated data matched to a Gaussian plume dispersion model indicate the trade offs available between estimation accuracy and data acquisition strategy. |
| NASA分類 | ENVIRONMENT POLLUTION |
| レポートNO | 77A19811
AIAA PAPER 77-75 |
| 権利 | Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/439459 |
