A Study on the Suspended Fine Particulate (PM10) of Fugitive Dust Forecasts- A Case Study of Siansi Monitoring Station -
碩士 === 國立中興大學 === 水土保持學系所 === 100 === This study used Back-Propagation Neural Network to predict the concentration of PM10 of fugitive dust. For improving the prediction, meteorological parameters (temperature, rainfall, relative humidity, wind direction and wind velocity ) and environmental monitor...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/3um9w6 |