Real-time Monitoring of Pollutant Diffusion States and Source Using Fuzzy Adaptive Kalman Filter

An inverse analysis method for the real-time monitoring of pollutant diffusion is developed based on fuzzy adaptive Kalman filter (FAKF) coupled with weighted recursive least squares algorithm (WRLSA). In the monitoring process, the discrete diffusion states equation is established first. Then, the...

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Veröffentlicht in:	Water, air, and soil pollution Jg. 229; H. 7; S. 1 - 14
Hauptverfasser:	Wang, Xudong, Zhang, Daqian, Chen, Liying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.07.2018 Springer Springer Nature B.V
Schlagworte:	Adaptive filters Algorithms Analysis Atmospheric Protection/Air Quality Control/Air Pollution Climate Change/Climate Change Impacts Computer simulation Diffusion Dye dispersion Earth and Environmental Science Environment Environmental monitoring equations Hydrogeology Kalman filters Mathematical models Methods Monitoring Pollutants pollution Pollution monitoring Real time Soil Science & Conservation Technology application Water Quality/Water Pollution Inverse analysis Diffusion state Fuzzy adaptive Kalman filter Real-time monitoring Pollutant source
ISSN:	0049-6979, 1573-2932
Online-Zugang:	Volltext
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