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Theoretical Application of Ensemble Kalman Filter to Adsorptive Solute Cr(VI) Transfer from Soil into Surface Runoff

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Abstract:

This paper mainly discusses some details when applying data assimilation method via an ensemble Kalman filter (EnKF) to improve prediction of adsorptive solute Cr(VI) transfer from soil into runoff. Based on this work, we could make better use of our theoretical model to predict adsorptive solute transfer from soil into surface runoff in practice. The results show that the ensemble number of 100 is reasonable, considering assimilation effect and efficiency after selecting its number from 25 to 225 at an interval of 25. While the initial ensemble value makes little difference to data assimilation (DA) results. Besides, DA results could be improved by multiplying an amplification factor to forecast error covariance matrix due to underestimation of forecast error.

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Periodical:

Advanced Materials Research (Volumes 919-921)

Pages:

1257-1261

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.919-921.1257

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Cite this paper

Online since:

April 2014

Authors:

Chao Qun Tan, Ju Xiu Tong*, Bill X. Hu, Jin Zhong Yang

Keywords:

Adsorptive Solute, Ensemble Kalman Filter, Transfer into Surface Runoff

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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