Application of U-D factorization-based Kalman filter to identify the groundwater pollution source
CUI Shang-jin1,2, LU Wen-xi1,2, GU Wen-long1,2, CHANG Zhen-bo1,2, LUO Jian-nan1,2
1. Key Laboratory of Groundwater Resources and Environment Ministry of Education, Jilin University, Changchun 130012, China;
2. College of Environment and Resources, Jilin University, Changchun 130012, China
A improved Kalman filter, which was factorized by U-D method, was proposed to enhance the validity and reliability of the inverse strategy. The fuzzy set theory was introduced to represent contaminant plume in a hypothetical case. Then the weight of the potential source location was updated through the comparison of the composite plume updated by U-D factorization-based Kalman filter and the individual plume. The case study indicated that the U-D factorization-based Kalman filter has better reliability and validity, which can identify the location of pollution source better.
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