A new method for multi-point pollution source identification |
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| Authors: | Jilin Wang Juanjuan Liu Bin Wang Wei Cheng Jiping Zhang |
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| Institution: | 1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;2. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China;3. Beijing Institute of Applied Meteorology, Beijing, China;4. College of Environmental Sciences and Engineering, Peking University, Beijing, China |
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| Abstract: | Rapid and accurate identification of the characteristics(source location,number,and intensity)of pollution sources is essential for emergency assessment of contamination events.Compared with single-point source iden-tification,the reconstruction of multiple sources is more challenging.In this study,a two-step inversion method is proposed for multi-point pollution source reconstruction from limited measurements with the number of sources unknown.The applicability of the proposed method is validated with a set of synthetic experiments correspond-ing to one-,two-,and three-point pollution sources.The results show that the number and locations of pollution sources are retrieved exactly the same as prescribed,and the source intensities are estimated with negligible errors.The algorithm exhibits good performance in single-and multi-point pollution source identification,and its accuracy and efficiency of identification do not deteriorate with the increase in the number of sources.Some limitations of the algorithm,together with its capabilities,are also discussed in this paper. |
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| Keywords: | Pollution source identification Multiple sources Synthetic experiment Inverse modeling |
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