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| An EEMD-MA-FD spectral diagnosis model of copper pollution in maize leaves |
| Received:July 03, 2018 |
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| KeyWord:copper pollution;maize leaves;ensemble empirical mode decomposition;Mallat;fractal dimension |
| Author Name | Affiliation | E-mail | | CHENG Feng | State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology(Beijing), Beijing 100083, China | | | YANG Ke-ming | State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology(Beijing), Beijing 100083, China | ykm69@163.com | | WANG Min | State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology(Beijing), Beijing 100083, China
North China University of Science & Technology, Tangshan 063210, China | | | LI Yan | State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology(Beijing), Beijing 100083, China | | | GAO Peng | State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology(Beijing), Beijing 100083, China | | | ZHANG Chao | State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology(Beijing), Beijing 100083, China | |
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| Abstract: |
| Copper is used to investigate the differences of weak spectral information in maize leaves under different stress gradients of heavy metals. On the basis of spectral data and Cu2+ contents in maize leaves measured in 2017, an EEMD-MA-FD spectral diagnosis model is constructed, consisting of ensemble empirical mode decomposition (EEMD), Mallat (MA), and fractal dimensions (FD), to monitor the changes of weak spectral information. In order to verify the superiority of the EEMD-MA-FD model for monitoring copper pollution in maize leaves, it was compared with conventional heavy metal pollution monitoring methods such as the maximum values of the red edge and blue edge. Finally, spectral data collected in 2016 are used as testing data to verify the stability of the model. The results showed that a strong correlation between Cu2+ contents in maize leaves and EEMD-MA-FD model results, with a correlation coefficient of -0.942 2. The correlation coefficient between Cu2+ contents of testing data and the model results was -0.993 7, which was in good agreement with the experimental results. Therefore, the feasibility of the EEMD-MA-FD diagnostic model for monitoring heavy metal copper pollution in maize was verified. |
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