| Autor: |
Qi, Hanbing, Shan, Junzhang, Wang, Qiushi, Li, Dong, Zhang, Xiaoxue, Sun, Jiaxing |
| Zdroj: |
Journal of Optics (09728821); Sep2023, Vol. 52 Issue 3, p1286-1295, 10p |
| Abstrakt: |
The qualitative detection of crude oil is the key link in dealing with oil leakage accidents. However, as a result, the absence of quick and effective methods to detect the oil spills, it is still difficult to track and hold accountable of perpetrator. The present study proposed a rapid analytical method for oil spills detection based on its optical properties, which has been similarly used in rapid detection of the variety of materials, such as gas mixture and water steam. An analytical method, principal component analysis, was proposed to reduce the dimension of spectral data and amount of computation. Mahalanobis distance was used to qualitatively analyze the ultraviolet–visible transmission spectra of the oil from the different crude oil plants. The study reveals that the first two principal components maintain most of the information in the original data to ensure the reliability of the subsequent calculation results. The Mahalanobis distance can accurately distinguish the spectral data of crude oil from different plants, and detection is faster by reducing the number of correction sets. In addition, Savitzky–Golay smoothing method removed the interference factors in the spectral information and makes the qualitative analysis more accurate. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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