Mr. Zhang Feng Profile

Zhang Feng

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Proceedings Article | 29 December 2022 Open Access

Research on the chlorophyll-a distribution in Bohai Sea based on the MODIS data

Xiufen Wang, Zhangjun Wang, Quangfeng Zhuang, Hui Li, Chao Chen, Xianxin Li, Boyang Xue, Xiaoyan Liu, Xin Pan, Feng Zhang, Yang Yu, Zhenxian Qi

Proceedings Volume 12506, 1250643 (2022) https://doi.org/10.1117/12.2662330

KEYWORDS: MODIS, Satellites, Ecosystems, Remote sensing, Data modeling, Spatial resolution, Lithium, In situ metrology, Data processing, Clouds

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Chlorophyll-a (Chla) concentration data is one of the key parameters for the evaluation of water eutrophication and primary productivity. Compared with traditional monitoring methods, it has the advantages of quasi-real-time, largescale and long-term by using remote sensing data to retrieve Chla concentration data. Analyzing the temporal and spatial distribution of Chla concentration and its long time series changes will help relevant institutions to comprehensively evaluate and control the water environment. However, there is no consensus on the long-term change mechanism of Chla concentration in coastal waters. In this study, the Modis data from 2003 to 2009 was used to retrieve the Chla concentration data in the Bohai Sea and its temporal and spatial distribution characteristics were analyzed. In addition, the potential relationship between wind speed and Chla concentration was analyzed using Quick Scatterometer wind field data over the same time period. The results showed that there were different seasonality characteristics in different dynamic regions. The concentration of Chla was the lowest in summer in the Bohai Sea, and it showed an obvious interannual variation trend in summer and autumn in Laizhou Bay and Bohai Bay. The comparison results of wind speed and Chla showed that the seasonal changes of wind speed and Chla were consistent to some extent. It should be considered that the wind field of sea surface was one of the influencing factors of Chla change mechanism in the shallow sea ecological environment system.

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Proceedings Article | 24 October 2017 Paper

A new approach of oil spill detection with time-resolved LIF polarization spectrum combined with principle component analysis

Xiaoning Luan, Feng Zhang, Jinjia Guo, Tingwei Cui, Ronger Zheng

Proceedings Volume 10461, 104610U (2017) https://doi.org/10.1117/12.2284371

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In order to promote the classification ability of the traditional time-resolved LIF technique to achieve oil spill detection, a novel LIF polarization experimental setup was developed in the laboratory with the ability to obtain time-resolved LIF spectra of both the Co-polarized and Cross-polarized components simultaneously under linearly excitation. With it, a series of oil spills investigation were performed with six crude oil samples, which were carefully selected to ensure each two of them are derived from adjacent wells located within the same well block. After recording of a complete series of time-resolved LIF spectral data, the polarization direction of the excitation was rotated by 90 degrees to proceed with acquisition of another series of data. And with these two sets of data, LIF spectra of the two orthogonal polarization components were calibrated to guarantee the accuracy of the polarization detection. Spectral data of the two orthogonal polarization components were processed with the newly proposed intensity-normalized method and combined to form the data array, based on which clustering and classification results were obtained via the approach of PCA. It was showed that no matter within the three-dimensional space nor the two-dimensional plane composed of the principal components, ideal clustering results can be obtained from similar crude oil samples based on time-resolved LIF polarization technique, even though their locations of fluorescence peak intensities were quite close. Compared with the classification results achieved with the traditional time-resolved LIF technique based on the same data set, it can be concluded that with the auxiliary help of the distinct LIF polarization characteristics of different oil, the classification ability of time-resolved LIF technique is significantly improved.

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