A New Approach of Oil Spill Detection Using Time-Resolved LIF Combined with Parallel Factors Analysis for Laser Remote Sensing; A New Approach of Oil Spill Detection Using Time-Resolved LIF Combined with Parallel Factors Analysis for Laser Remote Sensing | |
Liu, Deqing1,2; Luan, Xiaoning1; Guo, Jinjia1; Cui, Tingwei2; An, Jubai3; Zheng, Ronger1 | |
刊名 | SENSORS ; SENSORS |
2016-09 ; 2016-09 | |
卷号 | 16期号:9 |
关键词 | oil spill identification oil spill identification time-resolved fluorescence time-resolved fluorescence PARAFAC PARAFAC laser remote sensing laser remote sensing |
ISSN号 | 1424-8220 ; 1424-8220 |
DOI | 10.3390/s16091347 ; 10.3390/s16091347 |
英文摘要 | In hope of developing a method for oil spill detection in laser remote sensing, a series of refined and crude oil samples were investigated using time-resolved fluorescence in conjunction with parallel factors analysis (PARAFAC). The time resolved emission spectra of those investigated samples were taken by a laser remote sensing system on a laboratory basis with a detection distance of 5 m. Based on the intensity-normalized spectra, both refined and crude oil samples were well classified without overlapping, by the approach of PARAFAC with four parallel factors. Principle component analysis (PCA) has also been operated as a comparison. It turned out that PCA operated well in classification of broad oil type categories, but with severe overlapping among the crude oil samples from different oil wells. Apart from the high correct identification rate, PARAFAC has also real-time capabilities, which is an obvious advantage especially in field applications. The obtained results suggested that the approach of time-resolved fluorescence combined with PARAFAC would be potentially applicable in oil spill field detection and identification.; In hope of developing a method for oil spill detection in laser remote sensing, a series of refined and crude oil samples were investigated using time-resolved fluorescence in conjunction with parallel factors analysis (PARAFAC). The time resolved emission spectra of those investigated samples were taken by a laser remote sensing system on a laboratory basis with a detection distance of 5 m. Based on the intensity-normalized spectra, both refined and crude oil samples were well classified without overlapping, by the approach of PARAFAC with four parallel factors. Principle component analysis (PCA) has also been operated as a comparison. It turned out that PCA operated well in classification of broad oil type categories, but with severe overlapping among the crude oil samples from different oil wells. Apart from the high correct identification rate, PARAFAC has also real-time capabilities, which is an obvious advantage especially in field applications. The obtained results suggested that the approach of time-resolved fluorescence combined with PARAFAC would be potentially applicable in oil spill field detection and identification. |
资助项目 | National Natural Science Foundation of China[41406111] ; National Natural Science Foundation of China[41406111] ; National Natural Science Foundation of China[41476159] ; National Natural Science Foundation of China[41476159] |
WOS研究方向 | Chemistry ; Chemistry ; Electrochemistry ; Electrochemistry ; Instruments & Instrumentation ; Instruments & Instrumentation |
语种 | 英语 ; 英语 |
出版者 | MDPI AG ; MDPI AG |
WOS记录号 | WOS:000385527700008 ; WOS:000385527700008 |
内容类型 | 期刊论文 |
源URL | [http://ir.fio.com.cn/handle/2SI8HI0U/3364] |
专题 | 业务部门_海洋物理与遥感研究室 |
作者单位 | 1.Ocean Univ China, Opt & Optoelect Lab, Qingdao 266100, Peoples R China; 2.State Ocean Adm, Inst Oceanog 1, Qingdao 266100, Peoples R China; 3.Dalian Maritime Univ, Informat Sci & Technol Coll, Dalian 116026, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Deqing,Luan, Xiaoning,Guo, Jinjia,et al. A New Approach of Oil Spill Detection Using Time-Resolved LIF Combined with Parallel Factors Analysis for Laser Remote Sensing, A New Approach of Oil Spill Detection Using Time-Resolved LIF Combined with Parallel Factors Analysis for Laser Remote Sensing[J]. SENSORS, SENSORS,2016, 2016,16, 16(9). |
APA | Liu, Deqing,Luan, Xiaoning,Guo, Jinjia,Cui, Tingwei,An, Jubai,&Zheng, Ronger.(2016).A New Approach of Oil Spill Detection Using Time-Resolved LIF Combined with Parallel Factors Analysis for Laser Remote Sensing.SENSORS,16(9). |
MLA | Liu, Deqing,et al."A New Approach of Oil Spill Detection Using Time-Resolved LIF Combined with Parallel Factors Analysis for Laser Remote Sensing".SENSORS 16.9(2016). |
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