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Diagnostic features emerging in near-infrared reflectance spectroscopy for low petroleum hydrocarbon pollution after spectral subtraction

文献类型：期刊论文

作者Lou, Qijia5,6; Lei, Mei5,6; Wang, Yu4; Wang, Shaobin6; Guo, Guanghui6; Xiong, Wencheng3; Jiang, Ying2; Ju, Tienan6; Zhao, Xiaofeng1; Coulon, Frederic2
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2024-06-10
卷号928页码:172264
关键词Absorption feature Fast Fourier transform filtering Knowledge-based approach Soil matrix
DOI10.1016/j.scitotenv.2024.172264
产权排序1
文献子类Review
英文摘要Diagnostic features in near -infrared reflectance spectroscopy (NIRS) are the foundation of knowledge -based approach of petroleum hydrocarbon determination. However, a significant challenge arises when analyzing samples with low levels of petroleum hydrocarbon pollution, as they often lack distinctive diagnostic features in their sample NIRS spectra, limiting the effectiveness of this approach. To address this issue, we have developed a technical workflow for diagnostic spectrum construction and parameterization based on spectral subtraction. This method was applied on a set of NIRS spectra from soil samples that were contaminated with petroleum hydrocarbons (ranged between 178 and 1716 mg/kg of total petroleum hydrocarbon). Then two diagnostic features for low-level petroleum hydrocarbon pollution were found: (1) An overall downward concave emerged on diagnostic spectrum within both 2290 -2370 nm and 1700 -1780 nm for all low pollution levels even below 200 mg/kg; (2) An indicative pattern of asymmetric W-shaped double absorption valley occurred for those exceeding 1000 mg/kg, and its valleys located near 2310 nm, 2348 nm or 1727 nm, 1762 nm stably. These two features on diagnostic spectrum could be parameterized to detect, and the detection limit was at least about 10 -50 times lower than that based on sample spectrum. These findings update our understanding on the detectability of spectral response from low petroleum hydrocarbon pollution, and widely extend the application of knowledge -based NIRS approach in either field detection or remote sensing identification for environmental management.
WOS关键词CONTAMINATED SOIL ; CRUDE OILS ; TOXICITY ; SPILL
WOS研究方向Environmental Sciences & Ecology
WOS记录号WOS:001232057900001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/205315]  
专题资源利用与环境修复重点实验室_外文论文
通讯作者Lei, Mei
作者单位1.China Geol Survey, Command Ctr Nat Resources Comprehens Survey, Beijing 100055, Peoples R China
2.Cranfield Univ, Sch Water Energy & Environm, Cranfield MK43 0AL, England
3.Minist Ecol & Environm, Satellite Applicat Ctr Ecol & Environm, Beijing 100094, Peoples R China
4.Minist Ecol & Environm, Tech Ctr Soil Agr & Rural Ecol & Environm, Beijing 100012, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Lou, Qijia,Lei, Mei,Wang, Yu,et al. Diagnostic features emerging in near-infrared reflectance spectroscopy for low petroleum hydrocarbon pollution after spectral subtraction[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2024,928:172264.
APA Lou, Qijia.,Lei, Mei.,Wang, Yu.,Wang, Shaobin.,Guo, Guanghui.,...&Coulon, Frederic.(2024).Diagnostic features emerging in near-infrared reflectance spectroscopy for low petroleum hydrocarbon pollution after spectral subtraction.SCIENCE OF THE TOTAL ENVIRONMENT,928,172264.
MLA Lou, Qijia,et al."Diagnostic features emerging in near-infrared reflectance spectroscopy for low petroleum hydrocarbon pollution after spectral subtraction".SCIENCE OF THE TOTAL ENVIRONMENT 928(2024):172264.

入库方式： OAI收割

来源：地理科学与资源研究所

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