干旱区生态环境知识资源中心(Arid): Monitoring the soil copper pollution degree based on the reflectance spectrum of an arid desert plant

Arid

DOI	10.1016/j.saa.2021.120186
	Monitoring the soil copper pollution degree based on the reflectance spectrum of an arid desert plant
	Cui, Shichao; Zhou, Kefa; Ding, Rufu; Wang, Jinlin; Cheng, Yinyi; Jiang, Guo
通讯作者	Zhou, KF (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China.
来源期刊	SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
ISSN	1386-1425
EISSN	1873-3557
出版年	2021
卷号	263
英文摘要	Visible and near-infrared reflectance spectroscopy offers a rapid, inexpensive, and environmentally friendly method for monitoring copper pollution in the soil. However, the application of this approach in vegetation-covered areas is still a challenge due to interference from plants, making it difficult to acquire soil reflectance spectra. To address this problem, this study assesses whether the reflectance spectrum of a widely distributed arid desert plant (Seriphidium terrae-albae) can be used to rapidly eval-uate copper pollution in the soil. A pot experiment was conducted for five months from April to September 2019. The reflectance spectra of the plants were measured in June, July, and August 2019 using an ASD Fieldspec3 spectrometer. Each month, the five vegetation indexes with the highest corre-lation with the evaluation value of the copper pollution degree were input into an extreme learning machine (ELM) to build a model to monitor the degree of copper pollution in the soil. The results showed that the model could quickly evaluate the degree of copper pollution, but the accuracy varied widely among the calculated vegetation indexes depending on the month when the spectral data were extracted. The model constructed by selecting ten vegetation indexes composed of plant spectra collected in June and July provides high recognition accuracy, reaching 89.02%. Only seven bands were needed due to the model's low complexity, which means that it has great potential to be applied to remote sensing images to establish a real-time monitoring system to detect copper pollution in the soil. This study pro-posed a simple and rapid method for monitoring copper pollution in soil using plant spectra, and this method could provide extremely valuable for soil protection and management in arid desert areas. (c) 2021 Elsevier B.V. All rights reserved.
英文关键词	Vegetation index Copper pollution in soil Extreme learning machine Monitoring model Arid desert plants
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000691495800006
WOS关键词	HEAVY-METAL CONTAMINATION ; AGRICULTURAL SOILS ; VEGETATION REFLECTANCE ; MINE AREA ; SPECTROSCOPY ; DEPOSITS ; INDEXES ; PREDICTION ; XINJIANG ; SUBURBAN
WOS类目	Spectroscopy
WOS研究方向	Spectroscopy
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364726
作者单位	[Cui, Shichao; Zhou, Kefa; Wang, Jinlin; Cheng, Yinyi; Jiang, Guo] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Cui, Shichao; Zhou, Kefa; Wang, Jinlin; Cheng, Yinyi; Jiang, Guo] Xinjiang Key Lab Mineral Resources & Digital Geol, Urumqi 830011, Peoples R China; [Cui, Shichao; Zhou, Kefa; Wang, Jinlin; Cheng, Yinyi; Jiang, Guo] Chinese Acad Sci, Xinjiang Res Ctr Mineral Resources, Urumqi 830011, Peoples R China; [Cui, Shichao; Zhou, Kefa; Wang, Jinlin; Cheng, Yinyi; Jiang, Guo] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Ding, Rufu] China Non Ferrous Met Resources Geol Survey, Beijing 100012, Peoples R China
推荐引用方式 GB/T 7714	Cui, Shichao,Zhou, Kefa,Ding, Rufu,et al. Monitoring the soil copper pollution degree based on the reflectance spectrum of an arid desert plant[J]. 中国科学院新疆生态与地理研究所,2021,263.
APA	Cui, Shichao,Zhou, Kefa,Ding, Rufu,Wang, Jinlin,Cheng, Yinyi,&Jiang, Guo.(2021).Monitoring the soil copper pollution degree based on the reflectance spectrum of an arid desert plant.SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY,263.
MLA	Cui, Shichao,et al."Monitoring the soil copper pollution degree based on the reflectance spectrum of an arid desert plant".SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 263(2021).