【引用本文】 尚文郁, 谢曼曼, 王淑贤, 等. 应用近红外光谱法研究泻湖湿地沉积物重金属活动态特征及生态风险评价[J]. 岩矿测试, 2020, 39(4): 597-608. doi: 10.15898/j.cnki.11-2131/td.202001010001
SHANG Wen-yu, XIE Man-man, WANG Shu-xian, et al. Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk Assessment[J]. Rock and Mineral Analysis, 2020, 39(4): 597-608. doi: 10.15898/j.cnki.11-2131/td.202001010001



中国地质大学(北京)地球科学与资源学院, 北京 100083


自然资源部生态地球化学重点实验室, 国家地质实验测试中心, 北京 100037

收稿日期: 2020-01-01  修回日期: 2020-06-04  接受日期: 2020-06-15

基金项目: 国家自然科学基金青年科学基金项目“基于红外光谱的金川泥炭中有机碳、腐植酸、木质素等古气候替代指标快速分析方法及在古气候研究中的应用”(41402325)

作者简介: 尚文郁, 硕士, 助理研究员, 从事环境地球化学及气候替代指标研究。E-mail:shangwenyu@cags.ac.cn

通信作者: 岑况, 博士, 教授, 从事矿床地球化学及环境地球化学研究。E-mail:cenkuang@cugb.edu.cn

Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk Assessment


School of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083, China


Key Laboratory of Eco-Environmental Geochemistry, Ministry of Natural Resources, National Research Center for Geoanalysis, Beijing 100037, China

Corresponding author: CEN Kuang, cenkuang@cugb.edu.cn

Received Date: 2020-01-01
Revised Date: 2020-06-04
Accepted Date: 2020-06-15


关键词: 泻湖沉积物, 黏土沉积物, 重金属活动态, 近红外光谱法, 偏最小二乘回归, 生态风险


(1) 建立沉积物Co、Ni、Cu、Zn、Cd、Pb活动态组分含量的主成分回归-近红外光谱(PLR-NIRS)预测模型。

Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk Assessment



Heavy metal elements in sediment can migrate in an active state under natural action, which has potential bioavailability and potential regional ecological risks. The use of near-infrared spectroscopy (NIRS) technology to study the response mechanism of samples of different matrices can provide a non-destructive and rapid analysis method for evaluating the active state of heavy metals and provide a basis for ecological risk research.


To reveal the characteristics of active metal elements in lagoonal wetland sediment and evaluate their ecological risk.


Sediment core and soil samples near by the drilling site were analyzed using both spectral and chemical method. NIR spectra of dry-freezed sample were collected by infrared spectrometer with integrating sphere. Based on the near infrared spectroscopy analysis technique, near infrared spectrum were collected by the integrating device within range of 4000-10000cm-1 (1000-2500nm), at the resolution of 2cm-1. Meanwhile the chemical mobile fractions of heavy metal elements were extracted from soil and sediment samples by diluted nitric acid, the dissolved concentrations of Co, Ni, Cu, Zn, Cd, Pb were determined by inductively coupled plasma-mass spectrometry (ICP-MS). With both chemical and spectral predicted value, the partial least squares regression prediction model had been developed and applied to determine mobile fraction of Co, Ni, Cu, Zn, Cd and Pb.


Area of absorption peaks at 7290-6390cm-1 and 4683-4000cm-1 related to O-H strentching along with AlAl-OH and Al(Mg)-OH bending indirectly indicate the active content of heavy metals. Spectral prediction results show that the changes in the active components of Co, Ni, Cu, Zn, Cd and Pb in the sediments of the Qilihai in the past 100 years corresponded to the three obvious changes from 1934 to 1948, 1956 to 1963, and 1976 to the present. The temperature increase also corresponded to large-scale human disturbances such as the construction of the Qilihai Reservoir in 1980.


The total and mobile fractions of Co, Ni, Cu, Zn, Cd and Pb in Qilihai sediments were lower than the ecological risk threshold specified in the national standard. The ecological risk of heavy metals released from wetlands towards nearby villages and farmland in the Qilihai catchment area was extremely low.

KEY WORDS: lagoonal sediment, clay sediment, heavy metals mobile fraction, near-infrared spectroscopy, partial least squares regression, ecological risk


(1) PLR-NIRS model was established for predicting mobile Co, Ni, Cu, Zn, Cd and Pb in clay sediments.



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尚文郁, 谢曼曼, 王淑贤, 孙青, 岑况