Feasibility of using visible and near-infrared reflectance spectroscopy to monitor heavy metal contaminants in urban lake sediment
文献类型：期刊论文
| 作者 | Jiang, Qinghu1; Liu, Minxia1,2; Wang, Jun1; Liu, Feng1 |
| 刊名 | CATENA
 |
| 出版日期 | 2018-03-01 |
| 卷号 | 162页码:72-79 |
| 关键词 | Heavy metal Urban lake sediments Visible and near-infrared reflectance spectroscopy Spectral feature selection Predictive mechanism |
| ISSN号 | 0341-8162 |
| DOI | 10.1016/j.catena.2017.11.020 |
| 英文摘要 | Contamination of urban lake sediments by heavy metals is a major threat to environmental safety and human health due to its high toxicity and persistence. This paper aims to examine the feasibility of using visible and near-infrared reflectance spectroscopy (VNIRS) to rapidly quantify heavy metals (i.e., As, Cd, Cr, Cu, Hg, Ni, Pb and Zn) in urban lake sediments. Lake sediment samples (n = 103) were collected from the East Lake in Wuhan, China. Partial least squares regression (PLSR) calibration models were developed for the heavy metals estimation. Genetic algorithm (GA) and competitive adaptive reweighted sampling (CARS) were compared to test whether spectral feature selection could improve heavy metals predications or not. Correlation analysis was carried out to gain better understanding of the predictive mechanism for the assessment of the heavy metals in sediments using VNIRS. PLSR calibration models showed that Cd, Hg, Ni and Pb had acceptable model prediction (with r(cv)(2) values range from 0.32 to 0.40), while model results for As, Cr, Cu and Zn were unsatisfactory (with r(cv)(2) values of 0.01-0.06). These different accuracies were likely caused by the different relationships between heavy metals and spectrally-active constitutes (e.g., total organic carbon, TOC). When compared with full-spectrum PLSR models, GA-PLSR and CARS-PLSR models slightly increased the accuracies by remove uninformative spectral variables. Given these undesired practices, this study demonstrated that VNIRS should not be recommended for heavy metals estimation in urban lake sediment. The inherent correlations between heavy metals and spectrally-active constitutes (e.g., TOC) rather than modeling method (e.g., feature selection algorithms) were critical for the limited heavy metals estimation using VNIRS. |
| 资助项目 | Chinese National Key Development Program for Basic Research[2014CB954004] ; Natural Science Foundation of China[31600377] ; Chinese Academy of Sciences |
| WOS研究方向 | Geology ; Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000423004800008 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://202.127.146.157/handle/2RYDP1HH/4516]  |
| 专题 | 中国科学院武汉植物园 |
| 通讯作者 | Liu, Feng |
| 作者单位 | 1.Chinese Acad Sci, Wuhan Bot Garden, Key Lab Aquat Bot & Watershed Ecol, Wuhan 430074, Hubei, Peoples R China 2.Shanxi Agr Univ, Coll Forestry, Taigu 030801, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Qinghu,Liu, Minxia,Wang, Jun,et al. Feasibility of using visible and near-infrared reflectance spectroscopy to monitor heavy metal contaminants in urban lake sediment[J]. CATENA,2018,162:72-79. |
| APA | Jiang, Qinghu,Liu, Minxia,Wang, Jun,&Liu, Feng.(2018).Feasibility of using visible and near-infrared reflectance spectroscopy to monitor heavy metal contaminants in urban lake sediment.CATENA,162,72-79. |
| MLA | Jiang, Qinghu,et al."Feasibility of using visible and near-infrared reflectance spectroscopy to monitor heavy metal contaminants in urban lake sediment".CATENA 162(2018):72-79. |
入库方式： OAI收割
来源：武汉植物园
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