Academic Journal
Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy
| العنوان: | Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy |
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| المؤلفون: | Hong, Yongsheng, Chen, Yiyun, Shen, Ruili, Chen, Songchao, Xu, Gang, Cheng, Hang, Guo, Long, Wei, Zushuai, Yang, Jian, Liu, Yaolin, Shi, Zhou, Mouazen, Abdul |
| المصدر: | ENVIRONMENTAL POLLUTION ; ISSN: 0269-7491 ; ISSN: 1873-6424 |
| سنة النشر: | 2021 |
| المجموعة: | Ghent University Academic Bibliography |
| مصطلحات موضوعية: | Earth and Environmental Sciences, Urban and suburban soil Cd contamination, Visible-to-near-infrared spectroscopy, Boruta algorithm, Synthetic minority over-sampling technique, Machine learning, DIFFUSE-REFLECTANCE SPECTROSCOPY, POTENTIALLY TOXIC ELEMENTS, HEAVY-METAL CONCENTRATIONS, NIR SPECTROSCOPY, ORGANIC-CARBON, QUANTITATIVE-ANALYSIS, RANDOM FOREST, HUMAN HEALTH, RIVER DELTA, PREDICTION |
| الوصف: | Previous studies have mostly focused on using visible-to-near-infrared spectral technique to quantitatively estimate soil cadmium (Cd) content, whereas little attention has been paid to identifying soil Cd contamination from a perspective of spectral classification. Here, we developed a framework to compare the potential of two spectral transformations (i.e., raw reflectance and continuum removal [CR]), three optimization strategies (i.e., full-spectrum, Boruta feature selection, and synthetic minority over-sampling technique [SMOTE]), and three classification algorithms (i.e., partial least squares discriminant analysis, random forest [RF], and support vector machine) for diagnosing soil Cd contamination. A total of 536 soil samples were collected from urban and suburban areas located in Wuhan City, China. Specifically, Boruta and SMOTE strategies were aimed at selecting the most informative predictors and obtaining balanced training datasets, respectively. Results indicated that soils contaminated by Cd induced decrease in spectral reflectance magnitude. Classification models developed after Boruta and SMOTE strategies out-performed to those from full-spectrum. A diagnose model combining CR preprocessing, SMOTE strategy, and RF algorithm achieved the highest validation accuracy for soil Cd (Kappa = 0.74). This study provides a theoretical reference for rapid identification of and monitoring of soil Cd contamination in urban and suburban areas. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | https://biblio.ugent.be/publication/8720112; http://hdl.handle.net/1854/LU-8720112; http://dx.doi.org/10.1016/j.envpol.2021.118128; https://biblio.ugent.be/publication/8720112/file/8720113 |
| DOI: | 10.1016/j.envpol.2021.118128 |
| الاتاحة: | https://biblio.ugent.be/publication/8720112 http://hdl.handle.net/1854/LU-8720112 https://doi.org/10.1016/j.envpol.2021.118128 https://biblio.ugent.be/publication/8720112/file/8720113 |
| Rights: | No license (in copyright) ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.F29B47C5 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.envpol.2021.118128 |
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