Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution

Bifeng Hu, Songchao Chen, Jie Hu, Fang Xia, Junfeng Xu, Yan Li and Zhou Shi

PLOS ONE, 2017, vol. 12, issue 2, 1-13

Abstract: Rapid heavy metal soil surveys at large scale with high sampling density could not be conducted with traditional laboratory physical and chemical analyses because of the high cost, low efficiency and heavy workload involved. This study explored a rapid approach to assess heavy metals contamination in 301 farmland soils from Fuyang in Zhejiang Province, in the southern Yangtze River Delta, China, using portable proximal soil sensors. Portable X-ray fluorescence spectroscopy (PXRF) was used to determine soil heavy metals total concentrations while soil pH was predicted by portable visible-near infrared spectroscopy (PVNIR). Zn, Cu and Pb were successfully predicted by PXRF (R2 >0.90 and RPD >2.50) while As and Ni were predicted with less accuracy (R2

Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0172438 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 72438&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0172438

DOI: 10.1371/journal.pone.0172438

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().