DTPA: The effects of extraction techniques on Cd, Cu, Ni, and Zn extraction from dredged materials and correlations with plant metal uptake

1982 ◽  
Vol 13 (2) ◽  
pp. 87-102 ◽  
Author(s):  
S. M. Combs ◽  
R. H. Dowdy
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Guillaume Lassalle ◽  
Sophie Fabre ◽  
Anthony Credoz ◽  
Rémy Hédacq ◽  
Dominique Dubucq ◽  
...  

AbstractMonitoring plant metal uptake is essential for assessing the ecological risks of contaminated sites. While traditional techniques used to achieve this are destructive, Visible Near-Infrared (VNIR) reflectance spectroscopy represents a good alternative to monitor pollution remotely. Based on previous work, this study proposes a methodology for mapping the content of several metals in leaves (Cr, Cu, Ni and Zn) under realistic field conditions and from airborne imaging. For this purpose, the reflectance of Rubus fruticosus L., a pioneer species of industrial brownfields, was linked to leaf metal contents using optimized normalized vegetation indices. High correlations were found between the vegetation indices exploiting pigment-related wavelengths and leaf metal contents (r ≤ − 0.76 for Cr, Cu and Ni, and r ≥ 0.87 for Zn). This allowed predicting the metal contents with good accuracy in the field and on the image, especially Cu and Zn (r ≥ 0.84 and RPD ≥ 2.06). The same indices were applied over the entire study site to map the metal contents at very high spatial resolution. This study demonstrates the potential of remote sensing for assessing metal uptake by plants, opening perspectives of application in risk assessment and phytoextraction monitoring in the context of trace metal pollution.


2013 ◽  
Vol 374 (1-2) ◽  
pp. 857-869 ◽  
Author(s):  
Zhu Li ◽  
Longhua Wu ◽  
Yongming Luo ◽  
Peter Christie

2017 ◽  
Vol 182 ◽  
pp. 166-179 ◽  
Author(s):  
Pablo Higueras ◽  
José María Esbrí ◽  
Efrén García-Ordiales ◽  
Beatriz González-Corrochano ◽  
Miguel Angel López-Berdonces ◽  
...  

Author(s):  
Petra S. Kidd ◽  
Vanessa Álvarez-López ◽  
Cristina Becerra-Castro ◽  
Maribel Cabello-Conejo ◽  
Ángeles Prieto-Fernández

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