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Heavy metal soil contamination detection using combined geochemistry and field spectroradiometry in the United Kingdom

Lamine Salim, Petropoulos Georgios, Brewer Paul A., Bachari Nour El Islam, Srivastava Prashant K., Manevski Kiril, Kalaitzidis, Chariton, Macklin, Mark G

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URIhttp://purl.tuc.gr/dl/dias/126777E0-3C3A-46EB-B6D0-461C9643B271-
Identifierhttps://doi.org/10.3390/s19040762-
Identifierhttps://www.mdpi.com/1424-8220/19/4/762-
Languageen-
Extent16 pagesen
TitleHeavy metal soil contamination detection using combined geochemistry and field spectroradiometry in the United Kingdomen
CreatorLamine Salimen
CreatorPetropoulos Georgiosen
CreatorΠετροπουλος Γεωργιοςel
CreatorBrewer Paul A.en
CreatorBachari Nour El Islamen
CreatorSrivastava Prashant K.en
CreatorManevski Kirilen
CreatorKalaitzidis, Charitonen
CreatorMacklin, Mark Gen
PublisherMDPIen
Content SummaryTechnological advances in hyperspectral remote sensing have been widely applied in heavy metal soil contamination studies, as they are able to provide assessments in a rapid and cost-effective way. The present work investigates the potential role of combining field and laboratory spectroradiometry with geochemical data of lead (Pb), zinc (Zn), copper (Cu) and cadmium (Cd) in quantifying and modelling heavy metal soil contamination (HMSC) for a floodplain site located in Wales, United Kingdom. The study objectives were to: (i) collect field-and lab-based spectra from contaminated soils by using ASD FieldSpec® 3, where the spectrum varies between 350 and 2500 nm; (ii) build field-and lab-based spectral libraries; (iii) conduct geochemical analyses of Pb, Zn, Cu and Cd using atomic absorption spectrometer; (iv) identify the specific spectral regions associated to the modelling of HMSC; and (v) develop and validate heavy metal prediction models (HMPM) for the aforementioned contaminants, by considering their spectral features and concentrations in the soil. Herein, the field-and lab-based spectral features derived from 85 soil samples were used successfully to develop two spectral libraries, which along with the concentrations of Pb, Zn, Cu and Cd were combined to build eight HMPMs using stepwise multiple linear regression. The results showed, for the first time, the feasibility to predict HMSC in a highly contaminated floodplain site by combining soil geochemistry analyses and field spectroradiometry. The generated models help for mapping heavy metal concentrations over a huge area by using space-borne hyperspectral sensors. The results further demonstrated the feasibility of combining geochemistry analyses with filed spectroradiometric data to generate models that can predict heavy metal concentrations.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2020-09-08-
Date of Publication2019-
SubjectFloodplainen
SubjectHeavy metalsen
SubjectHyperspectral dataen
SubjectRegression modellingen
SubjectSoil spectral libraryen
Bibliographic CitationS. Lamine, G.P. Petropoulos, P.A. Brewer, N.-E.-I. Bachari, P.K. Srivastava, K. Manevski, C. Kalaitzidis and M.G. Macklin, "Heavy metal soil contamination detection using combined geochemistry and field spectroradiometry in the United Kingdom," Sensors, vol. 19, no. 4, Feb. 2019. doi: 10.3390/s19040762en

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