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Pregled bibliografske jedinice broj: 309133

Calculating and mapping soil heavy metal levels using CLS methodology


Romić, Marija; Hengl, Tomislav; Romić, Davor
Calculating and mapping soil heavy metal levels using CLS methodology // Proceedings of the 9th International Conference on the Biogeochemistry of Trace Elements in the Environment / Yongguan Zhu, Nicolas Lepp and Ravi Naidu (ur.).
Bei Jing: Tsingua University Press, 2007. str. 91-92 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Calculating and mapping soil heavy metal levels using CLS methodology

Autori
Romić, Marija ; Hengl, Tomislav ; Romić, Davor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 9th International Conference on the Biogeochemistry of Trace Elements in the Environment / Yongguan Zhu, Nicolas Lepp and Ravi Naidu - Bei Jing : Tsingua University Press, 2007, 91-92

ISBN
978-7-302-15627-7

Skup
Biogeochemistry of Trace Elements in the Environment: Environmental Protection, Remediation and Human Health

Mjesto i datum
Beijing, Kina, 15. 07. - 19. 07. 2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Agricultural land; geostatistics; health risk assessment; regression kriging; spatial variability

Sažetak
In this paper, soil heavy metal levels were calculated and mapped using CLS (Cumulative Limitation Scores) methodology. The procedure is based on interpolation heavy metal concentrations using numerous environmental predictors, followed by representing cumulative soil polution by limitation scores. The method was applied to an area of urban and peri-urban agricultural land with the aim of (i) determine spatial variability and main anthropogenic sources of soil heavy metals, and (ii) identify the areas of special concern by mapping the cumulative soil contamination by heavy metals. The data on topsoil (0-20 cm) Cd, Cr, Cu, Ni, Pb and Zn aqua regia extractable concentrations were used. Statistical and spatial analysis tools were utilised in order to combine the quantitative information obtained from the chemical analysis of the soil samples with the area-specific qualitative information. For spatial interpolation of heavy metals the regression block kriging was applied. Statistical analysis of interpolated maps confirmed that all studied heavy metals were correlated with correlation coefficient (r) ranging from 0.24 to 0.72. This study was shown that in the Zagreb region, 7.2% of the total area is critically polluted by one or more heavy metals. The procedure is suitable in many decision situations, especially for making decisions about soil remediation, health risk assessment or contaminated land management in general.

Izvorni jezik
Engleski

Znanstvena područja
Geologija, Poljoprivreda (agronomija)



POVEZANOST RADA


Projekt / tema
178-1782221-0350 - Zaslanjivanje tla - dijagnostika, procesi i utjecaj na biljku (Davor Romić, )
178-1782221-2039 - PROSTORNA VARIJABILNOST TOKSIČNIH METALA U POLJOPRIVREDNIM TLIMA HRVATSKE (Marija Romić, )

Ustanove
Agronomski fakultet, Zagreb