Pregled bibliografske jedinice broj: 309133
Calculating and mapping soil heavy metal levels using CLS methodology
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.).
Peking: Tsinghua University Press, 2007. str. 91-92 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 309133 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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 - Peking : Tsinghua 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
Peking, Kina, 15.07.2007. - 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
Projekti:
178-1782221-0350 - Zaslanjivanje tla - dijagnostika, procesi i utjecaj na biljku (Romić, Davor, MZOS ) ( CroRIS)
178-1782221-2039 - PROSTORNA VARIJABILNOST TOKSIČNIH METALA U POLJOPRIVREDNIM TLIMA HRVATSKE (Romić, Marija, MZOS ) ( CroRIS)
Ustanove:
Agronomski fakultet, Zagreb
