Pregled bibliografske jedinice broj: 797839
Predicting free metal ion concentrations of Cd in uncontaminated Croatian soils by applying established regression models
Predicting free metal ion concentrations of Cd in uncontaminated Croatian soils by applying established regression models // The proceedings of the 11th International conference on the biogeochemistry of trace elements (ICOBTE)
Firenza : München, 2011. str. ----- (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 797839 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Predicting free metal ion concentrations of Cd
in uncontaminated Croatian soils by applying
established regression models
Autori
Ivezić, Vladimir ; Almas, Asgeir Rossebo ; Singh, Bal Ram
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
The proceedings of the 11th International conference on the biogeochemistry of trace elements (ICOBTE)
/ - Firenza : München, 2011, -----
Skup
The proceedings of the 11th International conference on the biogeochemistry of trace elements (ICOBTE)
Mjesto i datum
Firenca, Italija, 03.07.2011. - 07.07.2011
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
cadmium ; free metal ion ; modeling ; trace elements
Sažetak
Free metal ion (FMI) concentrations have recently been recognized as good indicators of plant metal availability. Several researchers have developed regression models predicting FMI concentrations of Cd in contaminated and slightly contaminated soils. We have extracted soil samples collected from uncontaminated soils located in eastern Croatia using H2O and determined the solution concentrations of Cd in these extracts. Free metal ion concentration of Cd was estimated using WHAM Model VI. We used these data to test the applicability of two regression models for the existing conditions. The same predictors used in two comparing models and the same regression coefficients were provided for the present study. The results showed a good correlation between the observed and predicted concentrations of FMI. However, the models overestimate FMI concentrations, and therefore the same regression coefficients were optimized to derive the best-fit model. This was found to be very successful and our predictions were following 1:1 regression line through zero, indicating no overestimations. The results showed that pH and M(tot) were significant in predicting FMI concentrations, while SOM was somewhat less significant. However, SOM was also included in our model as it was in two comparing models.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija), Šumarstvo
POVEZANOST RADA
Ustanove:
Fakultet agrobiotehničkih znanosti Osijek
Profili:
Vladimir Ivezić
(autor)