caa a22 4500 605465681 CHVBK 20210128100303.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s00769-015-1109-4 doi (NATIONALLICENCE)springer-10.1007/s00769-015-1109-4 Assessing soil sampling uncertainty in heterogeneous historic metal ore mining sites [Elektronische Daten] [Sabina Dołęgowska, Agnieszka Gałuszka, Zdzisław Migaszewski] Eighteen duplicate, composite soil samples from heterogeneous remote historic metal ore mining sites (Miedzianka Mt. and Karczówka Mt., south-central Poland) were analyzed twice for As, Cd, Co, Cr, Cu, Mn, Ni, Pb and Zn by the ICP-MS method after aqua regia extraction. Subsequently, the results were tested for normality. The sampling uncertainty [expressed as the relative standard deviations rsamp (%)] was computed using three different methods: ANOVA, RANOVA and range statistics. However, it was possible to use all three methods only for Cr and Pb (Miedzianka) and for Co (Karczówka). The obtained values were in the ranges of: 15.6-16.0% for Cr, 17.0-20.2% for Co and 24.6-38.7 % for Pb. The sampling uncertainty for these elements that revealed non-normally distributed data was calculated using the robust ANOVA. The results varied from 12.1% (As) to 31.9% (Ni) in soils from Karczówka, and from 9.2% (Co) to 35.9% (Cu) in soils from Miedzianka. The highest s rsamp values exceeding 20% were noted for Cd (31.9%) and Ni (26.0%) in soils from Karczówka, and for Cu (20.5%) and Mn (35.9%) in soils from Miedzianka. Because traditional methods of transformation were insufficient to reduce non-normality, the Box-Cox model was applied to these four elements. The sampling uncertainty, computed for transformed data with a one-way ANOVA method, was as follows: 20.1% (Cd), 7.3% (Ni), 4.6% (Cu) and 4.6% (Mn) and for back-transformed data: 39.7% (Cd), 12.8% (Ni), 7.4% (Cu) and 12.4% (Mn). The sampling uncertainty was lower compared to the values calculated with raw data, but the interpretation of results obtained was problematic. Springer-Verlag Berlin Heidelberg, 2015 Uncertainty nationallicence Soil samples nationallicence Heterogeneity nationallicence Transformation nationallicence Dołęgowska Sabina Geochemistry and the Environment Division, Institute of Chemistry, Jan Kochanowski University, 15G Świętokrzyska St., 25-406, Kielce, Poland aut Gałuszka Agnieszka Geochemistry and the Environment Division, Institute of Chemistry, Jan Kochanowski University, 15G Świętokrzyska St., 25-406, Kielce, Poland aut Migaszewski Zdzisław Geochemistry and the Environment Division, Institute of Chemistry, Jan Kochanowski University, 15G Świętokrzyska St., 25-406, Kielce, Poland aut Accreditation and Quality Assurance Springer Berlin Heidelberg 20/3(2015-06-01), 163-170 0949-1775 20:3<163 2015 20 769 https://doi.org/10.1007/s00769-015-1109-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00769-015-1109-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Dołęgowska Sabina Geochemistry and the Environment Division, Institute of Chemistry, Jan Kochanowski University, 15G Świętokrzyska St., 25-406, Kielce, Poland aut NATIONALLICENCE 700 1- Gałuszka Agnieszka Geochemistry and the Environment Division, Institute of Chemistry, Jan Kochanowski University, 15G Świętokrzyska St., 25-406, Kielce, Poland aut NATIONALLICENCE 700 1- Migaszewski Zdzisław Geochemistry and the Environment Division, Institute of Chemistry, Jan Kochanowski University, 15G Świętokrzyska St., 25-406, Kielce, Poland aut NATIONALLICENCE 773 0- Accreditation and Quality Assurance Springer Berlin Heidelberg 20/3(2015-06-01), 163-170 0949-1775 20:3<163 2015 20 769