Uniform geochemical baselines can obscure natural variation among geological units, whereas local baselines may become unstable when sample sizes are limited. This study analyzed 209 agricultural topsoil samples from a geologically heterogeneous county for Cd, Hg, As, Pb, Cr, Cu, Ni, and Zn. Five baseline methods were compared, and county-wide, lithology-stratified, and soil-type-stratified reference frameworks were evaluated using breakpoint support, bootstrap stability, between-group differentiation, and classification changes. Cumulative probability analysis identified supported breakpoints for all eight elements, with ΔBIC values of 72.8–455.9 and valid bootstrap proportions of at least 99.2%. Lithology stratification showed stronger between-group differentiation than soil-type stratification and provided coverage by local baselines meeting the application criteria of 91.4% for seven elements and 71.3% for Cr. Local upper reference breakpoints differed from county-wide values by −80.4% to 191.2%, reclassifying 16.3–34.4% of samples. After adjustment for lithological group means, multi-element local deviations remained spatially autocorrelated, with Moran’s I = 0.112 and p = 0.003. Lithology-specific references identified samples whose classification depended on reference scale. They can support targeted investigation and differentiated management but should be used alongside risk-based regulatory thresholds.
No takes yet. Share an insight, caveat, or question.
Niu et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: