Source identification and apportionment of heavy metals in urban soil profiles

Simulation of changes in heavy metal contamination in farmland soils of a typical manufacturing center through logistic-based cellular automata modeling

“…The pollution probability of farmland in an area near the town center was estimated to be 1.761 times as large as that of farmland in an area 1 unit farther from the town center. This finding can be attributed to industrial emissions, domestic wastes, and fossil fuel combustion in the town center where long-term industrialization and rapid urbanization occurred (Luo et al 2015;Szolnoki et al 2013). The variables distance from the city center (the development center) and distance from the town center (the secondary development center) shared different relationships to the pollution probability.…”

Modelling drivers and distribution of lead and zinc concentrations in soils of an urban catchment (Sydney estuary, Australia)

“…Numerous studies have determined traffic and roads as important influencing factors of heavy metal soil contamination (Birch et al, 2011;Luo et al, 2015;Sun et al, 2010), especially prior to the ban on leaded petrol. Contaminants resulting from traffic and roads may be distributed from the source not only through runoff, but also via atmospheric deposition (Nabulo et al, 2006;Sabin et al, 2006), supporting the significance of the 'distance to main roads' predictor within the model.…”

Sources and geochemical background of potentially toxic metals in surface sediments from the Zhejiang coastal mud area of the East China Sea

“…Currently, source identification of potentially toxic metals is mostly conducted by calculating the enrichment factor to classify natural and anthropogenic origins (Xu et al, 2014;Luo et al, 2015), or by means of multivariate analysis to group natural and key anthropogenic input types (Yuan et al, 2004;Mamat et al, 2014;Luo et al, 2015;Soltani et al, 2015).…”