Spatial patterns and variation of soil cadmium in Guangdong Province, China

Soil threshold values of total and available cadmium for vegetable growing based on field data in Guangdong province, South China

“…The whole area is characterised by a sub‐tropical monsoon climate with a mean annual precipitation of 1336 mm and mean annual evaporation of 1100 mm. The mean annual temperature is 21.1 °C and mean annual duration of sunshine is 1828 h. The soil profile is typical Al‐enriched weathering profile developed on a variety of rocks, such as granite, sandshale, limestone and basalt, with granite the most extensive parent rock (accounting for more than 40% of the Guangdong area) . Because of the intensive eluviation and illuviation in the hydrothermal conditions of the study area, the soil profiles are deficient in soluble salt, alkali metal, and alkali‐earth metal, but rich in Fe and Al oxides and H + …”

“…Due to its particular geographical position and warm climate, Guangdong province is an important vegetable base in South China, particularly for vegetable supply in winter. However, soil quality deterioration has been reported in recent years due to the contamination from factory waste and improper application of agricultural chemicals, thus bringing a great threat to safe vegetable production. In the present study, a high‐density sampling of 711 paired soil and vegetable samples was carried out in the main vegetable production areas in Guangdong.…”

Digital Mapping of Toxic Metals in Qatari Soils Using Remote Sensing and Ancillary Data

“…The elevation map was resampled to a grid size of 30 m using simple mean aggregation. The selection of these parameters was based, in addition to our field observations, on their use in several predictive models of toxic metals and the variation in analogous (prevailing in arid environments) or similar environmental conditions [17,21]. The scanned geological map of Qatar at the 1:36,000 scale [38] was used to delineate various lithological Qatari formations together with the geological structures.…”

“…For human and ecological risk assessment, the prediction of toxic metals accumulation in soils has been determined using a variety of geostatistical methods and environmental data at various scales [15][16][17][18][19][20][21][22]. Lado et al [16] used regression-kriging with a large number of auxiliary variables (1-km resolution) as predictors (e.g., land cover, geology, night-lights images) to model and map the distribution of eight toxic metals (As, Cd, Cr, Cu, Hg, Ni, Pb, Zn) for the topsoil in Europe.…”

Spatio-Temporal Change and Pollution Risk of Agricultural Soil Cadmium in a Rapidly Industrializing Area in the Yangtze Delta Region of China

“…Information on the spatial patterns of soil Cd is important, because it can serve as a basis for risk assessment, soil remediation, and effective management recommendations. Although large-scale spatial distribution patterns of soil Cd were mainly governed by natural factors such as geological setting and parent material [3,4], anthropogenic factors such as industrial activities [5,6], agricultural management practices [7,8], and the urbanization process [9,10] were often the primary reasons for the local-scale Cd anomaly patterns. For example, the spatial distribution patterns of Cd in agricultural soils of Europe were mainly governed by geology, whilst the natural anomaly patterns in several local areas were overprinted by anthropogenic emissions from former mining, ore processing and related metal industries [3].…”