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Fig 1.

Spatial-temporal distribution of driving factors (a: Zr; b: Temperature; c: Precipitation; d: pH; e: Corg (organic carbon); f: NDVI; g: Industrial pollutants; h: Domestic pollutants; i: Agricultural pollutants; j: Deposit density; Ⅰ for CGB Ⅰ; Ⅱ for CGB Ⅱ).

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Fig 1 Expand

Table 1.

Descriptive statistical analysis of Cd.

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Table 1 Expand

Fig 2.

Guangxi Cd geochemical maps (a: CGB Ⅰ, b: CGB Ⅱ).

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Fig 2 Expand

Table 2.

Fitting parameters of GTWR.

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Table 2 Expand

Fig 3.

Coefficients of driving factors (Tem.: Temperature; Ele.: Elevation; GB: Geological background; DD: Deposit density; IP: Industrial pollutants; DP: Domestic pollutants; AP: Agricultural pollutants; (a) Strongly Cd-enriched area for CGB I; (b) Moderately Cd-enriched area for CGB I; (c) Cd background area for CGB I; (d) Strongly Cd-enriched area for CGB II; (e) Moderately Cd-enriched area for CGB II; (f) Cd background area for CGB II).

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Fig 3 Expand

Fig 4.

a: Concentrations of Cd and Zr in different rocks and soils; b: median Cd.

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Fig 4 Expand

Fig 5.

Spatial variability of regression coefficients in GTWR model (a: Geological background; b: Elevation; c: Temperature; d: Precipitation; e: pH; f: Corg; g: NDVI; h: deposit density; i: Industrial pollutants; j: Agricultural pollutants; k: Domestic pollutants; Ⅰ for CGB Ⅰ; Ⅱ for CGB Ⅱ).

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Fig 5 Expand