Data for: Metals and metalloids distribution, source identification, and ecological risks in riverbed sediments of the Jinsha River, China

Captions
S1. Positive matrix factorization (PMF) model
S2. Principal component analysis (PCA)
S3. Risk assessment method
S4. Sampling sites choice

Figure captions
Fig. S1 Land use of the Jinsha River Basin
Fig. S2 Principal score plots of (a) elements loading and (b) sediment samples in rotated space defined by first three principal components with Varimax rotation solution

Table captions
Table S1 The operation parameter of the PMF model for five-factor solution.
Table S2 Percentile concentrations and statistics of metal(loid)s in sediments and main characteristics of sediments from the Jinsha River.
Table S3 The exchangeable and carbonate fraction (%) of metal(loid)s in the Jinsha River.
Table S4 The evaluation criteria of different risk assessment methods.
Table S5 Pearson correlation coefficients r between metal(loid)s, and principal component factor scores and eigenvalues of metal(loid)s in the Jinsha River.
Table S6 Correlation coefficients between metal(loid)s and sediment physical-chemical indices.
Table S7 The number of national key mining companies of metal(loid)s in 2016 along the Jinsha River Basin (twelve cities included).
Table S8 Mean values of relative source contributions of PMF model and Relative area of land use in upstream, midstream and downstream of the Jinsha River.
Table S9 Cascade reservoirs of the Jinsha River.