Geochemical element data of different saline soil types in the Tarim River Basin, Northwest China
Description
This dataset contains the geochemical composition of 141 surface soil samples (0–5 cm depth) collected from the Tarim River Basin, Northwest China. The samples represent various land-use types categorized by the degree of human intervention, including unused saline–alkali land (with and without vegetation), lightly disturbed riparian zones (reed wetlands and Populus euphratica forests), and intensively modified agricultural land (newly reclaimed and long-term cultivated farmland). For each of the 141 samples, the dataset provides: Major oxide concentrations (wt%): SiO₂, Al₂O₃, Fe₂O₃, CaO, MgO, K₂O, and Na₂O. Trace element concentrations (mg/kg): S, Cl, P, V, Cr, Co, Ni, Cu, Zn, Mn, As, Pb, Sb, Rb, Sr, and Ba. Metadata: Sample IDs, geographical coordinates (latitude/longitude), and land-use classifications. These data were generated to evaluate how human activities (such as land reclamation, irrigation, and fertilization) have influenced soil salinization and geochemical cycling in arid terminal river basins. This dataset supports the findings of the study "Human activities have reduced soil salinization in the Tarim River Basin, Northwest China".
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Steps to reproduce
Coarse gravel (> 2 mm) and artificial contaminants were removed before analysis. Samples (20 g) were oven-dried at 50 ℃ for 24 h and subsequently pulverized in an agate mill to a particle size < 75 μm. A 4 g portion of this powder was then pressed at 30 t to form a 32-mm diameter pellet . Major oxides (SiO₂, Al2O3, Fe2O3, CaO, MgO, K₂O, Na2O) and trace elements (S, Cl, P,V, Cr, Co, Ni, Cu, Zn, Mn, As, Pb, Sb, Rb, Sr, Ba) of these samples were measured with an Axios wavelength dispersive X-ray fluorescence spectrometer, using a super-long, sharp-pointed ceramic X-ray light tube (4-kW power) and a pipe flow of 160 mA, with analytical error < 5% . Calibration curves were established using Chinese reference soil samples (GSS01–GSS16). Standard samples were measured to control data quality the results meet XRF test requirements.
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Funders
- National Natural Science Foundation of ChinaBeijing, Beijing