Hydrogeochemical characterization and water quality assessment in Altay, Xinjiang, northwest China.

The safety of drinking and irrigation water is an issue of great concern worldwide. The rational development and utilization of water resources are vital for the economic and societal stability of Altay, an extremely arid area. In this study, three types of water samples (25 river waters, 10 groundwaters, 6 lake waters) were collected from main rivers and lakes in Altay and analyzed for electrical conductivity, total dissolved solids, pH, major ions (i.e., K+, Na+, Ca2+, Mg2+, HCO3-, Cl-, SO42-, NO3-, NO2-, F-), and trace elements (i.e., Al, Li, B, Sc, Ti, Mn, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Mo, I, Ba, U). The water quality index (WQI), hazard quotient, carcinogenic risk, Na percentage, and Na adsorption ratio were then calculated to evaluate the water quality for drinking and irrigation. The results showed that the main hydrochemical type of river waters and groundwaters was Ca-HCO3, whereas that of lake water was mainly Na-SO4. The WQIs (9.39-170.69) indicated that the water quality in Altay ranged from poor to excellent. The concentrations of As, Ni, and U need to be carefully monitored since their average carcinogenic risks (for all waters collected, for adults) reached 0.05686, 0.06801, and 0.14527 and exceeded the safety risk levels (10-4-10-6) by at least 568 times, 680 times, and 1452 times, respectively. The result of Na% and SAR indicated that lake waters (with Na% of 62.92 and SAR of 41.63) and groundwaters (with Na% of 37.88 and SAR of 5.58) in Altay were unsuitable for irrigation, while river water (with Na% of 29.24 and SAR of 3.33) could meet the irrigation quality requirements. The results of this study could help promote reasonable water resource use among three types of waters and population protection in Altay.

[Enrichment Factors of Soil-Se in the Farmland in Shizuishan City, Ningxia].

Shizuishan is a typical exhausted resources-based city in the northern area of the Ningxia Hui autonomous region in China. In order to develop the planting industry of selenium (Se)-rich agricultural products and promote green and sustainable urban development and transformation, investigations on the quality of Se-rich land were carried out in Shizuishan City, where 7399 surface soil (0-20 cm) samples of farmlands, 30 atmospheric precipitation samples, and nine parent rocks were collected. By means of semi variogram model construction by GS+, Kriging interpolation in ArcGIS and statistics via SPSS, such as correlation analysis and mean-value analysis, the content, spatial distribution, and enrichment factors of Se-soil were analyzed. Further, the enrichment characteristics of soil Se in alkaline conditions were summarized. The results indicated that ω(Se) in surface soil was (0.26±0.12) mg·kg-1, and its spatial distribution was highly auto-correlated. The variation in Se content was related to natural factors. Along Helan Mountain, the content of Se in the surface soil was comparatively higher than that where coal mines were located. The parent rock was the principal factor that controlled the enrichment of soil Se. The physical and chemical properties of soil such as organic material, pH, and iron and manganese oxides had crucial effects on the enrichment of soil Se in a surficial environment. Compared to a strong alkaline environment, alkaline conditions were beneficial for the enrichment of Se in the surface soil.

Effects of lithium resource exploitation on surface water at Jiajika mine, China.

Heavy metal and metalloid (HMM) contamination of the water environment caused by mining activities is a great challenge to the global mining industry. HMMs released by various mines could easily enter the surrounding environment and pose serious threats to human health. Although the HMM pollution of surface water in various mines has been widely researched, relevant studies on the effects of mining activities on the surface water of hard-rock-type Li mines are scarce. Herein, a total of 81 water samples were collected from Jiajika mine for the first time, the largest hard-rock-type Li mine in Asia. The physical parameters and concentrations of HMMs and major ions of the samples were analyzed to evaluate the water quality and HMM level of surface water. Results showed that (1) most of the parameters analyzed adhered to the strictest guidelines of Chinese surface waters and the drinking water guidelines of WHO, except Mn, Pb, and As of a few samples from tailings-affected areas and Li-bearing areas; (2) mineral tailings obviously increased the pH and decreased the dissolved oxygen (DO) of the surrounding surface waters; (3) the highest concentrations of As (5.58 µg/L), Zn (81.8 µg/L), Ba (5.26 µg/L), and Co (0.33 µg/L) were observed around the tailings reservoir, whereas the highest concentrations of Cr (1.5 µg/L), Mn (380 µg/L), Pb (28.4 µg/L), and V (3.16 µg/L) were observed in Li-bearing areas; and (4) according to the statistical results, the concentrations of As, Cr, Ni, and V in surface water were mainly affected by mining activities, whereas those of Cu, Zn, Ba, Co, and Pb were dominantly affected by natural processes. These results provide useful information about water quality in relation to Li mining and can help the government make reasonable decisions regarding hard-rock-type Li resource exploitation activities.

[Reflectance characteristics of rare earth solution with different concentrations].

In the present paper, ten aqueous samples which contain-different concentrations of REE were collected in south Jiangxi province, and the reflectance spectra and the concentrations of REE were measured by analytical spectral devices (ASD) FieldSpec-3 reflectance spectroscopy and inductively coupled plasma mass spectrometry (ICP-MS), respectively. The results show that the spectra presented mix characteristics of pure water and rare earth oxide. In addition, six diagnostic absorption features caused by REE in visible and near-infrared wavelengths were detected. Then, relative absorption depths of the six absorption wavelength were calculated by the ratio spectra of sample spectra and pure water spectra. Finally, concentrations of total REE of ten samples and relative absorption depths of the six absorption wavelength were selected as two factors, and their relationship was perfectly described using linear regression analysis in which correlation coefficient was up to 96%-97%. The study provides a new method for quantitative estimation of different concentrations of dissolved REE in aqueous media, and strengthens theoretical basis for hyperspectral information extraction of REE.