Geochemical and Statistical Analyses of Trace Elements in Lake Sediments from Qaidam Basin, Qinghai-Tibet Plateau: Distribution Characteristics and Source Apportionment

• Published in: International journal of environmental research and public health 2022-02, Vol.19 (4), p.2341
• Main Authors: He, Haifang, Wei, Haicheng, Wang, Yong, Wang, Lingqing, Qin, Zhanjie, Li, Qingkuan, Shan, Fashou, Fan, Qishun, Du, Yongsheng
• Format: Article
• Language: English
• Subjects: Acids; Anthropogenic factors; Aquatic ecosystems; Aquatic environment; China; Chromium; Clustering; Correlation coefficient; Correlation coefficients; Ecosystem; Environmental management; Environmental Monitoring - methods; Geologic Sediments - chemistry; Industrial development; Laboratories; Lake sediments; Lakes; Lakes - chemistry; Metals, Heavy - analysis; Neural networks; Plateaus; Pollutants; Pollution; Precipitation; Sediment samplers; Sediments; Self organizing maps; Statistical analysis; Statistical methods; Tibet; Tourism; Trace elements; Trace Elements - analysis; Vehicle emissions; Water management; Water Pollutants, Chemical - analysis; Zinc
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph19042341

The safety of lake ecosystems on the Qinghai-Tibet Plateau (QTP) has attracted increasing attention, owing to its unique location and ecological vulnerability. Previous studies have shown that the aquatic systems on the QTP have been polluted to varying degrees by trace elements. However, little is known of the distribution and sources of trace elements in lakes in the northeast QTP. Here, 57 sediment samples were collected from six lakes (Dasugan Lake, Xiaoqaidam Lake, Kreuk Lake, Toson Lake, Gahai Lake and Xiligou Lake) in the Qaidam Basin, northeast QTP, and the trace elements (V, Cr, Ni, Cu, Zn, As, Ba, Tl, Cd, Pb, and U) were analyzed. The results indicated that Ba, Zn, V, and Cr had a higher content and a wider distribution relative to the other tested elements. Correlation coefficient matrix results showed that the trace elements in the study area were strongly correlated, revealing their source of similarity. Self-organizing maps (SOM, an artificial neural network algorithm) results indicated that the degree of pollution in Xiaoqaidam Lake was the highest, and that of Dasugan Lake was the lowest. Furthermore, all sampling points were clustered into four categories through K-means clustering. The positive matrix factorization (PMF) results indicated that atmospheric deposition and anthropogenic inputs were the main trace elements sources in these lakes, followed by traffic emission and geological sources. Collectively, trace elements of six lakes in Qinghai-Tibet Plateau presented high-content and pollution characteristics. This research provides a scientific basis for better water environment management and ecological protection on the QTP.