Multiproxy Comprehensive Analysis for Source Apportionment and Pollution of Heavy Metals in Urban Drinking-water Source Soils from the Lanzhou Reach of the Yellow River

被引：0
作者：
Li, Jun [1 ,2 ]
Gao, Zhan-Dong [1 ]
Ma, Li-Bang [2 ]
Ma, Jing [1 ]
Zhang, Ming [1 ]
Ma, Xiao-Hong [2 ]
Zang, Fei [3 ]
Li, Xu [1 ]
机构：
[1] College of Urban Environment, Lanzhou City University, Lanzhou
[2] College of Geography and Environmental Science, Northwest Normal University, Lanzhou
[3] College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou
来源：
Huanjing Kexue/Environmental Science | 2024年 / 45卷 / 11期
关键词：
heavy metal; pollution assessment; soil; source apportionment; water source area;
D O I：
10.13227/j.hjkx.202311243
中图分类号：
学科分类号：
摘要：
To elucidate the pollution characteristics and sources of heavy metals in the soil of drinking water sources in urban areas of the Yellow River Basin，the soil in the water source areas for urban drinking water in the Lanzhou section of the Yellow River was selected as the research object. The content characteristics of heavy metals，including As，Cd，Cr，Hg，and Pb，were analyzed. The pollution degree of heavy metals was quantified systematically using the geo-accumulation index，contamination factor，pollution load index，and improved Nemerow comprehensive pollution index. Correlation-clustering analysis，the positive matrix factorization（PMF）model，and the absolute principal component scores-multiple linear regression（APCS-MLR）model were jointly applied to quantitatively analyze the pollution sources and their contribution rates of heavy metals. The results indicated that：① The soil in the water source areas for urban drinking water in Lanzhou was alkaline，and，with the exception of Cr，the average content of heavy metals in the soil，including As，Cd，Hg，and Pb，exceeded the background values of soil in Gansu Province. Particularly，Hg and Pb exhibited significant spatial distribution variations，indicative of strong anthropogenic influences. ② The overall pollution level of the water source area soil was mild，with Hg identified as the primary pollutant and localized pollution observed for As and Pb，whereas Cd and Cr showed no substantial contamination. ③ The enrichment of heavy metals in the water source area soil was influenced by a combination of industrial，traffic，coal combustion，and natural sources. The PMF model identified 41.40% as industrial-traffic sources，32.92% as coal combustion sources，and 25.68% as natural-industrial sources. The APCS-MLR model distinguished 36.36% as industrial-traffic sources，22.32% as coal-industrial sources，and 41.31% as natural sources. These findings provide a scientific basis for ensuring the health of soil in the water source areas and the safety of drinking water in the urban area of Lanzhou. © 2024 Science Press. All rights reserved.
引用
收藏
页码：6723 / 6733
页数：10
相关论文
共 51 条
  • [21] Mueller G., Schwermetalle in den sedimenten des rheins-veräenderungen seit 1971［J］, Umschau, 79, pp. 778-783, (1979)
  • [22] Khan S，, Naushad M，, Lima E C，, Et al., Global soil pollution by toxic elements： current status and future perspectives on the risk assessment and remediation strategies – A review［J］, Journal of Hazardous Materials, (2021)
  • [23] Hakanson L., An ecological risk index for aquatic pollution control. a sedimentological approach［J］, Water Research, 14, 8, pp. 975-1001, (1980)
  • [24] Yuan B, Du P，, Et al., Source-oriented probabilistic health risk assessment of soil potentially toxic elements in a typical mining city［J］, Journal of Hazardous Materials, (2023)
  • [25] Tomlinson D L，, Wilson J G，, Harris C R，, Et al., Problems in the assessment of heavy-metal levels in estuaries and the formation of a pollution index［J］, Helgoländer Meeresuntersuchungen, 33, 1-4, pp. 566-575, (1980)
  • [26] Shi R G, Gao H Y, Zhao Y J，, Et al., Assessment of pollution of heavy metal in soils of Tianjin suburb by a mixed weighted model based on GIS［J］, Journal of Agro-Environment Science, 25, S1, pp. 17-20, (2006)
  • [27] Santos-Frances F，, Martinez-Grana A，, Zarza C A，, Et al., Spatial distribution of heavy metals and the environmental quality of soil in the northern plateau of Spain by geostatistical methods ［J］, International Journal of Environmental Research and Public Health, 14, 6, (2017)
  • [28] Wei H B, Luo M, Wu K N，, Et al., Source analysis and risk assessment of heavy metal pollution in farmland soil in the Eastern Hebei plain［J］, Chinese Journal of Soil Science, 54, 2, pp. 462-472, (2023)
  • [29] Zhang W H, Et al., The sources-specific health risk assessment combined with APCS/MLR model for heavy metals in tea garden soils from south Fujian Province， China［J］, CATENA, (2021)
  • [30] Li J，, Li X，, Gao S G，, Et al., Contamination characteristics and source apportionment of potentially toxic elements in soil around the coal-fired power plant using APCS-MLR and PMF models［J］, Environmental Science, 44, 10, pp. 5689-5703, (2023)
123456