Geochemical characteristics and spatial variability of heavy metals in the soils of the Zhezkazgan region

Document Type : Research Paper

Authors

1 LLP “ECOSERVICE-S”, Almaty, Kazakhstan

2 Al-Farabi Kazakh National University, Faculty of Geography and Environmental Sciences, UNESCO Chair for Sustainable Development, Almaty, Kazakhstan

3 Al-Farabi Kazakh National University, Faculty of Geography and Environmental Sciences, Department of Meteorology and Hydrology, Almaty, Kazakhstan

10.22124/cjes.2026.9504

Abstract

The Dzhezkazgan region of Kazakhstan, with a long history of copper mining and smelting, is known as a potential heavy metal contaminated site. This study aimed to investigate the geochemical characteristics, assess the degree of contamination, and analyze the spatial variability of heavy metals in surface soils of this region. A total of 50 soil samples were collected from a depth of 0-20 cm based on a systematic grid. The total concentration of heavy metals (copper, lead, zinc, nickel, arsenic, cadmium, chromium, and cobalt) was measured using X-ray fluorescence spectrometry. Geoaccumulation, pollution load, and potential ecological risk indices were used to assess contamination and risk. Multivariate statistical analyses and geostatistical methods (variogram and kriging) were used to identify the origin of metals and to map their spatial distribution, respectively. The results showed that the average concentrations of copper (3.452 mg kg-1) and lead (5.98 mg kg-1) were 15 and 4.9 times the background concentrations of the area, respectively. The geoaccumulation index classified the soil contamination as “moderate to severe” for copper and “moderate” for lead and arsenic. The total potential ecological risk index (8.623) placed the area at “high ecological risk”. Principal component analysis showed that copper, lead, zinc and arsenic had a common anthropogenic origin related to mining activities, while nickel and chromium showed a geological origin. Variogram analysis indicated a strong spatial structure for copper (nugget/flood ratio: 25%) with an influence range of 3.5 km. The equivalent maps obtained by Kriging interpolation showed a steep gradient of decreasing concentration by elevating distance from the main smelter, such that the copper concentration decreased from 1850 mg kg-1 in the vicinity of the source to 50 mg kg-1 at a distance of 14 km. As a result, the soils of the Zhezkazgan region have experienced widespread and severe contamination by heavy metals, especially copper, the spatial pattern of which is mainly controlled by atmospheric emissions from industrial fixed points.

Keywords


Abliz, A, SHI, Q & Abulizi, A 2022, Contamination status and health risk assessment of soil heavy metals in the northern slope of Eastern Tianshan Mountains industrial belt in Xinjiang, Northwest China. Forests, 13(11): 1914, https://doi.org/10.3390/f13111914.
Antoniadis, V, Shaheen, SM, Levizou, E, Shahid, M, Niazi, NK, Vithanage, M, Ok, YS, Bolan, N & Rinklebe, J   2019, A critical prospective analysis of the potential toxicity of trace element regulation limits in soils worldwide: Are they protective concerning health risk assessment? A review. Environment International, 127: 819-847, https://doi.org/10.1016/j.envint.2019.01.026.
Asaiduli, H, Abliz, A, Abulizi, A, Sun, X & Ye, P 2023, Assessment of soil heavy metal pollution and health risks in different functional areas on the northern slope of the Eastern Tianshan Mountains in Xinjiang, NW China. International Journal of Environmental Research and Public Health, 20(6): 4843, https://doi.org/ 10.3390/ijerph20064843.
Hou, D, O’Connor, D, Igalavithana, AD, Alessi, DS, Luo, J, Tsang, DCW, Sparks, DL, Yamauchi, Y, Rinklebe, J & Ok, YS 2020, Metal contamination and bioremediation of agricultural soils for food safety and sustainability. Nature Reviews Earth & Environment, 1(7): 366-381, https://doi.org/10.1038/s43017-020-0061-y.
Huang, Y, Chen, Q, Deng, M, Japenga, J, Li, T, Yang, X & He, Z 2018, Heavy metal pollution and health risk assessment of agricultural soils in a typical peri-urban area in southeast China. Journal of Environmental Management, 207: 159-168, https://doi.org/10.1016/j.jenvman.2017.10.072.
Huang, Y, Wang, L, Wang, W, Li, T & He, Z 2019, Current status of agricultural soil pollution by heavy metals in China: A meta-analysis. Science of The Total Environment, 651: 3034–3042, https://doi.org/10.1016/ j.scitotenv.2018.10.185.
Ibragimova, F, Kalenderova, G, Kalmuratova, B, Okhunova, M, Kholmuradova, Z, Ikramova, F & Axmedov, N   2025, The association between gut microbiota-derived metabolites and arterial stiffness in hypertensive patients. Revista Latinoamericana de Hipertensión, 20(11): 818-824, https://doi.org/ 10.5281/zenodo.17925018.
Kabata-Pendias, A 2010, Trace elements in soils and plants (4th ed.). CRC Press.
Kormoker, T, Proshad, R, Islam, S, Ahmed, S, Chandra, K, Uddin, M & Rahman, M 2021, Toxic metals in agricultural soils near the industrial areas of Bangladesh: Ecological and human health risk assessment. Toxin Reviews, 40(4): 1135-1154, https://doi.org/10.1080/15569543.2019.1650777.
Li, K, Wang, J & Zhang, Y 2022, Heavy metal pollution risk of cultivated land from industrial production in China: Spatial pattern and its enlightenment. Science of The Total Environment, 828: 154382, https://doi.org/ 10.1016/j.scitotenv.2022.154382.
Liu, J, Kang, H, Tao, W, Li, H, He, D, Ma, L, Tang, H, Wu, S, Yang, K & Li, X 2022, A spatial distribution–principal component analysis (SD-PCA) model to assess pollution of heavy metals in soil. Science of The Total Environment, 11: 160112, https://doi.org/10.1016/j.scitotenv.2022.160112.
Ma, T, Zhang, Y, Hu, Q, Han, M, Li, X, Zhang, Y, Li, Z & Shi, R 2022, Accumulation characteristics and pollution evaluation of soil heavy metals in different land use types: Study on the whole region of Tianjin. International Journal of Environmental Research and Public Health, 19(16): 10013, https://doi.org/10.3390/ijerph191610013.
Mamat, Z, Zhang, Z, Mamat, A, Zhang, F & Chen, Y 2020, Pollution assessment and health risk evaluation of eight (metalloid) heavy metals in farmland soil of 146 cities in China. Environmental Geochemistry and Health, 42(11): 3949-3963, https://doi.org/10.1007/s10653-020-00634-y.
Marguí, E, Queralt, I & de Almeida, E 2022, X-ray fluorescence spectrometry for environmental analysis: Basic principles, instrumentation, applications and recent trends. Chemosphere, 303: 135006. https://doi.org/10.1016/j.chemosphere.2022.135006.
Ravansari, R, Wilson, SC & Tighe, M 2020, Portable X-ray fluorescence for environmental assessment of soils: Not just a point and shoot method. Environment International, 134: 105250. https://doi.org/10.1016/j.envint.2019.105250.
Rouillon, M & Taylor, MP   2016, Can field portable X-ray fluorescence (pXRF) produce high quality data for application in environmental contamination research? Environmental Pollution, 214: 255-264, https://doi.org/10.1016/j.envpol.2016.03.055.
Sun, L, Guo, D, Liu, K, Meng, H, Zheng, Y, Yuan, F & Zhu, G 2019, Levels, sources, and spatial distribution of heavy metals in soils from a typical coal industrial city of Tangshan, China. CATENA, 175: 101–109, https://doi.org/10.1016/j.catena.2018.12.014.
Tavares, TR, Molin, JP, Javadi, SH, de Carvalho, HWP & Mouazen, AM 2020, Combined use of vis-NIR and XRF sensors for tropical soil fertility analysis: Assessing different data fusion approaches. Sensors, 21(1): 148, https://doi.org/10.3390/s21010148.
Tian, X, Xie, Q, Fan, M, Chai, G & Li, G 2022, Identification of heavy metal pollutants and their sources in farmland: An integrated approach of risk assessment and X-ray fluorescence spectrometry. Scientific Reports, 12(1): 11400, https://doi.org/10.1038/s41598-022-16177-4.
Vanhoof, C, Bacon, JR, Fittschen, UEA & Vincze, L 2021, Atomic spectrometry update – a review of advances in X-ray fluorescence spectrometry and its special applications. Journal of Analytical Atomic Spectrometry, 36(9): 1797-1812, https://doi.org/10.1039/D1JA90033A.
Wang, C, Zhang, Q, Kang, S, Li, M, Zhang, M, Xu, W, Xiang, P & Ma, LQ 2023, Heavy metal(loid)s in agricultural soil from main grain production regions of China: Bioaccessibility and health risks to humans. Science of The Total Environment, 858: 159819, https://doi.org/10.1016/j.scitotenv. 2022.159819.
Wuana, RA & Okieimen, FE 2011, Heavy metals in contaminated soils: A review of sources, chemistry, risks and best available strategies for remediation. ISRN Ecology, 2011: 402647, https://doi.org/10.5402/2011/402647.
Yang, H, Li, R, Li, J, Guo, Y, Gao, T, Guo, D & Zhang, Q 2023, Changes of heavy metal concentrations in farmland soils affected by non-ferrous metal smelting in China: A meta-analysis. Environmental Pollution, 336: 122460, https://doi.org/10.1016/j.envpol.2023.122460.
Zhang, H, Yin, S, Chen, Y, Shao, S, Wu, J, Fan, M, Chen, F & Gao, C 2020, Machine learning-based source identification and spatial prediction of heavy metals in soil in a rapid urbanization area, eastern China. Journal of Cleaner Production, 273: 122858, https://doi.org/10.1016/j.jclepro. 2020.122858.
Zhao, FJ, Ma, Y, Zhu, YG, Tang, Z & McGrath, SP 2015, Soil contamination in China: Current status and mitigation strategies. Environmental Science & Technology, 49(2): 750-759, https://doi.org/ 10.1021/es5047099.