Distribution, source apportionment, and assessment of heavy metal pollution in the Yellow River Basin, Northwestern China

Cheng Ma , Menglu Wang , Qian Li , Mohammadtaghi Vakili , Yijing Zhang , Shengqiang Hei , Li Gao , Wei Wang , Dengchao Liu

Front. Environ. Sci. Eng. ›› 2025, Vol. 19 ›› Issue (2) : 16

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Front. Environ. Sci. Eng. ›› 2025, Vol. 19 ›› Issue (2) : 16 DOI: 10.1007/s11783-025-1936-4
RESEARCH ARTICLE

Distribution, source apportionment, and assessment of heavy metal pollution in the Yellow River Basin, Northwestern China

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Abstract

The Ningxia region in Northwest China, a significant grain-producing area, heavily relies on the Yellow River for agricultural irrigation. Maintaining the ecological health of the Yellow River is crucial due to its role as the primary water source. This research comprehensively assessed heavy metal (HM) levels in surface water and sediments within the Ningxia section of the Yellow River basin. It specifically examined the concentrations of Sr, Zn, Mn, Cu, As, Cd, Cr, Co, Sb, Pb, Tl, Ni, and Hg, detailing their spatial distribution and associated risks. Sources of pollution were identified, and their relationships were explored using statistical analysis and positive matrix factorization (PMF). The risk assessment results indicated elevated pollution levels of Tl and slight pollution of Hg in surface water. Integrated Nemerow Pollution Index ( PN) calculations revealed that 18% and 20% of surface water samples exhibited pollution during the wet and dry seasons, respectively. In sediments, mean concentrations of Mn, As, Ni, Cr, Zn, Cu, Cd, Sr, Co, Sb, and Tl exceeded background levels, with Mn being the highest. Sediments exhibited low to moderate HM pollution, with higher concentrations found in northern Ningxia’s irrigated areas. Major sources of HM pollution included agriculture, traffic emissions, and natural sources. Overall, this study provides essential data to improve water resource management and mitigate HM pollution in the Ningxia section of the Yellow River Basin.

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Keywords

Heavy metal pollution / Yellow River Basin / Positive matrix factorization / Environmental risk assessment / GIS analysis

Highlight

● Tl & Hg pose significant pollution risks in parts of the Yellow River Basin, Ningxia.

● Elevated heavy metal concentrations were found in northern irrigation areas.

● Most sediment samples exhibit low-to-moderate heavy metal contamination levels.

● Anthropogenic activities contribute to heavy metal pollution.

● Seasonal pollution affects 18%–20% of surface water samples.

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Cheng Ma, Menglu Wang, Qian Li, Mohammadtaghi Vakili, Yijing Zhang, Shengqiang Hei, Li Gao, Wei Wang, Dengchao Liu. Distribution, source apportionment, and assessment of heavy metal pollution in the Yellow River Basin, Northwestern China. Front. Environ. Sci. Eng., 2025, 19(2): 16 DOI:10.1007/s11783-025-1936-4

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References

[1]

Bettinelli M, Beone G M, Spezia S, Baffi C. (2000). Determination of heavy metals in soils and sediments by microwave-assisted digestion and inductively coupled plasma optical emission spectrometry analysis. Analytica Chimica Acta, 424(2): 289–296

[2]

Chen X, Fu X, Li G, Zhang J, Li H, Xie F. (2024). Source-specific probabilistic health risk assessment of heavy metals in surface water of the Yangtze River Basin. Science of the Total Environment, 926: 171923

[3]

Chen X, Liu S, Luo Y. (2023). Spatiotemporal distribution and probabilistic health risk assessment of arsenic in drinking water and wheat in Northwest China. Ecotoxicology and Environmental Safety, 256: 114880

[4]

Cloquet C, Carignan J, Libourel G, Sterckeman T, Perdrix E. (2006). Tracing source pollution in soils using cadmium and lead isotopes. Environmental Science & Technology, 40(8): 2525–2530

[5]

Cui Y B, Bai L, Li C H, He Z J, Liu X R. (2022). Assessment of heavy metal contamination levels and health risks in environmental media in the northeast region. Sustainable Cities and Society, 80: 103796

[6]

Dai X Y, Liang J H, Shi H D, Yan T Z, He Z X, Li L, Hu H L. (2024). Health risk assessment of heavy metals based on source analysis and Monte Carlo in the downstream basin of the Zishui. Environmental Research, 245: 117975

[7]

Das B K, Kumar V, Chakraborty L, Swain H S, Ramteke M H, Saha A, Das A, Bhor M, Upadhyay A, Jana C. . (2023). Receptor model-based source apportionment and ecological risk assessment of metals in sediment of river Ganga, India. Marine Pollution Bulletin, 195: 115477

[8]

Guan Q, Wang L, Pan B, Guan W, Sun X, Cai A. (2016). Distribution features and controls of heavy metals in surface sediments from the riverbed of the Ningxia–Inner Mongolian reaches, Yellow River, China. Chemosphere, 144: 29–42

[9]

Guo J M, Wei Y X, Yang J X, Chen T B, Zheng G D, Qian T W, Liu X A, Meng X F, He M K. (2023). Cultivars and oil extraction techniques affect Cd/Pb contents and health risks in oil of rapeseed grown on Cd/Pb-contaminated farmland. Frontiers of Environmental Science & Engineering, 17(7): 87

[10]

Haghnazar H, Hudson-Edwards K A, Kumar V, Pourakbar M, Mahdavianpour M, Aghayani E. (2021). Potentially toxic elements contamination in surface sediment and indigenous aquatic macrophytes of the Bahmanshir River, Iran: appraisal of phytoremediation capability. Chemosphere, 285: 131446

[11]

Han D M, Cheng J P, Hu X F, Jiang Z Y, Mo L, Xu H, Ma Y N, Chen X J, Wang H L. (2017). Spatial distribution, risk assessment and source identification of heavy metals in sediments of the Yangtze River Estuary, China. Marine Pollution Bulletin, 115(1−2): 141–148

[12]

Huston R, Chan Y C, Chapman H, Gardner T, Shaw G. (2012). Source apportionment of heavy metals and ionic contaminants in rainwater tanks in a subtropical urban area in Australia. Water Research, 46(4): 1121–1132

[13]

Islam M S, Ahmed M K, Raknuzzaman M, Habibullah-Al-Mamun M, Islam M K. (2015). Heavy metal pollution in surface water and sediment: a preliminary assessment of an urban river in a developing country. Ecological Indicators, 48: 282–291

[14]

Islam M S, Hossain M B, Matin A, Sarker M S. (2018). Assessment of heavy metal pollution, distribution and source apportionment in the sediment from Feni River estuary, Bangladesh. Chemosphere, 202: 25–32

[15]

Jia X L, Fu T T, Hu B F, Shi Z, Zhou L Q, Zhu Y W. (2020). Identification of the potential risk areas for soil heavy metal pollution based on the source-sink theory. Journal of Hazardous Materials, 393: 122424

[16]

Jiang J, Shi Y, Ma N L, Ye H, Verma M, Ng H S, Ge S. (2024). Utilizing adsorption of wood and its derivatives as an emerging strategy for the treatment of heavy metal-contaminated wastewater. Environmental Pollution, 340: 122830

[17]

Karaouzas I, Kapetanaki N, Mentzafou A, Kanellopoulos T D, Skoulikidis N. (2021). Heavy metal contamination status in Greek surface waters: a review with application and evaluation of pollution indices. Chemosphere, 263: 128192

[18]

Karbassi A R, Monavari S M, Bidhendi G R, Nouri J, Nematpour K. (2008). Metal pollution assessment of sediment and water in the Shur River. Environmental Monitoring and Assessment, 147(1–3): 107–116

[19]

Khan M H R, Liu J G, Liu S F, Li J R, Cao L, Rahman A. (2020). Anthropogenic effect on heavy metal contents in surface sediments of the Bengal Basin river system, Bangladesh. Environmental Science and Pollution Research International, 27(16): 19688–19702

[20]

Krishna A K, Satyanarayanan M, Govil P K. (2009). Assessment of heavy metal pollution in water using multivariate statistical techniques in an industrial area: a case study from Patancheru, Medak District, Andhra Pradesh, India. Journal of Hazardous Materials, 167(1–3): 366–373

[21]

Kumar S, Islam A M T, Hasanuzzaman M, Salam R, Khan R, Islam M S. (2021). Preliminary assessment of heavy metals in surface water and sediment in Nakuvadra-Rakiraki River, Fiji using indexical and chemometric approaches. Journal of Environmental Management, 298: 113517

[22]

Kumar S, Banerjee S, Ghosh S, Majumder S, Mandal J, Roy P K, Bhattacharyya P. (2024). Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches. Frontiers of Environmental Science & Engineering, 18(5): 60

[23]

Li B J, Song J X, Guan M C, Chen Z Y, Tang B, Long Y Q, Mao R C, Zhao J W, Xu W J, Zhang Y T. (2024). With spatial distribution, risk evaluation of heavy metals and microplastics to emphasize the composite mechanism in hyporheic sediments of Beiluo River. Journal of Hazardous Materials, 462: 132784

[24]

Li J, Xie Z, Qiu X, Yu Q, Bu J, Sun Z, Long R, Brandis K J, He J, Feng Q. . (2022a). Heavy metal habitat: a novel framework for mapping heavy metal contamination over large-scale catchment with a species distribution model. Water Research, 226: 119310

[25]

Li Y, Li P, Liu L. (2022b). Source identification and potential ecological risk assessment of heavy metals in the topsoil of the Weining Plain (Northwest China). Exposure and Health, 14(2): 281–294

[26]

Liu F, Wang X, Dai S, Zhou J, Liu D, Hu Q, Wang W, Xie M, Lu Y, Tian M. . (2023). Spatial variations, health risk assessment, and source apportionment of soil heavy metals in the middle Yellow River Basin of northern China. Journal of Geochemical Exploration, 252: 107275

[27]

Liu Z P, Wang L, Yan M J, Ma B, Cao R X. (2024). Source apportionment of soil heavy metals based on multivariate statistical analysis and the PMF model: a case study of the Nanyang Basin, China. Environmental Technology & Innovation, 33: 103537

[28]

Luo H P, Wang Q Z, Guan Q Y, Ma Y R, Ni F, Yang E Q, Zhang J. (2022). Heavy metal pollution levels, source apportionment and risk assessment in dust storms in key cities in Northwest China. Journal of Hazardous Materials, 422: 126878

[29]

Ma X L, Zuo H, Tian M J, Zhang L Y, Meng J, Zhou X N, Min N, Chang X Y, Liu Y. (2016). Assessment of heavy metals contamination in sediments from three adjacent regions of the Yellow River using metal chemical fractions and multivariate analysis techniques. Chemosphere, 144: 264–272

[30]

Miranda L S, Wijesiri B, Ayoko G A, Egodawatta P, Goonetilleke A. (2021). Water-sediment interactions and mobility of heavy metals in aquatic environments. Water Research, 202: 117386

[31]

Pan X Y, Weng X R, Zhang LY, Chen F, Li H, Zhang Y H. (2024). Spatiotemporal characteristics and Monte Carlo simulation-based human health risk of heavy metals in soils from a typical coal-mining city in eastern China. Frontiers of Environmental Science & Engineering, 18(10): 122

[32]

Qin Y H, Tao Y Q. (2022). Pollution status of heavy metals and metalloids in Chinese lakes: distribution, bioaccumulation and risk assessment. Ecotoxicology and Environmental Safety, 248: 114293

[33]

Rai P K, Lee S S, Zhang M, Tsang Y F, Kim K H. (2019). Heavy metals in food crops: health risks, fate, mechanisms, and management. Environment International, 125: 365–385

[34]

Rajakumar S, Abhishek A, Selvam G S, Nachiappan V. (2020). Effect of cadmium on essential metals and their impact on lipid metabolism in Saccharomyces cerevisiae. Cell Stress & Chaperones, 25(1): 19–33

[35]

Rajeshkumar S, Liu Y, Zhang X Y, Ravikumar B, Bai G, Li X Y. (2018). Studies on seasonal pollution of heavy metals in water, sediment, fish and oyster from the Meiliang Bay of Taihu Lake in China. Chemosphere, 191: 626–638

[36]

Santos Bermejo J C, Beltrán R, Gómez Ariza J L. (2003). Spatial variations of heavy metals contamination in sediments from Odiel River (Southwest Spain). Environment International, 29(1): 69–77

[37]

Setia R, Dhaliwal S S, Singh R, Kumar V, Taneja S, Kukal S S, Pateriya B. (2021). Phytoavailability and human risk assessment of heavy metals in soils and food crops around Sutlej River, India. Chemosphere, 263: 128321

[38]

Shokri S, Abdoli N, Sadighara P, Mahvi A H, Esrafili A, Gholami M, Jannat B, Yousefi M. (2022). Risk assessment of heavy metals consumption through onion on human health in Iran. Food Chemistry: X, 14: 100283

[39]

Wang X D, Zheng W D, Tian W, Gao Y M, Wang X Z, Tian Y Q, Li J S, Zhang X Y. (2022a). Groundwater hydrogeochemical characterization and quality assessment based on integrated weight matter-element extension analysis in Ningxia, upper Yellow River, Northwest China. Ecological Indicators, 135: 108525

[40]

Wang Y, Xin C L, Yu S, Xie Y C, Zhang W J, Fu R J. (2022b). Health risk assessment based on source identification of heavy metal(loid)s: a case study of surface water in the Lijiang River, China. Toxics, 10(12): 726

[41]

Wu Q M, Hu W Y, Wang H F, Liu P, Wang X K, Huang B A. (2021). Spatial distribution, ecological risk and sources of heavy metals in soils from a typical economic development area, Southeastern China. Science of the Total Environment, 780: 146557

[42]

Wulan D R, Marganingrum D, Yoneda M. (2020). Distribution, source identification, and assessment of heavy metal pollution in the surface and pore waters of Cipeles River, West Java, Indonesia. Environmental Science and Pollution Research International, 27(31): 39123–39134

[43]

Xia X, Ji J, Yang Z, Han H, Huang C, Li Y, Zhang W. (2020). Cadmium risk in the soil-plant system caused by weathering of carbonate bedrock. Chemosphere, 254: 126799

[44]

Xiao H, Shahab A, Xi B D, Chang Q X, You S H, Li J Y, Sun X J, Huang H W, Li X K. (2021). Heavy metal pollution, ecological risk, spatial distribution, and source identification in sediments of the Lijiang River, China. Environmental Pollution, 269: 116189

[45]

Xie F Y, Yu M C, Yuan Q K, Meng Y, Qie Y K, Shang Z M, Luan F B, Zhang D L. (2022). Spatial distribution, pollution assessment, and source identification of heavy metals in the Yellow River. Journal of Hazardous Materials, 436: 129309

[46]

Xu H S, Li C Y, Wen C, Zhu S J, Zhu S Q, Li N H, Li R F, Luo X. (2023). Heavy metal fraction, pollution, and source-oriented risk assessment in biofilms on a river system polluted by mining activities. Chemosphere, 322: 138137

[47]

Xue X, Han Y, Wu X, Wang H, Wang S, Zheng J, Ran R, Zhang C. (2023). Review: phytate modification serves as a novel adsorption strategy for the removal of heavy metal pollution in aqueous environments. Journal of Environmental Chemical Engineering, 11(6): 111440

[48]

Yang H J, Sun J K, Song A Y, Qu F Z, Dong L S, Fu Z Y. (2017). A probe into the contents and spatial distribution characteristics of available heavy metals in the soil of Shell Ridge Island of Yellow River Delta with ICP-OES method. Spectroscopy and Spectral Analysis, 37(4): 1307–1313

[49]

Yi Y, Wang B G, Yi X M, Zha F, Lin H S, Zhou Z J, Ge Y H, Liu H. (2024). Systematic and long-term technical validity of toxicity determination and early warning of heavy metal pollution based on an automatic water-toxicity-determination-system. Frontiers of Environmental Science & Engineering, 18(8): 96

[50]

Zhang M, Wang X P, Liu C, Lu J Y, Qin Y H, Mo Y K, Xiao P J, Liu Y. (2020). Identification of the heavy metal pollution sources in the rhizosphere soil of farmland irrigated by the Yellow River using PMF analysis combined with multiple analysis methods-using Zhongwei City, Ningxia, as an example. Environmental Science and Pollution Research International, 27(14): 16203–16214

[51]

Zhang M M, Lu X W, Chen H, Gao P P, Fu Y. (2015). Multi-element characterization and source identification of trace metal in road dust from an industrial city in semi-humid area of Northwest China. Journal of Radioanalytical and Nuclear Chemistry, 303(1): 637–646

[52]

Zuo H, Ma X L, Yang K, Chen Y Z, Chen J H, Guo Y, Zhao J Y, Wang R M, Fang F, Liu Y. (2016). Distribution and risk assessment of metals in surface water and sediment in the Upper Reaches of the Yellow River, China. Soil & Sediment Contamination, 25(8): 917–940

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