Skip to main content
Log in

Distribution, risk assessment, and statistical source identification of heavy metals in aqueous system from three adjacent regions of the Yellow River

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Distribution of five heavy metals (Cr, Pb, Cd, Cu, and Zn) and some physicochemical variables were studied from ten sites (S1–S10) in filtered water, suspended particles, and sediment samples from Gansu Province, Ningxia, and Inner Mongolia Autonomous Regions of the Yellow River in Northern China. The results showed that heavy metal concentrations in filtered water were relatively lower, while they were higher and approximated in suspended particles and sediment samples. Metal chemical fractions showed that high proportions of Cd were found in the exchangeable fractions, while others likely to be existed in lithology. Heavy metal pollution index (HPI) indicated that the quality of filtered water was relatively better, and the potential ecological risk index (PERI) revealed that only Cd has the higher ecological risk in suspended particles and sediment samples, which is accordance with the results obtained by the chemical fractions analysis; at the same time, the higher ecological risks existed in S3, S6, S9, and S10 in suspended particles and sediment samples due to the waste emission of a variety of industries. Results of cluster analysis (CA) indicated that contamination sources in the sediment samples were from both natural processes and anthropogenic activities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Arain MB, Kazi TG, Jamali MK, Afridi HI, Jalbani N, Sarfraz RA, Baig JA, Kandhro GA, Memon MA (2008) Time saving modified BCR sequential extraction procedure for the fraction of Cd, Cr, Cu, Ni, Pb and Zn in sediment samples of polluted lake. J Hazard Mater 160:235–239

    Article  CAS  Google Scholar 

  • Armid A, Shinjo R, Zaeni A, Sani A, Ruslan R (2014) The distribution of heavy metals including Pb, Cd and Cr in Kendari Bay surficial sediments. Mar Pollut Bull 84:373–378

    Article  CAS  Google Scholar 

  • Barlas N, Akbulut N, Aydoğan M (2005) Assessment of heavy metal residues in the sediment and water samples of Uluabat Lake, Turkey. Bull Environ Contam Toxicol 74:286–293

    Article  CAS  Google Scholar 

  • Bartoli G, Papa S, Sagnella E, Fioretto A (2012) Heavy metal content in sediments along the Calore river: relationships with physicalechemical characteristics. J Environ Manage 95:S9–S14

    Article  CAS  Google Scholar 

  • Bhuiyan MAH, Islam MA, Dampare SB, Parvez L, Suzuki S (2010) Evaluation of hazardous metal pollution in irrigation and drinking water systems in the vicinity of a coal mine area of northwestern Bangladesh. J Hazard Mater 179:1065–1077

    Article  CAS  Google Scholar 

  • Chen CW, Kao CM, Chen CF, Dong CD (2007) Distribution and accumulation of heavy metals in the sediments of Kaohsiung Harbor, Taiwan. Chemosphere 66:1431–1440

    Article  CAS  Google Scholar 

  • Chen B, Fan DJ, Li WR, Wang L, Zhang XL, Liu M, Guo ZG (2014) Enrichment of heavy metals in the inner shelf mud of the East China Sea and its indication to human activity. Cont Shelf Res 90:163–169

    Article  Google Scholar 

  • Cui BS, Zhang QJ, Zhang KJ, Liu XH, Zhang HG (2011) Analyzing trophic transfer of heavy metals for food webs in the newly-formed wetlands of the Yellow River Delta, China. Environ Pollut 159:1297–1306

    Article  CAS  Google Scholar 

  • Daskalaskis KD, O’Connor TP (1995) Normalization and elemental sediment contamination in the coastal United States. Environ Sci Technol 29:477–479

    Article  Google Scholar 

  • Edet AE, Offiong OE (2002) Evaluation of water quality pollution indices for heavy metal contamination monitoring. A study case from Akpabuyo-Odukpani area, Lower Cross River Basin (southeastern Nigeria). Geo Journal 57:295–304

    Google Scholar 

  • Facchinelli A, Sacchi E, Mallen L (2001) Multivariate statistical and GIS-based approach to identify heavy metal sources in soils. Environ Pollut 114:313–324

    Article  CAS  Google Scholar 

  • Fu J, Hu X, Tao XC, Yu HX, Zhang XW (2013) Risk and toxicity assessments of heavy metals in sediments and fishes from the Yangtze River and Taihu Lake, China. Chemosphere 93:1887–1895

    Article  CAS  Google Scholar 

  • Gao XL, Zhou FX, Chen CTA, Xing QG (2015) Trace metals in the suspended particulate matter of the Yellow River (Huanghe) Estuary: concentrations, potential mobility, contamination assessment and the fluxes into the Bohai Sea. Cont Shelf Res 104:25–36

    Article  Google Scholar 

  • Guan QY, Wang L, Pan BT, Guan WQ, Sun XZ, 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

    Article  CAS  Google Scholar 

  • Hakanson L (1980) An ecological risk index for aquatic pollution control. A sedimentological approach. Water Res 14:975–1001

    Article  Google Scholar 

  • Hu BQ, Li J, Bi NS, Wang HJ, Yang J, Wei HL, Zhao JT, Li GG, Yin XB, Liu M, Zou L, Li S (2015) Seasonal variability and flux of particulate trace elements from the Yellow River: impacts of the anthropogenic flood event. Mar Pollut Bull 91:35–44

    Article  CAS  Google Scholar 

  • Huang JZ, Ge XP, Wang DS (2012) Distribution of heavy metals in the water column, suspended particulate matters and the sediment under hydrodynamic conditions using an annular flume. J Environ Sci 24:2051–2059

    Article  CAS  Google Scholar 

  • Huang LL, Pu XM, Pan JF, Wang B (2013) Heavy metal pollution status in surface sediments of Swan Lake lagoon and Rongcheng Bay in the northern Yellow Sea. Chemosphere 93:1957–1964

    Article  CAS  Google Scholar 

  • Huang P, Li TG, Li AC, Yu XK, Hu NJ (2014) Distribution, enrichment and sources of heavy metals in surface sediments of the North Yellow Sea. Cont Shelf Res 73:1–13

    Article  Google Scholar 

  • Huang J, Xue Y, Sun SL, Zhang JC (2015) Spatial and temporal variability of drought during 1960–2012 in Inner Mongolia, north China. Quatern Int 355:134–144

    Article  Google Scholar 

  • Jain CK, Gupta H, Chakrapani GJ (2008) Enrichment and fractionation of heavy metals in bed sediments of River Narmada, India. Environ Monit Assess 141:35–47

    Article  CAS  Google Scholar 

  • Je C, Hayes DF, Kim K (2007) Simulation of resuspended sediments resulting from dredging operations by a numerical flocculent transport model. Chemosphere 70:187–195

    Article  CAS  Google Scholar 

  • Kannel PR, Lee S, Kanel SR, Khan SP, Lee YS (2007) Spatial-temporal variation and comparative assessment of water qualities of urban river system: a case study of the River Bagmati (Nepal). Environ Monit Assess 129:433–459

    Article  CAS  Google Scholar 

  • Kartal Ş, Aydın Z, Tokalıoğlu Ş (2006) Fractionation of metals in street sediment samples by using the BCR sequential extraction procedure and multivariate statistical elucidation of the data. J Hazard Mater 132:80–89

    Article  CAS  Google Scholar 

  • Kelepertzis E (2014) Accumulation of heavy metals in agricultural soils of Mediterranean: insights from Argolida basin, Peloponnese, Greece. Geoderma 221–222:82–90

    Article  Google Scholar 

  • Kerolli–Mustafa M, Fajković H, Rončević S, Ćurković L (2015) Assessment of metal risks from different depths of jarosite tailing waste of Trepça Zinc Industry, Kosovo based on BCR procedure. J Geochem Explor 148:161–168

    Article  Google Scholar 

  • Khan K, Lu YL, Khan H, Zakir S, Ihsanullah, Khan S, Khan AA, Wei L, Wang TY (2013) Health risks associated with heavy metals in the drinking water of Swat, northern Pakistan. J Hazard Mater 25:2003–2013

    CAS  Google Scholar 

  • Kirkelund GM, Ottosen LM, Villumsen A (2009) Electrodialytic remediation of harbour sediment in suspension—Evaluation of effects induced by changes in stirring velocity and current density on heavy metal removal and pH. J Hazard Mater 169:685–690

    Article  CAS  Google Scholar 

  • Li Y, Wang YB, Gou X, Su YB, Wang G (2006) Risk assessment of heavy metals in soils and vegetables around non-ferrous metals mining and smelting sites, Baiyin, China. J Environ Sci 18:1124–1134

    Article  CAS  Google Scholar 

  • Lin YC, Chang-Chien GP, Chiang PC, Chen WH, Lin YC (2013) Multivariate analysis of heavy metal contaminations in seawater and sediments from a heavily industrialized harbor in Southern Taiwan. Mar Pollut Bull 76:266–275

    Article  CAS  Google Scholar 

  • Liu JJ, Liu Y (2013) Study on heavy metals and ecological risk assessment from Gansu, Ningxia and Inner Mongolia sections of the Yellow River, China. Spectrosc Spectr Anal 33:3249–3254

    Google Scholar 

  • Liu CY, Dong XF, Liu YY (2015) Changes of NPP and their relationship to climate factors based on the transformation of different scales in Gansu, China. Catena 125:190–199

    Article  Google Scholar 

  • Louriño-Cabana B, Lesven L, Charriau A, Billon G, Ouddane B, Boughriet A (2011) Potential risks of metal toxicity in contaminated sediments of Deûle river in Northern France. J Hazard Mater 186:2129–2137

    Article  Google Scholar 

  • Lu XW, Wang LJ, Li LY, Lei K, Huang L, Kang D (2010) Multivariate statistical analysis of heavy metals in street dust of Baoji, NW China. J Hazard Mater 173:744–749

    Article  CAS  Google Scholar 

  • Ma LQ, Rao GN (1997) Chemical fractionation of cadmium, copper, nickel, and zinc in contaminated soils. J Environ Qual 26:259–264

    Article  CAS  Google Scholar 

  • Mamat Z, Yimit H, Ji RZA, Eziz M (2014) Source identification and hazardous risk delineation of heavy metal contamination in Yanqi basin, northwest China. Sci Total Environ 493:1098–1111

    Article  CAS  Google Scholar 

  • Margui E, Salvado V, Queralt I, Hidalgo M (2004) Comparison of three-stage sequential extraction and toxicity characteristic leaching test to evaluate the mobility in mining wastes. Anal Chim Acta 524:151–159

    Article  CAS  Google Scholar 

  • Ministry of Environmental Protection of the People Republic of China (2013) The List of National Intensive Monitored Enterprises in 2013. http://www.zhb.gov.cn/gkml/hbb/bgt/201303/t20130328_250064.htm

  • Mohan SV, Nithila P, Reddy SJ (1996) Estimation of heavy metal in drinking water and development of heavy metal pollution index. J Environ Sci Health A 31:283–289

    Article  Google Scholar 

  • Nan ZR, Zhao C (2000) Heavy metal concentrations in gray calcareous soils of baiyin region, Gansu Province, China. Water Air Soil Poll 118:131–142

    Article  CAS  Google Scholar 

  • Nazeer S, Hashmi MZ, Malik RN (2014) Heavy metals distribution, risk assessment and water quality characterization by water quality index of the River Soan, Pakistan Summiya. Ecol Indic 43:262–270

    Article  CAS  Google Scholar 

  • Nemati K, Bakar NKA, Abas MR (2009) Investigation of heavy metals mobility in shrimp aquaculture sludge—Comparison of two sequential extraction procedures. Microchem J 91:227–231

    Article  CAS  Google Scholar 

  • Nemati K, Bakar NKA, Abas MR, Sobhanzadeh E (2011) Speciation of heavy metals by modified BCR sequential extraction procedure in different depths of sediments from Sungai Buloh, Selangor, Malaysia. J Hazard Mater 192:402–410

    CAS  Google Scholar 

  • Nriagu JO (1979) Global inventory of natural and anthropogenic emissions of trace metals to the atmosphere. Nature 279:409–411

    Article  CAS  Google Scholar 

  • Nyamangara J (1998) Use of sequential extraction to evaluate zinc and copper in a soil amended with sewage sludge and inorganic metal salts. Agr Ecosyst Environ 69:135–141

    Article  CAS  Google Scholar 

  • Palanques A, Diaz JI, Farran M (1995) Contamination of heavy metals in the suspended and surface sediment of the Gulf of Cadiz (Spain): the role of sources, currents, pathways and sinks. Oceanol Acta 18:469–477

    CAS  Google Scholar 

  • Pertsemli E, Voutsa D (2007) Distribution of heavy metals in Lakes Doirani and Kerkini, Northern Greece. J Hazard Mater 148:529–537

    Article  CAS  Google Scholar 

  • Prasad B, Sangita K (2008) Heavy metal pollution index of ground water of an abandoned open cast mine filled with fly ash: a case study. Mine Water Environ 27:265–267

    Article  CAS  Google Scholar 

  • Qiao SQ, Yang ZS, Pan YJ, Guo ZG (2007) Metals in suspended sediments from the Changjiang (Yangtze River) and Huanghe (Yellow River) to the sea, and their comparison. Estuar, Coast Shelf S 74:539–548

    Article  CAS  Google Scholar 

  • Reza R, Singh G (2010) Heavy metal contamination and its indexing approach for river water. Int J Environ Sci Te 7:785–792

    Article  CAS  Google Scholar 

  • Schaider LA, Senn DB, Estes ER, Brabander DJ, Shine JP (2014) Sources and fates of heavy metals in a mining-impacted stream: temporal variability and the role of iron oxides. Sci Total Environ 490:456–466

    Article  CAS  Google Scholar 

  • Shafie NA, Aris AZ, Haris H (2014) Geoaccumulation and distribution of heavy metals in the urban river sediment. Int J Sediment Res 29:368–377

    Article  Google Scholar 

  • Sun YB, Zhou QX, Xie XK, Liu R (2010) Spatial, sources and risk assessment of heavy metal contamination of urban soils in typical regions of Shenyang, China. J Hazard Mater 174:455–462

    Article  CAS  Google Scholar 

  • Sun ZG, Mou XJ, Tong C, Wang CY, Xie ZL, Song HL, Sun WG, Lv YC (2015) Spatial variations and bioaccumulation of heavy metals in intertidal zone of the Yellow River estuary, China. Catena 126:43–52

    Article  CAS  Google Scholar 

  • Tang A, Liu RH, Ling M, Xu LQ, Wang JY (2010) Distribution Characteristics and Controlling Factors of Soluble Heavy Metals in the Yellow River Estuary and Adjacent Sea. Procedia Environ Sci 2:1193–1198

    Article  Google Scholar 

  • Tomlinson DL, Wilson JG, Harris CR, Jeffrey DW (1980) Problems in the assessment of heavy-metal levels in estuaries and the formation of a pollution index. Helgoländer Meeresunters 33:566–575

    Article  Google Scholar 

  • Turner A, Millward GE (2002) Suspended particles: their role in estuarine biogeochemical cycles. Estuar Coast Shelf S 55:857–883

    Article  CAS  Google Scholar 

  • Wang ZL, Liu CQ (2003) Distribution and partition behavior of heavy metals between dissolved and acid-soluble fractions along a salinity gradient in the Changjiang Estuary, eastern China. Chem Geol 202:383–396

    Article  CAS  Google Scholar 

  • Wang G, Oldfield F, Xia DS, Chen FH, Liu XM, Zhang WG (2012) Magnetic properties and correlation with heavy metals in urban street dust: a case study from the city of Lanzhou, China. Atmos Environ 46:289–298

    CAS  Google Scholar 

  • Wu S, Xia XH, Lin CY, Chen X, Zhou CH (2010) Levels of arsenic and heavy metals in the rural soils of Beijing and their changes over the last two decades (1985–2008). J Hazard Mater 179:860–868

    Article  CAS  Google Scholar 

  • Ye F, Huang XP, Zhang DW, Tian L, Zeng YY (2012) Distribution of heavy metals in sediments of the Pearl River Estuary, Southern China: implications for sources and historical changes. J Environ Sci 24:579–588

    Article  CAS  Google Scholar 

  • Yuan HM, Song JM, Li XG, Li N, Duan LQ (2012) Distribution and contamination of heavy metals in surface sediments of the South Yellow Sea. Mar Pollut Bull 64:2151–2159

    Article  CAS  Google Scholar 

  • Zhang WG, Feng H, Chang JN, Qu JG, Xie HX, Yu LZ (2009) Heavy metal contamination in surface sediments of Yangtze River intertidal zone: an assessment from different indexes. Environ Pollut 157:1533–1543

    Article  CAS  Google Scholar 

Download references

Acknowledgments

Here the authors would like to thank the National Natural Science Foundation of China (21177163), 111Project B08044, Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China (10301–01404026), First-class University First Class Academic Program of Minzu University of China (YLDX01013), and Graduate Student Scientific Research Innovation Project of Minzu University of China (K2014042).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ying Liu.

Additional information

Responsible editor: Philippe Garrigues

Highlights

● The heavy metal pollution degree of the Yellow River follows the order of Inner Mongolia > Ningxia > Gansu.

● Cd is a non-negligible metal which may pose higher threat to aquatic biota based on the metal chemical fraction and PERI.

● Pb and Cu show the intimate correlation among the three systems.

● The contamination sources of heavy metal in the sediments are from both natural processes and anthropogenic activities according to CA.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, X., Zuo, H., Liu, J. et al. Distribution, risk assessment, and statistical source identification of heavy metals in aqueous system from three adjacent regions of the Yellow River. Environ Sci Pollut Res 23, 8963–8975 (2016). https://doi.org/10.1007/s11356-016-6088-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-016-6088-4

Keywords

Navigation