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Indirect effect of nutrient accumulation intensified toxicity risk of metals in sediments from urban river network

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Abstract

The levels of metals in sediments of urban river ecosystems are crucial for aquatic environmental health and pollution assessment. Yet little is known about the interaction of nutrients with metals for environmental risks under contamination accumulation. Here, we combined hierarchical cluster, correlation, and principal component analysis with structural equation model (SEM) to investigate the pollution level, source, toxicity risk, and interaction associated with metals and nutrients in the sediments of a river network in a city area of East China. The results showed that the pollution associated with metals in sediments was rated as moderate degree of contamination load and medium-high toxicity risk in the middle and downstream of urban rivers based on contamination factor, pollution load index, and environmental toxicity quotient. The concentration of mercury (Hg) and zinc (Zn) showed a significant correlation with toxic risks, which had more contribution to toxicity than other metals in the study area. Organic nitrogen and organic pollution index showed heavily polluted sediments in south of the study area. Though correlation analysis indicated that nutrients and metals had different input zones from anthropogenic sources in the urban river network, SEM suggested that nutrient accumulation indirectly intensified toxicity risk of metals by 13.6% in sediments. Therefore, we suggested the combined consideration of metal toxicity risk with nutrient accumulation, which may provide a comprehensive understanding to identify sediment pollution.

Toxicity rate of metals in sediments from urban river network indirectly intensified by nutrients accumulation

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References

  • Abrahim G, Parker R (2002) Heavy-metal contaminants in Tamaki Estuary: impact of city development and growth, Auckland, New Zealand. Environ Geol 42(8):883–890

    CAS  Google Scholar 

  • Ali AE, Strezov V, Davies PJ, Wright I (2018) River sediment quality assessment using sediment quality indices for the Sydney basin, Australia affected by coal and coal seam gas mining. Sci Total Environ 616:695–702

    Google Scholar 

  • ATSDR (2015) The priority list of hazardous substances http://www.atsdr.cdc.gov/spl/

  • Barik SK, Muduli PR, Mohanty B, Rath P, Samanta S (2017) Spatial distribution and potential biological risk of some metals in relation to granulometric content in core sediments from Chilika lake, India. Environ Sci Pollut Res 3:1–16

    Google Scholar 

  • Barik SK, Bramha S, Bastia TK, Behera D, Mohanty PK, Rath P (2019) Distribution of geochemical fractions of phosphorus and its ecological risk in sediment cores of a largest brackish water lake, South Asia. Int J Sediment Res 34(3):251–261

    Google Scholar 

  • Bhuiyan MAH, Parvez L, Islam MA, Dampare SB, Suzuki S (2010) Heavy metal pollution of coal mine-affected agricultural soils in the northern part of Bangladesh. J Hazard Mater 173(1):384–392

    CAS  Google Scholar 

  • Burton GA Jr (2002) Sediment quality criteria in use around the world. Limnology 3(2):65–76

    CAS  Google Scholar 

  • Cao L, Shen G, Lu Y (2008) Combined effects of heavy metal and polycyclic aromatic hydrocarbon on soil microorganism communities. Environ Geol 54(7):1531–1536

    CAS  Google Scholar 

  • Chen X, Zhao Y, Zeng C, Li Y, Zhu L, Wu J, Chen J, Wei Z (2019) Assessment contributions of physicochemical properties and bacterial community to mitigate the bioavailability of heavy metals during composting based on structural equation models. Bioresour Technol 289:121657

    CAS  Google Scholar 

  • Conley DJ, Paerl HW, Howarth RW, Boesch DF, Seitzinger SP, Havens KE, Lancelot C, Likens GE (2009) Controlling eutrophication: nitrogen and phosphorus. Science 323:1014–1015

    CAS  Google Scholar 

  • Cui HY, Zhang SB, Zhao MY, Zhao Y, Wei ZM (2019) Parallel faction analysis combined with two-dimensional correlation spectroscopy reveal the characteristics of mercury-composting-derived dissolved organic matter interactions. J Hazard Mater. https://doi.org/10.1016/j.jhazmat.2019.121395

    Google Scholar 

  • Dević G, Sakan S, Đorđević D (2016) Assessment of the environmental significance of nutrients and heavy metal pollution in the river network of Serbia. Environ Sci Pollut Res 23(1):282–297

    Google Scholar 

  • Förstner U, Wittmann GT (2012) Metal pollution in the aquatic environment. Springer Science & Business Media

  • Gao X, Tan W, Zhao Y, Wu J, Sun Q, Qi H, Xie X, Wei Z (2019) Diversity in the mechanisms of humin formation during composting with different materials. Environ Sci Technol 53(7):3653–3662

    CAS  Google Scholar 

  • Hakanson L (1980) An ecological risk index for aquatic pollution control. A sedimentological approach. Water Res 14(8):975–1001

    Google Scholar 

  • Hao J, Wei Z, Wei D, Ahmed Mohamed T, Yu H, Xie X, Zhu L, Zhao Y (2019) Roles of adding biochar and montmorillonite alone on reducing the bioavailability of heavy metals during chicken manure composting. Bioresour Technol 294:122199

    Google Scholar 

  • Huang S, Tu J, Liu H, Hua M, Liao Q, Feng J, Weng Z, Huang G (2009) Multivariate analysis of trace element concentrations in atmospheric deposition in the Yangtze River Delta, East China. Atmos Environ 43(36):5781–5790

    CAS  Google Scholar 

  • Jørgensen SE, Xu L, Costanza R (2016) Handbook of ecological indicators for assessment of ecosystem health. CRC Press, Boca Raton

    Google Scholar 

  • Lazo P, Steinnes E, Qarri F, Allajbeu S, Kane S, Stafilov T, Frontasyeva MV, Harmens H (2018) Origin and spatial distribution of metals in moss samples in Albania: a hotspot of heavy metal contamination in Europe. Chemosphere 190:337–349

    CAS  Google Scholar 

  • Lu R (2000) Soil agricultural chemical analysis method. China Agricultural Science and Technology Press, Beijing, pp 1–315

    Google Scholar 

  • MacDonald DD, Ingersoll CG, Berger TA (2000) Development and evaluation of consensus-based sediment quality guidelines for freshwater ecosystems. Arch Environ Contam Toxicol 39(1):20–31

    CAS  Google Scholar 

  • Mamat Z, Haximu S, Zhang Z, Aji R (2016) An ecological risk assessment of heavy metal contamination in the surface sediments of Bosten Lake, Northwest China. Environ Sci Pollut Res 23(8):7266

    Google Scholar 

  • McCready S, Birch GF, Long ER (2006) Metallic and organic contaminants in sediments of Sydney Harbour, Australia and vicinity — a chemical dataset for evaluating sediment quality guidelines. Environ Int 32(4):455–465

    Google Scholar 

  • Parida S, Barik SK, Mohanty B, Muduli PR, Mohanty SK, Samanta S, Pattanaik AK (2017) Trace metal concentrations in euryhaline fish species from Chilika lagoon: human health risk assessment. Int J Environ Sci Technol 14(12):2649–2660

    CAS  Google Scholar 

  • Persaud D, Jaagumagi R, Hayton A (1993) Guidelines for the protection and management of aquatic sediment quality in Ontario. Water Resources Branch. Ontario Ministry of the Environment, Toronto

    Google Scholar 

  • Redman AD, Macalady DL, Ahmann D (2002) Natural organic matter affects arsenic speciation and sorption onto hematite. Environ Sci Technol 36(13):2889–2896

    CAS  Google Scholar 

  • Singh KP, Malik A, Sinha S, Singh VK, Murthy RC (2005) Estimation of source of heavy metal contamination in sediments of Gomti River (India) using principal component analysis. Water Air Soil Pollut 166:321–341

    CAS  Google Scholar 

  • Smith VH (2003) Eutrophication of freshwater and coastal marine ecosystems a global problem. Environ Sci Pollut Res 10(2):126–139

    CAS  Google Scholar 

  • Tang W, Shan B, Zhang H, Mao Z (2010) Heavy metal sources and associated risk in response to agricultural intensification in the estuarine sediments of Chaohu Lake Valley, East China. J Hazard Mater 176(1–3):945–951

    CAS  Google Scholar 

  • Varol M (2011) Assessment of heavy metal contamination in sediments of the Tigris River (Turkey) using pollution indices and multivariate statistical techniques. J Hazard Mater 195:355–364

    CAS  Google Scholar 

  • Varol M, Şen B (2012) Assessment of nutrient and heavy metal contamination in surface water and sediments of the upper Tigris River, Turkey. Catena 92:1–10

    CAS  Google Scholar 

  • Violintzis C, Arditsoglou A, Voutsa D (2009) Elemental composition of suspended particulate matter and sediments in the coastal environment of Thermaikos Bay, Greece: delineating the impact of inland waters and wastewaters. J Hazard Mater 166(2):1250–1260

    CAS  Google Scholar 

  • Wang P, Lu S, Wang D, Xu M, Gan S, Jin X (2012) Nitrogen, phosphorous and organic matter spatial distribution characteristics and their pollution status evaluation of sediments nutrients in lakeside zones of Taihu Lake. China Environ Sci 32(4):703–709 (in Chinese)

    CAS  Google Scholar 

  • Wang N, Huang B, Xu S, Wei Z, Miao A, Ji R, Yang L (2014) Effects of nitrogen and phosphorus on arsenite accumulation, oxidation, and toxicity in Chlamydomonas reinhardtii. Aquat Toxicol 157:167–174

    CAS  Google Scholar 

  • Wang L, Shen J, Chung CKL (2015) City profile: Suzhou - a Chinese city under transformation. Cities 44:60–72

    Google Scholar 

  • Wei Y, Zhao Y, Shi M, Cao Z, Lu Q, Yang T, Fan Y, Wei Z (2018) Effect of organic acids production and bacterial community on the possible mechanism of phosphorus solubilization during composting with enriched phosphate-solubilizing bacteria inoculation. Bioresour Technol 247:190–199

    CAS  Google Scholar 

  • Wu J, Zhao Y, Zhao W, Yang T, Zhang X, Xie X, Cui H, Wei Z (2017) Effect of precursors combined with bacteria communities on the formation of humic substances during different materials composting. Bioresour Technol 226:191–199

    CAS  Google Scholar 

  • Yang K, Zhu L, Zhao Y, Wei Z, Chen X, Yao C, Meng Q, Zhao R (2019) A novel method for removing heavy metals from composting system: the combination of functional bacteria and adsorbent materials. Bioresour Technol 293:122095

    Google Scholar 

  • Yu H, Zhao Y, Zhang C, Wei D, Wu J, Zhao X, Hao J, Wei Z (2019) Driving effects of minerals on humic acid formation during chicken manure composting: emphasis on the carrier role of bacterial community. Bioresour Technol 294:122239

    Google Scholar 

  • Yuan Y, He X, Xi B, Li D, Gao R, Tan W (2018) Polarity and molecular weight of compost-derived humic acid affect Fe (III) oxides reduction. Chemosphere 208:77–83

    CAS  Google Scholar 

  • Zhang Z, Lv Y, Zhang W, Zhang Y, Sun C, Marhaba T (2015) Phosphorus, organic matter and nitrogen distribution characteristics of the surface sediments in Nansi Lake, China. Environ Earth Sci 73:5669–5675

    CAS  Google Scholar 

  • Zhang H, Jiang Y, Ding M, Xie Z (2017) Level, source identification, and risk analysis of heavy metal in surface sediments from river-lake ecosystems in the Poyang Lake, China. Environ Sci Pollut Res 24(27):21902–21916

    CAS  Google Scholar 

  • Zhang H, Huo S, Yeager KM, Xi B, Zhang J, He Z, Ma C, Wu F (2018) Accumulation of arsenic, mercury and heavy metals in lacustrine sediment in relation to eutrophication: impacts of sources and climate change. Ecol Indic 93:771–780

    CAS  Google Scholar 

  • Zhao H, Li X, Wang X, Tian D (2010) Grain size distribution of road-deposited sediment and its contribution to heavy metal pollution in urban runoff in Beijing, China. J Hazard Mater 183(1):203–210

    CAS  Google Scholar 

  • Zhu L, Yang H, Zhao Y, Kang K, Liu Y, He P, Wu Z, Wei Z (2019) Biochar combined with montmorillonite amendments increase bioavailable organic nitrogen and reduce nitrogen loss during composting. Bioresour Technol 294:122224

    Google Scholar 

Download references

Funding

This research was supported by the Major Science and Technology Program for Water Pollution Control and Treatment (No. 2017ZX07205), the China Postdoctoral Science Foundation (2017M620801), and National Natural Science Foundation of China (41702262). Dr. Fang Zhang also acknowledges the support of the Thousand Talents Plan for Young Professionals and Young Elite Scientist Sponsorship Program by CAST (2015QNRC001).

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Correspondence to Fang Zhang.

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Highlights

Pollution load of sediments in urban river network was compared with diverse SQGs.

Roles of metals and nutrients in sediments for toxicity risk were analyzed by SEM.

Metal in sediments had moderately high toxicity risks in the downstream samples.

Harmful risk in sediments of urban river network was mainly due to Hg and Zn.

Nutrients indirectly increased toxicity risk of metals in sediments by 13.6%.

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Wei, Y., Zhang, H., Yuan, Y. et al. Indirect effect of nutrient accumulation intensified toxicity risk of metals in sediments from urban river network. Environ Sci Pollut Res 27, 6193–6204 (2020). https://doi.org/10.1007/s11356-019-07335-9

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  • DOI: https://doi.org/10.1007/s11356-019-07335-9

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