Please wait a minute...
Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2024, Vol. 18 Issue (7) : 89    https://doi.org/10.1007/s11783-024-1849-7
Distribution, bioaccumulation, trophic transfer and risk assessment of trace elements in fish from a typical shallow outflow lake basin, China
Miao He1, Guijian Liu1(), Xiaodan Shi1, Lei Wu1,2, Qiang Chen2,3
1. CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China
2. Anhui Academy of Environmental Sciences, Hefei 230022, China
3. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China
 Download: PDF(5493 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

● Surface water, sediment, and different fish species were analysed in this study.

● Correlations between the speciation and bioaccumulation of Zn in fish were studied.

● δ13C and δ15N were used to analyse the trophic levels and food sources of fish.

● Sb and Sr showed obvious biological magnification.

● The TE values of all fish posed no noncarcinogenic health risks to humans.

Fish are important food sources for humans, and the availability of appropriate amount of trace elements (TEs) plays a crucial role in fish growth. Currently, due to large volumes of sewage discharge, high levels of certain elements are present in aquatic environments, and these elements accumulate in fish and potentially affect human health. In this study, the distribution and bioaccumulation capacity of trace elements in six dominant fish species from Chaohu Lake (China) were analyzed. The results showed that the bioaccumulation capacity of fish for Zn was greater than other TEs. And the source of the TEs in the fish were explored along with the concentration of the TEs in the aquatic environment, which indicated that TEs in fish were mainly obtained through ingestion and indirectly affected by the industrial activities in the basin. Additionally, stable carbon and nitrogen isotopes were used to classify the trophic levels and explore the biological magnification of TEs of the fish. It was found that Sb and Sr showed biomagnification with the increase of trophic level of fish. Based on the above analyses, the environmental biogeochemical cycle model of TEs in the lake was distinguished and established, which can offer valuable insights for sustainable fishery management in the downstream Yangtze River Delta ecosystem.

Keywords Trophic level      Bioaccumulation      Risk assessment      Trace elements     
Corresponding Author(s): Guijian Liu   
Issue Date: 22 April 2024
 Cite this article:   
Miao He,Guijian Liu,Xiaodan Shi, et al. Distribution, bioaccumulation, trophic transfer and risk assessment of trace elements in fish from a typical shallow outflow lake basin, China[J]. Front. Environ. Sci. Eng., 2024, 18(7): 89.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-024-1849-7
https://academic.hep.com.cn/fese/EN/Y2024/V18/I7/89
Fig.1  The sampling points for water, sediment, and fish in study area.
Samples Co Cu Zn Mo Cd Sb Cr Se Sn Fe Mn Sr
Water R1 0.045 n.d n.d 0.749 n.d 0.810 n.d 0.285 n.d n.d n.d 89.204
R2 0.245 n.d 0.679 5.944 0.005 1.589 n.d 0.638 n.d n.d n.d 256.179
R3 0.151 0.096 0.425 7.611 0.002 1.606 n.d 0.906 n.d n.d n.d 201.366
R4 0.052 n.d n.d 1.256 0.001 1.511 n.d 0.305 n.d n.d n.d 140.309
R5 0.093 0.011 n.d 2.616 n.d 1.397 n.d 0.541 n.d 17.397 n.d 148.396
L1 0.194 n.d 5.640 7.645 n.d 2.004 4.179 0.453 0.099 372.650 4.817 183.577
L2 0.109 n.d 4.556 3.896 n.d 2.280 3.427 0.369 0.099 279.093 5.161 155.370
L3 0.085 n.d 4.418 2.979 n.d 1.462 3.174 0.308 0.095 261.334 5.127 156.218
L4 0.077 n.d 4.371 3.032 n.d 1.643 5.581 0.406 0.100 264.088 5.423 154.441
L5 0.058 n.d 4.116 3.596 n.d 1.770 4.259 0.382 0.127 207.779 5.356 157.002
L6 0.063 n.d 4.289 2.843 n.d 1.733 5.379 0.376 0.107 242.755 5.340 151.731
L7 0.070 n.d 3.995 3.029 n.d 1.390 5.782 0.421 0.100 252.350 5.262 152.762
Sediment L1 14.967 33.784 271.847 0.790 n.d 3.374 59.490 4.799 40825.403 1389.728 115.811
L2 9.921 19.706 77.692 0.352 n.d 2.347 39.290 2.715 29632.200 1142.502 161.867
L3 13.017 25.646 106.065 0.528 n.d 1.735 52.358 3.977 35414.625 1134.250 123.000
L4 14.209 27.769 117.487 1.009 n.d 0.273 56.009 5.982 39989.625 1246.000 129.500
L5 16.305 30.034 111.551 0.766 n.d 0.480 65.396 4.566 43425.024 1274.952 135.659
L6 15.371 31.371 112.458 0.681 n.d 2.778 56.303 3.977 43137.661 1214.002 117.676
L7 13.890 27.948 113.750 0.862 n.d 0.300 57.651 8.424 40089.625 1218.000 118.750
Tab.1  Trace metals in water (μg/L) and sediment (μg/g DW) from Chaohu Lake
Fig.2  The distribution of trace elemental concentrations (μg/g DW) in fish in the lake area (a) and surrounding rivers (b).
Fig.3  BAF (a) and BASF (b) values of trace elements in fish (E, east; W, west; SWL, Shiwuli River; Z, Zhao River; NF, Nanfei River; ZG, Zhegao River; and HB, Hangbu River).
Fig.4  The proportions of Zn presences in water (a) and sediment (b).
Fig.5  The distributions of δ15NAir‰ and δ13CVPDB‰ values for fish and sediment (E, east; W, west; SWL, Shiwuli River; Z, Zhao River; NF, Nanfei River; ZG, Zhegao River; and HB, Hangbu River).
lg[C] Slope Intercept R2 p n TMF
lgCo 0.013 −1.564 0.033 0.516 15 1.030
lgCu −0.023 0.362 0.143 0.165 15 0.948
lgZn −0.024 2.112 0.096 0.260 15 0.946
lgMo 0.001 −1.680 0.000 0.948 15 1.002
lgCd −0.012 −2.226 0.004 0.889 7 0.973
lgSb 0.081 −3.525 0.654 0.000 15 1.205
lgCr 0.003 0.574 0.006 0.781 15 1.007
lgSe 0.006 0.387 0.023 0.593 15 1.014
lgSn −0.034 −0.637 0.042 0.503 13 0.925
lgFe 0.003 1.587 0.001 0.922 15 1.007
lgMn 0.037 −0.092 0.073 0.330 15 1.089
lgSr 0.051 0.117 0.345 0.021 15 1.125
Tab.2  Linear regression equations relating the log TE concentration and the food web δ15N ratios in fish
Fig.6  Biogeochemical cycle of trace elements in Chaohu Basin.
Fig.7  The THQs of trace elements in adults (a) and children (b) (E, east; W, west; SWL, Shiwuli River; Z, Zhao River; NF, Nanfei River; ZG, Zhegao River; and HB, Hangbu River).
1 A S Ahmed, M Rahman, S Sultana, S O F Babu, M S I Sarker. (2019). Bioaccumulation and heavy metal concentration in tissues of some commercial fishes from the Meghna River Estuary in Bangladesh and human health implications. Marine Pollution Bulletin, 145: 436–447
https://doi.org/10.1016/j.marpolbul.2019.06.035
2 L Ai, B Ma, S Shao, L Zhang, L Zhang. (2022). Heavy metals in Chinese freshwater fish: levels, regional distribution, sources and health risk assessment. Science of the Total Environment, 853: 158455
https://doi.org/10.1016/j.scitotenv.2022.158455
3 T Bagheri, A Misaghi, A T MirGhaed, A Kamkar, A Hedayati, H Akbarein. (2023). Health risk assessment of some heavy metals detected in edible fishes of Gorgan Bay, Caspian Sea (Iran), for human. Environmental Science and Pollution Research International, 30(15): 44480–44489
https://doi.org/10.1007/s11356-022-25082-2
4 M A Baki, M M Hossain, J Akter, S B Quraishi, M F Haque Shojib, A K M Atique Ullah, M F Khan. (2018). Concentration of heavy metals in seafood (fishes, shrimp, lobster and crabs) and human health assessment in Saint Martin Island, Bangladesh. Ecotoxicology and Environmental Safety, 159: 153–163
https://doi.org/10.1016/j.ecoenv.2018.04.035
5 L Chen (2013). Exposure Levels and Health Risk Assessment of Trace Elements in Food of Animal Origin and Wild Fish in Taihu Lake in Shanghai. Shanghai University: Dissertation for the Master Degree (in Chinese)
6 A Condor, M Custodio, F Chanamé, W Cuadrado, R Peñaloza. (2021). Heavy metals and arsenic in water, sediment and the muscle of Oncorhynchus mykiss from the Tishgo River in the Central Andes of Peru. Journal of Ecological Engineering, 22(4): 156–166
https://doi.org/10.12911/22998993/134045
7 L Cui, J Li, X Gao, B Tian, J Zhang, X Wang, Z Liu. (2022). Human health ambient water quality criteria for 13 heavy metals and health risk assessment in Taihu Lake. Frontiers of Environmental Science & Engineering, 16(4): 41
https://doi.org/10.1007/s11783-021-1475-6
8 M G da Fonseca, M M de Oliveira, L N Arakaki. (2006). Removal of cadmium, zinc, manganese and chromium cations from aqueous solution by a clay mineral. Journal of Hazardous Materials, 137(1): 288–292
https://doi.org/10.1016/j.jhazmat.2006.02.001
9 Y Dai, J Zhao, C Sun, D Li, X Liu, Z Wang, T Yue, B Xing. (2022). Interaction and combined toxicity of microplastics and per- and polyfluoroalkyl substances in aquatic environment. Frontiers of Environmental Science & Engineering, 16(10): 136
10 L V Dung, N T Tue, P V Lam, T D Quy, V M Canh, N D Tam, M T Nhuan. (2023). Stable isotopes (δ13C and δ15N) and trace elements of invertebrates and fish from the coastal waters of Ha Tinh Province, Central Vietnam. Archives of Environmental Contamination and Toxicology, 85: 229–244
https://doi.org/10.1007/s00244-023-00992-5
11 Panel on Additives EFSA, or Substances used in Animal Feed (FEEDAP) Products. (2012). Scientific opinion on the safety and efficacy of tetra-basic zinc chloride for all animal species. EFSA Journal, 10(5): 2672
https://doi.org/10.2903/j.efsa.2012.2672
12 T Fang, W Lu, K Cui, J Li, K Yang, X Zhao, Y Liang, H Li. (2019). Distribution, bioaccumulation and trophic transfer of trace metals in the food web of Chaohu Lake, Anhui, China. Chemosphere, 218: 1122–1130
https://doi.org/10.1016/j.chemosphere.2018.10.107
13 Z Fu, F Wu, D Amarasiriwardena, C Mo, B Liu, J Zhu, Q Deng, H Liao. (2010). Antimony, arsenic and mercury in the aquatic environment and fish in a large antimony mining area in Hunan, China. Science of the Total Environment, 408(16): 3403–3410
https://doi.org/10.1016/j.scitotenv.2010.04.031
14 J Hu, C Zhu, Y Long, Q Yang, S Zhou, P Wu, J Jiang, W Zhou, X Hu. (2021). Interaction analysis of hydrochemical factors and dissolved heavy metals in the karst Caohai Wetland based on PHREEQC, cooccurrence network and redundancy analyses. Science of the Total Environment, 770: 145361
https://doi.org/10.1016/j.scitotenv.2021.145361
15 A Ikem, N O Egiebor. (2005). Assessment of trace elements in canned fishes (mackerel, tuna, salmon, sardines and herrings) marketed in Georgia and Alabama (United States of America). Journal of Food Composition and Analysis, 18(8): 771–787
https://doi.org/10.1016/j.jfca.2004.11.002
16 X Jiang, J Wang, B Pan, D Li, Y Wang, X Liu. (2022). Assessment of heavy metal accumulation in freshwater fish of Dongting Lake, China: effects of feeding habits, habitat preferences and body size. Journal of Environmental Sciences (China), 112: 355–365
https://doi.org/10.1016/j.jes.2021.05.004
17 M Khan, M Hasan, M Khan, S Aktar, K Fatema. (2017). Distribution of heavy metals in surface sediments of the Bay of Bengal Coast. Journal of Toxicology, 2017: 1–7
https://doi.org/10.1155/2017/9235764
18 M Lebrato, D Garbe-Schönberg, M N Müller, S Blanco-Ameijeiras, R A Feely, L Lorenzoni, J C Molinero, K Bremer, D O Jones, D Iglesias-Rodriguez. et al.. (2020). Global variability in seawater Mg: Ca and Sr: Ca ratios in the modern ocean. Proceedings of the National Academy of Sciences of the United States of America, 117(36): 22281–22292
https://doi.org/10.1073/pnas.1918943117
19 K Liu, X Guan, C Li, K Zhao, X Yang, R Fu, Y Li, F Yu. (2022a). Global perspectives and future research directions for the phytoremediation of heavy metal-contaminated soil: a knowledge mapping analysis from 2001 to 2020. Frontiers of Environmental Science & Engineering, 16(6): 73
https://doi.org/10.1007/s11783-021-1507-2
20 X R Liu, W S Liu, Y T Tang, S Z Wang, Y J Cao, Z W Chen, C D Xie, C Liu, M N Guo, R L Qiu. (2022b). Effects of in situ leaching on the origin and migration of rare earth elements in aqueous systems of South China: Insights based on REE patterns, and Ce and Eu anomalies. Journal of Hazardous Materials, 435: 128959
https://doi.org/10.1016/j.jhazmat.2022.128959
21 P K Maurya, D S Malik, K K Yadav, A Kumar, S Kumar, H Kamyab. (2019). Bioaccumulation and potential sources of heavy metal contamination in fish species in River Ganga basin: possible human health risks evaluation. Toxicology Reports, 6: 472–481
https://doi.org/10.1016/j.toxrep.2019.05.012
22 Ministry of Health (2002). Environmental Quality Standards for Surface Water. GB 3838–2002. Beijing: Ministry of Health of the People’s Republic of China (in Chinese)
23 E B Mwakalapa, C K Simukoko, A J Mmochi, R H Mdegela, V Berg, Müller M H Bjorge, J L Lyche, A Polder. (2019). Heavy metals in farmed and wild milkfish (Chanos) and wild mullet (Mugil cephalus) along the coasts of Tanzania and associated health risk for humans and fish. Chemosphere, 224: 176–186
https://doi.org/10.1016/j.chemosphere.2019.02.063
24 S Peng, G Zhang, D Wang. (2023). Association of selenium intake with bone mineral density and osteoporosis: The national health and nutrition examination survey. Frontiers in Endocrinology, 14: 1251838
https://doi.org/10.3389/fendo.2023.1251838
25 M S Rahman, S Akther, A S Ahmed, N Saha, L S Rahman, M K Ahmed, T Arai, A M Idris. (2022). Distribution and source apportionment of toxic and trace elements in some benthic and pelagic coastal fish species in Karnaphuli River Estuary, Bangladesh: risk to human health. Marine Pollution Bulletin, 183: 114044
https://doi.org/10.1016/j.marpolbul.2022.114044
26 H Rezaei, A Zarei, B Kamarehie, A Jafari, Y Fakhri, F Bidarpoor, M A Karami, M Farhang, M Ghaderpoori, H Sadeghi. et al.. (2019). Levels, distributions and health risk assessment of lead, cadmium and arsenic found in drinking groundwater of Dehgolan’s villages, Iran. Toxicology and Environmental Health Sciences, 11(1): 54–62
https://doi.org/10.1007/s13530-019-0388-2
27 H Sato, N Shibasaki, M Gusyev, Y Onda, D Veremenko (2023). Changes in 90Sr transport dynamics in groundwater after large-scale groundwater drawdown in the vicinity of the cooling pond at the Chornobyl Nuclear Power Plant. In: Proceedings of EGU General Assembly 2023, Vienna, Austria, 24–28 Apr. 2023, EGU23-5042. Vienna: EGU General Assembly
28 S Satoh, Y Haga, H Fushimi, T Kotani. (2008). Effect of zinc and manganese supplementation in Artemia on growth and vertebral deformity in Red Sea bream (Pagrus major) larvae. Aquaculture, 285(1–4): 184–192
https://doi.org/10.1016/j.aquaculture.2008.08.030
29 M SchidlowskiJ HayesI R (1983) Kaplan. Isotopic Inferences of Ancient Biochemistries-Carbon, Sulfur, Hydrogen, and Nitrogen. Princeton: Princton University Press
30 M S Sultana, S Rana, S Yamazaki, T Aono, S Yoshida. (2017). Health risk assessment for carcinogenic and non-carcinogenic heavy metal exposures from vegetables and fruits of Bangladesh. Cogent Environmental Science, 3(1): 1291107
https://doi.org/10.1080/23311843.2017.1291107
31 R Sun, X Luo, B Tang, L Chen, Y Liu, B Mai. (2017). Bioaccumulation of short chain chlorinated paraffins in a typical freshwater food web contaminated by e-waste in South China: bioaccumulation factors, tissue distribution, and trophic transfer. Environmental Pollution, 222: 165–174
https://doi.org/10.1016/j.envpol.2016.12.060
32 M Szara-Bąk, A Baran, A Klimkowicz-Pawlas, J Tkaczewska, B Wojtasik. (2021). Mobility, ecotoxicity, bioaccumulation and sources of trace elements in the bottom sediments of the Rożnów Reservoir. Environmental Geochemistry and Health, 43(11): 4701–4718
https://doi.org/10.1007/s10653-021-00957-4
33 A Teklay. (2016). Physiological effect of chromium exposure: a review. International Journal of Food Science, Nutrition and Dietetics, 7: 1–11
https://doi.org/10.19070/2326-3350-si07001
34 K Telford, W Maher, F Krikowa, S Foster, M J Ellwood, P M Ashley, P V Lockwood, S C Wilson. (2009). Bioaccumulation of antimony and arsenic in a highly contaminated stream adjacent to the Hillgrove Mine, NSW, Australia. Environmental Chemistry, 6(2): 133–143
https://doi.org/10.1071/EN08097
35 USEPA (2023). Regional Screening Level (RSL) Summary Table (TR = 1E–06 THQ = 1.0). Washington, DC: USEPA
36 M Varol, E Kaçar, M R Sünbül, Towfiqul Islam A R Md. (2022). Levels of metals and elements in tissues of fish species in the Kızılırmak River (Turkey) and assessment of health risks and nutritional benefits. Environmental Research, 214: 113791
https://doi.org/10.1016/j.envres.2022.113791
37 M Vinceti, T Filippini, S Cilloni, A Bargellini, A V Vergoni, A Tsatsakis, M Ferrante. (2017). Health risk assessment of environmental selenium: emerging evidence and challenges. Molecular Medicine Reports, 15(5): 3323–3335
https://doi.org/10.3892/mmr.2017.6377
38 Y Wu, Z Leng, J Li, C Yan, X Wang, H Jia, L Chen, S Zhang, X Zheng, D Du. (2022). Sulfur mediated heavy metal biogeochemical cycles in coastal wetlands: from sediments, rhizosphere to vegetation. Frontiers of Environmental Science & Engineering, 16(8): 102
https://doi.org/10.1007/s11783-022-1523-x
39 S Yamaguchi, C Miura, A Ito, T Agusa, H Iwata, S Tanabe, B C Tuyen, T Miura. (2007). Effects of lead, molybdenum, rubidium, arsenic and organochlorines on spermatogenesis in fish: monitoring at Mekong Delta area and in vitro experiment. Aquatic Toxicology, 83(1): 43–51
https://doi.org/10.1016/j.aquatox.2007.03.010
40 J Yin, Q Liu, L Wang, J Li, S Li, X Zhang. (2018). The distribution and risk assessment of heavy metals in water, sediments, and fish of Chaohu Lake, China. Environmental Earth Sciences, 77: 97
https://doi.org/10.1007/s12665-018-7276-y
41 Y Zhao, F Wu, Y Chi (2013). Application of total organic carbon isotope composition in paleoenvironment study. Journal of Earth environment, 6: 1519–1530 (in Chinese)
[1] FSE-24021-OF-HM_suppl_1 Download
[1] Shuanggang Hu, Hongzhi Zhang, Yongjie Yang, Kangping Cui, Junjie Ao, Xuneng Tong, Mengchen Shi, Yi Wang, Xing Chen, Chenxuan Li, Yihan Chen. Comprehensive insight into the occurrence characteristics, influencing factors and risk assessments of antibiotics in the Chaohu Basin[J]. Front. Environ. Sci. Eng., 2024, 18(5): 57-.
[2] Yating Wei, Dong Hu, Chengsong Ye, Heng Zhang, Haoran Li, Xin Yu. Drinking water quality & health risk assessment of secondary water supply systems in residential neighborhoods[J]. Front. Environ. Sci. Eng., 2024, 18(2): 18-.
[3] Shengqi Zhang, Qian Yin, Siqin Wang, Xin Yu, Mingbao Feng. Integrated risk assessment framework for transformation products of emerging contaminants: what we know and what we should know[J]. Front. Environ. Sci. Eng., 2023, 17(7): 91-.
[4] Junmei Guo, Yuexing Wei, Junxing Yang, Tongbin Chen, Guodi Zheng, Tianwei Qian, Xiaona Liu, Xiaofei Meng, Mengke He. Cultivars and oil extraction techniques affect Cd/Pb contents and health risks in oil of rapeseed grown on Cd/Pb-contaminated farmland[J]. Front. Environ. Sci. Eng., 2023, 17(7): 87-.
[5] Xingyue Qu, Peihe Zhai, Longqing Shi, Xingwei Qu, Ahmer Bilal, Jin Han, Xiaoge Yu. Distribution, enrichment mechanism and risk assessment for fluoride in groundwater: a case study of Mihe-Weihe River Basin, China[J]. Front. Environ. Sci. Eng., 2023, 17(6): 70-.
[6] Haojun Lei, Kaisheng Yao, Bin Yang, Lingtian Xie, Guangguo Ying. Occurrence, spatial and seasonal variation, and environmental risk of pharmaceutically active compounds in the Pearl River basin, South China[J]. Front. Environ. Sci. Eng., 2023, 17(4): 46-.
[7] Shijin Wu, Zijing Xiang, Daohui Lin, Lizhong Zhu. Multimedia distribution and health risk assessment of typical organic pollutants in a retired industrial park[J]. Front. Environ. Sci. Eng., 2023, 17(11): 142-.
[8] Wenwen Gong, Yu Xing, Lihua Han, Anxiang Lu, Han Qu, Li Xu. Occurrence and distribution of micro- and mesoplastics in the high-latitude nature reserve, northern China[J]. Front. Environ. Sci. Eng., 2022, 16(9): 113-.
[9] Yaoqian Zhong, Bingxin Xia, Jianwu Shi, Ping Ning, Chaoneng Zhang, Xinyu Han, Jiming Hao. Particle-bound polycyclic aromatic hydrocarbons in typical urban of Yunnan-Guizhou Plateau: Characterization, sources and risk assessment[J]. Front. Environ. Sci. Eng., 2022, 16(9): 114-.
[10] Hua Long, Yang Liao, Changhao Cui, Meijia Liu, Zeiwei Liu, Li Li, Wenzheng Hu, Dahai Yan. Assessment of popular techniques for co-processing municipal solid waste in Chinese cement kilns[J]. Front. Environ. Sci. Eng., 2022, 16(4): 51-.
[11] Liang Cui, Ji Li, Xiangyun Gao, Biao Tian, Jiawen Zhang, Xiaonan Wang, Zhengtao Liu. Human health ambient water quality criteria for 13 heavy metals and health risk assessment in Taihu Lake[J]. Front. Environ. Sci. Eng., 2022, 16(4): 41-.
[12] Zhike Li, Jie Chi, Zhenyu Wu, Yiyan Zhang, Yiran Liu, Lanlan Huang, Yiren Lu, Minhaz Uddin, Wei Zhang, Xuejun Wang, Yan Lin, Yindong Tong. Characteristics of plankton Hg bioaccumulations based on a global data set and the implications for aquatic systems with aggravating nutrient imbalance[J]. Front. Environ. Sci. Eng., 2022, 16(3): 37-.
[13] Yanfeng Yang, Ruina Zhang, Ziyang Lou. Bioaerosol emissions variations in large-scale landfill region and their health risk impacts[J]. Front. Environ. Sci. Eng., 2022, 16(12): 158-.
[14] Yuan Meng, Weiyi Liu, Heidelore Fiedler, Jinlan Zhang, Xinrui Wei, Xiaohui Liu, Meng Peng, Tingting Zhang. Fate and risk assessment of emerging contaminants in reclaimed water production processes[J]. Front. Environ. Sci. Eng., 2021, 15(5): 104-.
[15] Yunping Han, Lin Li, Ying Wang, Jiawei Ma, Pengyu Li, Chao Han, Junxin Liu. Composition, dispersion, and health risks of bioaerosols in wastewater treatment plants: A review[J]. Front. Environ. Sci. Eng., 2021, 15(3): 38-.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed