Institute of Hydrogeology and Environmental Geology,
Chinese Academy of Geological Sciences
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Groundwater Science and Engineering LimitedPublish
2023 Vol. 11, No. 4
Article Contents

Zhang Ya-wei, Liu Yun-tao, Wang Zi-wen, Cao Yu, Tu Xiao-ran, Cao Di, Yuan Shuai, Cheng Xiao-man, Zhang Lian-sheng. 2023. Source analysis of dissolved heavy metals in the Shaying River Basin, China. Journal of Groundwater Science and Engineering, 11(4): 408-421. doi: 10.26599/JGSE.2023.9280032
Citation: Zhang Ya-wei, Liu Yun-tao, Wang Zi-wen, Cao Yu, Tu Xiao-ran, Cao Di, Yuan Shuai, Cheng Xiao-man, Zhang Lian-sheng. 2023. Source analysis of dissolved heavy metals in the Shaying River Basin, China. Journal of Groundwater Science and Engineering, 11(4): 408-421. doi: 10.26599/JGSE.2023.9280032

Source analysis of dissolved heavy metals in the Shaying River Basin, China

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  • Over the years, the Shaying River Basin has experienced frequent instances of river pollution. The presence of numerous critical pollutant discharge enterprises and sewage-treatment plants in the vicinity of the Shaying River has transformed it a major tributary with relatively serious pollution challenge within the upper reaches of Huaihe River Basin. To study the sources of manganese (Mn), chromium (Cr), nickel (Ni), arsenic (As), cadmium (Cd) and lead (Pb) in Shaying River water, 123 sets of surface water samples were collected from 41 sampling points across the entire basin during three distinct phases from 2019 to 2020, encompassing normal water period, dry season and wet season. The primary origins of heavy metals in river water were determined by analyzing the heavy metal contents in urban sewage wastewater, industrial sewage wastewater, groundwater, mine water, and the heavy metal contributions from agricultural non-point source pollution. The analytical findings reveal that Mn primarily originates from shallow groundwater used for agricultural irrigation, While Cr mainly is primarily sourced from urban sewage treatment plant effluents, coal washing wastewater, tannery wastewater, and industrial discharge related to metal processing and manufacturing. Ni is mainly contributed by urban sewage treatment plant effluents and industrial wastewater streams associated with machinery manufacturing and metal processing. Cd primarily linked to industrial wastewater, particularly from machinery manufacturing and metal processing facilities, while Pb is predominantly associated with urban sewage treatment plant effluents and wastewater generated in Pb processing and recycling wastewater. These research provides a crucial foundation for addressing the prevention and control of dissolved heavy metals at their sources in the Shaying River.

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  • Bao FQ, Cheng HX, Yong S, et al. 2022. Environmental geochemistry of arsenic and cadmium in cultivated land around Baotou industrial zone. Geology and resources, 31(04): 516−522+507. (in Chinese) DOI:10.13686/j.cnki.dzyzy.2022.04.008.

    CrossRef Google Scholar

    Bhardwaj R, Gupta A, Garg JK. 2017. Evaluation of heavy metal contamination using environmetrics and indexing approach for River Yamuna, Delhi stretch, India. Water Science, 31(1): 52−66. DOI:10.1016/j.wsj.2017.02.002.

    CrossRef Google Scholar

    Bhupal RG, Chandni P, Surendra B, et al. 2014. Heavy metal contamination in soil, water, fodder, paddy and some popular vegetables due to polluted Musi River irrigation around Hyderabad City in Telangana State of India. International Scientific Academy of Engineering and Technology (ISAET) Conference Proceeding. International Institute of Science Engineering and Management, International Scientific Academy of Engineering and Technology: International Scientific Academy of Engineering and Technology.

    Google Scholar

    Chen H, Zuo QT, Dou M. et al. 2014. Research progress and prospects of heavy metal pollution in river sediment. Yellow River, 36(5): 71-75. (in Chinese)

    Google Scholar

    Chen NW, Wang DL, Lu T, et al. 2018. Manganese pollution in the Jiulong River watershed: Sources and transformation. Acta Scientiae Circumstantiae, 38(08): 2955−2964. (in Chinese) DOI:10.13671/j.hjkxxb.2018.0232.

    CrossRef Google Scholar

    Christian O, Jens H, Nina Z. 2015. Heavy metal concentrations in pores and surface waters during the emptying of a small reservoir. Journal of Geoscience and Environment Protection, 3: 66-72.

    Google Scholar

    Chu JT. 2001. Effect of Shaying River flow and water quality on Huaihe River pollution. Water Resources Protection, (03): 4-7 + 59. (in Chinese)

    Google Scholar

    Dai B, Lv JS, Zhan JC. et al. 2015. Assessment of sources, spatial distribution and ecological risk of heavy metals in soils in a typical industry-based city of Shandong Province, Eastern China. Environmental Science, 36(02): 507−515. (in Chinese) DOI:10.13227/j.hjkx.2015.02.018.

    CrossRef Google Scholar

    Ding TT, Li Q, Du SL, et al. 2019. Characteristics of heavy metal pollution and ecological risk assessment in the water environment of Shaying River Basin. Environmental Chemistry, 38(10): 2386−2401. (in Chinese)

    Google Scholar

    Feng CT, Zhao AJ, Li SJ. 2012. Determination of copper, zinc, lead, and cadmium concentration in Shaying River water. Henan Chemical Industry, 29(Z2): 49−52. (in Chinese) DOI:10.14173/j.cnki.hnhg.2012.z2.006.

    CrossRef Google Scholar

    Gómez-Alvarez A, Meza-Figueroa D, Valenzuela-García JL. et al. 2014. Behavior of metals under different seasonal conditions: Effects on the quality of a Mexico-USA Border River. Water, Air, & Soil Pollution, 225: 2138−2150. DOI:10.1007/s11270-014-2138-z.

    CrossRef Google Scholar

    He WL, Gui HR, Yuan ZH, et al. 2009. Removal of lead, cadmium, iron and manganese from mine water by potassium permanganate. Industrial Water Treatment, 29(10): 83-86. (in Chinese)

    Google Scholar

    Terrazas-Salvatierra J, Munoz-Vásquez G, Romero-Jaldin A. 2020. Migration of total chromium and chloride anion in the Rocha River used for estimating degradation of agricultural soil quality at the Thiu Rancho zone. Journal of Groundwater Science and Engineering, 8(03): 223−229. DOI:10.19637/j.cnki.2305-7068.2020.03.003.

    CrossRef Google Scholar

    Li MY, Xu JR, Shi ZW. 2009. Spatiotemporal differentiation characteristics of heavy metals in Künes River in Xinjiang. Environmental Chemistry, 28(05): 716−720. (in Chinese)

    Google Scholar

    Liu T, Zhou GS, Tan KY, et al. 2016. Research progress of winter wheat irrigation system and its environmental effects in North China. Journal of Ecology, 5979−5986. (in Chinese)

    Google Scholar

    Ross CL, Sensel-Gunke K, Wilken V, et al. 2016. Heavy metal distribution in soil and crops after agricultural application of Biowaste-Based Digestates. Health and Environmental Research Online, 1405−1410.

    Google Scholar

    Sundaray SK, Nayak BB, Kanungo TK, et al. 2012. Dynamics and quantification of dissolved heavy metals in the Mahanadi river estuarine system, India. Environ Monit Assess, 184: 1157-1179.

    Google Scholar

    Varol M, Gökot B, Bekleyen A. 2013. Dissolved heavy metals in the Tigris River (Turkey): Spatial and temporal variations. Environmental Science Pollution Research, 20: 6096−6108. DOI:10.1007/s11356-013-1627-8.

    CrossRef Google Scholar

    Wang MM. 2016. Risk assessment and source apportionment of heavy metals in typical rivers of Taihu Lake Basin. Nanjing: Nanjing University. (in Chinese)

    Google Scholar

    Wang YP. 2012. Characteristics of water quality and heavy metals in Guangdong section of the Pearl River Basin. Guangzhou: South China University of Technology. (in Chinese)

    Google Scholar

    Wang Z, Liu M, Lin L, et al. 2019. Spatio-temporal distribution and pollution assessment of heavy metals in the Middle and Lower Reaches of Hanjiang River. Journal of Yangtze River Scientific Research Institute, 38(09): 40−47. (in Chinese)

    Google Scholar

    Wu L, Liu GJ, Zhou CC, et al. 2018. Temporal-spatial distribution and pollution assessment of soluble heavy metals in Chaohu Lake. Environmental Science, 39(02): 738−747. DOI:10.13227/j.hjkx.201703099.

    CrossRef Google Scholar

    Wu YY, Liu YT, Zhang D, et al. 2021. The effect of anthropogenic input on the hydrochemical composition of water bodies in the Shaying River Basin. Chinese Journal of Ecology, 40(02): 427−441. (in Chinese) DOI:10.13292/j.1000-4890.202102.004.

    CrossRef Google Scholar

    Yu Y, Lv YN, Wang WJ, et al. 2020. Spatio-Temporal distribution and risk assessment of heavy metals in Middle and Lower Reaches of Le'an River. Environmental Science, 41(02): 691−701. (in Chinese) DOI:10.13227/j.hjkx.201905026.

    CrossRef Google Scholar

    Zamora-Ledezma C,  Negrete-Bolagay D,  Figueroa F, et al.  2021. Heavy metal water pollution: A fresh look about hazards, novel and conventional remediation methods. Environmental Technology & Innovation, 22.

    Google Scholar

    Zhang D, Yang JM, Huang XY, et al. 2019. Source of dissolved heavy metals in the Yiluo River Basin based on sulfur isotopes of sulfate. China Environmental Science, 39(06): 2549−2559. (in Chinese) DOI:10.19674/j.cnki.issn1000-6923.2019.0304.

    CrossRef Google Scholar

    Zhang WJ, Xin CL, Yu S, et al. 2021. Spatial-temporal distribution and pollution evaluation of dissolved heavy metals in the Liujiang River Basin. Environmental Science: 1-22. (in Chinese)

    Google Scholar

    Zhang Y, Li FD, Ouyang Z, et al. 2013. Distribution and health risk assessment of heavy metals of groundwater in the irrigation district of the Lower Reaches of Yellow River. Environmental Science, 34(01): 121−128. (in Chinese) DOI:10.13227/j.hjkx.2013.01.028.

    CrossRef Google Scholar

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