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Evaluation of the diference in water quality between urban and suburban rivers based on self organizing map

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Urban rivers play an important role in maintaining the urban aquatic ecological environment, and there are bound to be differences in the water environment quality and pollution sources due to different locations of urban rivers. Therefore, this paper selects the urban river (Tuo River) and the suburban river (Bian River) in Suzhou City, Anhui, China, as the research objects. Based on the understanding of the hydrogeochemical characteristics of these two rivers, the self-organizing map is used to identify the main control factors that affect the water quality of the two rivers. The results showed that both the Bian river and Tuo river were weakly alkaline. The average content of conventional ions in Tuo river is less than that of Bian river (except HCO3 −); the water of Bian river was of Na–SO4–Cl type, and the water of Tuo river was mainly of Na–HCO3 type, with the minority was of Na–SO4–Cl type; Silicate weathering is an important source of conventional ions in the water of these two rivers; agricultural non-point source pollution is the main source of pollutants in Bian river, while Tuo river was mainly affected by natural factors, and human activities had little impact.
Czasopismo
Rocznik
Strony
1855--1864
Opis fizyczny
Bibliogr. 31 poz.
Twórcy
autor
  • School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, Anhui, China
  • National Engineering Research Center of Coal Mine Water Hazard Controlling, Suzhou University, Suzhou 234000, Anhui, China
autor
  • National Engineering Research Center of Coal Mine Water Hazard Controlling, Suzhou University, Suzhou 234000, Anhui, China
autor
  • School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, Anhui, China
  • National Engineering Research Center of Coal Mine Water Hazard Controlling, Suzhou University, Suzhou 234000, Anhui, China
autor
  • School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, Anhui, China
  • National Engineering Research Center of Coal Mine Water Hazard Controlling, Suzhou University, Suzhou 234000, Anhui, China
autor
  • School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, Anhui, China
  • National Engineering Research Center of Coal Mine Water Hazard Controlling, Suzhou University, Suzhou 234000, Anhui, China
autor
  • School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, Anhui, China
  • National Engineering Research Center of Coal Mine Water Hazard Controlling, Suzhou University, Suzhou 234000, Anhui, China
autor
  • Anhui Provincial Bureau of Coal Geology Hydrologic Exploration Team, Suzhou 234000, Anhui, China
autor
  • National Engineering Research Center of Coal Mine Water Hazard Controlling, Suzhou University, Suzhou 234000, Anhui, China
autor
  • National Engineering Research Center of Coal Mine Water Hazard Controlling, Suzhou University, Suzhou 234000, Anhui, China
autor
  • School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, Anhui, China
  • School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 232000, Anhui, China
autor
  • National Engineering Research Center of Coal Mine Water Hazard Controlling, Suzhou University, Suzhou 234000, Anhui, China
Bibliografia
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  • 5. Bieroza M, Baker A, Bridgeman J (2011) Classification and calibration of organic matter fluorescence data with multiway analysis methods and artificial neural networks: an operational tool for improved drinking water treatment. Environmetrics 22:256–270. https://doi.org/10.1002/env.1045
  • 6. Bieroza M, Baker A, Bridgeman J (2012) Exploratory analysis of excitation-emission matrix fluorescence spectra with self-organizing maps—a tutorial. Educ Chem Eng. https://doi.org/10.1016/j.ece.2011.10.002
  • 7. Chen IT, Chang LC, Chang FJ (2017) Exploring the spatio-temporal interrelation between groundwater and surface water by using the self-organizing maps. J Hydrol. https://doi.org/10.1016/j.jhydrol.2017.10
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  • 10. Hua K, Xiao J, Li SJ, Li Z (2020) Analysis of hydrochemical characteristics and their controlling factors in the Fen River of China. Sustain Urban Areas 52:10. https://doi.org/10.1016/j.scs.2019.101827
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  • 16. Nakagawa K, Amano H, Kawamura A, Berndtsson R (2017) Classification of groundwater chemistry in Shimabara, using self-organizing maps. Hydrol Res 48:840–850. https://doi.org/10.2166/nh.2016.072
  • 17. Pant RR, Zhang F, Rehman FU, Wang G, Ye M (2017) Spatiotemporal variations of hydrogeochemistry and its controlling factors in the Gandaki River Basin, Central Himalaya Nepal. Sci Total Environ 622–623:770–782. https://doi.org/10.1016/j.scitotenv.2017
  • 18. Prasanna MV, Chidambaram S, Gireesh TV, Ali TVJ (2011) A study on hydrochemical characteristics of surface and sub-surface water in and around Perumal Lake, Cuddalore district, Tamil Nadu, South India. Environ Earth Sci 63:31–47. https://doi.org/10.1007/s12665-010-0664-6
  • 19. Simsek C, Elci A, Gunduz O, Erdogan B (2008) Hydrogeological and hydrogeochemical characterization of a karstic mountain region. Environ Geol 54:291–308. https://doi.org/10.1007/s00254-007-0817-4
  • 20. Singh D, Kumar K, Singh C, Ahmad T (2020) Assessment of water quality of Holy Kali Bein rivulet (Punjab) India, using multivariate statistical analysis. Int J Environ Anal Chem. https://doi.org/10.1080/03067319.2020.1817425
  • 21. Singh SK, Sarin MM, France-Lanord C (2005) Chemical erosion in the eastern Himalaya: Major ion composition of the Brahmaputra and δ 13C of dissolved inorganic carbon. Geochim Cosmochim Acta 69:3573–3588. https://doi.org/10.1016/j.gca.2005.02.033
  • 22. Tang JF, Li XH, Cao CL, Lin MX, Qiu QLL, Xu YY, Ren Y (2019) Compositional variety of dissolved organic matter and its correlation with water quality in peri-urban and urban river watersheds. Ecol Ind 104:459–469. https://doi.org/10.1016/j.ecolind.2019.05.025
  • 23. Valappil NKM, Viswanathan PM, Hamza V (2020) Seasonal hydrochemical dynamics of surface water in the Limbang River, Northern Borneo-evaluating for spatial and temporal trends. Arab J Geosci. https://doi.org/10.1007/s12517-020-05936-0
  • 24. Venkata VPD, Venkataramana LY, Kumar PS, Prasannamedha G, Poornema AJ (2020) Water quality analysis in a lake using deep learning methodology: prediction and validation. Int J Environ Anal Chem. https://doi.org/10.1080/03067319.2020
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  • 26. Yu H, Gui HR, Jiang YQ, Li ZC, Wang MC, Fang HX, Wang CL, Chen C, Qiu HL, Zhang YR (2020) Characteristics of dissolved organic matter content in urban rivers under different environmental impact Zones: A case study of China’s Tuo River. Pol J Environ Stud 29:3891–3900. https://doi.org/10.15244/pjoes/118391
  • 27. Yu H, Gui HR, Zhao HH, Wang MC, Li J, Fang HX, Jiang YQ, Zhang YR (2020b) Hydrochemical characteristics and water quality evaluation of shallow groundwater in Suxian mining area, Huaibei coalfield, China. Int J Coal Sci Technol 7:825–835. https://doi.org/10.1007/s40789-020-00365-6
  • 28. Yuan YY, Liu YL, Luo KL, Shahid MZ (2020) Hydrochemical characteristics and a health risk assessment of the use of river water and groundwater as drinking sources in a rural area in Jiangjin District, China. Environ Earth Sci 79:15. https://doi.org/10.1007/s12665-020-8900-1
  • 29. Zelazny M, Astel A, Wolanin A, Maek S (2011) Spatiotemporal dynamics of spring and stream water chemistry in a high-mountain area. Environ Pollut 159:1048–1057. https://doi.org/10.1016/j.envpol.2010.11.021
  • 30. Zhang B, Zhao D, Zhou P, Qu S, Liao F, Wang G (2020) Hydrochemical characteristics of groundwater and dominant water–rock interactions in the Delingha Area, Qaidam Basin, Northwest China. Eng 12:836. https://doi.org/10.3390/w12030836
  • 31. Zheng LG, Chen X, Dong XL, Wei XP, Jiang CL, Tang Q (2019) Using δ34S–SO4 and δ18O–SO4 to trace the sources of sulfate in different types of surface water from the Linhuan coal-mining subsidence area of Huaibei, China. Ecotoxicol Environ Saf 181:231–240. https://doi.org/10.1016/j.ecoenv.2019.06.001
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4b447b5a-7219-4e03-8f5c-f13330c70af1
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