TRACKING BACTERIA AND FUNGI DIVERSITY FROM NATURAL WATER SOURCES TO DRINKING WATER TREATMENT PLANTS AND DISTRIBUTION SYSTEMS - A REVIEW

被引:1
|
作者
Mudau, K. L. [1 ]
Kalu, C. M. [1 ]
Masindi, V. [1 ,2 ]
Maphangwa, K. W. [1 ]
Tekere, M. [1 ]
机构
[1] Univ South Africa, Coll Agr & Environm Sci, Dept Environm Sci, ZA-1710 Florida, South Africa
[2] Sci Serv, Res & Dev Div, Magalies Water, Brits, South Africa
来源
APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH | 2024年 / 22卷 / 01期
关键词
artificial intelligence; membrane technology; anthropogenic activities; coagulation-flocculation; disinfection stage; ANTIBIOTIC-RESISTANCE GENES; ARTIFICIAL NEURAL-NETWORKS; DISINFECTION BY-PRODUCTS; MICROBIAL COMMUNITIES; BIOFILM FORMATION; ORGANIC-MATTER; SURFACE-WATER; HEXAVALENT CHROMIUM; FILAMENTOUS FUNGI; SUPPLY SYSTEM;
D O I
10.15666/aeer/2201_507537
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The complete removal of bacterial and fungal communities found in natural water sources by drinking water treatment plants (DWTPs) is a global issue of concern as many of these microbes are passed down to the end users through the drinking water distribution systems (DWDSs). An overview of the bacterial and fungal communities present in natural water sources is provided. The abundance of the bacterial and fungal communities in the final water exiting DWTPs and tap water from DWDSs provides an insight into the treatment plants' effectiveness. Information on the different technologies including artificial intelligence (AI) used in the water treatment plants was collated to elucidate their role in drinking water treatment. Based on previous studies, Proteobacteria, Firmicutes, Nitrospirae, and Actinobacteria are the predominant bacterial phyla while Aspergillus, Cladosporium and Penicillium, Fusarium and Trichoderma are the predominant fungal phyla identified in the final water and tap water. Information on the performance of advanced treatment shows the positive impact of the technology in bacteria and fungi removal. Furthermore, the application of AI in water treatment for the determination of coagulant dosages and prediction of the disinfectant is also promising. Research gaps were identified, and future studies were recommended to address water treatment concerns.
引用
收藏
页码:507 / 537
页数:31
相关论文
共 50 条
  • [41] Thermal energy recovery from chlorinated drinking water distribution systems: Effect on chlorine and microbial water and biofilm characteristics
    Zhou, Xinyan
    Ahmad, Jawairia Imtiaz
    van Der Hoek, Jan Peter
    Zhang, Kejia
    ENVIRONMENTAL RESEARCH, 2020, 187
  • [42] Deciphering the diversity and assemblage mechanisms of nontuberculous mycobacteria community in four drinking water distribution systems with different disinfectants
    Yang, Jinhao
    Hu, Yuxing
    Zhang, Yue
    Zhou, Shuang
    Meng, Die
    Xia, Siqing
    Wa, Hong
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 907
  • [43] Zwitterionic poly(sulfobetaine methacrylate)-based hydrogel coating for drinking water distribution systems to inhibit adhesion of waterborne bacteria
    Sojka, Olga
    van der Mei, Henny C. C.
    van Rijn, Patrick
    Gagliano, Maria Cristina
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2023, 11
  • [44] Endocrine disrupting compounds (EDCs) in source water, finished water, and tap water from drinking water treatment plants and its human risk assessment in Chengdu Plain, China
    Yu Jian
    Xia Yunting
    Tian Xianghong
    Zhang Rong
    Bian Zhanqiang
    HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2022, 28 (08): : 862 - 877
  • [45] DNase I and Proteinase K eliminate DNA from injured or dead bacteria but not from living bacteria in microbial reference systems and natural drinking water biofilms for subsequent molecular biology analyses
    Villarreal, Jessica Varela
    Jungfer, Christina
    Obst, Ursula
    Schwartz, Thomas
    JOURNAL OF MICROBIOLOGICAL METHODS, 2013, 94 (03) : 161 - 169
  • [46] A review on sources, identification and treatment strategies for the removal of toxic Arsenic from water system
    Rathi, B. Senthil
    Kumar, P. Senthil
    JOURNAL OF HAZARDOUS MATERIALS, 2021, 418
  • [47] Twelve natural estrogens and ten bisphenol analogues in eight drinking water treatment plants: Analytical method, their occurrence and risk evaluation
    Tang, Zhao
    Liu, Ze-hua
    Wang, Hao
    Wan, Yi-ping
    Dang, Zhi
    Guo, Peng-ran
    Song, Yu-mei
    Chen, Sa
    WATER RESEARCH, 2023, 243
  • [48] Disinfection byproduct formation during drinking water treatment and distribution: A review of unintended effects of engineering agents and materials
    Ding, Shunke
    Deng, Yang
    Bond, Tom
    Fang, Chao
    Cao, Zhongqi
    Chu, Wenhai
    WATER RESEARCH, 2019, 160 : 313 - 329
  • [49] Analysis and occurrence of odorous disinfection by-products from chlorination of amino acids in three different drinking water treatment plants and corresponding distribution networks
    Brosillon, Stephan
    Lemasle, Marguerite
    Renault, Emilie
    Tozza, Dominique
    Heim, Veronique
    Laplanche, Alain
    CHEMOSPHERE, 2009, 77 (08) : 1035 - 1042
  • [50] A three step approach for removing organic matter from South African water sources and treatment plants
    Nkambule, T. I.
    Krause, R. W. M.
    Haarhoff, J.
    Mamba, B. B.
    PHYSICS AND CHEMISTRY OF THE EARTH, 2012, 50-52 : 132 - 139