Water-lifting and aeration system improves water quality of drinking water reservoirs: Biological mechanism and field application

被引:5
|
作者
Kou, Liqing [1 ,2 ,3 ]
Huang, Tinglin [1 ,2 ,3 ]
Zhang, Haihan [1 ,2 ,3 ]
Li, Kai [1 ,2 ,3 ]
Hua, Fengyao [1 ,2 ,3 ]
Huang, Cheng [1 ,2 ,3 ]
Liu, Xiang [1 ,2 ,3 ]
Si, Fan [1 ,2 ,3 ]
机构
[1] Xian Univ Architecture & Technol, Shaanxi Key Lab Environm Engn, Xian 710055, Peoples R China
[2] Xian Univ Architecture & Technol, Key Lab Northwest Water Resource Environm & Ecol, MOE, Xian 710055, Peoples R China
[3] Collaborat Innovat Ctr Water Pollut Control & Wate, Xian 710055, Peoples R China
基金
中国国家自然科学基金;
关键词
Water-lifting and aeration system; Drinking water reservoir; Co-occurrence network; Biological mechanism; NITROGEN REMOVAL; AEROBIC DENITRIFICATION; RIVER; NITRIFICATION;
D O I
10.1016/j.jes.2022.09.006
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Reservoirs have been served as the major source of drinking water for dozens of years. The water quality safety of large and medium reservoirs increasingly becomes the focus of public concern. Field test has proved that water-lifting and aeration system (WLAS) is a piece of ef-fective equipment for in situ control and improvement of water quality. However, its intrin-sic bioremediation mechanism, especially for nitrogen removal, still lacks in-depth investi-gation. Hence, the dynamic changes in water quality parameters, carbon source metabolism, species compositions and co-occurrence patterns of microbial communities were systemat-ically studied in Jinpen Reservoir within a whole WLAS running cycle. The WLAS operation could efficiently reduce organic carbon (19.77%), nitrogen (21.55%) and phosphorus (65.60%), respectively. Biolog analysis revealed that the microbial metabolic capacities were enhanced via WLAS operation, especially in bottom water. High-throughput sequencing demonstrated that WLAS operation altered the diversity and distributions of microbial communities in the source water. The most dominant genus accountable for aerobic denitrification was iden-tified as Dechloromonas. Furthermore, network analysis revealed that microorganisms inter-acted more closely through WLAS operation. Oxidation-reduction potential (ORP) and total nitrogen (TN) were regarded as the two main physicochemical parameters influencing mi-crobial community structures, as confirmed by redundancy analysis (RDA) and Mantel test. Overall, the results will provide a scientific basis and an effective way for strengthening the in-situ bioremediation of micro-polluted source water.(c) 2022 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
引用
收藏
页码:174 / 188
页数:15
相关论文
共 50 条
  • [31] Assessing water quality of drinking water distribution system in the South Taiwan
    Lou, Jie-Chung
    Han, Jia-Yun
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2007, 134 (1-3) : 343 - 354
  • [32] Destratification and oxygenation efficiency of a water-lifting aerator system in a deep reservoir:Implications for optimal operation
    Yang Li
    Tinglin Huang
    Xinlin Tan
    Zizhen Zhou
    Weixing Ma
    [J]. Journal of Environmental Sciences, 2018, (11) : 9 - 19
  • [33] Destratification and oxygenation efficiency of a water-lifting aerator system in a deep reservoir: Implications for optimal operation
    Li, Yang
    Huang, Tinglin
    Tan, Xinlin
    Zhou, Zizhen
    Ma, Weixing
    [J]. JOURNAL OF ENVIRONMENTAL SCIENCES, 2018, 73 : 9 - 19
  • [34] Aeration system control in biological waster water treatment plants
    Solnik, Wlodzimierz
    Zajda, Zbigniew
    [J]. PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 3385 - 3390
  • [35] An Intelligent Recommender System for Drinking Water Quality
    Mahmoud, Samar
    EI-Bendary, Nashwa
    Mahmood, Mahmood A.
    Hassanien, Aboul Ella
    [J]. 2013 13TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS), 2013, : 285 - 290
  • [36] New sensor system for drinking water quality
    Lindquist, M
    Wide, P
    [J]. PROCEEDINGS OF THE ISA/IEEE SENSORS FOR INDUSTRY CONFERENCE, 2004, : 30 - 34
  • [37] Spatio-Temporal Trends and Identification of Correlated Variables with Water Quality for Drinking-Water Reservoirs
    Gu, Qing
    Wang, Ke
    Li, Jiadan
    Ma, Ligang
    Deng, Jinsong
    Zheng, Kefeng
    Zhang, Xiaobin
    Sheng, Li
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2015, 12 (10): : 13179 - 13194
  • [38] Assessing Water Quality of Kufranja Dam (Jordan) for Drinking and Irrigation: Application of the Water Quality Index
    Abualhaija, Mahmoud M.
    Mohammad, Alsharifa-Hind
    [J]. JOURNAL OF ECOLOGICAL ENGINEERING, 2021, 22 (09): : 159 - 175
  • [39] Bacterioplankton Community as a Biological Element for Reservoirs Water Quality Assessment
    Pinto, Ivo
    Calisto, Rita
    Serra, Claudia R.
    Lage, Olga M.
    Antunes, Sara C.
    [J]. WATER, 2021, 13 (20)
  • [40] Impact of raw water turbidity fluctuations on drinking water quality in a distribution system
    Gauthier, V
    Barbeau, B
    Tremblay, G
    Millette, R
    Bernier, AM
    [J]. JOURNAL OF ENVIRONMENTAL ENGINEERING AND SCIENCE, 2003, 2 (04) : 281 - 291