Influence of Particle Size of River Sand on the Decontamination Process in the Slow Sand Filter Treatment of Micro-Polluted Water

被引:3
作者
Ji, Xuemei [1 ,2 ]
Zhao, Cui [1 ,2 ]
Lv, Yufeng [1 ,2 ]
Yang, Jifu [1 ,2 ]
Li, Bin [1 ,2 ]
机构
[1] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
[2] China Inst Water Resources & Hydropower Res, Dept Irrigat & Drainage, Beijing 100038, Peoples R China
关键词
slow sand filter; particle size; river sand; ammonia nitrogen; removal rate; microbial community; BACTERIAL COMMUNITY; BIOSAND FILTER; WASTE-WATER; ORGANIC-MATTER; REMOVAL; FILTRATION; PERFORMANCE; FREUNDLICH; MECHANISMS; REDUCTION;
D O I
10.3390/w14010100
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Slow sand filters (SSFs) have been widely used in the construction of water plants in rural areas. It is necessary to find river sand of suitable particle size to improve SSF treatment of micro-polluted water so as to ensure the effective and long-term operation of these plants. In this study, SSF1(#) (particle size of 0.1-0.5 mm), SSF2(#) (particle size of 0.5-1 mm), and SSF3(#) (particle size of 1-1.5 mm) were selected. The physical absorption, CODMn and NH4+-N removal effect, and microbial community were analyzed. According to Langmuir and Freundlich adsorption model fitting, the smaller the particle size of the river sand, the more pollutants are adsorbed under the same conditions. SSF1(#) has the shortest membrane-forming time, highest CODMn and NH4+-N removal rate, and highest Shannon estimator, indicating that there are more abundant microbial species in the biofilm. Mesorhizobium, Pannonibacter, Pseudoxanthomonas, Aquabacterium, Devosia, and other bacteria have different proportions in each system, each forming its own stable biological chain system. The effluent quality of the three SSFs can meet drinking water standards. However, river sand with a particle size range of 0.1-0.5 mm is easily blocked, and thus the recommended size range for SSF is 0.5-1 mm.
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页数:15
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共 59 条
  • [1] Performance evaluation of biosand filter modified with iron oxide-coated sand for household treatment of drinking water
    Ahammed, M. Mansoor
    Davra, Komal
    [J]. DESALINATION, 2011, 276 (1-3) : 287 - 293
  • [2] Household slow sand filter to treat groundwater with microbiological risks in rural communities
    Andreoli, F. C.
    Sabogal-Paz, L. P.
    [J]. WATER RESEARCH, 2020, 186
  • [3] [Anonymous], 2016, KEY PERF IND 2015
  • [4] High-efficiency inorganic nitrogen removal by newly isolated Pannonibacter phragmitetus B1
    Bai, Hong
    Liao, Shaoan
    Wang, Anli
    Huang, Jiahui
    Shu, Wen
    Ye, Jianmin
    [J]. BIORESOURCE TECHNOLOGY, 2019, 271 : 91 - 99
  • [5] Integrated Metagenomic and Physiochemical Analyses to Evaluate the Potential Role of Microbes in the Sand Filter of a Drinking Water Treatment System
    Bai, Yaohui
    Liu, Ruiping
    Liang, Jinsong
    Qu, Jiuhui
    [J]. PLOS ONE, 2013, 8 (04):
  • [6] Environmental impact and mechanisms of the biological clogging of saturated soils and aquifer materials
    Baveye, P
    Vandevivere, P
    Hoyle, BL
    DeLeo, PC
    de Lozada, DS
    [J]. CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 1998, 28 (02) : 123 - 191
  • [7] Spatial and temporal analysis of the microbial community in slow sand filters used for treating horticultural irrigation water
    Calvo-Bado, LA
    Pettitt, TR
    Parsons, N
    Petch, GM
    Morgan, JAW
    Whipps, JM
    [J]. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2003, 69 (04) : 2116 - 2125
  • [8] Biomass development in slow sand filters
    Campos, LC
    Su, MFJ
    Graham, NJD
    Smith, SR
    [J]. WATER RESEARCH, 2002, 36 (18) : 4543 - 4551
  • [9] A new type synthetic filter material for biofilter: Poly(vinyl alcohol)/peat composite bead
    Chan, WC
    Lu, MC
    [J]. JOURNAL OF APPLIED POLYMER SCIENCE, 2003, 88 (14) : 3248 - 3255
  • [10] Nonparametric prediction in species sampling
    Chao, A
    Shen, TJ
    [J]. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 2004, 9 (03) : 253 - 269