Optimization of artificial wetland design for removal of indicator microorganisms and pathogenic protozoa

被引:42
|
作者
Gerba, CP
Thurston, JA
Falabi, JA
Watt, PM
Karpiscak, MM
机构
[1] Univ Arizona, Dept Soil Water & Environm Sci, Tucson, AZ 85721 USA
[2] Univ Arizona, Dept Soil Water & Environm Sci, Tucson, AZ 85719 USA
关键词
constructed wetlands; Cryptosporidium; fecal coliforms; Giardia;
D O I
10.1016/S0273-1223(99)00519-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The enhancement of water quality by artificial wetland systems is increasingly being employed throughout the world. Three wetlands were studied in Tucson, AZ to evaluate their individual performance in the removal of indicator bacteria (coliforms), coliphage, and enteric pathogens (Giardia and Cryptosporidium). A duckweed-covered pond, a multi-species subsurface Flow (SSF) and a multi-species surface flow (SF) wetland were studied. Removal of the larger microorganisms, Giardia and Cryptosporidium, was the greatest in the duckweed pond at 98 and 89 percent, respectively. The lowest removal occurred in the SF wetland, 73 percent for Giardia and 58 percent removal for Cryptosporidium. In contrast, the greatest removal of coliphage, total and fecal coliforms occurred in the SSF wetland, 95, 99, and 98 percent respectively, whereas the pond had the lowest removals (40, 62, and 61 percent, respectively). Sedimentation may be the primary removal mechanism within the duckweed pond since the removal was related to size, removal of the largest organisms being the greatest. However, the smaller microorganisms were removed more efficiently in the SSF wetland, which may be related to the large surface area available for adsorption and filtration. This study suggests that in order to achieve the highest treatment level of secondary unchlorinated wastewater, a combination of aquatic ponds and subsurface flow wetlands may be necessary. (C) 1999 IAWQ Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:363 / 368
页数:6
相关论文
共 38 条
  • [31] A novel integrative performance evaluation of constructed wetland on removal of viable bacterial cells and related pathogenic, virulent and multi-drug resistant genes from wastewater systems
    Donde, Oscar Omondi
    Makindi, Stanley M.
    Tian, Cuicui
    Tian, Yingying
    Hong, Pei
    Cai, Qijia
    Yang, Tiantian
    Wang, Chunbo
    Wu, Xingqiang
    Xiao, Bangding
    JOURNAL OF WATER PROCESS ENGINEERING, 2020, 33
  • [32] Optimization of organic matter degradation kinetics and nutrient removal on artificial wetlands using Eichhornia crassipes and Typha domingensis
    Rangel-Peraza, J. G.
    Mendivil-Garcia, K.
    Cedillo-Herrera, C. I. G.
    Rochin-Medina, J. J.
    Rodriguez-Mata, A. E.
    Bustos-Terrones, Y. A.
    ENVIRONMENTAL TECHNOLOGY, 2019, 40 (05) : 633 - 641
  • [33] Alum sludge-based constructed wetland system for enhanced removal of P and OM from wastewater: Concept, design and performance analysis
    Babatunde, A. O.
    Zhao, Y. Q.
    Zhao, X. H.
    BIORESOURCE TECHNOLOGY, 2010, 101 (16) : 6576 - 6579
  • [34] Optimizing constructed wetland design and operation for dual benefits: A critical review to enhance micropollutant removal while mitigating greenhouse gas emissions
    Salinas-Toledano, M. A.
    Gomez-Borraz, T. L.
    Belmont, M. A.
    Garcia-Becerra, F. Y.
    ENVIRONMENTAL RESEARCH, 2024, 263
  • [35] An artificial neural network model and design equations for BOD and COD removal prediction in horizontal subsurface flow constructed wetlands
    Akratos, Christos S.
    Papaspyros, John N. E.
    Tsihrintzis, Vassilios A.
    CHEMICAL ENGINEERING JOURNAL, 2008, 143 (1-3) : 96 - 110
  • [36] Total nitrogen and ammonia removal prediction in horizontal subsurface flow constructed wetlands: Use of artificial neural networks and development of a design equation
    Akratos, Christos S.
    Papaspyros, John N. E.
    Tsihrintzis, Vassilios A.
    BIORESOURCE TECHNOLOGY, 2009, 100 (02) : 586 - 596
  • [37] Optimization of chemical oxygen demand removal from petroleum refinery wastewater by electrocoagulation using tubular electrochemical reactor with a novel design
    Naser, Ghazi Faisal
    Mohammed, Thamer J.
    Abbar, Ali H.
    DESALINATION AND WATER TREATMENT, 2023, 281 : 204 - 216
  • [38] A radial basis function neural network based multi-objective optimization for simultaneously enhanced nitrogen and phosphorus removal in a full-scale integrated surface flow treatment wetland-pond system
    Li, Yiping
    Nuamah, Linda A.
    Pu, Yashuai
    Zhang, Haikuo
    Norgbey, Eyram
    Nwankwegu, Amechi S.
    Banahene, Patrick
    Bofah, Robert
    BIORESOURCE TECHNOLOGY, 2022, 344