ANALYSIS OF LEACHATE FROM A NON-SANITARY LANDFILL AND ASSESSMENT OF REMOVAL EFFICIENCY OF CAFFEINE USING MATERIAL AND SUBSTANCE FLOW ANALYSIS

IF 0.6 Q4 ENGINEERING, CIVIL
K. Antić, M. Sremacki, M. Petrović, Maja Turk-Sekulić, D. Adamović, D. Sakulski, J. Radonić
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引用次数: 2

Abstract

Leachate from a non-sanitary municipal solid waste landfill (L) was collected to perform physico-chemical (temperature, pH value, conductivity, COD, BOD5, NH4-N, SO4, Ptot, orthophosphates, turbidity, suspended solids) and microbiological (number of aerobic heterotrophs, total number of coliform bacteria, total number of faecal coliform bacteria, number of intestinal enterococci) analyses. Obtained results indicate that landfill L was in methanogenic phase of waste decomposition and included the presence of two species of microorganisms: Escherichia coli and Klebsiella pneumonia. Additionally, a semi-quantitative screening analysis of collected samples was performed using QP2010-Ultra GC-MS. Sixteen organic compounds were identified, of which the following five belonged to the group of pharmaceuticals: caffeine, 22-tricosenoic acid, 4-methylthiomorpholine-1,1dioxide, 2,6,10,14-hexadecatetraen-1-ol,3,7,11,15-tetramethyl-,acetate,(E,E,E)-, and 1,2bis(trimethylsilyl)benzene. The software package STAN was used to conduct material and substance flow analysis. Scenario modeling was performed to assess the removal efficiency of selected technologies in terms of reducing the concentration of caffeine because of its well-known negative effects on humans and the environment. Technologies for leachate treatment, which were observed within the Scenario 1, included the hybrid wetland system, membrane bioreactor (MBR) and reverse osmosis (RO). The modeling results indicate the high removal efficiency of caffeine concentration (99.99%).
非卫生填埋场渗滤液的分析及物料流分析对咖啡因去除效果的评价
收集非卫生城市生活垃圾填埋场(L)的渗滤液进行理化(温度、pH值、电导率、COD、BOD5、NH4-N、SO4、Ptot、正磷酸盐、浊度、悬浮物)和微生物(好氧异养菌数量、大肠菌群总数、粪便大肠菌群总数、肠道肠球菌数量)分析。结果表明,垃圾填埋场L处于垃圾分解产甲烷阶段,存在大肠杆菌和肺炎克雷伯菌两种微生物。此外,采用QP2010-Ultra GC-MS对采集的样品进行半定量筛选分析。共鉴定出16种有机化合物,其中5种属于药物类:咖啡因、22-三辛酸、4-甲基硫莫啡- 1,2,2,6,10,14 -十六癸四烯-1-醇、3,7,11,15-四甲基-、乙酸、(E,E,E)-和1,2 -二(三甲基硅基)苯。使用STAN软件包进行物料流和物质流分析。由于咖啡因对人类和环境的负面影响,我们进行了情景建模,以评估所选技术在降低咖啡因浓度方面的去除效率。在情景1中观察到的渗滤液处理技术包括混合湿地系统、膜生物反应器(MBR)和反渗透(RO)。模拟结果表明,对咖啡因的去除率高达99.99%。
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