Utilizing fluorescence excitation-emission matrix to profile natural organic matter removal performance by the Kingdom of Eswatini conventional drinking water treatment plants

被引:0
作者
Chear, Cynthia [1 ]
Ndlovu, Thabile [1 ]
Ramutshatsha-Makhwedzha, Denga [2 ]
Mamba, Gcina [2 ]
Malefetse, Tshepo J. [2 ]
Moyo, Welldone [2 ]
Nkambule, Thabo T. I. [2 ]
机构
[1] Univ Eswatini, Dept Chem, Kwaluseni M201, Eswatini
[2] Univ South Africa UNISA, Inst Nanotechnol & Water Sustainabil iNanoWS, Johannesburg, South Africa
关键词
Drinking water treatment; Fluorescence excitation-emission matrix; Natural organic matter; Parallel factor analysis; Two-dimensional correlation analysis; REGIONAL-INTEGRATION; SURFACE WATERS; SPECTROSCOPY; MICROFILTRATION; FRACTIONS; TOOL; NOM; EEM;
D O I
10.1016/j.jwpe.2025.107872
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Natural Organic Matter (NOM) in water arises from decomposed plant and animal matter and is ubiquitous in drinking water sources. Conventional water treatment systems in many emerging economies are incapacitated to remove NOM to acceptable levels thus posing potential public health hazards. Fluorescence spectroscopy has emerged as a useful tool in detecting and tracking the transformation and behavior of NOM as it traverses the treatment trains. Four water treatment plants coded: MBA; MAT; NHL and SIM formed part of the study sites, supplying water to urban areas spread across the four physiographic regions of Eswatini. Sample points were after each successive treatment stage. For all source water samples, the humic fraction was predominant (48, 67, 75 and 76 % for SIM, MAT, NHL and MBA, respectively) followed by the fulvic-like fraction (48, 24, 16 and 15 % for SIM, MAT, NHL and MBA, respectively). The overall removal efficiency of fluorescent NOM fractions by the respective plants was in the order: MAT (83 %) > MBA > (78 %) > SIM (68 %) > NHL (50 %). Intriguingly, the tyrosine-like fraction was removed up to 60 % overall for all plants although it contributed only about 2 % of the total fluorescent fractions. Such a finding reinforces the utility of FEEM as a powerful analytical tool capable of analyzing minute quantities. Thus, this work extends our understanding of NOM character and transformation in water treatment processes for the purpose of improving NOM removal through process optimization.
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页数:15
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