scholarly journals Cancer risk analysis and assessment of trihalomethanes in drinking water

2006 ◽  
Vol 21 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Han-Keng Lee ◽  
Yir-Yarn Yeh ◽  
Wei-Ming Chen
Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 354
Author(s):  
Md. Aminur Rahman ◽  
Sazal Kumar ◽  
A. S. M. Fazle Bari ◽  
Abhishek Sharma ◽  
Mohammad Mahmudur Rahman

Arsenic (As) removal plants were installed in As-endemic areas of Bangladesh to remove As from well water. In many cases, these removal plants did not perform satisfactorily. This study evaluated the efficiency of 20 As and iron (Fe) removal plants (AIRPs) during pre- and post-monsoon conditions in rural Bangladesh. Results revealed that As removal efficiencies ranged from 67% to 98% and 74 to 93% during the pre- and post-monsoons periods, respectively. In the post-monsoon season As removal at individual AIRP sites was on average (4.01%) greater than in the pre-monsoon season. However, two removal plants were unable to remove As below 50 µg L−1 (Bangladesh drinking water standard) during pre-monsoon, while 11 samples out of 20 were unable to remove As below the WHO provisional guideline value of 10 µg L−1. During post-monsoon, none of the samples exceeded 50 µg L−1, but eight of them exceeded 10 µg L−1. The Fe removal efficiencies of AIRPs were evident in more than 80% samples. Although As removal efficiency was found to be substantial, a cancer risk assessment indicates that hazard quotient (HQ) and carcinogenic risk (CR) of As in treated water for adults and children are above the threshold limits. Thus, additional reductions of As concentrations in treated water are needed to further reduce the excess cancer risk due to As in drinking water. Since 55% and 40% of the AIRPs were unable to remove As < 10 µg L−1 during pre-monsoon and post-monsoon, further improvement including changes in AIRP design, regular cleaning of sludge, and periodic monitoring of water quality are suggested. Future research is needed to determine whether these modifications improve the performance of AIRPs.


1998 ◽  
Vol 106 ◽  
pp. 1047 ◽  
Author(s):  
Margaret R. Karagas ◽  
Tor D. Tosteson ◽  
Joel Blum ◽  
J. Steven Morris ◽  
John A. Baron ◽  
...  

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Šárka KROČOVÁ

The natural environment has its specific patterns that a human must take into account during realisation of any technical infrastructure of the world countries. Underestimating the dangers that can arise from natural phenomena has often serious consequences. Forsome constructions of technical infrastructure, especially their line constructions, there will be a high number of operational accidentswith extremely negative impact on the supplied regions with energy or drinking water. Other types of technical infrastructure forexample in nuclear power have a potential to create a natural emergency threaten the environment not only in the country of theirdislocation but also in the long term to change living conditions in entire regions.The following article deals with this issue in a suffcient basic range suggests chat ways and means to recognize the threat of danger andthen based on risk analysis to eliminate the consequences to an acceptable level.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Minashree Kumari ◽  
Sunil Kumar Gupta

AbstractResponse surface methodology (RSM) approach was used for optimization of the process parameters and identifying the optimal conditions for the removal of both trihalomethanes (THMs) and natural organic matter (NOM) in drinking water supplies. Co-precipitation process was employed for the synthesis of magnetic nano-adsorbent (sMNP), and were characterized by field emission scanning electron microscopy (SEM), trans-emission electron microscopy (TEM), BET (Brunauer-Emmett-Teller), energy dispersive X-ray (EDX) and zeta potential. Box-Behnken experimental design combined with response surface and optimization was used to predict THM and NOM in drinking water supplies. Variables were concentration of sMNP (0.1 g to 5 g), pH (4–10) and reaction time (5 min to 90 min). Statistical analysis of variance (ANOVA) was carried out to identify the adequacy of the developed model, and revealed good agreement between the experimental data and proposed model. The experimentally derived RSM model was validated using t-test and a range of statistical parameters. The observed R2 value, adj. R2, pred. R2 and “F-values” indicates that the developed THM and NOM models are significant. Risk analysis study revealed that under the RSM optimized conditions, a marked reduction in the cancer risk of THMs was observed for both the groups studied. Therefore, the study observed that the developed process and models can be efficiently applied for the removal of both THM and NOM from drinking water supplies.


2019 ◽  
Vol 176 ◽  
pp. 108442 ◽  
Author(s):  
Alexis Temkin ◽  
Sydney Evans ◽  
Tatiana Manidis ◽  
Chris Campbell ◽  
Olga V. Naidenko

2016 ◽  
Vol 139 (2) ◽  
pp. 334-346 ◽  
Author(s):  
Nadia Espejo-Herrera ◽  
Esther Gràcia-Lavedan ◽  
Elena Boldo ◽  
Nuria Aragonés ◽  
Beatriz Pérez-Gómez ◽  
...  

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