Distribution of heavy metals in water and sediment of an urban river in a developing country: A probabilistic risk assessment

2021 ◽  
Author(s):  
Mir Mohammad Ali ◽  
Saima Rahman ◽  
Md Saiful Islam ◽  
Md Refat Jahan Rakib ◽  
Shaharior Hossen ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Developing Country ◽  
Probabilistic Risk Assessment ◽  
Urban River ◽  
Water And Sediment ◽  
Probabilistic Risk

Contamination and ecological risk assessment of heavy metals in water and sediment from hubs of fish resource river in a developing country

Toxin Reviews ◽  
2021 ◽  
pp. 1-16
Author(s):  
Mir Mohammad Ali ◽  
Mohammad Lokman Ali ◽  
Md. Refat Jahan Rakib ◽  
Md. Saiful Islam ◽  
Ahasan Habib ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Developing Country ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Water And Sediment

Heavy metals and probabilistic risk assessment via rice consumption in Thailand

2021 ◽  
Vol 334 ◽  
pp. 127402 ◽  
Author(s):  
Chunyapuk Kukusamude ◽  
Phitchan Sricharoen ◽  
Nunticha Limchoowong ◽  
Supalak Kongsri
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Probabilistic Risk Assessment ◽  
Rice Consumption ◽  
Probabilistic Risk

Spatial distributions and probabilistic risk assessment of exposure to heavy metals in groundwater in a peri-urban settlement: case study of Atonsu-Kumasi, Ghana

2020 ◽  
Vol 10 ◽  
pp. 100327 ◽  
Author(s):  
Portia Annabelle Opoku ◽  
Geophrey K. Anornu ◽  
Abass Gibrilla ◽  
Emmanuel de-Graft Johnson Owusu-Ansah ◽  
Samuel Y. Ganyaglo ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Probabilistic Risk Assessment ◽  
Spatial Distributions ◽  
Urban Settlement ◽  
Probabilistic Risk

scholarly journals Heavy Metals and Probabilistic Risk Assessment via Pheretima (a Traditional Chinese Medicine) Consumption in China

2022 ◽  
Vol 12 ◽  
Author(s):  
Xiaohui Xu ◽  
Limin Li ◽  
Heng Zhou ◽  
Qing Hu ◽  
Lingling Wang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Heavy Metal ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Heavy Metal Contamination ◽  
Probabilistic Risk Assessment ◽  
Carcinogenic Risk ◽  
Risk Levels ◽  
Probabilistic Risk

Earthworms are known to accumulate inorganic contaminants from the soil; they are also used as a traditional Chinese medicine (TCM) called Pheretima, which might cause safety problems with long-term exposure. Here, this study was conducted to determine and analyze the level of heavy metal contamination such as arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), manganese (Mn), nickel (Ni), and lead (Pb) in Pheretima and then explore the probabilistic health risks caused by 8 heavy metals in 98 batches of Pheretima using Monte Carlo simulation. A risk assessment strategy was conducted to assess heavy metal–associated health risk of Pheretima based on consumption data. For random consumption sampling, the results found that the non-carcinogenic risk of As is higher than the acceptable level, and the carcinogenic risk levels of As and Cr exceeded the acceptable risk recommended by the USEPA. Cr and As were regarded as the priority metals for risk control in the present study. Finally, it was recommended that the dosing frequency should be less than 24 d/y. In general, this study conducted a probabilistic risk assessment of heavy metals in Pheretima, which would be of significance for policy makers to take effective strategies to improve the quality and safety of Pheretima.

scholarly journals Occurrence and probabilistic risk assessment of PAHs in water and sediment samples of the Diep River, South Africa

Heliyon ◽  
2020 ◽  
Vol 6 (6) ◽  
pp. e04306 ◽  
Author(s):  
Adetunji A. Awe ◽  
Beatrice O. Opeolu ◽  
Olatunde S. Olatunji ◽  
Olalekan S. Fatoki ◽  
Vanessa A. Jackson ◽  
...  
Keyword(s):  
South Africa ◽  
Risk Assessment ◽  
Probabilistic Risk Assessment ◽  
Sediment Samples ◽  
Water And Sediment ◽  
Water And Sediment Samples ◽  
Probabilistic Risk
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