scholarly journals Distribution of fluoride in surface water and a health risk assessment in the upper reaches of the Yongding River

2020 ◽  
Vol 30 (6) ◽  
pp. 908-920
Author(s):  
Tao Wang ◽  
Zhijiang Shao ◽  
Hui Yu ◽  
Hamidou Bah
2019 ◽  
Vol 98 ◽  
pp. 09011
Author(s):  
Liu He ◽  
Bai Gao ◽  
Huanhuan Qin ◽  
Junping Liu ◽  
Xiaoyan Ding ◽  
...  

This study was performed in Lhasa River Watershed to explore the contents of heavy metals in river water and assess the health risks. The test results show that the contents of arsenic (As), chromium (Cr) and uranium (U) are relatively low, reaching the Class III of the "Environmental quality standards for surface water (GB3838-2002)". Health risk assessment demonstrates that the average total risk value is 1.79×10-5 yr-1, which is lower than the maximum acceptable level of 5.05×10-5 yr-1 recommended by USEPA. Moreover, the average value of radionuclide risk (U) is calculated to be 9.47×10-9 yr-1, which is five orders of magnitude lower than the standard value of 5.0×10-4 yr-1. Therefore, the river water in the study area causes no significant health risk to people.


2020 ◽  
Vol 15 (4) ◽  
pp. 1190-1201
Author(s):  
Kunwar Raghvendra Singh ◽  
Ankit Pratim Goswami ◽  
Ajay S. Kalamdhad ◽  
Bimlesh Kumar

Abstract Present study evaluated the surface water quality of Kameng River (Assam, India). Kameng River is the tributary of the river Brahmaputra, having its confluence at its north bank. Water samples were collected from 9 different locations along the stretch and 24 parameters were analysed. Water quality at all sampling sites was expressed in terms of overall index of pollution (OIP). The OIP of all sampling sites varied between 1.30 and 1.74. Principal component analysis (PCA) was used to identify the latent factors influencing the water quality of the river. PCA revealed that domestic wastewater and agricultural runoff were the leading sources causing adulteration of the river's water quality. The degree of contamination of each sampling site due to heavy metals was calculated by the contamination index and an associated human health risk assessment was done by computing average daily intake and Hazard quotient (HQ). The HQ of all sampling sites varied from 0.14 to 1.21. This work presents the reliability and practicability of the integrated use of these approaches in river water quality monitoring and assessment. These methods will be very useful for policy makers for assessing the cause and effect of pollution of water bodies and implementing policies to keep pollution under check.


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