Hydrochemical evolution, geospatial groundwater quality and potential health risks associated with intake of nitrate via drinking water: case of Gboko agricultural district, central Nigeria

2021 ◽  
Vol 80 (4) ◽  
Author(s):  
Olufemi V. Omonona ◽  
Celestine O. Okogbue
2018 ◽  
Vol 164 ◽  
pp. 181-188 ◽  
Author(s):  
Hui Zhang ◽  
Xue Zhou ◽  
Luobin Wang ◽  
Wendong Wang ◽  
Jinlan Xu

2020 ◽  
Vol 179 ◽  
pp. 223-241
Author(s):  
Kamaladdin Karimyan ◽  
Mahmood Alimohammadi ◽  
Afshin Maleki ◽  
Masud Yunesian ◽  
Ramin Nabizadeh Nodehi ◽  
...  

2020 ◽  
Vol 79 (24) ◽  
Author(s):  
Faisal Rehman ◽  
Tariq Cheema ◽  
Tahir Azeem ◽  
Abbas Ali Naseem ◽  
Imran Khan ◽  
...  

2018 ◽  
Vol 72 ◽  
pp. 1-12 ◽  
Author(s):  
Kifayatullah Khan ◽  
Yonglong Lu ◽  
Mian Abdal Saeed ◽  
Hazrat Bilal ◽  
Hassan Sher ◽  
...  

Environments ◽  
2018 ◽  
Vol 5 (9) ◽  
pp. 99 ◽  
Author(s):  
Mentore Vaccari ◽  
Giovanni Vinti ◽  
Terry Tudor

The disposal of municipal solid waste into primarily dumpsites in developing countries causes a number of potential public and environmental health risks. While there have been various studies that have evaluated the contaminants that cause the risks, these studies have generally not examined in a holistic way the manner in which these contaminants move. This study therefore sought to model the flow of a range of contaminants in dumpsites (As, Cd, Cu, Pb, Ni, Zn), and potential health risks as a means of enabling the more effective siting of facilities to reduce the risks posed. The study proposes a conservative model, using well consolidated equations and assumption, taking into account the path the pollutant makes to reach the water table and the point of exposure. The modelling may be useful to easily identify the boundaries of the area of risk related to the presence of a dumpsite in a Developing Country, beyond which a local community may use or build a safe well for drinking water. The results show as the area of risk is large and varies significantly with changes in input parameters, suggesting that without site-specific information it is better to follow conservative assumptions.


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