A GA Based Iterative Model for Identification of Unknown Groundwater Pollution Sources Considering Noisy Data

2020 ◽  
pp. 303-321 ◽  
Author(s):  
Leichombam Sophia ◽  
Rajib Kumar Bhattacharjya
Keyword(s):  
Groundwater Pollution ◽  
Noisy Data ◽  
Pollution Sources ◽  
Iterative Model

scholarly journals Identification of Groundwater Pollution Sources by a SCE-UA Algorithm-Based Simulation/Optimization Model

Water ◽  
2018 ◽  
Vol 10 (2) ◽  
pp. 193 ◽  
Author(s):  
Linxian Huang ◽  
Lichun Wang ◽  
Yongyong Zhang ◽  
Liting Xing ◽  
Qichen Hao ◽  
...  
Keyword(s):  
Groundwater Pollution ◽  
Optimization Model ◽  
Simulation Optimization ◽  
Pollution Sources

scholarly journals Groundwater Pollution Sources Apportionment in the Ghaen Plain, Iran

2018 ◽  
Vol 15 (1) ◽  
pp. 172 ◽  
Author(s):  
Mohammad Vesali Naseh ◽  
Roohollah Noori ◽  
Ronny Berndtsson ◽  
Jan Adamowski ◽  
Elaheh Sadatipour
Keyword(s):  
Groundwater Pollution ◽  
Pollution Sources ◽  
Sources Apportionment

scholarly journals A Review on the Application of Isotopic Techniques to Trace Groundwater Pollution Sources within Developing Countries

Water ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 35
Author(s):  
Abdul Aziz Sankoh ◽  
Nana Sarfo Agyemang Derkyi ◽  
Ronnie A. D. Frazer-williams ◽  
Cynthia Laar ◽  
Ishmail Kamara
Keyword(s):  
Developing Countries ◽  
Seawater Intrusion ◽  
Groundwater Pollution ◽  
Inorganic Nitrogen ◽  
Nitrogen Sources ◽  
Animal Manure ◽  
Pollution Sources ◽  
Water Bodies ◽  
Landfill Leachates ◽  
Dual Isotope

Owing to a lack of efficient solid waste management (SWM) systems, groundwater in most developing countries is found to be contaminated and tends to pose significant environmental health risks. This review paper proffers guidelines on the application of isotopic techniques to trace groundwater pollution sources from data spanning from 2010 to 2020 within developing countries. Earlier groundwater studies in those countries were mainly focused on using hydrochemical and geophysical techniques. The limitation of these techniques is that they can only monitor the concentration of pollutants in the water bodies and possible leachate infiltration but cannot determine the specific sources of the pollution. Stable isotopes of δ18O, δ2H and δ13C can confirm leachate migration to water bodies due to methanogenesis. The high tritium in landfill leachates is useful to identify leachate percolation in groundwater. The δ15N technique has been used to distinguish between synthetic and organic nitrogen sources but its application is limited to differentiating between atmospheric vs. inorganic nitrogen sources. The use of a dual isotope of δ15N–NO3− and δ18O–NO3− is beneficial in terms of identifying various sources of nitrogen such as atmospheric and inorganic fertilizers but is yet to be used to differentiate between nitrogen pollution sources from dumpsites, sewage and animal manure. The coupling of the 11B isotope with δ15N–NO3− and δ18O–NO3− and other hydrochemical parameters has proven to be effective in distinguishing between nitrate fertilizer, animal manure, seawater contamination and sewage. Therefore, in areas affected by agricultural activities, landfill leachates, domestic or sewage effluent and seawater intrusion, it is incumbent to couple hydrochemical (Cl−, NO3−, B, DO) and isotope techniques (δ18O, 2H, δ13C, δ18O–NO3−, δ15N–NO3−, δ11B and 3H) to effectively determine pollution sources of groundwater in developing countries. The foregoing review will provide guidelines for studies that may aim to critically distinguish between seawater intrusion, dumpsites, sewage and septic leachates.

scholarly journals Hydrochemical Characteristics and Identification of Groundwater Pollution Sources in Tropical Savanna

2021 ◽  
Author(s):  
Abduljalal Abdulsalam ◽  
Mohammad Ramli ◽  
Nor Jamil ◽  
Zulfa Ashaari ◽  
Da’u Umar
Keyword(s):  
Groundwater Quality ◽  
Groundwater Pollution ◽  
Groundwater Resources ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Pollution Sources ◽  
Water Type ◽  
Multivariate Statistical ◽  
Factors Affecting ◽  
Anthropogenic Processes

Groundwater pollution of the watershed is mainly influenced by the multifaceted interactions of geogenic and anthropogenic processes. In this study, classic chemical and multivariate statistical methods were used to assess the groundwater quality and identify the potential pollution sources affecting the groundwater quality of Galma sub-watershed in a tropical savannah. For this purpose, the dataset of 18 groundwater quality variables covering 57 different sampling boreholes (BH) was used. The order of abundance of the main cations and anions in the samples are Ca2+ > Na+ > Mg2+ > K+ and HCO3− > Cl− > SO4−2 > NO3− respectively. Piper diagram classified the groundwater types of the watershed into mixed Ca–Mg–Cl type of water, which means no cations and anions exceeds 50%. The second dominant water type was Ca–Cl. The Mg–HCO3 water type was found in BH 9, and Na–Cl water type in BH 29 respectively. Hierarchical cluster analysis grouped the sampling boreholes into five statistically significant clusters based on similarities of groundwater quality characteristics. Principal component extracted two principal components that explained around 65% of the total variance, which natural and anthropogenic processes especially agricultural activities as the dominant factors affecting the groundwater quality. The findings of this study are useful to the policy and decision-makers for formulating efficient groundwater utilization and management plans for the groundwater resources.

Risk-based prioritization methodology for the classification of groundwater pollution sources

2015 ◽  
Vol 506-507 ◽  
pp. 505-517 ◽  
Author(s):  
Lisa Pizzol ◽  
Alex Zabeo ◽  
Andrea Critto ◽  
Elisa Giubilato ◽  
Antonio Marcomini
Keyword(s):  
Groundwater Pollution ◽  
Pollution Sources
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