Optimal design of groundwater pollution management systems for a decanting contaminated site: A simulation-optimization approach

Alexander, Augustina Clara; Ndambuki, Julius M.

doi:10.1016/j.gsd.2021.100664

Cited by 10 publications

(2 citation statements)

References 28 publications

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“…The recovery of the water table in the mine shafts following mine closure, however, has also had a detrimental effect on water quality. As mine cease and pumping stops, they become filled with highly acidic and mineralized water due to the contact between water and overexposed unmined ore . The uncontrolled discharge of contaminated water from abandoned mines, commonly referred to as acid mine drainage (AMD), has resulted in a significant water quality issue. , AMD is not only associated with surface and groundwater pollution but is also responsible for the degradation of soil quality and aquatic habitats and for allowing heavy metals to seep into the environment. , …”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic Groundwater Modeling and Hydrochemical Conceptualization of the Closure Mining Area of the WuMa River Watershed of China

Yang,

Liu,

Liu

et al. 2023

ACS Omega

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The WuMa River (WMR) watershed is located in Renhuai City, Guizhou Province of China, which is a first-class tributary of the Chishui River. The geochemical investigation mainly included the determination of groundwater pH, total hardness, total dissolution solid, major cationic and anionic, and the geochemical groundwater modeling. The principal component analysis (PCA) and Gibbs model were used to analyze the pollution type and geochemical composition. The geochemical investigation results show that the cations of groundwater are dominated by Ca 2+ and the anions are dominated by HCO 3 − ; therefore, two main hydrochemical types in the study area are identified as Ca. The chemical composition of groundwater in this area is mainly controlled by weathering of the carbonate rocks. The ion concentration of groundwater in the study area exhibited significant spatial variability between dry and wet seasons, while temporal changes of cationic and anionic concentrations exhibited irregularities. In PCA and FA analysis, PC1, PC2, and PC3 were extracted, which could explain 51.92, 26.98, and 12.61% of the total information, respectively. F1 explained 67.44% of the total variance, among which Ca 2+ , Mg 2+ , K + , SO 4 2− , and Cl − contributed the most among the factors and were the main factors controlling the chemical composition of groundwater. The relative error between the measured water level and the simulated water level is less than 2%, which meets the requirements of simulation accuracy. During the simulation period of the model, a total recharge of 339.05 × 10 4 m 3 was observed in the simulated area, primarily attributed to infiltration from rainfall. The total excretion amounted to 330.78 × 10 4 m 3 , primarily through evaporation, with a minor amount of lateral outflow. The migration pathway of pollutants in groundwater primarily follows the direction of groundwater flow while diffusing vertically. The migration range of the pollutant is in accordance with the direction of groundwater flow and extends along the larger hydraulic gradient, demonstrating consistency. The findings of this study serve as a reminder that the closure of coal mines can constitute a significant source of water pollution. Simultaneously, they offer empirical data and theoretical references for the simulation and prediction of groundwater contamination in enclosed coal mines.

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Section: Introductionmentioning

confidence: 99%

Hydrodynamic Groundwater Modeling and Hydrochemical Conceptualization of the Closure Mining Area of the WuMa River Watershed of China

Yang,

Liu,

Liu

et al. 2023

ACS Omega

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“…With the rapid development of computer technology, numerical simulation has become an important tool to study the migration and transformation of heavy metal pollutants in contaminated sites [15,16]. He et al [17] used numerical simulation to study the migration of Cu 2+ and Zn 2+ and the deterrence of bentonite engineering barriers in a tailings pond, and the results showed that the maximum migration distance of heavy metal ions reached 45 m after 5 years, and the deterrence efficiency of 0.5 m thick bentonite engineering barriers for pollutants exceeded 87%.…”

Section: Introductionmentioning

confidence: 99%

Human-Health and Environmental Risks of Heavy Metal Contamination in Soil and Groundwater at a Riverside Site, China

et al. 2022

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The contaminated site is considered a high-risk pollution source due to the accumulation of industrial waste and wastewater, which affects the soil and groundwater environment. In this study, through soil and groundwater investigation, we outlined the characteristics of heavy metal contamination in the soil and groundwater of the contaminated site, assessed the health risk of the contaminated site to humans, and established a numerical model to predict the ecological and environmental risks of the site. The results of the study showed that the maximum contamination concentration of pollutants (lead, arsenic, cadmium) in the soil all exceeded the Chinese environmental standard (GB36600-2018, Grade II), that the maximum contamination concentration (cadmium, Cd) of the groundwater exceeded the Chinese environmental standard (GB14848–2017, Grade IV), and that the heavy metal pollution was mainly concentrated in the production area of the site and the waste-residue stockpiles. The total carcinogenic risk and non-carcinogenic hazard quotient of the site's soil heavy metal contaminants exceed the human acceptable limit, and there is a human health risk. However, the groundwater in the area where the site is located is prohibited from exploitation, and there is no volatility of the contaminants and no exposure pathway to the groundwater, so there is no risk to human health. The simulation prediction results show that, with the passage of time, the site groundwater pollutants as a whole migrate from south to north, affecting the northern surface water bodies after about 12 years, and there is a high ecological and environmental risk. The above findings provide a scientific basis for the study of the soil and groundwater at the riverside contaminated site.

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Exploring Simulation–Optimization for Sustainable Groundwater Management: A Critical Review

Mishra,

Gaur,

Kacem

et al. 2024

CLEAN Soil Air Water

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Simulation–optimization (S–O) is a well‐regarded method for solving groundwater (GW) management problems. Although S–O has significantly improved the decision support system for GW management, it still lacks practical applicability. As a result, many researchers have been improving its components, leading to slightly or significantly better performance. To understand these challenges efficiently, this article delves into principal components of S–O that offer in‐depth critical insights into GW's sustainability. The discussed segments are divided into simulation models, optimization methods, categories and conceptualization of management problems, and the formulation of real‐world objective functions. This review also examines surrogate‐assisted simulation models to reduce computational challenges. Methods to address model uncertainty and decision‐making in applying S–O for sustained yield problems are addressed. The review outlays critical steps in S–O methodology and recommends potential research directions to aid researchers in further enhancing the practicality of S–O.

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Optimal design of groundwater pollution management systems for a decanting contaminated site: A simulation-optimization approach

Cited by 10 publications

References 28 publications

Hydrodynamic Groundwater Modeling and Hydrochemical Conceptualization of the Closure Mining Area of the WuMa River Watershed of China

Hydrodynamic Groundwater Modeling and Hydrochemical Conceptualization of the Closure Mining Area of the WuMa River Watershed of China

Human-Health and Environmental Risks of Heavy Metal Contamination in Soil and Groundwater at a Riverside Site, China

Exploring Simulation–Optimization for Sustainable Groundwater Management: A Critical Review

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