Analytical Solution for the Modeling of the Natural Time-Dependent Reduction of Waterborne Viruses Injected into Fractured Aquifers

Masciopinto, Costantino; Mantia, Rosanna La; Levantesi, Caterina; Tandoi, Valter; Divizia, M; Donia, Dt; Gabrieli, R; Petrinca, Anna Rita

doi:10.1021/es102412z

Cited by 15 publications

(5 citation statements)

References 20 publications

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“…Mathematical models treating pathogens as colloids in groundwater, i.e. as suspended particles (bio-colloid or biotic particulate matter fraction) rather than dissolved compounds, have been shown to be valuable tools for predicting pathogen counts in aquifers ( Masciopinto et al., 2011 ). This makes them suitable to assess potential long-term health risks associated with the occurrence of enteric viruses and protozoa in fractured bedrock aquifers.…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, the E. coli removal rate by the soil aquifer treatment (SAT), i.e., by physical retention or straining ( Gerba and Goyal, 1985 ), inactivation and attachment was set to 0.33 d −1 . This value was estimated using data derived from a previous study ( Masciopinto et al., 2011 ; La Mantia et al., 2008 ) carried out at Nardò (Salento peninsula, Italy). These data were considered in the present work to estimate E. coli persistence in the groundwater of the Forcatella MAR site because the hydrogeology of the two sites is quite similar, e.g., both feature a fractured limestone aquifer.…”

Section: Methodsmentioning

confidence: 99%

“…Climate change affects coastal areas leading to an increase in the sea level rise and more frequent droughts with subsequent water scarcity. MAR applied to the bedrock (limestone) coastal aquifers of the Salento Peninsula ( Masciopinto et al., 2011 ) provides an efficient dynamic barrier controlling seawater intrusion to the groundwater and recovering freshwater storage suitable for irrigation and drinking supplies in touristic coastal areas in semiarid regions.…”

Section: Introductionmentioning

confidence: 99%

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Application of QMRA to MAR operations for safe agricultural water reuses in coastal areas

Masciopinto¹,

Vurro²,

Lorusso³

et al. 2020

Water Research X

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A pathogenic Escherichia coli ( E.coli ) O157:H7 and O26:H11 dose-response model was set up for a quantitative microbial risk assessment (QMRA) of the waterborne diseases associated with managed aquifer recharge (MAR) practices in semiarid regions. The MAR facility at Forcatella (Southern Italy) was selected for the QMRA application. The target counts of pathogens incidentally exposed to hosts by eating contaminated raw crops or while bathing at beaches of the coastal area were determined by applying the Monte Carlo Markov Chain (MCMC) Bayesian method to the water sampling results. The MCMC provided the most probable pathogen count reaching the target and allowed for the minimization of the number of water samplings, and hence, reducing the associated costs. The sampling stations along the coast were positioned based on the results of a groundwater flow and pathogen transport model, which highlighted the preferential flow pathways of the transported E. coli in the fractured coastal aquifer. QMRA indicated tolerable (<10 −6 DALY) health risks for bathing at beaches and irrigation with wastewater, with 0.4 infectious diseases per year (11.4% probability of occurrence) associated with the reuse of reclaimed water via soil irrigation even though exceeding the E. coli regulation limit of 10 CFU/100 mL by five times. The results show negligible health risk and insignificant impacts on the coastal water quality due to pathogenic E. coli in the wastewater used for MAR. However, droughts and reclaimed water quality can be considered the main issues of MAR practices in semiarid regions suggesting additional reclaimed water treatments and further stress-tests via QMRAs by considering more persistent pathogens than E. coli .

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of QMRA to MAR operations for safe agricultural water reuses in coastal areas

Masciopinto¹,

Vurro²,

Lorusso³

et al. 2020

Water Research X

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“…The FDM solution provides a time‐dependent velocity at the inlet section of the fracture (Figure ), which achieves a maximum value of 5260 m/d (with Re < 12,000) at the end of the simulation time (320 s). Effective velocity values in fractures are very suitable in determining the actual residence time of pollutants (even pathogens) that could be injected into the groundwater by wells or sinkholes [ Masciopinto et al ., ].…”

Section: Case Study 2: the Semianalytic Versus Fdm Flow Solutionmentioning

confidence: 99%

Relevance of solutions to the Navier-Stokes equations for explaining groundwater flow in fractured karst aquifers

Masciopinto

Palmiotta

2013

Water Resour. Res.

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[1] We examine the use of numeric flow solutions of the Navier-Stokes (N-S) equations to improve flow modeling in fractured karst aquifers. The N-S equations were discretized with both the meshed finite difference method (FDM) and the meshless smoothed particle hydrodynamics method. The results using the FDM model were successfully compared with those taken from the literature. The N-S equations were solved numerically for two practical problems in karst aquifers: (a) the horizontal displacement of the saltwater/ freshwater sharp interface in fissures due to groundwater overexploitation and (b) the pressure and velocity profiles in fissures in the vicinity of an injection well. In the first problem, the numeric N-S solution suggests an exponential time advancement of the freshwater/saltwater interface in fissures. In the second problem, the unsteady water velocity and pressure profiles were determined in fissures having variable apertures in the vicinity of an injection well. The N-S simulation results agreed well with the data collected during the test, thereby removing any uncertainty in the estimation of the aquifer transmissivity.Citation: Masciopinto, C., and D. Palmiotta (2013), Relevance of solutions to the Navier-Stokes equations for explaining groundwater flow in fractured karst aquifers, Water Resour. Res., 49,[3148][3149][3150][3151][3152][3153][3154][3155][3156][3157][3158][3159][3160][3161][3162][3163][3164]

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“…The deposition coefficient, κ , depends on the physical and chemical conditions of the groundwater‐colloid‐fracture system and can be estimated by fitting the results of laboratory or field experiments (Abdel‐Salam & Chrysikopoulos, 1994). The deposition coefficient has been adopted extensively to describe colloid deposition in fractures (e.g., Abdel‐Salam & Chrysikopoulos, 1994, 1995; James & Chrysikopoulos, 1999; Masciopinto et al, 2011; Masciopinto & Visino, 2017; Nair & Thampi, 2010) and has also been employed in the present study.…”

Section: Introductionmentioning

confidence: 99%

A Modified Time Domain Random Walk Approach for Simulating Colloid Behavior in Fractures: Method Development and Verification

Yosri

Dickson‐Anderson

El‐Dakhakhni

2020

Water Resources Research

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Colloids are ubiquitous in groundwater systems, and understanding their behavior is of critical importance as they can pose a threat to human and environmental health. Extensive research has been conducted to model colloid behavior in fractures leading to the development of a number of analytical solutions, albeit for single fractures. However, the application of these analytical solutions at the network scale has not yet been established; thus, fracture networks are modeled using numerical techniques that are verified in single fractures first. Time domain random walk (TDRW) is a Lagrangian‐based approach originally designed to simulate solute transport in single fractures considering advection, dispersion, and matrix diffusion. The present study develops a modified TDRW approach (MTDRW) to consider colloid‐specific transport mechanisms based on an analytical solution describing colloid behavior in single fractures. The MTDRW approach was validated through simulating the behavior of (i) monodisperse colloids in a synthetic, single fracture with and without matrix diffusion; (ii) polydisperse colloids in a synthetic, single fracture with impermeable matrix; and (iii) monodisperse colloids in a synthetic impermeable fracture network. In all three cases, the MTDRW approach replicated the results of analytical solutions in single fractures and the semianalytical solution in fracture networks. The MTDRW approach is expected to enhance the reliability of colloid transport modeling due to its capacity to simulate the physiochemical heterogeneity across the network. This is required to (i) evaluate the aquifer vulnerability to colloid migration; (ii) predict the aquifer resilience under contamination events; and (iii) develop effective planning, management, and remediation strategies.

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Analytical Solution for the Modeling of the Natural Time-Dependent Reduction of Waterborne Viruses Injected into Fractured Aquifers

Cited by 15 publications

References 20 publications

Application of QMRA to MAR operations for safe agricultural water reuses in coastal areas

Application of QMRA to MAR operations for safe agricultural water reuses in coastal areas

Relevance of solutions to the Navier-Stokes equations for explaining groundwater flow in fractured karst aquifers

A Modified Time Domain Random Walk Approach for Simulating Colloid Behavior in Fractures: Method Development and Verification

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