Understanding and predicting physical clogging at managed aquifer recharge systems: A field-based modeling approach

Lippera, Maria Chiara; Werban, Ulrike; Rossetto, Rudy; Vienken, Thomas

doi:10.1016/j.advwatres.2023.104462

Cited by 3 publications

(1 citation statement)

References 48 publications

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“…5) is that it can be further developed to be parameterised with data from site characterisation. The collection of recharge water data, particularly TSS and particle size distribution (PSD), can be used to predict the effect of straining on the sediment matrix, to derive the relative reduction in hydraulic conductivity and total infiltration capacity (Lippera et al, 2023b;Lippera et al, 2023a). This framework can be transferred to multiple MAR schemes and adapted on the base of the sediments' heterogeneities, characterised by initial hydraulic conductivity, porosity and grain size distributions.…”

Section: Papermentioning

confidence: 99%

Application of physical clogging models to Managed Aquifer Recharge: a review of modelling approaches from engineering fields

Lippera,

Werban,

Vienken

2023

AS-ITJGW

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Managed Aquifer Recharge (MAR) sites suffer from the long-lasting problem of clogging. The causes of clogging are physical, biological, chemical and mechanical processes and their complex interaction, with physical clogging being recognised as the predominant process. The intrusion and deposition of particles during water recharge affect the hydraulic properties of the infiltration surface, resulting in a decline in the infiltration capacity of the site over the operating years. Cleaning operations are necessary to restore the original infiltration rates. For this purpose, assessing the risk of clogging can determine the site’s vulnerability and improve the scheme’s design. Numerical models are essential to replicate physical clogging processes and predict the decline in infiltration rates. So far, predictive tools for physical clogging assessment have been missing in MAR literature. Hence, the purpose of this study is to analyse and reorganise physical clogging models from applied engineering fields dealing with water infiltration in natural heterogeneous systems. The modelling approaches are illustrated, starting from the main assumptions and conceptualisation of the soil volume and intruding particles. The individual processes are untangled from the multiple studies and reorganised in a systematic comparison of mathematical equations relevant to MAR applications. The numerical models’ predictive power is evaluated for transferability, following limitations and recommendations for a process-based model applicable to surface spreading schemes. Finally, perspectives are given for clogging risk assessment at MAR sites from modelling and site characterisation. The predictive tool could assist decision-makers in planning the MAR site by implementing cost-effective strategies to lower the risk of physical clogging.

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Section: Papermentioning

confidence: 99%

Application of physical clogging models to Managed Aquifer Recharge: a review of modelling approaches from engineering fields

Lippera,

Werban,

Vienken

2023

AS-ITJGW

Self Cite

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Assessment of bed clogging in surface water reservoirs under different hydrologic conditions

Abdel-Azim,

Hassan,

El-Molla

et al. 2024

Ain Shams Engineering Journal

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Head-Independent Infiltration Rate in Aquifer Recharge with Treated Municipal Wastewater

Elkayam,

Lev

2024

ACS EST Water

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Managed aquifer recharge (MAR) with treated municipal wastewater is a cost-effective, low-maintenance, and energy-efficient method for supplying water for irrigation and drinking purposes. The most expensive component of MAR is land use. Since the area of infiltration basins is inversely proportional to the infiltration rate (Ir), a higher infiltration rate allows for smaller basins, making it the most critical design factor. We examined the dependence of Ir on water levels by analyzing a decade of data from 50 recharge basins of an Israeli SAT as a case study. A positive dependence would imply that high water levels enhance infiltration, while a negative dependence would imply that shallower ponding is preferable. In 97% of over 45,000 flooding events, we observed a linear decline in the effluent level during the drainage phase. This water level-independent Ir was observed in all the studied basins, regardless of commissioning year, operating conditions, or season. Expressing Ir as a function of water level allows the operator to predict accurately the time needed to empty a basin. This also paves the road for developing site-specific predictive models of average Ir as a function of the current and historical operational and environmental conditions. A mechanistic two-resistance model explains the observed pattern, suggesting partial elasticity of the clogging film.

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Understanding and predicting physical clogging at managed aquifer recharge systems: A field-based modeling approach

Cited by 3 publications

References 48 publications

Application of physical clogging models to Managed Aquifer Recharge: a review of modelling approaches from engineering fields

Application of physical clogging models to Managed Aquifer Recharge: a review of modelling approaches from engineering fields

Assessment of bed clogging in surface water reservoirs under different hydrologic conditions

Head-Independent Infiltration Rate in Aquifer Recharge with Treated Municipal Wastewater

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