FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376865636> ?p ?o ?g. }

• W4376865636 endingPage "104462" @default.
• W4376865636 startingPage "104462" @default.
• W4376865636 abstract "Managed aquifer recharge (MAR) techniques are in demand to cope with water scarcity challenges posed by climate change and groundwater overexploitation. One of the long-lasting technical issues associated with MAR systems is physical clogging. The intrusion and deposition of external fines during water recharge reduce the infiltration capacity of the site over time. Operation and maintenance (O&M) costs are experienced directly at the site to restore the original efficiency of infiltration rates. Thus, investors need reliable estimations of the risk of clogging during the planning of the site. As a rule, in MAR design, the main parameter of concern for physical clogging is the total suspended solids (TSS), and most clogging models rely on experiment calibrations in 1D sand columns. However, secondary processes can control the development and spatial distribution of physical clogging in field conditions. The proposed work aims to detect key clogging factors directly in the field and to model these processes for reproducibility at other sites. The fieldwork is conducted at the two-stage infiltration basin in Suvereto (Tuscany, Italy). Spatial factors are included in the analysis (i.e. basin topography) to explain clogging patterns in the field altered by erosion processes. The observed clogging profiles at two sampled locations exhibiting clogging are replicated by a mathematical model. Based on the computation of annual erosion rates in the pond and fines’ redistribution, the exceeding fines’ contents over depth are validated with an RMSE of 2.53% and 12.53%. The infiltration capacity of the site is estimated to reach a stable value of 90% of the initial infiltration capacity over 20 years, given the Suvereto basin features. The model's parameterisation from field measurements represents a great advantage over existing clogging models due to its transferability to other MAR sites. The assessment of the risk of clogging supported by field characterization and numerical modelling is cost-effective and assists the deduction of O&M schemes for MAR sites." @default.
• W4376865636 created "2023-05-18" @default.
• W4376865636 creator A5026788975 @default.
• W4376865636 creator A5030170883 @default.
• W4376865636 creator A5063862384 @default.
• W4376865636 creator A5064639304 @default.
• W4376865636 date "2023-07-01" @default.
• W4376865636 modified "2023-10-03" @default.
• W4376865636 title "Understanding and predicting physical clogging at managed aquifer recharge systems: A field-based modeling approach" @default.
• W4376865636 cites W1857059080 @default.
• W4376865636 cites W1964117365 @default.
• W4376865636 cites W1982247117 @default.
• W4376865636 cites W1986433999 @default.
• W4376865636 cites W1987570757 @default.
• W4376865636 cites W1998272998 @default.
• W4376865636 cites W2000702750 @default.
• W4376865636 cites W2012781825 @default.
• W4376865636 cites W2014962173 @default.
• W4376865636 cites W2020277817 @default.
• W4376865636 cites W2023791012 @default.
• W4376865636 cites W2028169056 @default.
• W4376865636 cites W2028850290 @default.
• W4376865636 cites W2033008599 @default.
• W4376865636 cites W2035917542 @default.
• W4376865636 cites W2063547066 @default.
• W4376865636 cites W2070154608 @default.
• W4376865636 cites W2091945105 @default.
• W4376865636 cites W2100407778 @default.
• W4376865636 cites W2100667239 @default.
• W4376865636 cites W2140546438 @default.
• W4376865636 cites W2153139822 @default.
• W4376865636 cites W2153700325 @default.
• W4376865636 cites W2154670722 @default.
• W4376865636 cites W2231363614 @default.
• W4376865636 cites W2552692015 @default.
• W4376865636 cites W2596557684 @default.
• W4376865636 cites W2753640182 @default.
• W4376865636 cites W2788043166 @default.
• W4376865636 cites W2789573576 @default.
• W4376865636 cites W2799570200 @default.
• W4376865636 cites W2891785734 @default.
• W4376865636 cites W2912278909 @default.
• W4376865636 cites W2998470349 @default.
• W4376865636 cites W3011924654 @default.
• W4376865636 cites W3016566372 @default.
• W4376865636 cites W3023075806 @default.
• W4376865636 cites W3029363997 @default.
• W4376865636 cites W3034792416 @default.
• W4376865636 cites W3044890982 @default.
• W4376865636 cites W4200402236 @default.
• W4376865636 cites W4205160304 @default.
• W4376865636 cites W4211136976 @default.
• W4376865636 cites W4313325247 @default.
• W4376865636 cites W827479808 @default.
• W4376865636 cites W990504950 @default.
• W4376865636 doi "https://doi.org/10.1016/j.advwatres.2023.104462" @default.
• W4376865636 hasPublicationYear "2023" @default.
• W4376865636 type Work @default.
• W4376865636 citedByCount "2" @default.
• W4376865636 countsByYear W43768656362023 @default.
• W4376865636 crossrefType "journal-article" @default.
• W4376865636 hasAuthorship W4376865636A5026788975 @default.
• W4376865636 hasAuthorship W4376865636A5030170883 @default.
• W4376865636 hasAuthorship W4376865636A5063862384 @default.
• W4376865636 hasAuthorship W4376865636A5064639304 @default.
• W4376865636 hasConcept C127313418 @default.
• W4376865636 hasConcept C153294291 @default.
• W4376865636 hasConcept C153400128 @default.
• W4376865636 hasConcept C166957645 @default.
• W4376865636 hasConcept C174091901 @default.
• W4376865636 hasConcept C187320778 @default.
• W4376865636 hasConcept C205649164 @default.
• W4376865636 hasConcept C2778152828 @default.
• W4376865636 hasConcept C39432304 @default.
• W4376865636 hasConcept C524765639 @default.
• W4376865636 hasConcept C75622301 @default.
• W4376865636 hasConcept C76177295 @default.
• W4376865636 hasConcept C76886044 @default.
• W4376865636 hasConcept C87717796 @default.
• W4376865636 hasConceptScore W4376865636C127313418 @default.
• W4376865636 hasConceptScore W4376865636C153294291 @default.
• W4376865636 hasConceptScore W4376865636C153400128 @default.
• W4376865636 hasConceptScore W4376865636C166957645 @default.
• W4376865636 hasConceptScore W4376865636C174091901 @default.
• W4376865636 hasConceptScore W4376865636C187320778 @default.
• W4376865636 hasConceptScore W4376865636C205649164 @default.
• W4376865636 hasConceptScore W4376865636C2778152828 @default.
• W4376865636 hasConceptScore W4376865636C39432304 @default.
• W4376865636 hasConceptScore W4376865636C524765639 @default.
• W4376865636 hasConceptScore W4376865636C75622301 @default.
• W4376865636 hasConceptScore W4376865636C76177295 @default.
• W4376865636 hasConceptScore W4376865636C76886044 @default.
• W4376865636 hasConceptScore W4376865636C87717796 @default.
• W4376865636 hasFunder F4320320300 @default.
• W4376865636 hasFunder F4320332999 @default.
• W4376865636 hasFunder F4320335254 @default.
• W4376865636 hasFunder F4320338337 @default.
• W4376865636 hasLocation W43768656361 @default.

• next