Matches in Ghent University Academic Bibliography for { <https://biblio.ugent.be/publication/01J3M88G4GWY24SF4PM1AB6ZTT> ?p ?o. }
Showing items 1 to 24 of
24
with 100 items per page.
- 01J3M88G4GWY24SF4PM1AB6ZTT classification A1.
- 01J3M88G4GWY24SF4PM1AB6ZTT date "2024".
- 01J3M88G4GWY24SF4PM1AB6ZTT language "eng".
- 01J3M88G4GWY24SF4PM1AB6ZTT type journalArticle.
- 01J3M88G4GWY24SF4PM1AB6ZTT hasPart 01J3M8ATJPYEKCWV2TDTP2JMSJ.pdf.
- 01J3M88G4GWY24SF4PM1AB6ZTT subject "Biology and Life Sciences".
- 01J3M88G4GWY24SF4PM1AB6ZTT subject "Technology and Engineering".
- 01J3M88G4GWY24SF4PM1AB6ZTT doi "10.1016/j.chemosphere.2024.142577".
- 01J3M88G4GWY24SF4PM1AB6ZTT issn "0045-6535".
- 01J3M88G4GWY24SF4PM1AB6ZTT issn "1879-1298".
- 01J3M88G4GWY24SF4PM1AB6ZTT volume "361".
- 01J3M88G4GWY24SF4PM1AB6ZTT abstract "Water distribution networks play a crucial role in ensuring a reliable water supply, yet they encounter challenges such as corrosion, scale formation, and biofilm growth due to interactions with environmental elements. Biofilms and corrosion layers are significant contaminants in water pipes, formed by complex interactions with pipe materials. As the structure of these contamination layers varies depending on the pipe material, it is essential to investigate the contamination layer for each material individually. Specifically, biofilm growth is typically investigated concerning organic sources, while the growth of humus layers is examined in relation to inorganic elements such as manganese (Mn), iron (Fe), and aluminum (Al), which are major elements and organic substances found in water pipes. Real-time imaging of recently contaminated layers can provide important insights to improve system performance by optimizing operations and cleaning processes. In this study, cast iron (7.10±0.78nm) exhibits greater surface roughness compared to PVC (5.60±0.14nm) and provides favorable conditions for biofilm formation due to its positive charge. Over a period of 425h, the fouling layer on cast iron and PVC surfaces gradually increased in fouling thickness, porosity, roughness, and density, reaching maximum value of 29.72±3.6mum, 11.44±1.1%, 41673±1025.6 pixels, and 0.80±0.3 fouling layer pixel/layer pixel for cast iron, and 8.15±0.4mum, 20.64±0.9%, 35916.6±755.7 pixels, and 0.58±0.1 fouling layer pixel/layer pixel, respectively. Within the scope of the current research, CNN model demonstrates high correlation coefficients (0.98 and 0.91) in predicting biofilm thickness for cast iron and PVC. The model also presented high accuracy in predicting porosity for both materials (over 0.91 for cast iron and 0.96 for PVC). While the model accurately predicted biofilm roughness and density for cast iron (correlation coefficients 0.98 and 0.94, respectively), it had lower accuracy for PVC (correlation coefficients 0.92 for both parameters).".
- 01J3M88G4GWY24SF4PM1AB6ZTT author fedd2dd9-360a-11ed-b077-f87f9acc9a5b.
- 01J3M88G4GWY24SF4PM1AB6ZTT author urn:uuid:3153a762-91a3-4f24-bb99-481c4079c791.
- 01J3M88G4GWY24SF4PM1AB6ZTT author urn:uuid:4a1be69b-fa83-4a57-b046-13e8e775b7a6.
- 01J3M88G4GWY24SF4PM1AB6ZTT author urn:uuid:99dde63f-8a72-43a6-ab1e-de37f350269c.
- 01J3M88G4GWY24SF4PM1AB6ZTT author urn:uuid:f06281cd-897c-45aa-a66a-81faa1e81ac6.
- 01J3M88G4GWY24SF4PM1AB6ZTT dateCreated "2024-07-25T06:11:39Z".
- 01J3M88G4GWY24SF4PM1AB6ZTT dateModified "2024-12-12T20:55:53Z".
- 01J3M88G4GWY24SF4PM1AB6ZTT name "Real-time diagnosis and monitoring of biofilm and corrosion layer formation on different water pipe materials using non-invasive imaging methods".
- 01J3M88G4GWY24SF4PM1AB6ZTT pagination urn:uuid:6ad0c218-aa1f-4c8a-8b94-b139f3184b82.
- 01J3M88G4GWY24SF4PM1AB6ZTT sameAs LU-01J3M88G4GWY24SF4PM1AB6ZTT.
- 01J3M88G4GWY24SF4PM1AB6ZTT sourceOrganization urn:uuid:e14602d8-71ba-443c-8826-ee42cf4d3754.
- 01J3M88G4GWY24SF4PM1AB6ZTT type A1.