FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901067593> ?p ?o ?g. }

• W2901067593 endingPage "12" @default.
• W2901067593 startingPage "1" @default.
• W2901067593 abstract "The industrial use and widespread application of carbon-based nanomaterials have caused a rapid increase in their production over the last decades. However, toxicity of these materials is not fully known and is still being investigated for potential human and ecological health risks. Detecting carbon-based nanomaterials in the environment using current analytical methods is problematic, making environmental fate and transport modeling a practical way to estimate environmental concentrations and assess potential ecological risks. The Water Quality Analysis Simulation Program 8 (WASP8) is a dynamic, spatially resolved fate and transport model for simulating exposure concentrations in surface waters and sediments. Recently, WASP has been updated to incorporate processes for simulating the fate and transport of nanomaterials including heteroaggregation and phototransformation. This study examines the fate and transport of multiwalled carbon nanotubes (MWCNT), graphene oxide (GO) and reduced graphene oxide (rGO) in four aquatic ecosystems in the southeastern United States. Sites include a seepage lake, a coastal plains river, a piedmont river and an unstratified, wetland lake. A hypothetical 50-year release is simulated for each site-nanomaterial pair to analyze nanomaterial distribution between the water column and sediments. For all nanomaterials, 99% of the mass loaded moves though systems of high and low residence times without being heteroaggregated and deposited in the sediments. However, significant accumulation in the sediments does occur over longer periods of time. Results show that GO and rGO had the highest mass fraction in the water column of all four sites. MWCNT were found predominantly in the sediments of the piedmont river and seepage lake but were almost entirely contained in the water column of the coastal plains river and wetland lake. Simulated recovery periods following the release estimate 37+ years for lakes and 1-4 years for rivers to reduce sediment nanomaterial concentrations by 50% suggesting that carbon-based nanomaterials have the potential for long-term ecological effects." @default.
• W2901067593 created "2018-11-29" @default.
• W2901067593 creator A5005125779 @default.
• W2901067593 creator A5015982088 @default.
• W2901067593 creator A5026335472 @default.
• W2901067593 creator A5028257565 @default.
• W2901067593 creator A5056977498 @default.
• W2901067593 creator A5061619802 @default.
• W2901067593 creator A5069917113 @default.
• W2901067593 creator A5080626275 @default.
• W2901067593 creator A5087657310 @default.
• W2901067593 date "2019-01-01" @default.
• W2901067593 modified "2023-10-03" @default.
• W2901067593 title "Environmental fate of multiwalled carbon nanotubes and graphene oxide across different aquatic ecosystems" @default.
• W2901067593 cites W1821960322 @default.
• W2901067593 cites W1923644167 @default.
• W2901067593 cites W1972348431 @default.
• W2901067593 cites W1976156302 @default.
• W2901067593 cites W2010698331 @default.
• W2901067593 cites W2014709308 @default.
• W2901067593 cites W2029445495 @default.
• W2901067593 cites W2031133549 @default.
• W2901067593 cites W2040967973 @default.
• W2901067593 cites W2061724229 @default.
• W2901067593 cites W2065347786 @default.
• W2901067593 cites W2066768558 @default.
• W2901067593 cites W2082444527 @default.
• W2901067593 cites W2109966590 @default.
• W2901067593 cites W2118050759 @default.
• W2901067593 cites W2121719801 @default.
• W2901067593 cites W2140233577 @default.
• W2901067593 cites W2142994624 @default.
• W2901067593 cites W2145770447 @default.
• W2901067593 cites W2147347671 @default.
• W2901067593 cites W2147624032 @default.
• W2901067593 cites W2162681698 @default.
• W2901067593 cites W2163980958 @default.
• W2901067593 cites W2167736493 @default.
• W2901067593 cites W2169621514 @default.
• W2901067593 cites W2170446261 @default.
• W2901067593 cites W2254623713 @default.
• W2901067593 cites W2289408753 @default.
• W2901067593 cites W2320503663 @default.
• W2901067593 cites W2323655897 @default.
• W2901067593 cites W2324905835 @default.
• W2901067593 cites W2325560934 @default.
• W2901067593 cites W2327809938 @default.
• W2901067593 cites W2467200838 @default.
• W2901067593 cites W2507785723 @default.
• W2901067593 cites W2512789909 @default.
• W2901067593 cites W2550418575 @default.
• W2901067593 cites W2559908100 @default.
• W2901067593 cites W2579877299 @default.
• W2901067593 cites W2582384185 @default.
• W2901067593 cites W2583825470 @default.
• W2901067593 cites W2587998797 @default.
• W2901067593 cites W2607551719 @default.
• W2901067593 cites W2750028186 @default.
• W2901067593 cites W2753674397 @default.
• W2901067593 cites W2769657925 @default.
• W2901067593 cites W2774922934 @default.
• W2901067593 cites W340874518 @default.
• W2901067593 cites W841751195 @default.
• W2901067593 doi "https://doi.org/10.1016/j.impact.2018.11.001" @default.
• W2901067593 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6621604" @default.
• W2901067593 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31297468" @default.
• W2901067593 hasPublicationYear "2019" @default.
• W2901067593 type Work @default.
• W2901067593 sameAs 2901067593 @default.
• W2901067593 citedByCount "40" @default.
• W2901067593 countsByYear W29010675932019 @default.
• W2901067593 countsByYear W29010675932020 @default.
• W2901067593 countsByYear W29010675932021 @default.
• W2901067593 countsByYear W29010675932022 @default.
• W2901067593 countsByYear W29010675932023 @default.
• W2901067593 crossrefType "journal-article" @default.
• W2901067593 hasAuthorship W2901067593A5005125779 @default.
• W2901067593 hasAuthorship W2901067593A5015982088 @default.
• W2901067593 hasAuthorship W2901067593A5026335472 @default.
• W2901067593 hasAuthorship W2901067593A5028257565 @default.
• W2901067593 hasAuthorship W2901067593A5056977498 @default.
• W2901067593 hasAuthorship W2901067593A5061619802 @default.
• W2901067593 hasAuthorship W2901067593A5069917113 @default.
• W2901067593 hasAuthorship W2901067593A5080626275 @default.
• W2901067593 hasAuthorship W2901067593A5087657310 @default.
• W2901067593 hasBestOaLocation W29010675932 @default.
• W2901067593 hasConcept C107872376 @default.
• W2901067593 hasConcept C110872660 @default.
• W2901067593 hasConcept C122846477 @default.
• W2901067593 hasConcept C127313418 @default.
• W2901067593 hasConcept C138631740 @default.
• W2901067593 hasConcept C171250308 @default.
• W2901067593 hasConcept C175327387 @default.
• W2901067593 hasConcept C178790620 @default.
• W2901067593 hasConcept C185592680 @default.
• W2901067593 hasConcept C187320778 @default.
• W2901067593 hasConcept C18903297 @default.
• W2901067593 hasConcept C192562407 @default.

• next