Matches in SemOpenAlex for { <https://semopenalex.org/work/W2884927887> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2884927887 endingPage "101" @default.
- W2884927887 startingPage "91" @default.
- W2884927887 abstract "Predicting the rate of Escherischia coli (E.coli) loss in a river network is one of the key conditions required in the management of bathing waters, with well verified numerical models being effective tools used to predict bathing water quality in regions with limited field data. In this study, a unique finite volume method (FVM) one-dimensional model is firstly developed to solve the mass transport process in river networks, with multiple moving stagnation points. The model is then applied to predict the concentration distribution of E.coli in the river Ribble network, UK, where the phenomena of multiple stagnation points and different flow directions appear extensively in a tidal sub-channel network. Validation of the model demonstrates that the proposed method gives reasonably accurate solution. The verification results show that the model predictions generally agree well with measured discharges, water levels and E.coli concentration values, with mass conservation of the solution reaching 99.0% within 12 days for the Ribble case. An analysis of 16 one-year scenario runs for the Ribble network shows that the main reduction in E.coli concentrations occurs in the riverine and estuarine regions due to the relatively large decay rate in the brackish riverine waters and the long retention time, due to the complex river discharge patterns and the tidal flows in the regions." @default.
- W2884927887 created "2018-08-03" @default.
- W2884927887 creator A5013777446 @default.
- W2884927887 creator A5056504669 @default.
- W2884927887 creator A5082969977 @default.
- W2884927887 date "2018-10-01" @default.
- W2884927887 modified "2023-09-27" @default.
- W2884927887 title "Evaluation of E.coli losses in a tidal river network using a refined 1-D numerical model" @default.
- W2884927887 cites W1968748556 @default.
- W2884927887 cites W1969482929 @default.
- W2884927887 cites W1975349364 @default.
- W2884927887 cites W1988908386 @default.
- W2884927887 cites W1991401197 @default.
- W2884927887 cites W2026841634 @default.
- W2884927887 cites W2034088448 @default.
- W2884927887 cites W2045811506 @default.
- W2884927887 cites W2055319557 @default.
- W2884927887 cites W2055944735 @default.
- W2884927887 cites W2066142053 @default.
- W2884927887 cites W2070053607 @default.
- W2884927887 cites W2073041688 @default.
- W2884927887 cites W2084740107 @default.
- W2884927887 cites W2087015110 @default.
- W2884927887 cites W2102548702 @default.
- W2884927887 cites W2210359000 @default.
- W2884927887 cites W2280103705 @default.
- W2884927887 cites W2542357505 @default.
- W2884927887 cites W2588465449 @default.
- W2884927887 cites W3151598025 @default.
- W2884927887 doi "https://doi.org/10.1016/j.envsoft.2018.07.009" @default.
- W2884927887 hasPublicationYear "2018" @default.
- W2884927887 type Work @default.
- W2884927887 sameAs 2884927887 @default.
- W2884927887 citedByCount "3" @default.
- W2884927887 countsByYear W28849278872020 @default.
- W2884927887 countsByYear W28849278872021 @default.
- W2884927887 countsByYear W28849278872022 @default.
- W2884927887 crossrefType "journal-article" @default.
- W2884927887 hasAuthorship W2884927887A5013777446 @default.
- W2884927887 hasAuthorship W2884927887A5056504669 @default.
- W2884927887 hasAuthorship W2884927887A5082969977 @default.
- W2884927887 hasBestOaLocation W28849278871 @default.
- W2884927887 hasConcept C111368507 @default.
- W2884927887 hasConcept C121332964 @default.
- W2884927887 hasConcept C127313418 @default.
- W2884927887 hasConcept C157206272 @default.
- W2884927887 hasConcept C187320778 @default.
- W2884927887 hasConcept C2909172648 @default.
- W2884927887 hasConcept C38349280 @default.
- W2884927887 hasConcept C39432304 @default.
- W2884927887 hasConcept C50478463 @default.
- W2884927887 hasConcept C57879066 @default.
- W2884927887 hasConcept C76886044 @default.
- W2884927887 hasConcept C88160329 @default.
- W2884927887 hasConceptScore W2884927887C111368507 @default.
- W2884927887 hasConceptScore W2884927887C121332964 @default.
- W2884927887 hasConceptScore W2884927887C127313418 @default.
- W2884927887 hasConceptScore W2884927887C157206272 @default.
- W2884927887 hasConceptScore W2884927887C187320778 @default.
- W2884927887 hasConceptScore W2884927887C2909172648 @default.
- W2884927887 hasConceptScore W2884927887C38349280 @default.
- W2884927887 hasConceptScore W2884927887C39432304 @default.
- W2884927887 hasConceptScore W2884927887C50478463 @default.
- W2884927887 hasConceptScore W2884927887C57879066 @default.
- W2884927887 hasConceptScore W2884927887C76886044 @default.
- W2884927887 hasConceptScore W2884927887C88160329 @default.
- W2884927887 hasFunder F4320319995 @default.
- W2884927887 hasFunder F4320334626 @default.
- W2884927887 hasFunder F4320334630 @default.
- W2884927887 hasFunder F4320334631 @default.
- W2884927887 hasLocation W28849278871 @default.
- W2884927887 hasOpenAccess W2884927887 @default.
- W2884927887 hasPrimaryLocation W28849278871 @default.
- W2884927887 hasRelatedWork W1506532350 @default.
- W2884927887 hasRelatedWork W1525999489 @default.
- W2884927887 hasRelatedWork W2059537296 @default.
- W2884927887 hasRelatedWork W2086833680 @default.
- W2884927887 hasRelatedWork W2107844625 @default.
- W2884927887 hasRelatedWork W2327720847 @default.
- W2884927887 hasRelatedWork W2328323268 @default.
- W2884927887 hasRelatedWork W2391707963 @default.
- W2884927887 hasRelatedWork W2991775247 @default.
- W2884927887 hasRelatedWork W3215843394 @default.
- W2884927887 hasVolume "108" @default.
- W2884927887 isParatext "false" @default.
- W2884927887 isRetracted "false" @default.
- W2884927887 magId "2884927887" @default.
- W2884927887 workType "article" @default.