FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2029001067> ?p ?o ?g. }

• W2029001067 endingPage "49" @default.
• W2029001067 startingPage "33" @default.
• W2029001067 abstract "The relationship between bottom water dissolved oxygen concentration, vertical stratification, and temperature was investigated for the Neuse River estuary, North Carolina, a shallow, intermittently-mixed estuary using approximately 10 years of weekly/biweekly, mid-channel data. A generalized additive model (GAM) was used to initially explore the major relationships among observed variables. The results of this statistical model guided the specification of a process-based model of oxygen dynamics that is consistent with theory yet simple enough to be parameterized using available field data. The nonlinear optimization procedure employed allows for the direct estimation of microbial oxygen consumption and physical reoxygenation rates, including the effects of temperature and vertical stratification. These estimated rates may better represent aggregate system behaviour than closed chamber measurements made in the laboratory and in situ. The resulting model describes 79% of the variation in dissolved oxygen concentration and is robust when compared across separate locations and time periods. Model predictions suggest that the spatial extent and duration of hypoxia in the bottom waters of the Neuse are controlled by the balance between the net oxygen depletion rate and the frequency of vertical mixing events. During cool months, oxygen consumption rates remain low enough to keep oxygen concentration well above levels of concern even under extended periods of stratification. A concentration below 4 mg l−1is only expected under extended periods without vertical mixing when bottom water temperature exceeds 15 °C, while a concentration below 2 mg l−1is only expected when water temperature exceeds 20 °C. To incorporate the effects of parameter uncertainty, model error, and natural variability on model prediction, we used Monte Carlo simulation to generate distributions for the predicted number of days of hypoxia during the summer season. The expected number of days with a dissolved oxygen concentration less than 4 mg l−1is 46·8 with a standard deviation of 4·7, while 23·8 days are expected to have an oxygen concentration below 2 mg l−1with a standard deviation of 4·2 days. When joined with models relating nutrient loading and productivity to benthic and pelagic respiration rates, this model will be useful for probabilistically predicting the impact of nutrient management on the frequency of low oxygen events." @default.
• W2029001067 created "2016-06-24" @default.
• W2029001067 creator A5011390451 @default.
• W2029001067 creator A5017356418 @default.
• W2029001067 creator A5036367436 @default.
• W2029001067 creator A5036498410 @default.
• W2029001067 creator A5066505037 @default.
• W2029001067 date "2001-01-01" @default.
• W2029001067 modified "2023-09-26" @default.
• W2029001067 title "Modelling Oxygen Dynamics in an Intermittently Stratified Estuary: Estimation of Process Rates Using Field Data" @default.
• W2029001067 cites W17820838 @default.
• W2029001067 cites W1965348962 @default.
• W2029001067 cites W1968878713 @default.
• W2029001067 cites W1975860489 @default.
• W2029001067 cites W1984390212 @default.
• W2029001067 cites W1987471579 @default.
• W2029001067 cites W1993516592 @default.
• W2029001067 cites W2001472611 @default.
• W2029001067 cites W2002627764 @default.
• W2029001067 cites W2005450297 @default.
• W2029001067 cites W2018142367 @default.
• W2029001067 cites W2033491954 @default.
• W2029001067 cites W2034346327 @default.
• W2029001067 cites W2037039518 @default.
• W2029001067 cites W2037447542 @default.
• W2029001067 cites W2040657752 @default.
• W2029001067 cites W2056225708 @default.
• W2029001067 cites W2061458297 @default.
• W2029001067 cites W2061855604 @default.
• W2029001067 cites W2085942479 @default.
• W2029001067 cites W2087672429 @default.
• W2029001067 cites W2092665801 @default.
• W2029001067 cites W2122115986 @default.
• W2029001067 cites W2147945290 @default.
• W2029001067 cites W2168087399 @default.
• W2029001067 doi "https://doi.org/10.1006/ecss.2000.0726" @default.
• W2029001067 hasPublicationYear "2001" @default.
• W2029001067 type Work @default.
• W2029001067 sameAs 2029001067 @default.
• W2029001067 citedByCount "115" @default.
• W2029001067 countsByYear W20290010672012 @default.
• W2029001067 countsByYear W20290010672013 @default.
• W2029001067 countsByYear W20290010672014 @default.
• W2029001067 countsByYear W20290010672015 @default.
• W2029001067 countsByYear W20290010672016 @default.
• W2029001067 countsByYear W20290010672018 @default.
• W2029001067 countsByYear W20290010672019 @default.
• W2029001067 countsByYear W20290010672021 @default.
• W2029001067 countsByYear W20290010672022 @default.
• W2029001067 countsByYear W20290010672023 @default.
• W2029001067 crossrefType "journal-article" @default.
• W2029001067 hasAuthorship W2029001067A5011390451 @default.
• W2029001067 hasAuthorship W2029001067A5017356418 @default.
• W2029001067 hasAuthorship W2029001067A5036367436 @default.
• W2029001067 hasAuthorship W2029001067A5036498410 @default.
• W2029001067 hasAuthorship W2029001067A5066505037 @default.
• W2029001067 hasConcept C100701293 @default.
• W2029001067 hasConcept C111368507 @default.
• W2029001067 hasConcept C127313418 @default.
• W2029001067 hasConcept C159390177 @default.
• W2029001067 hasConcept C178790620 @default.
• W2029001067 hasConcept C185592680 @default.
• W2029001067 hasConcept C187320778 @default.
• W2029001067 hasConcept C192943249 @default.
• W2029001067 hasConcept C2780275952 @default.
• W2029001067 hasConcept C3527866 @default.
• W2029001067 hasConcept C39432304 @default.
• W2029001067 hasConcept C540031477 @default.
• W2029001067 hasConcept C59822182 @default.
• W2029001067 hasConcept C76886044 @default.
• W2029001067 hasConcept C7836513 @default.
• W2029001067 hasConcept C86803240 @default.
• W2029001067 hasConcept C88160329 @default.
• W2029001067 hasConcept C88548481 @default.
• W2029001067 hasConcept C89169090 @default.
• W2029001067 hasConcept C91586092 @default.
• W2029001067 hasConceptScore W2029001067C100701293 @default.
• W2029001067 hasConceptScore W2029001067C111368507 @default.
• W2029001067 hasConceptScore W2029001067C127313418 @default.
• W2029001067 hasConceptScore W2029001067C159390177 @default.
• W2029001067 hasConceptScore W2029001067C178790620 @default.
• W2029001067 hasConceptScore W2029001067C185592680 @default.
• W2029001067 hasConceptScore W2029001067C187320778 @default.
• W2029001067 hasConceptScore W2029001067C192943249 @default.
• W2029001067 hasConceptScore W2029001067C2780275952 @default.
• W2029001067 hasConceptScore W2029001067C3527866 @default.
• W2029001067 hasConceptScore W2029001067C39432304 @default.
• W2029001067 hasConceptScore W2029001067C540031477 @default.
• W2029001067 hasConceptScore W2029001067C59822182 @default.
• W2029001067 hasConceptScore W2029001067C76886044 @default.
• W2029001067 hasConceptScore W2029001067C7836513 @default.
• W2029001067 hasConceptScore W2029001067C86803240 @default.
• W2029001067 hasConceptScore W2029001067C88160329 @default.
• W2029001067 hasConceptScore W2029001067C88548481 @default.
• W2029001067 hasConceptScore W2029001067C89169090 @default.
• W2029001067 hasConceptScore W2029001067C91586092 @default.
• W2029001067 hasIssue "1" @default.
• W2029001067 hasLocation W20290010671 @default.

• next