Matches in SemOpenAlex for { <https://semopenalex.org/work/W2045817497> ?p ?o ?g. }
- W2045817497 endingPage "1206" @default.
- W2045817497 startingPage "1198" @default.
- W2045817497 abstract "The occurrences of increased atmospheric nitrogen deposition (ADN) in Southeast Asia during smoke haze episodes have undesired consequences on receiving aquatic ecosystems. A successful prediction of episodic ADN will allow a quantitative understanding of its possible impacts. In this study, an artificial neural network (ANN) model is used to estimate atmospheric deposition of total nitrogen (TN) and organic nitrogen (ON) concentrations to coastal aquatic ecosystems. The selected model input variables were nitrogen species from atmospheric deposition, Total Suspended Particulates, Pollutant Standards Index and meteorological parameters. ANN models predictions were also compared with multiple linear regression model having the same inputs and output. ANN model performance was found relatively more accurate in its predictions and adequate even for high-concentration events with acceptable minimum error. The developed ANN model can be used as a forecasting tool to complement the current TN and ON analysis within the atmospheric deposition-monitoring program in the region." @default.
- W2045817497 created "2016-06-24" @default.
- W2045817497 creator A5043771652 @default.
- W2045817497 creator A5064529659 @default.
- W2045817497 creator A5069870273 @default.
- W2045817497 creator A5081895532 @default.
- W2045817497 date "2011-06-01" @default.
- W2045817497 modified "2023-09-23" @default.
- W2045817497 title "ANN application for prediction of atmospheric nitrogen deposition to aquatic ecosystems" @default.
- W2045817497 cites W1964195888 @default.
- W2045817497 cites W1966507182 @default.
- W2045817497 cites W1966596209 @default.
- W2045817497 cites W1971337131 @default.
- W2045817497 cites W1975756413 @default.
- W2045817497 cites W1977177161 @default.
- W2045817497 cites W1983925798 @default.
- W2045817497 cites W1995265224 @default.
- W2045817497 cites W1995341919 @default.
- W2045817497 cites W1998442441 @default.
- W2045817497 cites W2013077733 @default.
- W2045817497 cites W2017119171 @default.
- W2045817497 cites W2033904036 @default.
- W2045817497 cites W2037460094 @default.
- W2045817497 cites W2043544053 @default.
- W2045817497 cites W2043550022 @default.
- W2045817497 cites W2046780299 @default.
- W2045817497 cites W2056116149 @default.
- W2045817497 cites W2062751990 @default.
- W2045817497 cites W2064026305 @default.
- W2045817497 cites W2077011856 @default.
- W2045817497 cites W2079794514 @default.
- W2045817497 cites W2088217228 @default.
- W2045817497 cites W2090593940 @default.
- W2045817497 cites W2103728465 @default.
- W2045817497 cites W2112442192 @default.
- W2045817497 cites W2113367280 @default.
- W2045817497 cites W2118835402 @default.
- W2045817497 cites W2121744265 @default.
- W2045817497 cites W2129246158 @default.
- W2045817497 cites W2130231837 @default.
- W2045817497 cites W2143352010 @default.
- W2045817497 cites W2149352713 @default.
- W2045817497 cites W2155345455 @default.
- W2045817497 cites W2172219773 @default.
- W2045817497 cites W2766736793 @default.
- W2045817497 cites W2019589381 @default.
- W2045817497 cites W2032329196 @default.
- W2045817497 cites W2090280284 @default.
- W2045817497 doi "https://doi.org/10.1016/j.marpolbul.2011.03.033" @default.
- W2045817497 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21481425" @default.
- W2045817497 hasPublicationYear "2011" @default.
- W2045817497 type Work @default.
- W2045817497 sameAs 2045817497 @default.
- W2045817497 citedByCount "22" @default.
- W2045817497 countsByYear W20458174972012 @default.
- W2045817497 countsByYear W20458174972013 @default.
- W2045817497 countsByYear W20458174972014 @default.
- W2045817497 countsByYear W20458174972015 @default.
- W2045817497 countsByYear W20458174972016 @default.
- W2045817497 countsByYear W20458174972017 @default.
- W2045817497 countsByYear W20458174972018 @default.
- W2045817497 countsByYear W20458174972019 @default.
- W2045817497 countsByYear W20458174972020 @default.
- W2045817497 countsByYear W20458174972021 @default.
- W2045817497 countsByYear W20458174972022 @default.
- W2045817497 countsByYear W20458174972023 @default.
- W2045817497 crossrefType "journal-article" @default.
- W2045817497 hasAuthorship W2045817497A5043771652 @default.
- W2045817497 hasAuthorship W2045817497A5064529659 @default.
- W2045817497 hasAuthorship W2045817497A5069870273 @default.
- W2045817497 hasAuthorship W2045817497A5081895532 @default.
- W2045817497 hasConcept C107872376 @default.
- W2045817497 hasConcept C110872660 @default.
- W2045817497 hasConcept C127313418 @default.
- W2045817497 hasConcept C127413603 @default.
- W2045817497 hasConcept C151730666 @default.
- W2045817497 hasConcept C153294291 @default.
- W2045817497 hasConcept C175327387 @default.
- W2045817497 hasConcept C178790620 @default.
- W2045817497 hasConcept C185592680 @default.
- W2045817497 hasConcept C187320778 @default.
- W2045817497 hasConcept C18903297 @default.
- W2045817497 hasConcept C205649164 @default.
- W2045817497 hasConcept C24245907 @default.
- W2045817497 hasConcept C2816523 @default.
- W2045817497 hasConcept C39432304 @default.
- W2045817497 hasConcept C537208039 @default.
- W2045817497 hasConcept C64297162 @default.
- W2045817497 hasConcept C76886044 @default.
- W2045817497 hasConcept C82685317 @default.
- W2045817497 hasConcept C86803240 @default.
- W2045817497 hasConcept C91586092 @default.
- W2045817497 hasConceptScore W2045817497C107872376 @default.
- W2045817497 hasConceptScore W2045817497C110872660 @default.
- W2045817497 hasConceptScore W2045817497C127313418 @default.
- W2045817497 hasConceptScore W2045817497C127413603 @default.
- W2045817497 hasConceptScore W2045817497C151730666 @default.
- W2045817497 hasConceptScore W2045817497C153294291 @default.