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Record W2002452854 · doi:10.17271/1980082710122014908

APLICAÇÃO DAS EQUAÇÕES DE STREETER-PHELPS EM RIOS QUE RECEBEM FONTES DE POLUENTES PONTUAIS E DUFUSAS, PARA AVALIAR O COMPORTAMENTO DAS CONCENTRAÇÕES DE OXIGÊNIO DISSOLVIDO

2014· article· pt· W2002452854 on OpenAlexaff
Raquel s Jucá de Moraes Sale, Juliana Alencar Firmo de Araújo, Silvia Helena Santos

Bibliographic record

VenuePeriódico Eletrônico Fórum Ambiental da Alta Paulista. · 2014
Typearticle
Languagept
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsNonpoint source pollutionHydrology (agriculture)ChemistryEnvironmental engineeringHumanitiesPollutantEnvironmental scienceGeotechnical engineeringGeology

Abstract

fetched live from OpenAlex

Neste estudo foi feita uma aplicação das equações de Streeter-Phelps para analisar o comportamento das variáveis de controle DBO, OD e déficit de OD, em um curso d'água que recebe agentes poluentes de fontes pontuais e difusas de lançamento. De acordo com os resultados, ao observar o comportamento das curvas de DBO e déficit de OD, verifica-se que a carga de DBO vai se dissipando conforme se afasta dos pontos de lançamento, e os valores de déficit voltam a ser os mesmos que aqueles antes do lançamento. Em outras palavras, ocorre a diluição da nuvem poluente ao longo do rio, de maneira que a distribuição da concentração de DBO atinja a uniformidade. Observa-se ainda que quando comparados os resultados obtidos ao se lançar uma fonte pontual, com os resultados ao se lançar uma fonte difusa lateral, a fonte difusa lateral tem maior influência no consumo de OD, o que interferirá em maiores percentuais de contaminação de águas de rios. PALAVRAS-CHAVE: Qualidade de Água. Modelagem matemática, Oxigênio Dissolvido APPLICATION OF THE STREETER-PHELPS EQUATIONS IN RIVERS AND RECEIVE POINT AN NONPOINT SOURCES OF POLLUTANT, TO EVALUATE THE BEHAVIOUR OF THE DISSOLVED OXYGEN CONCENTRATION ABSTRACT In this study has made ​​the application of the Streeter-Phelps equations to analyze the behavior of the control variables BOD, DO and DO deficit in a stream receiving point and nonpoint sources of pollutants release. According to the results, observing the behavior of the curves of BOD and DO deficit, it appears that the BOD load will dissipate as it moves away from launch points, and the values ​​of deficit back to be the same as those before release. In other words, the dilution of the polluting cloud along the river occurs, so that the BOD concentration distribution reaches the uniformity. It is also observed that when comparing the results obtained by launching a point source, with the results to the side to launch a diffuse source, diffuse source side has a greater influence on consumption of OD, which interfere with higher percentages of water contamination rivers. KEY-WORDS: Water Quality. Mathematical modeling, Dissolved Oxygen APLICACIÓN DE LAS EQUACIONES DE STREETER-PHELPS EN RÍOS Y RECIBA CONTAMINANTES DE FUENTES PUNTUALES E NO PUNTUALES, PARA EVALUAR EL COMPORTAMIENTO DE LA CONCENTRACIÓN DE OXÍGENO DISUELTO RESUMEN Este estudio se ha realizado la aplicación de las ecuaciones de Streeter-Phelps para analizar el comportamiento de la DBO, OD y OD déficit en los ríos que reciben contaminantes de las fuentes puntuales y no puntuales. De acuerdo con los resultados, observando el comportamiento de las curvas de DBO y OD déficit, hay una carga de DBO se disipará a medida que se aleja de puntos de lanzamiento, y los valores de déficit de nuevo a ser el mismo que los de antes el lanzamiento. En otras palabras, suceder la dilución de la nube de contaminantes a lo largo del río, de modo que la distribución de la concentración de DBO alcanza la uniformidad. También se observa que al comparar los resultados obtenidos con el lanzamiento de una fuente puntual, con los resultados con los resultados en el lanzamiento de una fuente no puntual, la fuente difusa tiene una mayor influencia sobre el consumo de OD, que interfieren con porcentajes más altos de contaminación del agua ríos. PALABRAS-CLAVE Calidad Del Agua. Modelización matemática, Oxígeno Disuelto

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.321
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

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