MétaCan
Menu
Back to cohort
Record W2614819554

Distribuição espaço-temporal de hidrocarbonetos de petróleo no estuário do Rio Vaza Barris-SE

2017· dissertation· en· W2614819554 on OpenAlexaboutno aff
José Carlos Barbosa

Bibliographic record

VenueAmericanae (AECID Library) · 2017
Typedissertation
Languageen
FieldEnvironmental Science
TopicEnvironmental Chemistry and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryHumanitiesPhysicsArt
DOInot available

Abstract

fetched live from OpenAlex

The Vaza Barris river estuarine system is located at 11o 08 ´S and 37o 10´ W, at sea level. It has a total area of 115 km2, with a ecosystem with great biological diversity and vegetation composition. Due its great importance in biological and vegetative diversity, it has been inserted in an Environmental Protection area, called EPA. The Vaza Barris river estuarine system has been suffering with human actions, such as recreation and leisure, traffic of maritime vessels, shrimp farming and real estate activities. The present work aims to understand the spatial and temporal distribution of geochemical biomarkers, the Aliphatic Hydrocarbons (AH) and Polycyclic Aromatic Hydrocarbons (PAH) on the superficial sediments of the Vaza Barris river. This work also intends to understand how sedimentary deposition has happened and the importance of this deposition. To conduct this study, samples were collected in two campaigns (Winter and Summer). During the winter, 13 sites were sampled with a triplicate in the station 13 (13a, 13b and 13c). In the summer campaign, it was repeated the 13 sites previous sampled and added two others, giving a total of 15 sites. For the extraction of hydrocarbons from the sediments, it was used Ultrasonic extraction, with dichloromethane as the extraction solvent. In the samples clean-up (alumina and silica), hexane was used for the AH (F1) Fraction elution and dichloromethane/n-hexane (1:1) for the elution of PAH fraction (F2). The analysis was carried out by Gas Chromatography/Mass Spectrometry (GC/MS). To understand the distribution of hydrocarbons, it as used several Diagnostic Index Ratios (DIR). The AH and its isoprenoid (Pristane and Phytane) had good recoveries, wit values between 50.74 and 108.95% and a mean recovery above 60% with relative standard deviation RSD of 18.8%. Their concentrations ranged from 0.19 up to 8.5 Êg.g-1 of dry sediment. The Carbon Preference Index (CPI) calculated for all points (except for VB2 and VB3 in winter) associated with reasons °alifaticos/n-C16 and BMM/AMM (ratio of Low Molecular Weight/High Molecular Weight) suggested biogenic contribution. Their values of RTA (Terrestrial to Aquatic Ratio) and predominance of odd chains and high concentrations of the n-C29 homologue indicated biogenic contribution with significant contribution of higher terrestrial plants. The recoveries of PAH ranged between 45.46 and 163.0% with a mean recovery above 100% and RSD of 28.31%. Their total concentrations ranged from 0.09 a 410.4 ng.g-1 of dry sediment, with levels above the TEL (NOAA) and PQT (Environment Canada). Its DIR indicated a mixture of contributions (petrogenico, pyrolytic and combustion of biomass), with a strong tendency of pyrolytic contribution. Its distribution shows a predominance of high molecular weight compounds, registering significant concentrations for Benzo(a)pyrene, Pyrene, followed by Benzo(b)fluoranthene and Benzo(a)anthracene, both considered mutagenic and carcinogenic. The predominance of pyrolytic contribution may be justified by the existing heavy boat traffic in the estuary.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.004
GPT teacher head0.221
Teacher spread0.217 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAmericanae (AECID Library)Same topicEnvironmental Chemistry and AnalysisFrench-language works237,207