Impacto del dragado de sedimentos del puerto de Salaverry en el ecosistema marino litoral
Bibliographic record
Abstract
Impacto del dragado de sedimentos del puerto de Salaverry en el ecosistema marino litoral Impact of dredging of sediments of the Salaverry Port on the litoral marine ecosystems Carlos A. Bocanegra García Universidad Nacional de Trujillo, Tujillo, Perú E-mail: carlosbocanegra2013@gmail.com Recibido el 14 de noviembre del 2016; aceptado el 10 de diciembre del 2016 DOI: https://doi.org/10.33017/RevECIPeru2016.0009/ Resumen Se evaluó el impacto del dragado de sedimentos en el puerto de Salaverry, principal centro de transporte de productos agrícolas, mineros, petróleo entre otros. El último dragado realizado en agosto del 2014, consistió en remover 1 163,000 m3 de sedimentos del fondo marino, con una draga hidráulica que succionó y depositó el material dragado en el entorno cercano del área portuaria, a la izquierda como derecha de la plataforma. Se determinó los principales contaminantes químicos (Pb, Zn, Cd, Cu) indicativos de la actividad portuaria. El estudio se realizó en ambas zonas de depósito del material dragado, de donde se tomó muestras de sedimentos y agua superficial, aves y peces capturados. En ambas zonas los valores de los metales pesados superaron el límite máximo permitido de acuerdo a los stándares internacionales, lo cual significa efectos negativos sobre el ecosistema marino costero y coloca en riesgo la salud pública. Descriptores: Impacto ambiental, contaminación portuaria, metales pesados, ecosistema litoral. Abstract The impact of dredging of sediments in the port of Salaverry, main center of transport of agriculture products, minerals, petroleum and others was evaluated. The last dredging carried out in august of 2014, removed 1 163, 000 m3 of the marine bottom sediments, with a hidraulic dredge which, were sucked out and lay aside wear the port área, at the left the right of fishermen platform. Main chemical contaminants were determined (Pb,Zn,Cd,Cu) indicatives of the port activity . Investigations was carried out in both zones, where samples of the sediments and superficial wáter, birds and fishes were taken. The values of heavy metals were higher than the maximum permited limit according the international standars, performing negative effects on the coastal marine ecosystems making a risk to the public healt. Keywords: Impact, chemical, marine ecosystems
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".