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Record W6981632521

Evaluación de la dispersión térmica y salina de salmuera tratada descargada en hábitat acuático del área de influencia marítima de la Central Termoeléctrica ILO 21

2017· dissertation· en· W6981632521 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2017
Typedissertation
Languageen
FieldHealth Professions
TopicMedical Research and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsOutfallBrineSalinityHydrology (agriculture)Numerical modelsSeawaterSubmarinePlume
DOInot available

Abstract

fetched live from OpenAlex

The objective of the present research was to evaluate thermal and saline treated brine discharge dispersion with numerical models to identify the appropriate area where to download minimizing the thermic and saline impact of aquatic habitat in the maritime area of the Central Power Plant Ilo 21 in the city of Ilo, Moquegua Peru. In a first phase proceeded with the collection and analysis of data measured in the study area; in a second phase scenarios were established to shape and then proceeded with the numerical modeling using 2 numerical near- field models and a numerical model for far-field which were Visual Plumes, Visjet and DELFT3D respectively.
\nThe numerical models used in this research work allowed identifying that the impact area in the sea by the discharge of brine covered in seashore is a very small area corresponding to 120 meters by 40 meters approximately. On the other hand, with outfall discharges did not affect areas in the sea.
\nSimilarly, it was possible to determine that the best alternative for discharge of brine mixed allowing minor thermal and salinity alteration of the sea is by submarine emissary to 20 meters deep in the sea.
\nThis study concluded that the zones in the sea with a lower degree of environmental impact are by mixed discharge of brine with outfall compared to areas in the sea with direct discharge of brine in seashore.
\nDirect current and real discharge (years 2015 and 2016) of brine in edge of beach was a small area of non-compliance with respect to the variation of temperature (delta 3 °C) of environmental quality standard (ECA) water standard, mixed brine by outfall discharge complies with the in ECA water standard concerning the variation of temperature (delta 3 °C). In addition, in all cases evaluated it met the Canadian guide for salinity standard.
\nThus, it was concluded that although scenarios where there have been underwater issuers offer a lesser degree of thermal and salinity impact, from an economic and environmental point of view, the current and real discharge on seashore it had no significant impacts on the sea.

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)0.007
metaresearch head score (Gemma)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.036
GPT teacher head0.503
Teacher spread0.467 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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