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Record W7120343196

Environmental impacts in the necropole area in the municipality of Caçapava do Sul-RS

2017· dissertation· pt· W7120343196 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2017
Typedissertation
Languagept
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
Fundersnot available
KeywordsAquiferHydrogeologyInfiltration (HVAC)GroundwaterPollutionPopulationHydrology (agriculture)Groundwater pollutionPermeameter
DOInot available

Abstract

fetched live from OpenAlex

In the face of population growth, the natural resources are being overused by the inhabitants of the planet. Historically, sites for the allocation of cemeteries were chosen due to their low economic value, and without any previous geological and hydrogeological studies, so that the soil and water could be exposed to several contaminants. The objective of this work was to determine the soil and groundwater contamination potential in the area of influence of the municipal cemetery of Caçapava do Sul, in Rio Grande do Sul. It has a surficial area to the 0,018 km2. In the determination of the physical characteristics of the soil, was carried out by means of the Guelph permeameter and determined the infiltration coefficient in 7 distinct points. The subsurface was also carried out by means of the geophysical technique of electrically conducting the electric resistance, which allows evaluating anomalies in the resistivity values and from this estimate the geological material that composes the subsoil. The use of the GOD system for evaluation of the aquifer pollution vulnerability. The metal concentration present in water and soil were determined using the Inductively Coupled Plasma Atomic Emission Spectrometry and Inductively Coupled Plasma Mass Spectrometry technique. According to the physical characteristics of the soil, a highly permeable soil was identified. In relation to the infiltration coefficient, values range between 21 to 85 L/m2.day. So the physical techniques indicated a wide variability in the constitution of soils, regolith and granite rock. The subsurface of the terrain was investigated in 6 cable sections. Through the resistivities were identified materials from the weathering of granite, consolidated rock and the saturated zone in water and salts beneath of the soil. With the application of the GOD system it was estimated the class of extreme vulnerability to aquifer where the cemetery is implanted. From the chemical characteristics of the groundwater, several elements were below the Limit of Quantification established by the directive Nº 2914/2011 of M.S. The Manganese presented high values, being in disagreement with the quality reference values of the groundwater. The concentrations of the elements present in the soil include Zinc, Copper and Lead, which may come from funeral props such as metal coils of coffins and paints and varnishes used to preserve wood. Barium presented concentrations possibly being of natural origin. Sodium showed elevated concentrations, which may be an indication of soil contamination by cemetery leachate, since it is a solution rich in salts. The soil was classified as class 3 according to CONAMA 420/2009. The results of this work show that the choice of an area for implantation of cemetery activity must be carried out with great care, not only aiming at the lowest financial cost, but also the environmental sustainability. So we conclude that the use of improper areas do not come to compromise the quality of the environment and life of the people living in the vicinity of these places.

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)0.000
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 score0.118
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.273
Teacher spread0.245 · 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

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