MétaCan
Menu
Back to cohort
Record W948020987 · doi:10.3233/ajw-2006-3_1_11

Environmental Assessment of Tannery Wastes from Chittagong, Bangladesh

2006· article· en· W948020987 on OpenAlexaff
Pranab K. Das, Biplob Das, Yusuf Sharif Ahmed Khan

Bibliographic record

VenueAsian Journal of Water Environment and Pollution · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicChromium effects and bioremediation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEnvironmental scienceWater resource managementGeographyEnvironmental protection

Abstract

fetched live from OpenAlex

The present paper deals with the study of different physico-chemical parameters as well as metal concentration in the effluents discharged by a leather processing industry, Madina Tannery, Chittagong, Bangladesh.Industrial effluents were collected from every section of the leather-processing unit (viz., preliminary soaking,soaking, dehairing, re-liming, bating, pickling, chrome tanning, neutralization, colouring and fat liquoring). The pH value and concentrations (mg.l-1) of TDS, TSS, Cl-, BOD, COD and Cr were found in the range of 3.4-12.8, 570- 85,340- 68,2384,-69,23-125, 1148-8875, 2068-16,231 and 26-6853 respectively. Levels (mg.l-1) of BOD, COD,Chloride (Cl-), Electric Conductivity (EC), Total Alkalinity (TA), Total Dissolved Solid (TDS) and Total Suspended Solid (TSS) were found in the range of 4768-5798, 6636-7859, 1978-2215, 2900-5600, 745-1358, 7068-9068 and 1003-2307 respectively. Metal concentrations (mg.l-1) of Cr, Mn, Fe and Cd were found in the range of 69,74,0.07,0.09, 2.5412,2.8796 and 0.0257,0.0325 respectively. The study reveals that tannery effluents play a key rolein environmental contamination.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.003
GPT teacher head0.175
Teacher spread0.173 · 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 teacher head, not a consensus.

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

Citations4
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueAsian Journal of Water Environment and PollutionSame topicChromium effects and bioremediationFrench-language works237,207