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Record W4388194194

Sludge Characterization of an Industrial Wastewater Treatment Plant, Iran

2013· article· en· W4388194194 on OpenAlexaboutno aff
Mehdi Ahmadi, Nikoo Bayati, Ali Akbar Babaei, Pari Teymouri

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Reuse
Canadian institutionsnot available
Fundersnot available
KeywordsSewage treatmentWastewaterEnvironmental scienceWaste managementCharacterization (materials science)Activated sludgeEnvironmental engineeringEngineeringMaterials scienceNanotechnology
DOInot available

Abstract

fetched live from OpenAlex

Background and purpose: Disposing sludge from industrial wastewater treatment plants (IWWTPs) is a serious issue because it can affect human and animals health, and also environmental quality. In this study, sludge from an IWWTP was analyzed regarding its physicochemical characteristics and disposal options. Materials and Methods: Grab sampling was used to collect 12 sludge samples biweekly (May-October 2012). One sample T-test was applied to analyze the obtained data. Canadian Soil Quality Guidelines (CSQG) and New Jersey Department of Environmental Protection Soil Cleanup Criteria (NJDEPSCC) were used to discuss the generated sludge disposal fate. Results: The results show that the order of the studied metals in the sludge was as: Fe>Al>Zn>Cr>Pb>Ni>Cd>Co>Cu>Mn>As>Hg. It was found that the generated sludge compared with CSQG is not suitable for residential/parkland, agricultural, commercial and industrial applications. But compared with NJDEPSCC, the studied sludge was suitable for residential and non-residential applications. Conclusion: According to NJDEPSCC, the studied sludge has the potential to be used for residential and non-residential purposes.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0350.000

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 head0.229
GPT teacher head0.448
Teacher spread0.219 · 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 designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicWastewater Treatment and ReuseFrench-language works237,207