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Record W4412372067 · doi:10.1002/ldr.70046

Insights Into the Declined Efficacy of In Situ Deep Soil Benzene Biostimulation: An Investigation Across Four Sites Over Three Years

2025· article· en· W4412372067 on OpenAlexafffundabout
Lidong Huang, Hongyang Wang, Steven D. Siciliano

Bibliographic record

VenueLand Degradation and Development · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial bioremediation and biosurfactants
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaInner Mongolia Agricultural UniversityAgResearch
KeywordsBiostimulationIn situEnvironmental scienceEnvironmental chemistryChemistryContaminationBiologyEcologyBioremediationOrganic chemistry

Abstract

fetched live from OpenAlex

ABSTRACT Biostimulation is a widely used approach for remediating deep‐layer oil‐contaminated soils. However, at four petroleum hydrocarbon‐contaminated sites in Saskatchewan, Canada, we observed a marked decline in the effectiveness of benzene biostimulation over a three‐year period. The underlying causes of performance decline are poorly understood. To investigate the factors contributing to the reduced efficacy of biostimulation, this study hypothesizes that either the delivery of amendments was affected by soil matrix or the prevalence of benzene‐degrading microbes declined in areas requiring remediation. Deep soil samples were collected annually and analyzed for benzene concentration, water‐soluble ions, and the abundance of functional microbial genes associated with benzene degradation. A generalized linear mixed model (GLMM) was used to examine the relationship between the binary remediation outcome (success or failure) at the sample scale and water‐soluble ion concentrations, with site treated as a random effect. A linear model was applied to investigate the relationship between failure rate of remediation and soil properties at the site scale. The GLMM identified soil pH, along with soluble PO 4 3− , Ca 2+ , SO 4 2− , NO 3 − and NO 2 − as significant contributors to the effectiveness of biostimulation at sample scale. Notably, Ca 2+ and PO 4 3− exhibited comparable importance but opposite effects, with Ca 2+ negatively and PO 4 3− positively associated with successful remediation. The linear model found that soil water‐soluble Ca 2+ and SO 4 2− were positively correlated with the rate of declined remediation outcomes at site scale ( p < 0.05). We inferred that at sites with moderately high background SO 4 2− , decade‐long natural attenuation rendered the benzene more recalcitrant. High soil‐soluble Ca 2+ could sequester the phosphate introduced by amendments, forming precipitates that reduced phosphorus availability. Given that the amendments contained nitric acid, an observed increase in pH or a decrease in electrical conductivity in the samples after biostimulation relative to pre‐biostimulation conditions, suggests that fewer amendments reached the polluted plume. This may indicate that the initial infiltration pathways became clogged, potentially due to Ca–P precipitation. Moreover, the decline in functional genes linked to anaerobic benzene degradation suggests insufficient microbial capacity to utilize the amendments. This emphasizes the need to tailor biostimulation strategies for successful in situ biostimulation, ensuring effective delivery of amendments, particularly over long‐term practices, and to sustain microbial activity under field conditions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.986

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)0.0000.000

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 head0.019
GPT teacher head0.255
Teacher spread0.235 · 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.

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
Published2025
Admission routes3
Has abstractyes

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