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Record W4409585439 · doi:10.37745/bjes.2013/vol13n3120

Impact of Anthropogenic Pressures on the Physico-Chemical Characteristics and Quality of Surface Water from Amadi Creek, Port Harcourt, Rivers State, Nigeria: Implication to Water Quality and Ecological Health

2025· article· en· W4409585439 on OpenAlexaboutno aff
Dokuboba Amachree, Akayinaboderi Augustus Eli, O. T. Lazarus, O. A. Franca

Bibliographic record

VenueBritish Journal of Environmental Sciences · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsPort harcourtWater qualityEnvironmental scienceSurface waterQuality (philosophy)Water resource managementPort (circuit theory)Hydrology (agriculture)EcologyEnvironmental protectionEnvironmental engineeringGeologyEngineeringSocioeconomicsBiology

Abstract

fetched live from OpenAlex

The physico-chemical characteristics of surface water is a determinant factor for the overall health and functionality of aquatic ecosystems. This study aimed to assess the physico-chemical characteristics and water quality index of surface water from Amadi Creek, Port Harcourt, Rivers State, Nigeria. Monthly samples were collected from three stations (1. Marine base jetty, 2. Niger Delta Development Commission, NDDC water front and 3. Eastern bye-pass bridge) between June and August, 2023 using standard methods. Water quality was analysed using the Single factor index (SFI), Nemerow pollution index (NPI), water pollution index (WPI) and Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI). The results showed no significant monthly variation in most parameters measured except turbidity, THC and TOC, which recorded highest values (mean ± SD, ANOVA p<0.05) in August (turbidity: 48.33±23.71 NTU and THC: 5.42±3.00mg/L) and June (TOC: 0.65±0.05mg/L) respectively. Spatially, most physico-chemical characteristics were consistent across stations except for EC, ORP, salinity and TDS which were significantly decreased at the Eastern bye-pass bridge. Nutrients (phosphate, nitrate and sulphate) levels did not exhibit any spatial or temporal variations. Comparing average parameters values to permissible limits showed that DO, EC, pH, salinity, phosphate, nitrate was within the permissible limit while temperature, turbidity, BOD, THC and sulphate exceeded permissible limits set by Environmental Protection Authority (EPA) Victoria, European Union (EU) and National Environmental Standards and Regulations Enforcement Agency (NESREA). The SFI identified total hydrocarbon (9.47), Sulphate (6.54) and Total hydrocarbon (6.50) again as the dominant pollutant in Marine base jetty, NDDC water front and Eastern bye-pass bridge respectively. NPI and CCME-WQI classified water quality across stations as moderately polluted and marginally acceptable respectively, while WPI rated Marine based jetty as heavily polluted (WPI 7.33) and the other two stations as impure. In conclusion, while some physico-chemical parameters are within acceptable limits, elevated levels of temperature, turbidity, BOD, THC, and sulphate signify substantial anthropogenic pressure. Although, there were slight variations among the water quality indices (SFI, NPI, WPI, and CCME-WQI), all indices consistently identified Marine Base Jetty as the most polluted, primarily due to hydrocarbon and sulphate followed by Eastern bye-pass bridge then NNDC water front recording notable pollution. Immediate remediation is necessary to mitigate water quality degradation in Amadi Creek.

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 score0.011
Threshold uncertainty score0.023

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 studies0.0000.000
Scholarly communication0.0010.000
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 head0.032
GPT teacher head0.332
Teacher spread0.300 · 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
Published2025
Admission routes1
Has abstractyes

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