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Record W2017313331 · doi:10.5539/jsd.v7n3p59

Assessment of Groundwater Sustainability in the Bawku East Municipality of Ghana

2014· article· en· W2017313331 on OpenAlexvenueno aff
Musah Saeed Zango, Maxwell Anim-Gyampo, Boateng Ampadu

Bibliographic record

VenueJournal of Sustainable Development · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsnot available
Fundersnot available
KeywordsGroundwater rechargeGroundwaterAquiferEnvironmental scienceWater resource managementHydrology (agriculture)SustainabilityBoreholePopulationSustainable yieldCurrent (fluid)Resource (disambiguation)Water qualityGeologyEcology

Abstract

fetched live from OpenAlex

The sustainability of groundwater, which is the major source of potable water due to its general superiority in terms of natural quality and reliability in the semi-arid Bawku municipality had been assessed quantitatively using data on 760 boreholes, 79 hand-dug wells (HDWs), 8 mechanized boreholes, and water quality analysis of 25 boreholes and 10 HDWs. Analysis of drill logs revealed the existence of granitoids and Birimian metavolcanics as the main geological formations hosting structurally controlled aquifers. The estimated current annual water demand and abstraction were 6.52×106 and 2.8×106 m3 respectively while the estimated annual recharge rate, permanent groundwater reserve and recoverable water reserve were 20.6×106 m3, 799.02×106 m3 and 319.61×106 m3 respectively. The study showed that the current groundwater abstraction constitute only 13.6% of annual groundwater recharge, 35.02% of permanent groundwater reserve and meets only 42.9% of groundwater demand leaving a deficit of about 57.1% (3.72×106m3/yr). Thus, aquifers meet current demand and have the capacity to be further developed to meet future needs sustainably. The observed gradual decrease in groundwater levels, annual rainfall figures and a corresponding increase in temperature (unfavourable climate change effects) coupled with the ever-increasing population may impact negatively on groundwater reserve in the near future if adaptive measures are not put in place. We recommend for further and more detailed studies including but limited to continuous monitoring of groundwater levels, yield, quality and isotopic studies of the resource in the municipality so as to ensure sustainable management to meet the socio-economic needs of the inhabitants.

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)0.001
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 score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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

Citations11
Published2014
Admission routes1
Has abstractyes

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Same venueJournal of Sustainable DevelopmentSame topicGroundwater flow and contamination studiesFrench-language works237,207