New statistical grain-size method for evaluating the hydraulic conductivity of sandy aquifers

Uma, K. O.; Egboka, B. C. E.; Onuoha, K. Mosto

doi:10.1016/0022-1694(89)90293-x

Cited by 69 publications

(44 citation statements)

References 5 publications

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“…Results of geo-electric resistivity surveys (Onwuemesi, 1990) and static water level measurements in the relatively shallow boreholes near the crest of the escarpment indicate that the water to 2 x 10 -3 m/s were obtained by Uma et al (1989), using grain size data. It would appear however, that the upper limits of this range reflects the gravely and coarse sand units which predominate in the region above water table.…”

Section: Hydrogeologic Setting Of the Study Areamentioning

confidence: 99%

“…These parameters together with the storage coefficient (S), as noted by Uma et al (1989) are the basic tools needed to assess the potential yield of aquifers over a long period of exploitation. The investigation was carried out in the University of Nigeria, Nsukka community including Nsukka metropolis and environs, in Enugu State, Southeastern Nigeria.…”

Section: Introductionmentioning

confidence: 99%

“…Environmental interpretations of the Ajali Sandstone have suggested fluvial and fluvialdeltaic depositional models (Reyment, 1965;Murat, 1972;and Ezepue, 1977). Egboka (1983) studied the groundwater resources of the Nsukka area and environs while Egboka et al (1989) evaluated the hydraulic conductivity of sandy aquifers in the Nsukka area using the new statistical grain-size method. Their findings suggest that the hydraulic conductivity (K) of the Ajali Sandstone is in the order of 1x 10 -2 cm/s, while the permeability is between 2.0 cm 2 to 20.7 x 10 -10 cm 2 .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The use of statistical grain-size method in analysing borehole and evaluating aquifer parameters. A case study of Ajali Sandstone formation, southeastern Nigeria

Ezim¹,

Obiadi²,

Akaegbobi³

2017

Glo Jnl Geo Sci

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Several challenges abound with the accurate estimation of aquifer parameters in Groundwater resource development. This paper describes the investigation on the aquifer (mainly Ajali Sandstone Formation) parameters in Nsukka area. The Ajali Sandstone Formation is among the principal sources of groundwater in the area. (9) boreholes drilled in the area were analysed texturally using statistical grain size method.Results show that the highly permeable members of Ajali Sandstone are devoid of surface waters and are seen to be friable, medium-grained, poorly sorted, and highly cross-bedded. Recharge is mainly through rainfall. The distribution of major geological units, well log data, static water level data, and surface features were found to have influenced groundwater occurrence and flow pattern in the study area. The lithological logs showed sandy aquifers separated by clayey aquitards, while stratigraphic analyses of well lithological logs revealed the presence of at least four layers of contrasting hydraulic conductivity, making the aquiferous Ajali Sandstone homogenous and anisotropic. Values of permeability (k) from 0.00753 to 0.01512 cm 2 , hydraulic conductivity (K) from 8.2886 to 16.6444 m/s, transmissivity (T) between 455.87 and 1002.48m 2 s -1 , and specific yield from 2.35 to 4.76m 3 were found to be consistently high, thus suggesting thick and prolific aquiferous zones.

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Section: Hydrogeologic Setting Of the Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The use of statistical grain-size method in analysing borehole and evaluating aquifer parameters. A case study of Ajali Sandstone formation, southeastern Nigeria

Ezim¹,

Obiadi²,

Akaegbobi³

2017

Glo Jnl Geo Sci

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“…Laboratory tests are also limited by non-availability of equipment in this part of the world, obtaining representative samples and long time required for testing. Estimating these properties from empirical formulae based on grain-size distribution characteristics have been developed and used to overcome these problems (Uma et al, 1989). …”

Section: Introductionmentioning

confidence: 99%

Estimating Aquifer Hydraulic Properties in Bida Basin, Central Nigeria Using Empirical Methods

Abdullahi¹

2013

ESR

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An evaluation of the aquifer properties of the inland sedimentary Bida basin, central Nigeria, was conducted using empirical methods derived from particle size distribution curves. The main aquifer properties determined were hydraulic conductivity, porosity, effective porosity and coefficient of uniformity. Samples for analysis were obtained from test water wells drilled to 100m in selected parts of the Basin. The empirical method used was the Hazens method, while porosity was determined in the laboratory. The results show that three levels of aquifers generally exist in the Basin. The aquifer material consist of well sorted medium sand to fine gravel. The upper aquifer occurs at a depth of between 10 -18m and has a hydraulic conductivity of 18.5m/d and effective porosity of 9.0. The second, or middle, aquifer occurs at a depth of between 45 -65m and has a hydraulic conductivity of 37m/d and effective porosity of 20. The third, or lower, aquifer occurs between 80 -100m and has a hydraulic conductivity of 32m/d and effective porosity of 24. Effective porosity generally increases with depth in the basin indicating coarsening up of the sandstone with fewer fine grained cementing material. Mean hydraulic conductivity value is 29.16m/d, porosity 63%, effective porosity of 6.7 and coefficient of uniformity of 2.8. The results have therefore shown that it is possible to obtain quantitative results from particle size distribution curves that are useful for the determination of hydraulic properties of aquifers.

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“…However, accurate estimation of hydraulic conductivity in the field environment by the field methods is limited by the lack of precise knowledge of aquifer geometry and hydraulic boundaries (Uma et al, 1989). The cost of field operations and associated well constructions can be prohibitive.…”

Section: Introductionmentioning

confidence: 99%

Conductivity Measurements

Glowacki

Jung

Ulański

2012

Polymer Science: A Comprehensive Reference

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Numerous methods for estimating soil saturated hydraulic conductivity exist, which range from direct measurement in the laboratory to models that use only basic soil properties. A study was conducted to compare laboratory saturated hydraulic conductivity (K sat ) measurement and that estimated from empirical models. Soil samples for the study were collected from four sites at varying depths (15cm, 30cm, 45cm and 60cm) at the Faculty of Agriculture Teaching and Research Farm, University of Maiduguri. The K sat value for each sample was determined in the laboratory using the falling head permeameter method. Soil physical properties (bulk density, porosity, gravimetric water content, % sand and % silt) required by the models were also determined. A refined Kozeny-Carman model and model developed from multiple regression analysis were used to predict K sat which were compared with the results obtained from laboratory measurement. The developed model predicted values of 0.0065, 0.0010, 0.0965 and 0.0048cm/s at 15cm, 30cm, 45cm and 60cm, respectively, that is closer to the value of K sat measured in the laboratory (0.0061, 0.0054, 0.0050 and 0.0048cm/s at 15cm, 30cm, 45cm and 60cm, respectively) while Kozeny-Carman model predicted a value of 0.2208, 0.2161, 0.2020 and 0.1974cm/s at 15cm, 30cm, 45cm and 60cm, respectively, that is far above the one measured in the laboratory. Therefore, K sat estimating models could not fit for all locations very well.

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New statistical grain-size method for evaluating the hydraulic conductivity of sandy aquifers

Cited by 69 publications

References 5 publications

The use of statistical grain-size method in analysing borehole and evaluating aquifer parameters. A case study of Ajali Sandstone formation, southeastern Nigeria

The use of statistical grain-size method in analysing borehole and evaluating aquifer parameters. A case study of Ajali Sandstone formation, southeastern Nigeria

Estimating Aquifer Hydraulic Properties in Bida Basin, Central Nigeria Using Empirical Methods

Conductivity Measurements

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