An application of parametric statistical tests to well-yield data from carbonates of central Pennsylvania

Siddiqui, S. H.; Parizek, Richard R.

doi:10.1016/0022-1694(74)90058-4

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Parametric statistical tests like one-way ANOVA and t test (Siddiqui and Parizek 1974;Knopman and Hollyday 1993) and non-parametric statistical tests such as KruskalWallis test (Siddiqui and Parizek 1972;Knopman and Hollyday 1993) can efficiently monitor the difference in well performances in different hydrogeological conditions. These techniques are used in the present study to verify if differences in WLF under different geological parameters are statistically significant or not.…”

Section: Methodsmentioning

confidence: 99%

Hydrogeological factors: their association and relationship with seasonal water-table fluctuation in the composite hardrock Aravalli terrain, India

Bhuiyan

2009

Environ Earth Sci

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Seasonal rise of groundwater level manifests aquifer recharge through infiltration. Spatial variation of aquifer recharge within the same basin or terrain is a function of terrain heterogeneity governed by different hydrogeological factors. However, assessment of relations between water-level fluctuations (WLF) with various hydrogeological factors is not straightforward. In the present study, various hydrogeological factors that could influence aquifer recharge in the deformed crystalline Aravalli terrain of India have been analysed. Frequency plots have been used to assess the variations in WLF under different geological parameter classes. Seasonal WLF associated with these factors have been compared using various statistical parameters. Parametric and non-parametric statistical tests have been used to determine the statistical significance of fluctuation difference. The study infers that saturated thickness, lineament, lineament-intersection, and drainage beside surface elevation and well depth are the main geological factors influencing aquifer recharge in the Aravalli terrain. Median values under these factors are integrated and compared with the interpolated values of mean WLF at hypothetical well locations. They are found to closely resemble each other. This infers capability and applicability of the technique in identifying key factors governing WLF, and in predicting WLF at unexplored locations.

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Section: Methodsmentioning

confidence: 99%

Hydrogeological factors: their association and relationship with seasonal water-table fluctuation in the composite hardrock Aravalli terrain, India

Bhuiyan

2009

Environ Earth Sci

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Use of sinkhole and specific capacity distributions to assess vertical gradients in a karst aquifer

McCoy¹,

Kozar²

2007

Environ Geol

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An application of parametric statistical tests to well-yield data from carbonates of central Pennsylvania

Cited by 3 publications

References 9 publications

Hydrogeological factors: their association and relationship with seasonal water-table fluctuation in the composite hardrock Aravalli terrain, India

Hydrogeological factors: their association and relationship with seasonal water-table fluctuation in the composite hardrock Aravalli terrain, India

Use of sinkhole and specific capacity distributions to assess vertical gradients in a karst aquifer

Ground-water resources of Cambrian and Ordovician carbonate rocks in the valley and ridge physiographic province of Pennsylvania

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