Formulating surrogate pumping test data sets to assess aquifer hydraulic conductivity

A hypothesis to estimate hydraulic conductivity from surrogate pumping tests formulated using routinely monitored pumping rates and hydraulic heads is tested. The data set of a surrogate pumping test contains only a few late-time drawdowns represented by changes in heads at selected monitoring wells...

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Main Author: Kerang Sun
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Journal of Hydrology X
Online Access:http://www.sciencedirect.com/science/article/pii/S258991551830004X
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author Kerang Sun
author_facet Kerang Sun
author_sort Kerang Sun
collection DOAJ
description A hypothesis to estimate hydraulic conductivity from surrogate pumping tests formulated using routinely monitored pumping rates and hydraulic heads is tested. The data set of a surrogate pumping test contains only a few late-time drawdowns represented by changes in heads at selected monitoring wells in responses to changes in pumping rate at an extraction well. The surrogate pumping test can be analyzed using a simple analytical model to estimate hydraulic conductivity. Compared with conventional aquifer testing methods such as short-term pumping and slug tests, the method offers the following advantages: (1) it permits estimation of hydraulic conductivity using fewer data points; (2) it is unaffected by the potentially altered, near-well conditions that often affect slug tests; and (3) it offers cost and schedule savings by eliminating field work. The method was applied at a project site, yielding hydraulic conductivity values more than an order of magnitude higher than those derived from slug tests, and comparable to values derived from a standard 24-h pumping test. Keywords: Surrogate, Aquifer testing, Hydraulic conductivity, Permeability, Pumping test, Slug test
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spelling doaj.art-d0249baa0e4d4ff0b4fb775c645cf9f32022-12-22T01:27:35ZengElsevierJournal of Hydrology X2589-91552018-12-011Formulating surrogate pumping test data sets to assess aquifer hydraulic conductivityKerang Sun0Jacobs Engineering Group Inc., 2600 Michelson Drive #500, Irvine, CA 92612, USAA hypothesis to estimate hydraulic conductivity from surrogate pumping tests formulated using routinely monitored pumping rates and hydraulic heads is tested. The data set of a surrogate pumping test contains only a few late-time drawdowns represented by changes in heads at selected monitoring wells in responses to changes in pumping rate at an extraction well. The surrogate pumping test can be analyzed using a simple analytical model to estimate hydraulic conductivity. Compared with conventional aquifer testing methods such as short-term pumping and slug tests, the method offers the following advantages: (1) it permits estimation of hydraulic conductivity using fewer data points; (2) it is unaffected by the potentially altered, near-well conditions that often affect slug tests; and (3) it offers cost and schedule savings by eliminating field work. The method was applied at a project site, yielding hydraulic conductivity values more than an order of magnitude higher than those derived from slug tests, and comparable to values derived from a standard 24-h pumping test. Keywords: Surrogate, Aquifer testing, Hydraulic conductivity, Permeability, Pumping test, Slug testhttp://www.sciencedirect.com/science/article/pii/S258991551830004X
spellingShingle Kerang Sun
Formulating surrogate pumping test data sets to assess aquifer hydraulic conductivity
Journal of Hydrology X
title Formulating surrogate pumping test data sets to assess aquifer hydraulic conductivity
title_full Formulating surrogate pumping test data sets to assess aquifer hydraulic conductivity
title_fullStr Formulating surrogate pumping test data sets to assess aquifer hydraulic conductivity
title_full_unstemmed Formulating surrogate pumping test data sets to assess aquifer hydraulic conductivity
title_short Formulating surrogate pumping test data sets to assess aquifer hydraulic conductivity
title_sort formulating surrogate pumping test data sets to assess aquifer hydraulic conductivity
url http://www.sciencedirect.com/science/article/pii/S258991551830004X
work_keys_str_mv AT kerangsun formulatingsurrogatepumpingtestdatasetstoassessaquiferhydraulicconductivity