Stochastic analysis of the hydraulic conductivity estimated for a heterogeneous aquifer via numerical modelling

Chengpeng Lu, Ying Zhang, Longcang Shu, Xunhong Chen, Shuai Chen, Shulei Li, Guan Wang, Junjiang Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper aims to evaluate the impacts of the average hydraulic conductivity of the heterogeneous aquifer on the estimated hydraulic conductivity using the observations from pumping tests. The results of aquifer tests conducted at a karst aquifer are first introduced. A MODFLOW groundwater flow model was developed to perform numerical pumping tests, and the heterogeneous hydraulic conductivity (K) field was generated using the Monte Carlo method. The K was estimated by the Theis solution for an unconfined aquifer. The effective hydraulic conductivity (Ke) was calculated to represent the hydraulic conductivity of a heterogeneous aquifer. The results of numerical simulations demonstrate that Ke increase with the mean of hydraulic conductivity (EK), and decrease with the coefficient of variation of the hydraulic conductivity (Cv). The impact of spatial variability of K on the estimated Ke at two observation wells with smaller EK is less significant compared to the cases with larger EK.

Original languageEnglish (US)
Title of host publicationRemote Sensing and GIS for Hydrology and Water Resources
EditorsYangbo Chen, Ian Cluckie, Z. Su, Christopher Neale, Zongxue Xu, Jianzhong Zhou, Qiang Huang
PublisherCopernicus GmbH
Pages472-477
Number of pages6
ISBN (Electronic)9781907161469
DOIs
StatePublished - Jan 1 2015
Event3rd Remote Sensing and Hydrology Symposium, RSHS 2014 and the 3rd International Conference of GIS/RS in Hydrology, Water Resources and Environment, ICGRHWE 2014 - Guangzhou, China
Duration: Aug 24 2014Aug 27 2014

Publication series

NameIAHS-AISH Proceedings and Reports
Volume368
ISSN (Print)0144-7815

Other

Other3rd Remote Sensing and Hydrology Symposium, RSHS 2014 and the 3rd International Conference of GIS/RS in Hydrology, Water Resources and Environment, ICGRHWE 2014
CountryChina
CityGuangzhou
Period8/24/148/27/14

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Keywords

  • Effective hydraulic conductivity
  • Heterogeneity
  • MODFLOW
  • Monte Carlo
  • Random field

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this

Lu, C., Zhang, Y., Shu, L., Chen, X., Chen, S., Li, S., Wang, G., & Li, J. (2015). Stochastic analysis of the hydraulic conductivity estimated for a heterogeneous aquifer via numerical modelling. In Y. Chen, I. Cluckie, Z. Su, C. Neale, Z. Xu, J. Zhou, & Q. Huang (Eds.), Remote Sensing and GIS for Hydrology and Water Resources (pp. 472-477). (IAHS-AISH Proceedings and Reports; Vol. 368). Copernicus GmbH. https://doi.org/10.5194/piahs-368-472-2015