@inproceedings{e74538093e9c4c0593ab732dea0287bf,
title = "Characterizing the spatial variability of transmissivity using stochastic type-curve and numerical inverse analyses of data from a sequence of pumping tests",
abstract = "We discuss two recent methods of characterizing the spatial variability of a random (natural) log transmissivity field on the basis of observed space-time variations in hydraulic head: a graphical stochastic type-curve method and a geostatistical method of inverting (ensemble) mean flow equations. While both methods allow estimating the unconditional variance and integral (correlation) scale of log transmissivities, geostatistical inversion is computationally more intensive, but also provides tomographic images of how log transmissivity estimates and their variance vary in space. We apply the two approaches to synthetic scenarios and to measured late time (quasi-steady state) drawdowns from a sequence of transient pumping tests in an unconfined aquifer near T{\"u}bingen, Germany.",
keywords = "Geostatistics, Pumping tests, Stochastic inverse models, Type curves",
author = "Monica Riva and Alberto Guadagnini and Neuman, {Shlomo P.}",
year = "2008",
language = "English (US)",
isbn = "9781901502497",
series = "IAHS-AISH Publication",
number = "320",
pages = "39--44",
booktitle = "Proceedings of an International Conference on Calibration and Reliability in Groundwater Modelling",
edition = "320",
note = "International Conference on Calibration and Reliability in Groundwater Modelling: Credibility of Modelling, ModelCARE2007 ; Conference date: 09-09-2007 Through 13-09-2007",
}