Type‐curve estimation of statistical heterogeneity
By Shlomo P. Neuman, Alberto Guadagnini, Monica Riva. 2004
82 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering, Geophysics
View Paper: https://www.semanticscholar.org/paper/fab38b4db3cb8986a6444006060dadae3ffe8541
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Daniel M. Tartakovsky
- Shlomo P. Neuman
- Alberto Guadagnini
- Monica Riva
- Harry Vereecken
- Olaf A. Cirpka
- Wei Li
- Yong Zhang
In Environmental Engineering
- Daniel M. Tartakovsky
- Shlomo P. Neuman
- Alberto Guadagnini
- Wei Li
- Monica Riva
- Harry Vereecken
- Olaf A. Cirpka
- J. Vanderborght
In Geophysics
- Wei Li
- Shlomo P. Neuman
- Monica Riva
- Alberto Guadagnini
- Olaf A. Cirpka
- Wolfgang Nowak
- Peter K. Kitanidis
- Jonghyun Lee
Citations in the corpus
- Two‐dimensional characterization of hydraulic heterogeneity by multiple pumping tests (2007, methodology): “We stabilize the approach by a modified Levenberg-Marquardt method [Nowak and Cirpka, 2004], compute the sensitivities by the continuous adjoint-state method [Sun and Yeh, 1990], and accelerate the matrixmatrix multiplications involved by periodic embedding and spectral methods [Nowak et al., 2003].”
- Type curve interpretation of late‐time pumping test data in randomly heterogeneous aquifers (2007, methodology): “Neuman et al. (2004) proposed a graphical method to estimate the geostatistical parameters of (natural) log transmissivity on the basis of quasi–steady state head data when a randomly heterogeneous confined aquifer is pumped at a constant rate from a fully penetrating well.”