Impact of sampling volume on the probability density function of steady state concentration
By Ronnie L. Schwede, Olaf A. Cirpka, Wolfgang Nowak, Insa Neuweiler. 2008
59 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/61426d0a5eabfaa1438075623c5c5deccaf0f1ab
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
In Environmental Engineering
- F. P. J. D. Barros
- Yoram Rubin
- Wolfgang Nowak
- Aldo Fiori
- Sergey Oladyshkin
- Olaf A. Cirpka
- Peter K. Kitanidis
- Jonghyun Lee
Citations in the corpus
- First‐order based cumulative distribution function for solute concentration in heterogeneous aquifers: Theoretical analysis and implications for human health risk assessment (2014, methodology): “This approach has been used in the literature for r2Y 1 [Fiori, 2001; Fiorotto and Caroni, 2002; Bellin and Tonina, 2007; Cirpka et al., 2008; Bellin et al., 2011] and has been numerically verified [e.g., Schwede et al., 2008; Meyer et al., 2010].”
- Best unbiased ensemble linearization and the quasi‐linear Kalman ensemble generator (2009, background): “[95] Theoretically, concentration follows the beta distribution [Fiorotto and Caroni, 2002; Caroni and Fiorotto, 2005] if measured in small support volumes, and approaches normality for larger support volumes [Schwede et al., 2008].”
- Bayesian geostatistical design: Task‐driven optimal site investigation when the geostatistical model is uncertain (2010, background): “[40] Structural uncertainty also affects the standard deviation of concentration, compare Figures 2 and 3 and analytical expressions [e.g., Fiorotto and Caroni, 2002; Caroni and Fiorotto, 2005; Schwede et al., 2008].”