Comparison of two different approaches of sensitivity analysis

By T. Lenhart, K. Eckhardt, Nicola Fohrer, H. Frede. 2002

556 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Soil Science, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/3c272a9da5577b4f31a271870757848dda70f279

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

1. Gerard B. M. Heuvelink
2. James D. Brown

In Soil Science

1. Gerard B. M. Heuvelink

In Water Science and Technology

1. M. Reyes
2. Colleen H. M. Green
3. Philip Gassman
4. Jeffrey G. Arnold
5. Gerard B. M. Heuvelink
6. James D. Brown
7. Misgana K. Muleta
8. Raghavan Srinivasan

Citations in the corpus

• The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions (2007, methodology): “Continued Calibration Validation Daily Monthly Annual Daily Monthly Annual -0-.333Reference Watershed Area (km2) Indicator Time period (C = calibration; V = validation) r2 NSE r2 NSE r2 NSE r2 NSE r2 NSE r2 NSE Du et al. (2005) Walnut Creek (Iowa); subwatershed & watershed outlet 51.3 (total area) s”
• Assessing uncertainty propagation through physically based models of soil water flow and solute transport (2006, background): “In general, models of soil water flow and solute transport will be highly sensitive to the specification of physical parameters, such as bulk density and hydraulic conductivity (e.g. Schaap and Leij, 1998; Abbaspour et al., 2000; Christiaens and Feyen, 2001; Lenhart et al., 2002; Vachaud and Chen, 2”
• Predicting crop yields and soil‐plant nitrogen dynamics in the US Corn Belt (2020, unknown): “We performed a one-factor-at-a-time sensitivity analysis (Lenhart et al., 2002).”