Sensitivity of linear and nonlinear surface runoff models to input errors Academic Article

abstract

• We examined the relationship between errors in runoff peak predictions by linear and nonlinear surface runoff models and errors in input intensity. We have shown that if input intensity errors are sufficiently large, a linear model optimally identified according to a least-squares criterion may perform better than a nonlinear model even though the system is truly nonlinear. 1976.

authors

• Singh, Vijay

published proceedings

• Journal of Hydrology

author list (cited authors)

• Singh, V. P., & Woolhiser, D. A.

citation count

• 30

complete list of authors

• Singh, Vijay P||Woolhiser, David A

publication date

• April 1976

publisher

• Elsevier  Publisher

published in

• Journal of Hydrology  Journal

Digital Object Identifier (DOI)

• 10.1016/0022-1694(76)90039-1

start page

• 243

end page

• 249

volume

• 29

issue

• 3-4

URL

• http://dx.doi.org/10.1016/0022-1694(76)90039-1