The parameter uncertainty in hydrological modelling has been accorded much attention in the recent past. Parameter uncertainty is a major source of overall model unreliability. In this study, the HydroPSO R package was used to assess parameter identification and uncertainty for the Soil and Water Assessment Tool (SWAT) model applied in the upper reaches of Nzoia River Basin. Fourteen parameters were selected based on previous studies and parameter sensitivity analysis using the Latin Hypercube Sampling method.
This document is an output of a CIFOR-led project, entitled: “Adaptation of people to climate change in East Africa: Ecosystem services, risk reduction and human well-being”. (AdaptEA). This project is being implemented in collaboration with Makerere University, the Kenya Forestry Research Institute (KEFRI) and the World Agroforestry Centre (ICRAF). Primary funding for this project was provided through a grant from the Rockefeller Foundation (2011 CRD 306). Complementary funding was received from two CIFOR-led projects funded by AusAID (63560) and UNITAR (G.EGP.2011.03). Additional project information and publications are found on the project managers staff page, Aaron J.M. Russell.
Publication Year: 2014
Source: Journal of Sustainable Research in Engineering 1(3): 17-29Creative Commons Attribution 4.0 International License.