IRUS Total

Sensitivity analysis of the parameter-efficient distributed (PED) model for discharge and sediment concentration estimation in degraded humid landscapes

File Description SizeFormat 
LDD-17-0800.R1_accepted.pdfAccepted version2.49 MBAdobe PDFView/Open
Title: Sensitivity analysis of the parameter-efficient distributed (PED) model for discharge and sediment concentration estimation in degraded humid landscapes
Authors: Ochoa-Tocachi, B
Alemie, T
Guzman, CD
Tilahun, SA
Zimale, FA
Buytaert, W
Steenhuis, TS
Item Type: Journal Article
Abstract: Sustainable development in degraded landscapes in the humid tropics require effective soil and water management practices. Coupled hydrological‐erosion models have been used to understand and predict the underlying processes at watershed scale and the effect of human interventions. One prominent tool is the parameter‐efficient distributed (PED) model, which improves on other models by considering a saturation‐excess runoff generation driving erosion and sediment transport in humid climates. This model has been widely applied at different scales for the humid monsoonal climate of the Ethiopian Highlands, with good success in estimating discharge and sediment concentrations. However, previous studies performed manual calibration of the involved parameters without reporting sensitivity analyses or assessing equifinality. The aim of this article is to provide a multi‐objective global sensitivity analysis of the PED model using automatic random sampling implemented in the SAFE Toolbox. We find that relative parameter sensitivity depends greatly on the purpose of model application and the outcomes used for its evaluation. Five of the 13 PED model parameters are insensitive for improving model performance. Additionally, associating behavioural parameter values with a clear physical meaning provides slightly better results and helps interpretation. Lastly, good performance in one module does not translate directly into good performance in the other module. We interpret these results in terms of the represented hydrological and erosion processes and recommend field data to inform model calibration and validation, potentially improving land degradation understanding and prediction and supporting decision‐making for soil and water conservation strategies in degraded humid landscapes.
Issue Date: 30-Jan-2019
Date of Acceptance: 18-Oct-2018
URI: http://hdl.handle.net/10044/1/65598
DOI: https://doi.org/10.1002/ldr.3202
ISSN: 1085-3278
Publisher: Wiley
Start Page: 151
End Page: 165
Journal / Book Title: Land Degradation and Development
Volume: 30
Issue: 2
Copyright Statement: © 2018 John Wiley & Sons, Ltd. This is the pre-peer reviewed version of the following article: Ochoa‐Tocachi BF, Alemie TC, Guzman CD, et al. Sensitivity analysis of the parameter‐efficient distributed (PED) model for discharge and sediment concentration estimation in degraded humid landscapes. Land Degrad Dev. 2018;1–15., which has been published in final form at https://dx.doi.org/10.1002/ldr.3202.
Sponsor/Funder: Natural Environment Research Council (NERC)
Imperial College London
Natural Environment Research Council [2006-2012]
Funder's Grant Number: NE/K010239/1
President's PhD Scholarship
Keywords: Science & Technology
Life Sciences & Biomedicine
Environmental Sciences
Soil Science
Environmental Sciences & Ecology
erosion model
global sensitivity analysis
multimethod GSA
rainfall-runoff model
SAFE Toolbox
sediment modelling
Agronomy & Agriculture
03 Chemical Sciences
04 Earth Sciences
05 Environmental Sciences
Publication Status: Published
Online Publication Date: 2018-11-19
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering
Centre for Environmental Policy
Faculty of Natural Sciences

Unless otherwise indicated, items in Spiral are protected by copyright and are licensed under a Creative Commons Attribution NonCommercial NoDerivatives License.

Creative Commons