Evaluating InVEST model for simulating annual and seasonal water yield in data-scarce regions of the Abbay (Upper Blue Nile) Basin: implications for water resource planners and managers

In developing countries, hydrological data is one of the limiting factors for evidence-based water resources planning and management. Thus, evaluating the performance of hydrological models that require relatively simple inputs is imperative for using them in the decision-making process. This study...

Full description

Saved in:
Bibliographic Details
Published in:Sustainable water resources management 2022-10, Vol.8 (5), Article 170
Main Authors: Gashaw, Temesgen, Worqlul, Abeyou W., Dile, Yihun T., Sahle, Mesfin, Adem, Anwar A., Bantider, Amare, Teixeira, Zara, Alamirew, Tena, Meshesha, Derege T., Bayable, Getachew
Format: Article
Language:English
Subjects:
Calibration
Decision making
Developing countries
Development Economics
Earth and Environmental Science
Earth Sciences
Environment models
Hydrogeology
Hydrologic data
Hydrologic models
Hydrology
Hydrology/Water Resources
LDCs
Limiting factors
Original Article
Parameter sensitivity
Performance evaluation
Soil water
Sustainable Development
Water Policy/Water Governance/Water Management
Water resources
Water yield
Watersheds
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In developing countries, hydrological data is one of the limiting factors for evidence-based water resources planning and management. Thus, evaluating the performance of hydrological models that require relatively simple inputs is imperative for using them in the decision-making process. This study aims to evaluate the performance of the Integrated Valuation of Ecosystem and Tradeoff (InVEST) models for simulating annual and seasonal water yields in data-scarce regions of the Abbay (Upper Blue Nile) Basin with a case study in the Gumara watershed. The input data required by the InVEST Water Yield and the InVEST Seasonal Water Yield models were prepared from primary and ancillary data sources. The two InVEST models were calibrated using the calibrated Soil and Water Assessment Tool (SWAT) model outputs, and NSE of 0.86 and 0.91, PBAIS of 2.5% and 20.8%, and RMSE of 16 mm and 7 mm were obtained for the InVEST Water Yield and Seasonal Water Yield models, respectively. The attained performance measures indicated that both models can be used for evidence-based water resources planning and management in data-scarce regions of the Upper Blue Nile Basin. However, due attention is needed for calibrating the models since they are sensitive to the calibrating parameters.
ISSN:2363-5037
2363-5045
DOI:10.1007/s40899-022-00757-3