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Cloud-based Multi-Objective Calibration and Uncertainty Analysis of Computationally Expensive SWAT Models
Authors: Taimoor Akhtar, Narayan Kumar Shrestha, Prasad Daggupati
Identifier: CSBE21521
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Published in: CSBE-SCGAB Technical Conferences » 5th CIGR and AGM Quebec City 2021 » Special Session on Hydrological Modelling: a Tool for Resilient and Sustainable Agriculture
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Description: The Soil and Water Assessment Tool (SWAT) is a complex, computationally expensive and highly parameterized watershed modeling tool. Effective calibration of SWAT models requires tuning of many parameters, consideration of multiple objectives, and execution of many simulation runs ( typically, in thousands). This study presents a novel cloud-based calibration system for automatic parameter estimation of complex and computationally expensive SWAT watershed models. Our proposed system integrates the Multi-Objective (MO) Parallel Local Search (MOPLS) algorithm with a cloud-based calibration framework that is compatible with the popular SWAT-CUP (SWAT Calibration and Uncertainty Procedures) calibration workflow. Our integrated Multi-Objective SWAT calibration system is deployed on the Southern Ontario Smart Computing Innovation Platform’s (SOSCIP) Cloud Analytics platform. We applied our calibration system to SWAT models for watersheds in Ontario and upstate New York. Results show that our cloud-based calibration system is more efficient and effective than the existing algorithms / systems used for SWAT model calibration (e.g., SUFI-2). Moreover, the Multi-Objective calibration approach used in our system is very effective and efficient in understanding uncertainty and sensitivity of model parameters.
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Date: 2021-06-11
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Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: SPECIAL SESSION Hydrological modelling II
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Type: Text.Abstract
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Publication type: Presentation
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Coverage: Canada
Language 1: en
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Rights: Canadian Society for Bioengineering
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DOI:
Description: The Soil and Water Assessment Tool (SWAT) is a complex, computationally expensive and highly parameterized watershed modeling tool. Effective calibration of SWAT models requires tuning of many parameters, consideration of multiple objectives, and execution of many simulation runs ( typically, in thousands). This study presents a novel cloud-based calibration system for automatic parameter estimation of complex and computationally expensive SWAT watershed models. Our proposed system integrates the Multi-Objective (MO) Parallel Local Search (MOPLS) algorithm with a cloud-based calibration framework that is compatible with the popular SWAT-CUP (SWAT Calibration and Uncertainty Procedures) calibration workflow. Our integrated Multi-Objective SWAT calibration system is deployed on the Southern Ontario Smart Computing Innovation Platform’s (SOSCIP) Cloud Analytics platform. We applied our calibration system to SWAT models for watersheds in Ontario and upstate New York. Results show that our cloud-based calibration system is more efficient and effective than the existing algorithms / systems used for SWAT model calibration (e.g., SUFI-2). Moreover, the Multi-Objective calibration approach used in our system is very effective and efficient in understanding uncertainty and sensitivity of model parameters.
Keywords:
Résumé:
Mots-clés:
Citation:
Volume:
Issue:
Pages -
Contributor:
Date: 2021-06-11
Technical field:
Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: SPECIAL SESSION Hydrological modelling II
Other information:
Type: Text.Abstract
Format:
Publication type: Presentation
Source:
Relation:
Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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