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Application and evaluation of SWAT-C model to predict TOC loading in the Hwangryong River Watershed

Authors :
Dongho Kim
Jiwon Lee
Hyemin Jeong
Yongsung Kwon
Byeongwon Lee
Sangchul Lee
Source :
대한환경공학회지, Vol 44, Iss 10, Pp 354-365 (2022)
Publication Year :
2022
Publisher :
Korean Society of Environmental Engineers, 2022.

Abstract

Objectives This study aims to assess the applicability of the SWAT-C water quality model recently developed to predict in-stream Total Organic Carbon (TOC) in a watershed within South Korea. Methods The SWAT-C model was tested in the Hwangryong River Watershed. SWAT-C is an advanced version of Soil and Water Assessment Tool (SWAT) to simulate carbon cycling at the watershed scale. The model was simulated for 11 years (2010-2020) consisting of 2-year warm-up (2010-2011), 6-year calibration (2012-2017), and 3-year validation (2018-2020) periods. SWAT-C was calibrated and validated against monthly streamflow and TOC loads. The model performance was evaluated using NSE (Nash-Sutcliffe efficiency), KGE (Kling-Gupta efficiency), and PBIAS (percent bias) Simulated Dissolve Organic Carbon (DOC) and Particulate Organic Carbon (POC) loads were also presented to see the major caron type loaded to the downstream. Results and Discussion The calibration results showed that SWAT-C could depict streamflow and TOC loads with acceptance model performances (NSE > 0.5, KGE > 0.5 and PBIAS =< 25%). Especially, the seasonal variations of TOC loads were well simulated by SWAT-C. The TOC load was predicted to increase in the summer season with high precipitation and slightly lower in the other seasons. This seasonal pattern is likely caused by frequent heavy rainfall events in summer. Conclusion This study demonstrated that SWAT-C model is applicable in South Korea with sufficient prediction accuracy. Thus, SWAT-C would serve as an efficient tool to monitor TOC loads in South Korea.

Details

Language :
English, Korean
ISSN :
12255025 and 23837810
Volume :
44
Issue :
10
Database :
Directory of Open Access Journals
Journal :
대한환경공학회지
Publication Type :
Academic Journal
Accession number :
edsdoj.f58e002e71b1494289f8ebdd6254b97b
Document Type :
article
Full Text :
https://doi.org/10.4491/KSEE.2022.44.10.354