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Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model

Guo, Renkui LU orcid ; Mohammadi, Babak LU orcid ; Gao, Hongkai ; Liu, Junzhi and Duan, Zheng LU (2024) In Physics and Chemistry of the Earth 134.
Abstract

This study investigated the applicability and performance of a hydrological model (namely FLEXG) for simulating streamflow in boreal catchment, exemplified by the representative Krycklan catchment. The FLEXG simulated daily streamflow for the whole catchment and its sub-catchments. The Kling-Gupta Efficiency (KGE) and Nash-Sutcliffe Efficiency (NSE) demonstrated favorable model performance during the calibration period (KGE = 0.88 and NSE = 0.75) and the subsequent validation (KGE = 0.81 and NSE = 0.63) period for the Krycklan catchment. Notably, a high degree of congruence was observed across eight sub-catchments, with KGE values consistently exceeding the threshold of 0.7 during both calibration and validation... (More)

This study investigated the applicability and performance of a hydrological model (namely FLEXG) for simulating streamflow in boreal catchment, exemplified by the representative Krycklan catchment. The FLEXG simulated daily streamflow for the whole catchment and its sub-catchments. The Kling-Gupta Efficiency (KGE) and Nash-Sutcliffe Efficiency (NSE) demonstrated favorable model performance during the calibration period (KGE = 0.88 and NSE = 0.75) and the subsequent validation (KGE = 0.81 and NSE = 0.63) period for the Krycklan catchment. Notably, a high degree of congruence was observed across eight sub-catchments, with KGE values consistently exceeding the threshold of 0.7 during both calibration and validation periods. These findings underscore the FLEXG model's aptitude for simulating streamflow within boreal catchments, as evidenced by its ability to capture seasonal patterns across the catchment. Additionally, regression analysis was conducted to examine the intricate relationships between model parameters and varied catchment characteristics. These catchment characteristics were identified as pivotal factors influencing streamflow modelling in the study region. Specifically, it was established that catchment size shows a negative correlation with the splitter D (R2 = 0.7), a parameter intimately associated with both fast and slow recession periods. The proportion of forest cover was negatively correlated with the slow response reservoir recession coefficient, Kf (R2 = 0.57), whereas the proportion of wetland cover displayed a positive correlation with Ks (R2 = 0.54). These correlations underscore the substantive impact of land use patterns on streamflow generation dynamics within the boreal catchment context.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Boreal catchment, Catchment characteristics, FLEX model, Krycklan, Model parameter, Streamflow
in
Physics and Chemistry of the Earth
volume
134
article number
103565
publisher
Elsevier
external identifiers
  • scopus:85184059327
ISSN
1474-7065
DOI
10.1016/j.pce.2024.103565
language
English
LU publication?
yes
additional info
Funding Information: This study was supported by the Crafoord Foundation (No. 20200595 and No. 20210552 ) and Stiftelsen Oscar och Lili Lamms Minne ( DO 2021-0019 ). We also want to acknowledge the KCS project ( https://www.slu.se/en/departments/forest-ecology-management/environment/krycklan/ ) for providing the Krycklan guide and geographical data. And we acknowledge the Swedish Infrastructure for Ecosystem Science (SITE, https://data.fieldsites.se/portal/ ) for supporting climate and streamflow data. We express our gratitude to the three anonymous reviewers for their constructive comments, which helped us improve the quality of our manuscript. Publisher Copyright: © 2024 The Author(s)
id
238ffa3b-4033-46db-9bae-4f806e3184e6
date added to LUP
2024-02-14 14:42:52
date last changed
2024-02-16 13:11:35
@article{238ffa3b-4033-46db-9bae-4f806e3184e6,
  abstract     = {{<p>This study investigated the applicability and performance of a hydrological model (namely FLEX<sup>G</sup>) for simulating streamflow in boreal catchment, exemplified by the representative Krycklan catchment. The FLEX<sup>G</sup> simulated daily streamflow for the whole catchment and its sub-catchments. The Kling-Gupta Efficiency (KGE) and Nash-Sutcliffe Efficiency (NSE) demonstrated favorable model performance during the calibration period (KGE = 0.88 and NSE = 0.75) and the subsequent validation (KGE = 0.81 and NSE = 0.63) period for the Krycklan catchment. Notably, a high degree of congruence was observed across eight sub-catchments, with KGE values consistently exceeding the threshold of 0.7 during both calibration and validation periods. These findings underscore the FLEX<sup>G</sup> model's aptitude for simulating streamflow within boreal catchments, as evidenced by its ability to capture seasonal patterns across the catchment. Additionally, regression analysis was conducted to examine the intricate relationships between model parameters and varied catchment characteristics. These catchment characteristics were identified as pivotal factors influencing streamflow modelling in the study region. Specifically, it was established that catchment size shows a negative correlation with the splitter D (R<sup>2</sup> = 0.7), a parameter intimately associated with both fast and slow recession periods. The proportion of forest cover was negatively correlated with the slow response reservoir recession coefficient, K<sub>f</sub> (R<sup>2</sup> = 0.57), whereas the proportion of wetland cover displayed a positive correlation with K<sub>s</sub> (R<sup>2</sup> = 0.54). These correlations underscore the substantive impact of land use patterns on streamflow generation dynamics within the boreal catchment context.</p>}},
  author       = {{Guo, Renkui and Mohammadi, Babak and Gao, Hongkai and Liu, Junzhi and Duan, Zheng}},
  issn         = {{1474-7065}},
  keywords     = {{Boreal catchment; Catchment characteristics; FLEX model; Krycklan; Model parameter; Streamflow}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Physics and Chemistry of the Earth}},
  title        = {{Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model}},
  url          = {{http://dx.doi.org/10.1016/j.pce.2024.103565}},
  doi          = {{10.1016/j.pce.2024.103565}},
  volume       = {{134}},
  year         = {{2024}},
}