Assessment of the adequacy of the regional relationships between catchment attributes and catchment response dynamics, calibrated by a multi‐objective approach

Kim, H. S.; Lee, Seunghun

doi:10.1002/hyp.9942

Cited by 11 publications

(7 citation statements)

References 61 publications

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“…No correlation was found between the υ s and all of the catchment characteristics investigated in Kim and Lee (2014). A strong correlation (correlation coefficient of 0.88) at the 1 % significance level on linear and logarithmic scales existed between the c and the τ w .…”

Section: Comparison Of Regional Models From the Traditional And The Rmentioning

confidence: 72%

“…Of these 20 physical catchment characteristics, the catchment area (AREA), the mean catchment slope (MCS), the effective soil depth (ESD shallow ) and the catchment gradient (CG) were found to be the primary drivers for representing the hydrological characteristics of the catchment response in Korea under the description of the IHACRES model parameters. A complete list and definition of these catchment attributes is contained in Kim and Lee (2014). Here, a discussion of the underlying reasons for the different relationships for parameter sets I and II will be given.…”

Section: Comparison Of Regional Models From the Traditional And The Rmentioning

confidence: 99%

“…The regionalisation technique using the multiple objective approach was applied to adequately simulate all aspects of the hydrograph at the ungauged catchment. Kim and Lee (2014) demonstrated the efficiency of the regionalisation approach based on a multiple objective calibration technique to rainfallrunoff modelling.…”

Section: Introductionmentioning

confidence: 99%

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Potential Improvement of the Parameter Identifiability in Ungauged Catchments

Kim

2016

Water Resour Manage

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The objective of this study was to reduce the parameter uncertainty which has an effect on the identification of the relationship between the catchment characteristics and the catchment response dynamics in ungauged catchments. Model deficiencies influencing on the identification of the regional relationships were identified through analysing the nonstationarity nature under different climate conditions. An advanced calibration approach was proposed to improve the identification of the regional relationships, according to the deficiencies on model structure suitability for the different flow regime. This study demonstrated the refined calibration strategy can improve the identification of the relationships between the catchment characteristics and the calibrated model parameters for the dry period. In the assessment of model structure suitability to represent the non-stationary catchment response characteristics, there was a flow-dependent bias in the runoff simulations. In particular, over-prediction of the streamflow was dominant for the dry period. The poor model performance during the dry period was associated with the largely different impulse response estimates for the entire period and the dry period. Based on assessment of model deficiencies, the rainfall-runoff models were separately calibrated to different parts of the flow regime, and the calibrated models for the separated time series were used to establish the regional models of relevant parts of the flow regime (i.e. wet and dry periods). The effectiveness of the parameter values for the refined approach in regionalisation was evaluated through investigating the accuracy of predictions of the regional models. The regional models from the refined calibration approach clearly enhanced the hydrological behaviour for the dry period by improving the identification of the relationships between the catchment attributes and the catchment response dynamics representing the time constants in fitting recession parts of hydrograph (i.e. improving the parameter identifiability representing the different behaviour of the catchment) in regionalisation.

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Section: Comparison Of Regional Models From the Traditional And The Rmentioning

confidence: 72%

Section: Comparison Of Regional Models From the Traditional And The Rmentioning

confidence: 99%

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Potential Improvement of the Parameter Identifiability in Ungauged Catchments

Kim

2016

Water Resour Manage

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“…Kim, Croke, Jakeman, and Chiew () proposed that an 8‐year calibration period is appropriate for obtaining a reasonable catchment response, yielding stable and reasonable high model performance and reducing variation in parameter values over time. They used this length in subsequent studies based on the IHACRES rainfall‐runoff model (e.g., Kim & Lee, ). Using IHACRES, the proportional volumes of quick (υq) and slow (υs) flows were calculated in each catchment to estimate the proportion of surface and subsurface flows (e.g., Croke et al, ), which allows an estimation of water interception caused by ground vegetation and soils on the basis that those watersheds with greater water interception will present slower flows.…”

Section: Methodsmentioning

confidence: 99%

The role of forest maturity in extreme hydrological events

et al. 2018

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This study aims to clarify the influence of forests, as well as other prevalent land cover types, on extreme hydrological events through a land cover gradient design. We selected 10 catchments within a gradient of forest land cover, in which there were 15 years of simultaneous daily hydrological and meteorological data, and an additional forest descriptor, forest maturity. The study was developed in a heterogeneous region in the Cantabrian Mountains (NW Spain). This area includes different vegetation types and has a long history of human disturbance and land use change that has produced a gradient in forest cover. This study focuses on regular hydrological extremes: regular floods and low flow events. Specific objectives were to observe the relationship between land cover and extreme hydrological events, once the variance explained by precipitation was removed, and compare the effectiveness of forest coverage and maturity to predict them. Partial correlations and ordinary least square regressions were developed using hydrological indices, obtained from flow records, and hydrological parameters calculated through modelling, using the Identification of unit Hydrographs And Component flows from Rainfall, Evaporation and Streamflow data (IHACRES) software and hydrometeorological data. Land cover characteristics were better able to predict floods than low flows. Forests were associated with less extreme flow events (lower intensity and frequency of floods and greater base flows), whereas shrub formations did the opposite. These results were more evident using forest maturity than using forest coverage. This study indicates that hydrological modelling may benefit in the future from considering not only the coverage of different land cover types but also the conservation status of the different vegetation formations.

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“…Regional methods may offer another approach for calibration of large model domains (e.g. Parajka et al, 2007;Kim and Lee, 2014).…”

Section: Parameterization and Calibrationmentioning

confidence: 99%

Modelling water, nutrients, and organic carbon in forested catchments: a HYPE application

Pers

Temnerud

Lindström

2016

Hydrological Processes

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Abstract:Both monitoring and model simulation are useful for understanding and detecting changes in the environment. To understand and simulate leaching in small forested catchments, it is important to have knowledge of soil processes. Here, we describe recent development of the Hydrological Predictions for the Environment (HYPE) model for forested catchments. HYPE includes an organic carbon (OC) variable in addition to previously published nitrogen (N), phosphorus (P), and water flow models. The aspects addressed in the current study included P concentrations under low-flow conditions and high concentrations of inorganic N. HYPE was further developed based on nine small forested catchments (0.5-200 ha) in Sweden, which were calibrated separately using local data. The model (excluding the OC variable) was tested on a larger set of forest catchments from the operational HYPE model of Sweden (S-HYPE). We observed the following: (1) dissolved organic P could make a significant contribution to the total P concentration in a stream during low-flow periods, (2) the inorganic N concentration simulated in a stream improved when part of the atmospheric N was retained in the soil, (3) the soil flow path formulation was critical for simulating concentration dynamics, and (4) evaluating an additional variable (OC) further elucidated the soil runoff processes in the model.

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Assessment of the adequacy of the regional relationships between catchment attributes and catchment response dynamics, calibrated by a multi‐objective approach

Cited by 11 publications

References 61 publications

Potential Improvement of the Parameter Identifiability in Ungauged Catchments

Potential Improvement of the Parameter Identifiability in Ungauged Catchments

The role of forest maturity in extreme hydrological events

Modelling water, nutrients, and organic carbon in forested catchments: a HYPE application

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