Hydrological modelling of the karst Ljubljanica River catchment using lumped conceptual model

Sezen, Cenk; Bezak, Nejc; Šraj, Mojca

doi:10.15292/acta.hydro.2018.06

Cited by 17 publications

(13 citation statements)

References 22 publications

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“…), the mean annual rainfall sums exceed 2000 and 3000 mm, respectively, and due to the high elevation, snowfall and snowmelt are important processes. Moreover, a comparison of the GR6J and CemaNeigeGR6J models for the Ljubljanica River catchment revealed that not much difference in the models' performances could be detected [41]. Thus, one could argue that similar results would be obtained using the GR6J model version.…”

Section: Hydrological Modelmentioning

confidence: 91%

Investigation of Low- and High-Flow Characteristics of Karst Catchments under Climate Change

Sapač

Medved

Rusjan

et al. 2019

Water

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It is not clear how projected climate change will impact the hydrological functioning of complex catchments that have significant karst characteristics. Therefore, in this paper we focused on the investigation of the low- and high-flow characteristics of the karst Ljubljanica River catchment. One smaller (51 km2) and one larger (1135 km2) catchment were selected in order to investigate the projected climate change impact on the hydrological conditions. For the investigation of the hydrological situation in the future, we used a lumped conceptual hydrological model. The model was calibrated using past measured daily data. Using the calibrated model, we investigated the impact of five different climate models outputs for the moderately optimistic scenario (RCP4.5). We investigated the situation in next 30-years periods: 2011–2040, 2041–2070, and 2071–2100. Several low and high-flow indices were calculated and compared. The results indicate that a summer precipitation decrease (i.e., 2011–2070) could lead to lower low-flow values for the investigated areas, which could increase the vulnerability of karst areas. Thus, additional focus should be given to water resource management in karst areas. On the other hand, mean flow could increase in the future. The same also applies for the high-flows where flood frequency analysis results indicate that a climate adaptation factor could be used for the hydrotechnical engineering design. However, differences among investigated models are large and show large variability among investigated cases.

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Section: Hydrological Modelmentioning

confidence: 91%

Investigation of Low- and High-Flow Characteristics of Karst Catchments under Climate Change

Sapač

Medved

Rusjan

et al. 2019

Water

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“…In the scope of this study, we have decided to use the GR4J and GR6J models. These two models were selected because they have yielded good performance in previous applications to the catchments in Slovenia [10,11]. On the other hand, Slovenian Environment Agency, which is responsible for the flood forecasting uses the DHI NAM model [19].…”

Section: Hydrological Modelsmentioning

confidence: 99%

“…Nash-Sutcliffe efficiency (NSE), Kling-Gupta efficiency (KGE), and root mean square error (RMSE) criteria were applied in order to evaluate model performance [24,25]. The GR4J and GR6J models were already applied to some of the catchments located in Slovenia (see [10,11,26]).…”

Section: Hydrological Modelsmentioning

confidence: 99%

“…The results of the study indicated that the complexity added by an additional free parameter is warranted by the model's results; however, the level of performance in low-flow conditions seems to remain quite low. In another study [10] they tested different versions of the GR lumped conceptual models, a 4-parameter Journalier (GR4J), Genie Rural, a 6-parameter Journalier (GR6J), and the CemaNeige GR6J with additional snow module for rainfall-runoff modeling in case of non-homogeneous Ljubljanica River karst catchment. The results showed that GR6J model slightly improved the performance of the GR4J model, but only in the validation mode.…”

Section: Introductionmentioning

confidence: 99%

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Rainfall-Runoff Modeling of the Nested Non-Homogeneous Sava River Sub-Catchments in Slovenia

Lavtar

Bezak

Šraj

2019

Water

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Rainfall-runoff modeling is nowadays applied for water resources management, water system design, real-time forecasting, flood design and can be carried out by using different types of hydrological models. In this study, we focused on lumped conceptual hydrological models and their performance in diverse sub-catchments of the Sava River in Slovenia, related to their size and non-homogeneity. We evaluated the difference between modeled and measured discharges of selected discharge gauging stations, using different model performance criteria that are usually applied in hydrology, connecting the results to geospatial analysis of geological and hydrogeological characteristics, land use, runoff potential, proportion of agglomeration and various meteorological variables. Better model performance was obtained for catchments with a higher runoff potential and with less variations in meteorological variables. Regarding the number of used parameters, the results indicated that the tested Genie Rural 6-parameter Journalier (GR6J) model with 6 parameters performed better than the Genie Rural 4-parameter Journalier (GR4J) model with 4 parameters, especially in the case of larger sub-catchments. These results illustrate the comprehensive nature of lumped models. Thus, they yield good performance in case of the catchments with indistinguishable characteristics.

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“…In this study we applied the lumped conceptual hydrological model named Génie Rural à 6 paramètres Journalier (GR6J) with snow module CemaNeige (e.g., [14][15][16][17][18]). The CemaNeige GR6J model version is implemented in airGR package [19,20] of R software [21], which was applied in this study.…”

Section: Hydrological Modelmentioning

confidence: 99%

Investigation of Rain-On-Snow Floods under Climate Change

et al. 2020

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Rain-on-snow (ROS) floods can cause economic damage and endanger human lives due to the compound effect of rainfall and snowmelt, especially under climate change. In this study, possible future changes of seasonality, magnitude and frequency characteristics of ROS floods were investigated for the selected catchments in Slovenia, Europe. For this purpose, five global/regional climate models (GCM/RCM) combinations were applied using the RCP4.5 climate scenario for the period 1981–2100. To determine ROS floods’ characteristics in the future, a lumped conceptual hydrological model Génie Rural à 6 paramètres Journalier (GR6J) with snow module CemaNeige was applied. The results indicate that the number of ROS floods could increase in the future. Moreover, also the magnitudes of extreme ROS floods could increase, while a slight decrease in the median values of ROS flood magnitudes was observed. The strength of seasonality for a high-altitude catchment could decrease in the future. A slight shift in the average ROS floods’ timing could be expected. Furthermore, a catchment located in a temperate continental climate could have a different response to the climate change impact in comparison to a catchment located in a mountain climate with alpine characteristics. Additionally, differences among investigated climate models show a large variability.

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Hydrological modelling of the karst Ljubljanica River catchment using lumped conceptual model

Cited by 17 publications

References 22 publications

Investigation of Low- and High-Flow Characteristics of Karst Catchments under Climate Change

Investigation of Low- and High-Flow Characteristics of Karst Catchments under Climate Change

Rainfall-Runoff Modeling of the Nested Non-Homogeneous Sava River Sub-Catchments in Slovenia

Investigation of Rain-On-Snow Floods under Climate Change

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