scholarly journals Geomorphometry-based modelling of discharge series in ungauged basins – Robustness regarding DEM sources

2020 ◽  
Vol 383 ◽  
pp. 129-134 ◽  
Author(s):  
Stéphane Ecrepont ◽  
Christophe Cudennec
Keyword(s):  
Transfer Functions ◽  
Hydrological Modelling ◽  
Ungauged Basins ◽  
Stream Networks ◽  
Ungauged Basin ◽  
Headwater Basins

Abstract. The sensitivity of a geomorphology-based hydrological modelling is evaluated according to four DEMs from 5 to 50 m resolution in Brittany, France. A set of 8 basins (5–565.7 km2) is used in a pseudo-ungauged context to explore the potential of Prediction in Ungauged Basin (PUB). The results show that despite slight differences on the stream networks extracted from DEMs and associated transfer functions, a coarse-worldwide DEM such as SRTM (25 m) supported similar performances than the finer French DEM (5 m) based on three validation indices. Finer DEMs may be useful only on headwater basins to gain a marginal performance.

scholarly journals Explicit simulations of stream networks to guide hydrological modelling in ungauged basins

2010 ◽  
Vol 14 (8) ◽  
pp. 1435-1448 ◽  
Author(s):  
S. Stoll ◽  
M. Weiler
Keyword(s):  
Regional Climate ◽  
Model Development ◽  
Hydrological Modelling ◽  
Distributed Data ◽  
Ungauged Basins ◽  
Stream Networks ◽  
Stream Network ◽  
Network Modelling ◽  
Discharge Data ◽  
Parsimonious Model

Abstract. Rainfall-runoff modelling in ungauged basins is still one of the greatest challenges in hydrological research. The lack of discharge data necessitates the establishment of new innovative approaches to guide hydrological modelling in ungauged basins. Besides the transfer of calibrated parameters from similar gauged catchments, the application of distributed data as a hydrological response in addition to discharge seems to be promising. A new approach to guide hydrological modelling based on explicit simulation of the spatial stream network was tested in four different catchments in Germany. In a first step we used a simplified version of the process-based model Hill-Vi together with regional climate normals to simulate stream networks. The calculation of gravity driven lateral subsurface and groundwater flow is used to identify patterns of stream cells, which were compared to reference stream networks and their degree of spatial agreement was evaluated. Significant differences between good and poor simulations could be distinguished and the corresponding parameter sets relate well with the hydrogeological properties of the catchments. The optimized parameters were subsequently used to simulate daily discharge using an observed time series of precipitation and air temperature. The performance was evaluated against observed discharge and water balance. This approach shows some promising results but also some limitations. Although the model's parsimonious model structure could be further improved regarding discharge recession and evapotranspiration, the performance was similar to regionalisation methods. Stream network modelling, which has minimal data requirements, seems to be a reasonable alternative for model development and parameter evaluation in ungauged basins.

scholarly journals Explicit simulations of stream networks to guide hydrological modelling in ungauged basins

2010 ◽  
Vol 7 (1) ◽  
pp. 847-877 ◽  
Author(s):  
S. Stoll ◽  
M. Weiler
Keyword(s):  
Regional Climate ◽  
Model Development ◽  
Hydrological Modelling ◽  
Distributed Data ◽  
Ungauged Basins ◽  
Stream Networks ◽  
Stream Network ◽  
Network Modelling ◽  
Discharge Data ◽  
Parameter Evaluation

Abstract. Rainfall-runoff modelling in ungauged basins is still one of the greatest challenges in recent hydrological research. The lack of discharge data necessitates the establishment of new innovative approaches to guide hydrological modelling in ungauged basins. Besides the transfer of calibrated parameters from similar gauged catchments, the application of distributed data as a hydrological response in addition to discharge seems to be promising. A new approach for model and parameter evaluation based on explicit simulation of the spatial stream network was tested in four different catchments in Germany. In a first step, spatial explicit modelling of stream networks was performed using a simplified version of the process-based model Hill-Vi together with regional climate normals. The simulated networks were compared to mapped stream networks and their degree of spatial agreement was evaluated. Significant differences between good and poor simulations could be distinguished and the corresponding parameter sets relate well with the hydrogeological properties of the catchments. The optimized parameters were subsequently used to simulate daily discharge using an observed time series of precipitation and air temperature. The performance was evaluated against observed discharge and water balance. This approach shows some promising results but also some limitations. Although the model's parsimonious model structure should to be further improved regarding discharge recession and evapotranspiration, the performance was similar to the regionalisation methods. Stream network modelling, which has minimal data requirements, seems to be a reasonable alternative for model development and parameter evaluation in ungauged basins.

Spatial scale effects on model parameter estimation and predictive uncertainty in ungauged basins

2012 ◽  
Vol 44 (3) ◽  
pp. 441-453 ◽  
Author(s):  
Denis A. Hughes ◽  
Evison Kapangaziwiri ◽  
Jane Tanner
Keyword(s):  
Parameter Estimation ◽  
Spatial Scale ◽  
Scale Effects ◽  
Physical Property ◽  
Hydrological Modelling ◽  
Ungauged Basins ◽  
Estimation Equations ◽  
Property Data ◽  
Physical Property Data ◽  
Parameter Values

The most appropriate scale to use for hydrological modelling depends on the model structure, the purpose of the results and the resolution of available data used to quantify parameter values and provide the climatic forcing. There is little consensus amongst the community of model users on the appropriate model complexity and number of model parameters that are needed for satisfactory simulations. These issues are not independent of modelling scale, the methods used to quantify parameter values, nor the purpose of use of the simulations. This paper reports on an investigation of spatial scale effects on the application of an approach to quantify the parameter values (with uncertainty) of a rainfall-runoff model with a relatively large number of parameters. The quantification approach uses estimation equations based on physical property data and is applicable to gauged and ungauged basins. Within South Africa the physical property data are available at a finer spatial resolution than is typically used for hydrological modelling. The results suggest that reducing the model spatial scale offers some advantages. Potential disadvantages are related to the need for some subjective interpretation of the available physical property data, as well as inconsistencies in some of the parameter estimation equations.

A Canadian viewpoint on data, information and uncertainty in the context of prediction in ungauged basins

2012 ◽  
Vol 44 (3) ◽  
pp. 419-429 ◽  
Author(s):  
C. Spence ◽  
D. H. Burn ◽  
B. Davison ◽  
D. Hutchinson ◽  
T. B. M. J. Ouarda ◽  
...  
Keyword(s):  
Lessons Learned ◽  
Hydrological Process ◽  
Ungauged Basins ◽  
Deterministic Models ◽  
Ungauged Sites ◽  
Ungauged Basin ◽  
Statistical Hydrology ◽  
Tools And Techniques ◽  
Knowledge Uncertainty ◽  
Traditional Approaches

The quality (i.e. the degree of uncertainty that results from the interpretation and analysis) of information dictates its value for decision making. There has been much progress towards improving information on the water budgets of ungauged basins by improving knowledge, tools and techniques during the Prediction in Ungauged Basins (PUB) initiative. These improvements, at least in Canada, have come through efforts in both hydrological process and statistical hydrology research. This paper is a review of some recent Canadian PUB efforts to use data to generate information and reduce uncertainty about the hydrological regimes of ungauged basins. The focus is on the Canadian context and the problems it presents, but the lessons learned are applicable to other countries with similar challenges. With a large land mass that is relatively poorly gauged, novel approaches have had to be developed to extract the most information from the available data. It can be difficult in Canada to find gauged or research basins sufficiently similar to ungauged sites of interest that contain the data required to force either statistical or deterministic models. Many statistical studies have improved information or at least an understanding of the quality of that information, of ungauged basin streamflow regimes using innovative regression-based approaches and pooled frequency analysis. Hydrological process research has reduced knowledge uncertainty, particularly in regard to cold regions processes, and this situation has led to the development of new algorithms that are reducing predictive uncertainty. There remains much to do. Current progress has created an opportunity to better integrate statistical and deterministic models via data assimilation of regionalization model estimates and those from coupled atmospheric-hydrological models. Aspects of such a modelling system could also provide more robust uncertainty analyses than traditional approaches.

scholarly journals Evaluation of different calibration strategies for large scale continuous hydrological modelling

2012 ◽  
Vol 31 ◽  
pp. 67-74 ◽  
Author(s):  
M. Wallner ◽  
U. Haberlandt ◽  
J. Dietrich
Keyword(s):  
Transfer Functions ◽  
Climate Impact ◽  
Hydrological Modelling ◽  
Flood Frequency ◽  
Distributed Model ◽  
Time Step ◽  
Factor C ◽  
The Impact ◽  
Optimisation Algorithms ◽  
Spatial Evaluation

Abstract. For the analysis of climate impact on flood flows and flood frequency in macroscale river basins, hydrological models can be forced by several sets of hourly long-term climate time series. Considering the large number of model units, the small time step and the required recalibrations for different model forcing an efficient calibration strategy and optimisation algorithm are essential. This study investigates the impact of different calibration strategies and different optimisation algorithms on the performance and robustness of a semi-distributed model. The different calibration strategies were (a) Lumped, (b) 1-Factor, (c) Distributed and (d) Regionalisation. The latter uses catchment characteristics and estimates parameter values via transfer functions. These methods were applied in combination with three different optimisation algorithms: PEST, DDS, and SCE. In addition to the standard temporal evaluation of the calibration strategies, a spatial evaluation was applied. This was done by transferring the parameters from calibrated catchments to uncalibrated ones and validating the model performance of these uncalibrated catchments. The study was carried out for five sub-catchments of the Aller-Leine River Basin in Northern Germany. The best result for temporal evaluation was achieved by using the combination of the DDS optimisation with the Distributed strategy. The Regionalisation method obtained the weakest performance for temporal evaluation. However, for spatial evaluation the Regionalisation indicated more robust models, closely followed by the Lumped method. The 1-Factor and the Distributed strategy showed clear disadvantages regarding spatial parameter transferability. For the parameter estimation based on catchment descriptors as required for ungauged basins, the Regionalisation strategy seems to be a promising tool particularly in climate impact analysis and for hydrological modelling in general.

scholarly journals Reconstructing the 1874 Santa Tecla flash flood in the Ondara River (Ebro Basin, NE Spain)

2010 ◽  
Vol 26 ◽  
pp. 45-48 ◽  
Author(s):  
J. C. Balasch ◽  
J. Tuset ◽  
J. L. Ruiz-Bellet
Keyword(s):  
Soil Moisture ◽  
Iberian Peninsula ◽  
Flash Flood ◽  
Hydrological Modelling ◽  
Probability Analysis ◽  
Ungauged Basins ◽  
Ebro Basin ◽  
Flood Probability ◽  
Ne Iberian Peninsula ◽  
Ne Spain

Abstract. The Santa Tecla flash flood, a very heavy event occurred in Tàrrega (Catalonia, NE Iberian Peninsula) in 1874, was reconstructed with hydraulic and hydrological modelling tools. The hydrograph obtained in a first stage and the basin soil moisture information ultimately allowed the estimation of the range of the rainstorm magnitude which caused the flash flood. The reconstruction of historical floods has proved useful to improve the flood probability analysis, especially in ungauged basins.

scholarly journals Comparative Study of Flood Calculation Approaches, a Case Study of East Rapti River Basin, Nepal

2014 ◽  
Vol 15 ◽  
pp. 60-64 ◽  
Author(s):  
Krishna Prasad Rijal
Keyword(s):  
Hydraulic Structures ◽  
Data Sets ◽  
Ungauged Basins ◽  
Flood Prediction ◽  
Ungauged Basin ◽  
Flood Volume ◽  
High Flood ◽  
Radical Shift ◽  
Shed Light

Various approaches to high flood calculation have been used to inform the design of hydraulic structures and flood protection works in Nepal. To assess potential flood volumes, a variety of methods and calculations are employed and the highest figure is adopted as correct so as to err on the side of safety. This approach, while safe, can result in excessively uneconomic design. As well, this approach erodes the designer’s confidence in the process to determine the potential flood volume and perpetuates such sub-optimal approaches. Through the case study of East Rapti River, this paper tries to shed light on various ungauged basin approaches of flood prediction currently in practice. It also compares the relative performance of those approaches using statistical methods and observed data. From the study, Jha PCJ method (1996) yielded a comparable result with the gauged basin methods. A remarkably notable fact obtained is that all the ungauged basin methods except rational method underestimated the flood discharge as compared to that obtained from the frequency analysis based on measured data sets. Overall, our study concludes that flood forecasting on ungauged basins cannot be recommended because a number of assumptions and personal judgments influence each of the prediction methods. Therefore, a more radical shift to basin specific intensive research is desirableDOI: http://dx.doi.org/10.3126/hn.v15i0.11296HYDRO Nepal JournalJournal of Water, Energy and EnvironmentVolume: 15, 2014, JulyPage: 60-64

scholarly journals Reconstruction of the 1874 <i>Santa Tecla</i>'s rainstorm in Western Catalonia (NE Spain) from flood marks and historical accounts

2010 ◽  
Vol 10 (11) ◽  
pp. 2317-2325 ◽  
Author(s):  
J. C. Balasch ◽  
J. L. Ruiz-Bellet ◽  
J. Tuset ◽  
J. Martín de Oliva
Keyword(s):  
Soil Moisture ◽  
Flash Flood ◽  
Hydrological Modelling ◽  
Probability Analysis ◽  
Ungauged Basins ◽  
Flood Probability ◽  
Historical Accounts ◽  
Ne Spain

Abstract. The Santa Tecla flash flood, a very heavy event occurred in western Catalonia (NE Spain) in 1874, was reconstructed with hydraulic and hydrological modelling tools in three basins. The hydrograph obtained in a first step and the basin soil moisture information ultimately allowed the estimation of the range of the rainstorm magnitude which caused the flash flood. The reconstruction of historical floods has proved useful to improve the flood probability analysis, especially in ungauged basins.

scholarly journals Hydrological modelling for ungauged basins of arid and semi-arid regions: review

Vestnik MGSU ◽  
2019 ◽  
pp. 1023-1036
Author(s):  
Anghesom A. Ghebrehiwot ◽  
Dmitriy V. Kozlov
Keyword(s):  
Arid Regions ◽  
Hydrological Modelling ◽  
Hydrological Models ◽  
Ungauged Basins ◽  
Local Data ◽  
Recent Developments ◽  
Planning Development ◽  
Predictions In Ungauged Basins ◽  
Resources Planning ◽  
Semi Arid

Introduction: hydrological modelling is a powerful tool for water resources planning, development, design, operation, and management in a catchment. It becomes more important when it is applied to areas that suffer from inadequate hydrological field data. The existing methods which are appropriate for predictions in ungauged basins include extrapolation from gauged to ungauged basins, remote sensing-based measurements, process-based hydrological models, and application of combined meteorological–hydrological models without the need to specify precipitation inputs. Nonetheless, numerous works indicate that these methods have had limitations when it comes to predictions from ungauged basins. Materials and methods: the methods employed in this work include a detailed review of related materials on the historical development, significance, classification, selection, and recent developments of hydrological modelling in ungauged basins with an emphasis on arid and semi-arid regions. Results: the review indicates that the development of comprehensive and effective approaches that address the unique characteristics of arid and semi-arid regions in general and similar areas within developing countries, in particular, are yet to be developed. Conclusions: in the absence of reliable hydrometeorological data, the best approach to streamflow predictions from ungauged basins and the considered catchment would be intercomparison of two or more hydrological models. The models accommodate global, regional, and local data (if any).

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