Assessment of rainfall–runoff modelling uncertainty and its impact on water resource yield sensitivity in Scotland

Author(s):  
P. Rodgers ◽  
O. Bramwell ◽  
L. McMillan ◽  
A. Fonda
Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1876 ◽  
Author(s):  
García-Romero ◽  
Paredes-Arquiola ◽  
Solera ◽  
Belda ◽  
Andreu ◽  
...  

Calibration of conceptual rainfall–runoff models (CRRM) for water-resource assessment (WRA) is a complicated task that contributes to the reliability of results obtained from catchments. In recent decades, the application of automatic calibration techniques has been frequently used because of the increasing complexity of models and the considerable time savings gained at this phase. In this work, the traditional Rosenbrock (RNB) algorithm is combined with a random sampling method and the Latin hypercube (LH) to optimize a multi-start strategy and test the efficiency in the calibration of CRRMs. Three models (the French rural-engineering-with-four-daily-parameters (GR4J) model, the Swedish Hydrological Office Water-balance Department (HBV) model and the Sacramento Soil Moisture Accounting (SAC-SMA) model) are selected for WRA at nine headwaters in Spain in zones prone to long and severe droughts. To assess the results, the University of Arizona’s shuffled complex evolution (SCE-UA) algorithm was selected as a benchmark, because, until now, it has been one of the most robust techniques used to solve calibration problems with rainfall–runoff models. This comparison shows that the traditional algorithm can find optimal solutions at least as good as the SCE-UA algorithm. In fact, with the calibration of the SAC-SMA model, the results are significantly different: The RNB algorithm found better solutions than the SCE-UA for all basins. Finally, the combination created between the LH and RNB methods is detailed thoroughly, and a sensitivity analysis of its parameters is used to define the set of optimal values for its efficient performance.


Water ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 2894
Author(s):  
Milan Cisty ◽  
Barbora Povazanova ◽  
Milica Aleksic

The present study deals with the similarity of catchments, which is a preliminary investigation before performing various water resource analyses and computations regarding other catchments, e.g., catchments’ similarity may be utilized in the context of analogous calculations of river flows in catchments without measured flows. In this paper, the penalization method of evaluating similarity is proposed; this method is appropriate for tasks in which fewer catchments are analyzed for engineering purposes. In addition to the various physical characteristics of the catchment, the “catchment’s calibrability” property is also formulated and evaluated. A methodology that used specific flows from catchments in a case study from Slovakia successfully verified the proposed penalization method. This verification confirmed that physical similarity, as evaluated using the proposed penalization methodology, also helps to identify hydrological similarity, i.e., finding the most similar catchment to a given catchment in terms of the rainfall-runoff process. Such a finding can be helpful, e.g., in the computation of the mentioned flows in ungauged catchments. Determining unmeasured flows can help to solve many engineering tasks, such as various technical calculations during the design of small reservoirs, defining the potential of a given stream for supplying irrigation, flood protection, etc.


2020 ◽  
Vol 11 (3) ◽  
Author(s):  
Paulina Rosana Lima Guamán ◽  
Jorge Luis Santamaría Carrera ◽  
Margarita Flor

Rainfall in the upstream drainage area of the Ecuadorian Andean Mountains (EAM) is an important source of water supply in populated areas. Managing water resource projects depend on rainfall-runoff variation. Even though, it is difficult to understand the mechanism that controls rainfall variation because of the influence of several global and local hydrological processes, this type of research is needed to improve the management of water resources. Understanding these processes is complex due to inaccessibility to these remote zones leading to inefficacy in the monitoring of these gauge stations. Furthermore, there are reports that exposed that climatic anomalies are affecting rainfall-runoff processes around the world. These climate changes cause two main problems in urban infrastructure. First, the occurrence of extreme precipitation events increasing the risk of flooding. Second, changes on annual rainfall variation that could lead to water scarcity in the management of water resource projects. This study focuses on improving the understanding of rainfall trends at EAM and its implications in the management of water resources. The results indicate that 71% of extreme precipitation events were registered in the second period of the last twenty years (1995 – 2015) with severe short rainfall events, during ENSO years in the EAM, threatening hydraulic facilities.


2004 ◽  
Vol 171 (4S) ◽  
pp. 99-99
Author(s):  
Vincenzo Serretta ◽  
Vincenzo Altieri ◽  
Giuseppe Morgia ◽  
Rosalinda Allegro ◽  
Alessandra Di Lallo ◽  
...  

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