scholarly journals Long-Term Runoff Variability Analysis of Rivers in the Danube Basin

2021 ◽  
Vol 24 (s1) ◽  
pp. 37-44
Author(s):  
Pavla Pekárová ◽  
Jakub Mészáros ◽  
Pavol Miklánek ◽  
Ján Pekár ◽  
Stevan Prohaska ◽  
...  
Keyword(s):  
Time Series ◽  
River Basin ◽  
Danube River ◽  
Data Series ◽  
Discharge Time ◽  
The Danube River ◽  
Runoff Variability ◽  
Annual Discharge ◽  
Danube River Basin

Abstract The long-term runoff variability is identified to consist of the selected large rivers with long-term data series in the Danube River Basin. The rivers were selected in different regions of the Danube River Basin and have a large basin area (Danube: Bratislava gauge with 131,338 km2; Tisza: Senta with 141,715 km2; and Sava: Sremska Mitrovica with 87,966 km2). We worked with the station Danube: Reni in the delta as well. A spectral analysis was used to identify the long-term variability of three different types of time series: (1) Average annual discharge time series, (2) Minimum annual discharge time series and (3) Maximum annual discharge time series. The results of the study can be used in a long-term forecast of the runoff regime in the future.

scholarly journals Annual and seasonal discharge prediction in the middle Danube River basin based on a modified TIPS (Tendency, Intermittency, Periodicity, Stochasticity) methodology

2017 ◽  
Vol 65 (2) ◽  
pp. 165-174 ◽  
Author(s):  
Milan Stojković ◽  
Jasna Plavšić ◽  
Stevan Prohaska
Keyword(s):  
Time Series ◽  
River Basin ◽  
Model Performance ◽  
River Basins ◽  
Danube River ◽  
Hydrological Conditions ◽  
Short Time ◽  
Seasonal Discharge ◽  
Danube River Basin

AbstractThe short-term predictions of annual and seasonal discharge derived by a modified TIPS (Tendency, Intermittency, Periodicity and Stochasticity) methodology are presented in this paper. The TIPS method (Yevjevich, 1984) is modified in such a way that annual time scale is used instead of daily. The reason of extracting a seasonal component from discharge time series represents an attempt to identify the long-term stochastic behaviour. The methodology is applied for modelling annual discharges at six gauging stations in the middle Danube River basin using the observed data in the common period from 1931 to 2012. The model performance measures suggest that the modelled time series are matched reasonably well. The model is then used for the short-time predictions for three annual step ahead (2013–2015). The annual discharge predictions of larger river basins for moderate hydrological conditions show reasonable matching with records expressed as the relative error from −8% to +3%. Irrespective of this, wet and dry periods for the aforementioned river basins show significant departures from annual observations. Also, the smaller river basins display greater deviations up to 26% of the observed annual discharges, whereas the accuracy of annual predictions do not strictly depend on the prevailing hydrological conditions.

The environmental programme for the Danube River Basin

1994 ◽  
Vol 30 (5) ◽  
pp. 135-145 ◽  
Author(s):  
D. W. Rodda
Keyword(s):  
Environmental Management ◽  
River Basin ◽  
Technical Assistance ◽  
Agricultural Practices ◽  
Danube River ◽  
The Black Sea ◽  
Diverse Range ◽  
Regional Approach ◽  
The Danube River ◽  
Danube River Basin

The Programme has the objective of providing a regional approach to environmental management in the Danube River Basin where there is great pressure from a diverse range of human activities. Serious pollution problems exist from urban populations, from industry, and from intensive agricultural practices. Although the water quality of the main Danube river is probably better than the Rhine because of its greater flow, the same is not the case in the tributaries where there the problems are more serious. A factor which makes a compelling case for a regional approach is the deterioration of the Black Sea into which the main Danube river discharges significant loads of nutrients and a range of non-degradable contaminants. The application of limited financial resources will require fine judgement about the high priority pollution sources that will lead to cost-effective improvements. This action, and other technical assistance, also requires a considerable effort to strengthen the organisations having responsibility for environmental management, and to develop effective public participation. The paper emphasises the water pollution problems in the river basin.

Examples of Floodplain Restoration Evaluation Studies in the Danube River Basin

2021 ◽  
Author(s):  
Francesca Perosa ◽  
Marion Gelhaus ◽  
Veronika Zwirglmaier ◽  
Leonardo F. Arias-Rodriguez ◽  
Aude Zingraff-Hamed ◽  
...  
Keyword(s):  
River Basin ◽  
Evaluation Studies ◽  
Danube River ◽  
Floodplain Restoration ◽  
The Danube River ◽  
Danube Catchment ◽  
General Benefit ◽  
Work Done ◽  
Restoration Measures ◽  
Danube River Basin

<p>Countries located in the Danube River Basin (DRB) are in danger of being affected by major catastrophic floods along the Danube and its tributaries. Floodplain restoration measures are among win-win nature-based solutions (NBS) for flood risk reduction but practitioners see their limitations in comparison to technical measures, when looking at their effectiveness and profitability. Within the framework of the EU Interreg Danube Floodplain project, this presentation shows the benefits of floodplain restoration in terms of monetized ecosystem services (ES). Our work focused on multiple ES groups for four study areas in the Danube catchment, located in Czech Republic, Romania, Serbia, and Slovenia. This was done with the help of stakeholder engagement, hydrodynamic models results, and the Toolkit for Ecosystem Service Site-Based Assessment (TESSA). Moreover, the approach was complemented with alternative methodologies (e.g. surveys on social media). Results show positive annual combined benefits of floodplain restoration measures, suggesting the helpfulness of evaluating these NBS through ES assessment. The work done will help increasing the knowledge on floodplain and their ES, and on how to rapidly evaluate them. Moreover, it will bring decision-makers further evidence in favor of floodplain restoration measures to be implemented for a general benefit of the communities.</p>

scholarly journals Is the Water Temperature of the Danube River at Bratislava, Slovakia, Rising?

2008 ◽  
Vol 9 (5) ◽  
pp. 1115-1122 ◽  
Author(s):  
Pavla Pekarova ◽  
Dana Halmova ◽  
Pavol Miklanek ◽  
Milan Onderka ◽  
Jan Pekar ◽  
...  
Keyword(s):  
Time Series ◽  
Water Temperature ◽  
Heat Load ◽  
Empirical Relationship ◽  
Danube River ◽  
Average Heat ◽  
The Danube River ◽  
Average Temperature ◽  
Monthly Discharge

Abstract This paper aims to reveal the annual regime, time series, and long-term water temperature trends of the Danube River at Bratislava, Slovakia, between the years 1926 and 2005. First, the main factors affecting the river’s water temperature were identified. Using multiple regression techniques, an empirical relationship is derived between monthly water temperatures and monthly atmospheric temperatures at Vienna (Hohe Warte), Austria, monthly discharge of the Danube, and some other factors as well. In the second part of the study, the long-term trends in the annual time series of water temperature were identified. The following series were evaluated: 1) The average annual water temperature (To) (determined as an arithmetic average of daily temperatures in the Danube at Bratislava), 2) the weighted annual average temperature values (Toυ) (determined from the daily temperatures weighted by the daily discharge rates at Bratislava), and 3) the average heat load (Zt) at the Bratislava station. In the long run, the To series is rising; however, the trend of the weighted long-term average temperature values, Toυ, is near zero. This result indicates that the average heat load of the Danube water did not change during the selected period of 80 yr. What did change is the interannual distribution of the average monthly discharge. Over the past 25 yr, an elevated runoff of “cold” water (increase of the December–April runoff) and a lower runoff of “warm” water (decrease of the river runoff during the summer months of June–August) were observed.

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