Danube River: Hydrological Features and Risk Assessment with a Focus on Navigation and Monitoring Frameworks
Abstract
1. Introduction
2. Characteristics of the Danube
3. Navigability and Economic Contribution
4. Hydrological Risks and Challenges on the Danube
4.1. Floods
4.2. Droughts
5. Institutions for Monitoring and Management of the Danube
6. Methods, Technologies, and Software Used in Hydrological Studies
6.1. Methods and Software Used in Hydrological Studies
6.2. Hydrometric Station Network and Technologies
7. Future Perspectives and Specific Recommendations
- The monitoring infrastructure should be improved by installing the latest generation of sensors in hydrometric stations to allow real-time data transmission.
- Create an integrated transboundary open-access cross-border data platform to facilitate research, analysis, and rapid decision-making.
- Promote applied research in artificial intelligence, remote sensing, and hydrological scenario simulation.
- Foster collaboration between countries through participatory governance mechanisms involving central authorities and local communities.
8. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
ADCP | Acoustic Doppler Current Profiler |
AI | Artificial Intelligence |
ArcGIS | Arc Geographic Information System |
DEF | Danube Environmental Forum |
DFRMP | Danube Flood Risk Management Plan |
DMCSEE | Drought Management Centre for Southeastern Europe |
DriDanube | Drought Risk in the Danube Region |
DSTF | Danube Sturgeon Task Force |
DUS | Danube Drought User Service |
EDO | European Drought Observatory |
EEA | European Environment Agency |
EU | Europe Union |
EUMETSAT | European Organisation for the Exploitation of Meteorological Satellites |
EUSDR | EU Strategy for the Danube Region |
GIS | Geographic Information System |
GPR | Ground-Penetrating Radar |
GPRS | General Packet Radio Service |
GPRSIM | Ground Penetrating Radar Simulation Software |
GRDC | Global Runoff Data Centre |
GSM | Global System for Mobile Communications |
HEC-HMS | Hydrologic Engineering Center—Hydrologic Modeling System |
HEC-RAS | Hydrologic Engineering Center—River Analysis System |
HYPE | Hydrological Predictions for the Environment |
ICPDR | International Commission for the Protection of the Danube River |
IoT sensor | Internet of Things sensor |
LiDAR | Light Detection and Ranging |
LSTM | Long Short-Term Memory |
MODIS | Moderate Resolution Imaging Spectroradiometer |
NGOs | Non-governmental organizations |
pH | Potential of hydrogen |
RNA | Romanian Naval Authority |
TRMM | Tropical Rainfall Measuring Mission |
SWAT | The Soil and Water Assessment Tool |
SWOT | Strengths, Weaknesses, Opportunities, and Threats |
UHF | Ultra High Frequency |
UN | United Nations |
UNESCO | United Nations Educational, Scientific and Cultural Organization |
VHF | Very High Frequency |
WMO | World Meteorological Organization |
4G | Fourth Generation of Mobile Network Technology |
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Geographical data | Countries crossed | Germany, Austria, Slovakia, Hungary, Croatia, Serbia, Romania, Bulgaria, Moldova, Ukraine |
Source | Germany, Black Forest Mountains | |
Discharge | Black Sea | |
Hydrological features | Length | About 2850 km |
Average flow | 6.500 m3/s [39] (measured at the discharge, in the Sulina area) | |
Major tributaries | Iller, Gunz, Mindel, Lech, Regen, Altmuhl, Isar, Inn, Enns, Morava, Leitha, Vah, Hron, Ipel, Sio, Drava, Vuka, Tisa, Sava, Timis, Velika Morava, Caras, Nera, Ponicova, Cerna, Jiu, Iskar, Olt, Vedea, Arges, Ialomita, Siret, Prut. | |
Economic relevance | Navigation |
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Agriculture |
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Tourism |
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Biodiversity |
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Hydro-energy |
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Tributary | Length | Countries Crossed | Discharge | Average Flow | Relevance |
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Inn | 517 km | Switzerland, Austria, Germany | Passau, Germany | 738 m3/s |
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Morava | 354 km | Czech Republic, Austria, Slovakia | Devin, Slovakia | 120 m3/s |
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Drava | 749 km | Hungary, Italy, Austria, Slovenia, Croatia | Osijek, Croatia | 670 m3/s |
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Sava | 990 km | Slovenia, Croatia, Bosnia and Herzegovina, Serbia | Belgrade, Serbia | 1564 m3/s |
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Tisa | 965 km | Ukraine, Romania, Slovakia, Hungary, Serbia | Titel, Serbia | 792 m3/s |
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Olt | 615 km | Romania | Turnu Magurele, Romania | 174 m3/s |
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Prut | 953 km | Ukraine, the Republic of Moldova, and Romania | Reni, Ukraine | 110 m3/s |
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Component | Major Geographical Areas | Drainage Area (km2) | Drainage Area Description |
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Upper Danube | Black Forest, Nordic Alps | ~77.000 | Mountainous areas, with steep relief, predominantly snow and rain-fed, and with a high hydropower potential. |
Middle Danube | The Pannonian Plain | ~306.000 | Lowland and upland relief, intensive agriculture, relatively stable flow, moderate flood risk. |
Lower Danube | Romanian Plain, Danube Plain | ~434.000 | Low-lying region with extensive alluvial meadows, high biodiversity, and a slow flow. |
Inn | Eastern Alps | ~26.000 | Alpine tributary, increased spring flow from snowmelt. |
Morava | Carpathian Mountains, Moravian Lowlands | ~49.800 | They form extensive, ecologically valuable wetlands. |
Drava | South-East Alps | ~41.200 | Mixed relief and important for hydropower and local biodiversity. |
Sava | The Dinaric Alps, Pannonian Plain | ~95.700 | A major tributary with rich flow flows through urbanized and natural areas sensitive to flooding. |
Tisa | Carpathian Mountains, Pannonian Plain | ~157.000 | The most extensive tributary includes upland and lowland areas, affected by agriculture and industry. |
Olt | Southern Carpathians, Getic Sub-Carpathians | ~24.000 | The mountain and the Subcarpathian region are used for hydropower and agriculture. |
Siret | Eastern Carpathian Mountains, Moldavian Plain | ~44.800 | Eastern tributary, seasonal flow, flood, and erosion-prone areas |
Prut | Moldovan Plateau | ~27.500 | Agricultural region, hydrographic frontier role. Variable flow, influenced by the eastern climate. |
Rule | Description | Sector |
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Maximum speed | The maximum speed of ships on the Danube is controlled to prevent bank erosion and protect ecosystems. |
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Safety measures | Ships must be equipped with rescue and accident prevention equipment. Each vessel must have safety equipment (life jackets, lifeboats) following the required standards. |
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Cargo control | Ships must ensure a balanced distribution of cargo to avoid instability and capsizing. Vessels must respect tonnage limits and ensure even cargo distribution to prevent accidents. |
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Navigation in low visibility | Reduce speed and use sound signals for vessel safety. In fog conditions, vessels must use audible signals (two short beeps for “ahead” and three beeps for “stop”). |
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Navigation in narrow areas | In narrow sections of the Danube, vessels must reduce speed and give priority according to local regulations. Vessels meeting each other must keep to the right and communicate by sound signals to avoid collisions. |
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Rules for passenger ships | Ships carrying passengers must have special authorization and additional safety rules. |
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Priority | Vessels following the main course of the Danube have priority over those navigating on the side branches or lateral areas. |
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Risk/Challenge | Drivers | Environmental Impacts | Economic Impact | Measures |
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Floods |
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Droughts |
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Ice freezing and ice formations |
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Pollution |
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Riverside erosion and landslides |
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Lack of effective international cooperation |
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Risks generated by climate change |
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Year | Cause | Affected Areas | Damages |
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2002 | Heavy rain and snow melt | Germany, Austria, the Czech Republic, Hungary, Romania, Slovakia | €3.6 billion |
2006 | Heavy rain and snow melt. | Germany, Austria, the Czech Republic, Slovakia, Hungary, Croatia, Serbia, Romania, Bulgaria, and Moldova | €600 million |
2010 | Heavy rainfall and fast run-off | Entire Danube basin | €2.0 billion |
2013 | Constant and intense rainfall | Germany, Austria, the Czech Republic, Slovakia, Hungary, Croatia, Serbia, Romania, Bulgaria | €2.4 billion |
2017 | Ice formation and blockages (Siberian cold air mass) | Slovakia, Hungary, Ukraine, Croatia, Serbia, Bulgaria, Romania | €3.5 million |
Year | Duration | Cause | Affected Areas | Major Impact |
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1947 | 2 years |
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| The Lower Danube Basin |
2003 | 6 months |
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| Germany Austria Romania |
2012 | 7 months |
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| Romania Serbia Bulgaria |
2017 | 4 months |
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| South-East Europe |
2018 | 6 months |
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| Serbia Hungary Romania |
2022 | 8 months |
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| Central and Eastern Europe |
Organization | Area of Activity | Role | Methods | Collaborations |
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ICPDR [90] (International Commission for the Protection of the Danube River) | protection and sustainable use of Danube water resources | pollution reduction, flood prevention, and biodiversity conservation | hydrological monitoring, river basin management plans | EU, UN, Danube basin states, environmental NGOs |
EUSDR [107] (Danube Region) | sustainable development, environmental protection, infrastructure, innovation, and cross-border cooperation | supporting the economic and social development of the Danube region through joint projects, environmental, transport, energy, education, and innovation policies. | Elaboration of integrated policies and strategies for developing, financing, and implementing projects through EU and national funds, as well as regular monitoring and reporting on the progress and impact of initiatives. | European Commission, international organizations, research institutions and universities, NGOs, and the private sector to develop sustainable solutions |
EDO [105] (European Drought Observatory) | Drought monitoring and analysis at the EU level | providing drought data and maps to support policy and management decisions | satellite observations, drought indicators, climate models, historical analysis | European Commission, National Meteorological Centers, national and regional authorities |
DUS [108] (Danube Drought User Service) | monitoring drought and its impact on the Danube basin | providing real-time data on drought and related risks to decision-makers | remote sensing, historical databases, impact and risk assessments | Universities, research institutes, and national governments |
GRDC [109] Global Runoff Data Centre | collecting and providing data on global water outflow | monitoring the hydrological regime of the Danube and comparison with other river basins | global hydrological databases, forecast models | World Meteorological Organization (WMO), national governments |
EEA [97] (European Environment Agency) | environmental protection and water quality data reporting | assessing water quality and the impact of climate change on the Danube | remote sensing, integrated water databases, assessment reports | European Commission, national environmental agencies |
ISRBC [110] (International Sava River Basin Commission) | international cooperation in the management of the Sava River basin (tributary of the Danube) | integrated water management, environmental protection, and sustainable navigation | GIS systems, hydrological models, and water quality monitoring | Sava Basin countries, ICPDR, EU |
DSTF [111] (Danube Sturgeon Task Force) | protection of the sturgeon species in the Danube | biodiversity conservation and recovery of sturgeon populations | ecological monitoring, restocking programs, fisheries regulations | European Commission, ICPDR, local NGOs |
Category | Tools/Models (Examples) | Application | Features | Limitations |
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Hydrological Monitoring | Hydrometric stations, IoT multi-parameter sensors |
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Remote Sensing | ArcGIS, TRMM, MODIS |
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Topographic Analysis | LiDAR 360, Global Mapper, LiDAR drones |
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Hydrological Simulation Models | SWAT, HEC-HMS, MIKE SHE, LISFLOOD, HYPE |
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Bathymetric Surveying | Bathymetric sonar, Delft3D |
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Sediment Analysis | GPR (Ground Penetrating Radar), GPRSIM, HyPack |
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Hydraulic Flow Simulation | HEC-RAS, MIKE 11 |
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AI and Machine Learning Models | LSTM networks |
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Country | No. of Stations | Representative Stations | Main Features | Types of Equipment Used | Network Particularities |
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Germany | ~10 | Donaueschingen, Kehl, Neuburg | level, flow rate, high accuracy | hydrometric radar, hydrostatic pressure sensors | mountain stations, difficult access |
Austria | ~20 | Linz, Vienna, Krems | navigation monitoring, flow control | Hydrometric radar, ADCP for currents, auxiliary weather station | monitoring dams and reservoirs |
Slovakia | ~8 | Bratislava, Devín | flow rate, level, and weather data | ultrasonic sensors, hydrostatic pressure | automatic stations in urban areas |
Hungary | ~15 | Budapest, Komárom, Mohács | urban monitoring, flood prevention | hydrometric radar, ADCP for currents, weather stations, automatic sampling systems | high station density, automatic stations |
Croatia | ~10 | Vukovar, Ilok | flow rate, level | ultrasonic sensors, hydrostatic pressure | stations at key river traffic points |
Serbia | ~20 | Belgrade, Smederevo, Prahovo | level, flow rate, | hydrometric radar, ADCP for currents, auxiliary weather stations | dense network for flood prevention |
Bulgaria | ~15 | Ruse, Silistra, Lom | flow rate, water quality, navigation | hydrometric radar, hydrostatic pressure | combined stations with water quality equipment |
Romania | ~25 | Baziaș, Drobeta-Turnu Severin, Brăila, Galați | level, flow rate, temperature | hydrometric radar, ADCP for currents, temperature sensors | permanent stations, real-time monitoring |
Ukraine | ~10 | Izmail, Reni, Vilkove | level, flow rate, and water quality monitoring | hydrometric radar, automatic sampling systems | automatic and manual stations |
Water Level Sensors | |||
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Radar Sensors (Non-Contact) | Ultrasonic Sensors | Hydrostatic Pressure Sensors | |
Placed above the water, they emit radio waves that measure the distance to the water’s surface. | Similar to radar sensors, but they use sound waves. | Measures the water column pressure. | |
They are commonly used in Austria, Germany, Romania, and Serbia due to their reliability and minimal maintenance. | They are used in Slovakia and Croatia for precise measurements, usually in protected sections. | They are placed in the water and provide continuous data. They are used extensively in Germany, Croatia, and Bulgaria. | |
Flow and current sensors | |||
ADCP (Acoustic Doppler Current Profiler) | Fixed or mobile flow measurement systems | ||
It uses the Doppler effect to measure the speed of vertical currents. | Installed in navigable sections for calibration or permanently installed. | ||
Very efficient in complex measurements and used in Austria, Hungary, Romania, and Serbia. | Present in all modern stations. | ||
Water quality systems | |||
Multiparametrics | Automated sampling systems | ||
Simultaneously measures pH, dissolved oxygen, conductivity, turbidity, and temperature. | Collect water samples at regular intervals for laboratory analysis. | ||
Use in Bulgaria, Romania, and Ukraine, especially in environmentally sensitive areas. | Common in Hungary and Ukraine. | ||
Auxiliary equipment | |||
Integrated weather stations | Data Logger | ||
Measures air temperature, precipitation, wind, and solar radiation. | Data storage systems in case of loss of communication. | ||
They are frequently integrated into hydrometric stations in Austria, Hungary, Serbia, and Romania. | Present in all modern stations. |
STRENGTHS | WEAKNESSES |
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OPPORTUNITIES | THREATS |
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Share and Cite
Popa, V.-I.; Rusu, E.; Chirosca, A.-M.; Arseni, M. Danube River: Hydrological Features and Risk Assessment with a Focus on Navigation and Monitoring Frameworks. Earth 2025, 6, 70. https://doi.org/10.3390/earth6030070
Popa V-I, Rusu E, Chirosca A-M, Arseni M. Danube River: Hydrological Features and Risk Assessment with a Focus on Navigation and Monitoring Frameworks. Earth. 2025; 6(3):70. https://doi.org/10.3390/earth6030070
Chicago/Turabian StylePopa, Victor-Ionut, Eugen Rusu, Ana-Maria Chirosca, and Maxim Arseni. 2025. "Danube River: Hydrological Features and Risk Assessment with a Focus on Navigation and Monitoring Frameworks" Earth 6, no. 3: 70. https://doi.org/10.3390/earth6030070
APA StylePopa, V.-I., Rusu, E., Chirosca, A.-M., & Arseni, M. (2025). Danube River: Hydrological Features and Risk Assessment with a Focus on Navigation and Monitoring Frameworks. Earth, 6(3), 70. https://doi.org/10.3390/earth6030070