UNECE Convention on the Protection and Use of Transboundary Watercourses and International Lake, Second Workshop on Transboundary Flood Risk Management 19 - 20 March 2015, Geneva, Switzerland

- Needs in harmonization of monitoring network and of hydrological data processing for flood risk prevention Igor LISKA, ICPDR, Dr. Mary-Jeanne Adler, INHGA, Bucharest PRESENTATION CHAPTERS:

• GENERATION OF AN INTEGRATED GEODATABASE • MONITORING OF DISCHARGES • MONITORING OF SUSPENDED SEDIMENTS • MONITORING OF LOADS • GEOMORPHOLOGICAL PORCESS SURVEY • WATER QUALITY Ceatalchioi – 07.July.2010 A transnational river requires transnational cooperation …

Motivation for FLOODRISK Project • All Danube countries worked on improvements with different – Mapping methods – Elevation systems – Criteria for risk assessment • Separated approaches in the countries: inefficient and not sustainable International co-operation in the water sector

• Bilateral co-operation – Transboundary (neighbouring countries) – With other countries • Multilateral co-operation – International Conventions » e.g. Helsinki, Danube Conventions • European (Union) level co-operation – Common working platform (27 Member States) – Common basic legislation • Global level water co-operation – WMO Water Framework Directive

„Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy” EU Water Framework Directive

Priority Urban Waste Drinking Water Directive Substances Water Directive

Nature Conservation Nitrate Directive Bathing Water (NATURA 2000) Directive Flood Directive

Ground Water Directive Connection to updated Environment policy Most of the EUSDR Water Quality (PA 4) Actions give answer to Water Blueprint (HOW?) Main findings of the Water Blueprint – The biggest pressures for ecological status are • HYMO alterations – hydrologic and morphological measurements ( handled by Action 10) • Water over abstraction – intensive monitoring (Action 11) • Lack of ecological water flows – law flows monitoring (Action 11) – Cause of poor chemical status of waters is • Shortage of data (Action 2 and 3) • Few progress to mitigate eutrophication of waters (Action 4 and 5) • Not eligible outputs in implementation of directives (e.g. UWW T , Action 7) – Low effectiveness in water using • Improvement needs for irrigation (Action 11) • Measures need for leakage of distribution network (Action 13) – High vulnerability of European waters • Improvement needs for ecosystem resilience (Action 11) – Improvement needs for better water information system • WISE, INSPIRE, GMES, etc. (by Action 3) • Improving Science-Policy Interface (Action 6) – Cooperation at the Danube Basin level, but More stronger cooperation at sub-basin levels, as , , , in case of – by integrated monitoring (Action 2 and 14) – More communication for transparency (Action 12) Catchment area: 801.463 km2 Length: 2.857 km Mean discharge: 6.500 m3 s-1

Danube Problems: Borders are barriers for risk management

Different monitoring Different elevation Different Different systems levels and models hydraulic planning models systems

Different Elevation models and levels

Flood Risk Area ONE system without national borders

National Border

Output 1: Joint digital elevation model Output 2: Common geodatabase

Danube River LIDAR data Cross-sections DTM Topographic maps Roughness coefficient Satellite images (CLC 2006)

Q,H daily Modeling 1D2D values (Sobek) hydrometric stations Hazard maps Topographic Survey

Since accurate topographic data is only available for a small percentage of water bodies and HYDRulic infrastructures, this data has to be collected or verified by surveys of water body cross sections. Generally, all structures bordering or within the water body are surveyed. Cross sections are always taken from the same location and recorded regularly in fixed intervals or, depending on hydraulic requirements, in shorter intervals

For the purpose of creating the DTM, an aerial survey is conducted, The positional accuracy of DTM varies by +/- 50 cm, the accuracy in elevation by +/- 20 – 30 cm. Danube River Cross-sections - Bathymetric points (X ,Y ,Z Stereo70, MN75)

- Additional points from LIDAR data and topographic maps(X ,Y ,Z Stereo70, MN75) Danube River Cross- sections Cross-sections between dikes (distance between cross- sections 100 m)

Number of cross- sections : > 10 000 Roughness coefficient (CLC 2006)

CLC classes - 31x forest - 32x grassland Manning - 41x swamp coefficient - 5xx water - …. Digital Terrain Model LIDAR dataDTM

a

-

h h - OVERLAP

- 2  tan(a/2)  h -

Available data (fly 2007) Processing data (fly 2010) Satellite data DTM final

Dikes channels gaps

Cross sections Water level and discharge – integrate monitoring Q,H daily values hydrometric stations DATA SEMPLING - AUTOMATED INFORMATIONAL MONIYORING SYSTEM (AIMS)

• The measurements of meteorological indicators using 106 automated meteorological stations (83 in the Dnister basin and 23 in the basins of the Prut and Siret); • Rapid processing and transmission of primary data; • Modeling of hydrological processes in some areas and around the river basin (including forecasting of flooded areas and possible damage from flooding rain); • Develop operational plans for flood protection measures; • Informing of local authorities and the population about the hydrometeorological situation. Diagram of hydrometeorological stations AIMS of Dnister-Prut Basin Department of Water Resources

The system in the basin of the Prut and Siret includS: - automatic digital sensors installed at Prut, Cheremosh, Siret, Small Siret (Chortoryia, Lopushna, Verhni Petrivtsi, Dubivtsi, Kamyanka, Tatariv);

- server receiving data provided in Chernivtsi;

- website, that displays the data observation The system of the Dnister Basin consists of: - hydrological posts in Galych and the Zalishchyky; - website that displays data observation MODERNIZATION OF AIMS MONTORING SYSTEM

 Under the project it is foreseen automatization of 24 observation points in the basins of the rivers Prut and Siret, including : - 17 stations to measure water levels, - 5 hydrometric crossings, - 19 measuring device of rainfall that will be installed at the hydrostations as well as separately;

 Installing 3 control centers for the data collection, analysis and dissemission; Principles of the system work

The system provides automated collection, transmission and accumulation of information on the level and water temperature, air temperature and pressure. Periodicity of measurements normally carried at intervals of 30 min. and transferring 2 times a day. In case of an emergency frequency can be changed distantly, depending on the scale of the flood. There is also automatic sending of messages to a mobile phone, when water levels rise more than 0.5 meters ADCP to measure velocity distribution and estimate bottom shear

27 ADCP data used for 3D flow modelling

Dunai árhullám - 2013 DATA COLLECTION AND PROCESSING

LOCATION of hydrological post of AIMS "PRYKARPATTYA"

Dniester-Prut Basin Department of Water Resources DISPLAYING OF DATA MEASUREMENTS ON A WEBSITE, TO BE SHARE WITH THE DOWNSTREAM COUNTRIES Diagram of observational data

DP BDWR

Reliability data will be provided through the use of mobile (modem channel with two cards of different operators) and satellite communications. Displaying of measuring data INFORMATION SHARING DIAGRAM Hmel’nytskyi L’viv Ternopil’

Vinnytsya

Ivano-Frankivsk

Dnister-Prut BDWR

Odesa DESIGNING OF GIS PLATFORM FOR RIVER FORECASTING AND MANAGEMENT OF WATER RESOURCES

Introduction of GIS Prut and Siret basins with modeling the passing of emergencies. System’s structure : - digital heights model, - detailed vector maps, - maps of flooded areas, -thematic layers (hydrographic objects, towns, relief, hydrotechnical structures), -basis of geographic and attribute data), - forecasting model of potential risks

Producing a GIS portal to ensure a single point of access to geoinformational resources Satellite DIAGRAM OF THE Meteorological information forecasting model including data on snow cover AIMS

Forecasting of Terrestrial precipitations weather information Meteoradar Flood activities

Information for justification Models of the flow ,snowmelt of flood events and rainfall Hydro forecast ing Models of the dynamics of dissemination of flood waves in rivers and floodplains

Forecasting of levels and water Information for consumption crisis centers

Informing of Warning and neighboring informing people countries

Information for agencies and authorities INCREASING OF EFFICIENCY FOR DECISION MAKING GEOINFORMATIONAL PORTAL Geoinformational portal will provide association of flood protection systems of , Romania, , and access to information on water management situation online. ANALYTICAL DISPATCH CENTER AND REACTION FORCES

The structure of the analytical dispatchg center (ADC) of Dnister-Prut Basin Department of Water Resources includes 3 dispatch services of subordinated structures and 10 operational and regular services of maintenance stations. To work in emergency there are prepared 8 crews of emergency, in total 77 workers with their assigned mechanisms, motor vehicles, craft - total of 58 units II. SEDIMENT TRANSPORT MONITORING AND GEOMORPHOLOGICAL PROCESSES - MULTIRISK

FOLLOW-UP PROJECT AFTER DANUBE FLOODRISK – SEDAM PROJECT, coordinated by Hungary under ICPDR Existing Situation AT THE Danube Basin: Basin-wide driving forces and impacts

Hydropower plants GEOMORFOLO- GICAL Flood protection ALTERATION Navigation Climate change Changes in land use Point and diffuse source pollution Hydropower-based Energy

78 barriers along the Danube 5 free-flowing sections International Waterway

2411 km navigable (-Kelheim)

via donau, 2007 Flood protection, risk management

Loss of 80 % of the original floodplain area Flood risk mapping for planning purpose ONE system without national borders

Water levels  flood zones  multirisk  spatial planning Mapping

• The maps in the Danube Floodrisk Project are drawn up at a scale of 1:100.000 and can be zoomed up to a scale of 1:25.000 and 1:10.000 for certain river sectors. • MAPS PORTAL 3 levels of flood hazard – downsttream of Calarasi town example Evaluation of risk elements • Dimensions of risk / layers of relevance?

Human health, risk for life Cultural vulnerability heritage Economy and vulnerability public services vulnerability Environment vulnerability Subsequent hazard Disaster vulnerability Management vulnerability 4 levels of economical damage – Giurgiu town area Sample using risk element symbols

Aggregate the hydrological data with land cover data