The two main sources of information we have used to assess data availability in European river basins are:
Several other EU funded research projects have collected river basin data that could potentially also be used to analyse data availability. This is for instance the case for several of the other CatchMod projects such as Euroharp (www.euroharp.org). One problem that makes use of information from these projects difficult is that they only collected data according to the needs of the research project, and this is only some of the available data. This implies that the water managers in practise have more data at their disposal than the data collected in the respective research projects. This would provide a biased view of data availability. We have therefore focused on the HarmoniRiB data that are more complete in this respect and made an additional effort to check that the information shown in the present report provides a correct picture of the full amount of data available to the water managers in these eight basins.
As mentioned earlier in this report WISE the Water Information System for Europe is under development by EC etc. to substitute a number of databases on environmental data on a European scale. This web site will, once filled with data, allow users to browse all information and data collected during Water Framework Directive implementation in Europe. A cartographic (map view) interface enables users to zoom into any specific area in Europe to get information on the status of specific water bodies. Here it will also be possible to find additional information, such as reports from Pilot River Basins and guidance documents covering large parts of water management. The aim is to develop a water information system with publicly accessible information relevant for water management on a European scale. We have not analysed the WISE data as an indicator of the data availability, because the data availability in the river basins are in all cases significantly larger than what is reported to the WISE database, either in terms of the amount of stations and/or the temporal resolution of the data, as WISE focuses on data collected to document compliance with the WFD.
EC member states have recently reported on the status of the water bodies the so-called Article 5 reports (see link above). These reports are rather heterogeneous with respect to style and length. A quick survey of some of the country reports available in English (Cyprus, Bulgaria, Denmark, Estonia, Greece, Ireland, Latvia, Malta and Romania) show that most of the reports emphasise the following with respect to data availability:
Most Article 5 reports do not directly address the current data availability and accessibility in their reports and most do not address the need for modelling nor the question to which extent the existing data are sufficient for modelling purposes. However, some reports mention modelling projects already carried out, which has helped in the characterisation etc. of water bodies and a few mentions modelling as a possible tool to overcome some of the future challenges and gaps in data etc.
It appears from these reports that the national authorities responsible for WFD implementation in many cases feel that the existing data are not sufficient for all the WFD requirements, and that they therefore foresee the need to improve the data collection during the coming years. The language in these reports is, however, not very rigorous, and they do not explicitly address the need of data for modelling. The conclusion we can draw should therefore be taken with some reservations.
At this early stage of the WFD implementation it is quite understandable that member states are cautious regarding data adequacy. Partly, because it is impossible at this first WFD iteration to know what the optimal data amount is to design the programme of measures that will be decided in a participatory decision process and to efficiently monitor the effects its implementation. And partly, because data adequacy is not something static. External pressures are dynamic, and often increasing, and therefore the data needs will also often increase correspondingly.
Within the EU funded HarmoniRiB project WFD relevant data from a network of eight river basins throughout Europe have been collected and analysed (Refsgaard et al., 2005b, 2006). These basins have been selected to ensure a good coverage across Europe in terms of eco-regions, types of water problems, socio-economic conflicts and amount and quality of existing data. In addition, two of the river basins (Odense and Jucar) are also included in the Pilot River Basin Network, where the EC guidance documents have been tested. The location and characteristics of the eight basins are shown in Figure 4 and Table 2. Brief descriptions of each of the basins and their respective water resources problems together with a brief description of the data availability and accessibility are provided in the Appendix. It should be noted that the basins are not research basins, and that the types of problems vary significantly from predominantly agriculturally related water quality in northern Europe to water shortage in southern Europe and to some basins experiencing severe floods.
The data availability may be characterised as representative for its region and type of water management problems with some minor reservations. First of all, these basins were selected for the research project amongst others because the basin organisations were considered to be relatively resourceful as compared to similar organisations in their respective countries/regions. Secondly one should be somewhat cautious to claim representativeness from such a small sample.

Figure 4 Location of the HarmoniRiB network of representative river basins
Table 2 Key characteristics of the HarmoniRiB network of representative river basins
| Country River Basin |
Area (km2) | Main water uses | Main conflicting interest |
| DK, Odense | 1,046 | Public water supply, recreation, nature | Agricultural contamination; groundwater abstraction depletes stream flow and wetlands |
| GR, Geropotamou | 600 | Irrigation, tourist | Water shortage, water quality, oversized dam, salt intrusion, difficulties in sharing water among municipalities |
| ES, Jucar | 42,989 | Irrigation, hydroelectric, tourist supply, industry | Water shortage, farming use; hydroelectrical use; tourist water demand |
| IT, Candelaro | 2,330 | Irrigation, industry | Water shortage; rainfall rates decrease; intensive horticultural farming. |
| NL+DE Vecht | 3,780 (1980 in NL) | Agriculture, drinking water, receiving water, recreation | Agriculture, water quality, ecology, flooding room for water retention |
| DE, Weisse Elster | 5,200 | Drinking water, industry | Point and non-point sources; wastewater and contaminated sites; strong economic and social changes. |
| UK, Thames | 12,920 | Public water supply, Ecosystem, recreation | Water supply vs. ecology |
| CZ, Svratka | 4,115 | Drinking water, electrical power, recreation, nature | Flood protection, minimum discharges, water quality |
It is not feasible and it is outside the scope of this synthesis report to list all the data that are available for the selected river basins. Instead some variables/data types have been selected. They serve as indicators of data availability and may not be fully representative in all cases.
A summary of the data availability is given in Table 3. It appears from Table 3 that there are large differences in the amount of data in the various basins. It is also clear that the data collection has been tailored to the water resources problems in the basins. For instance the river basins with the largest drought/water shortage problems (Geropotamou-GR, Candelaro-IT and Jucar-ES) are in the top of data coverage with respect to meteorological data. On the other hand, the amount of surface water quality data is much higher in countries like Germany, Netherlands and Denmark where eutrophication is a key WFD problem compared to the Mediterranean basins in Greece, Southern Italy and Spain, where non-sustainable groundwater abstractions is the key problem. Similarly, much more data on groundwater quality exist in the Danish river basin, where groundwater quality is the key problem related to drinking water problem, than in other countries where this is not so major an issue.
Examples of the models that have been supported by the available data are given in Table 4. By comparing these tables with Table 3 it appears that modelling has been carried out in domains with perceived water resources problems. Altogether this gives, not surprisingly, a clear correlation between (a) water resources problem domains; (b) data availability; and (c) previous modelling studies.
By combining the information on data availability for indicator variables (Table 3) with the information on previous modelling activities in the respective river basins (Table 4) we have prepared Table 5 showing an indication of the suitability of the existing data for various levels of model complexity and model applicability. There is an element of subjective assessments in this. However, as the data availability and the past modelling studies as previously noted are closely correlated, we believe that the picture depicted by Table 5 is a reasonable reflection of the real differences between the river basins.
The analyses of the Article 5 reports and the HarmoniRiB basins lead to two conclusions with some apparent differences. On the one hand, it appeared from the Article 5 reports that data availability in many cases may not be sufficient for the entire WFD implementation. On the other hand, we concluded that the data availability in the HarmoniRiB basins was sufficient for some level of modelling.
An interesting question is then if this level of model complexity/applicability indicated in Table 5 is sufficient for WFD implementation. This cannot be answered directly. On one hand it appears from comparison of Table 5 and river basin descriptions in the Appendix that there is a high degree of correlation between the domains of water resources problems and the number of stars in Table 5 suggesting that the data availability may be sufficient for the first iteration of the WFD implementation. However, on the other hand it is not possible at this early stage of the WFD process to tell exactly what the requirements to accuracy of model predictions are. This will depend on the economic assessments of the programme of measures and, not least, on the stakeholder views as they appear through the public participation process.
The message from the Article 5 reports, namely that the data in many cases may not be sufficient for all aspects of the coming WFD implementation, therefore suggests that the level of modelling required to support the WFD implementation will be somewhat higher than what can be performed with the present data availability. The important point here is that the requirements to data from a socio-economic (water management) point of view is consistent with the data requirement to modelling, simply because it is the socio-economic requirements that determine what kind of modelling should be performed.
Table 3 Data availability for selected data types in the eight HarmoniRiB river basins
| Domain - data type | Odense 1,046 km2 |
Geropotamou 600 km2 |
Jucar 42,989 km2 |
Candelaro 2,330 km2 |
Vecht (Dutch part) 1,980km2 |
Weisse Elster 5,200 km2 |
Thames 12,920 km2 |
Svratka 4,115 km2 | ||||||||
| Stations | km2/ station |
Stations | km2/ station |
Stations | km2/ station |
Stations | km2/ station |
Stations | km2/ station |
Stations | km2/ station |
Stations | km2/ station |
Stations | km2/ station |
|
Water resources assessment
|
7 10 60 | 149 105 17 | 11 3 18 | 55 200 33 | 634 138 1837 | 67 312 23 | 27 9 37 | 86 259 63 | 12 6 1200 | 165 330 1.7 | 61 18 130 | 85 289 40 | 199 160 35 | 65 81 369 | 15 17 12 | 274 242 343 |
Surface water quality, ecosystems
|
4 2 29 |
262 523 36 |
0 0 0 |
∞ 0 ∞ |
13 232 251 |
3307 185 171 |
0 6 0 |
∞ 388 ∞ |
8 1170 1699 |
473 1.7 1.2 |
2 50 20 |
2600 104 260 |
10 2500 43 |
1292 5 300 |
0 15 12 |
∞ 274 343 |
Agriculture, non-point sources
|
3619 Farm level |
Note #1 |
Note #1 |
Note #1 |
1:2.5 105 Various |
1:106 1:200000 County level |
Note #1 |
Note #1 |
||||||||
Groundwater quality
|
1725 300 300 |
0.4 3.5 3.5 |
14 0 0 |
43 ∞ ∞ |
544 Note #1 Note #1 |
79 |
37 0 0 |
63 ∞ ∞ |
480 480 480 |
4 4 4 |
30 0 0 |
173 ∞ ∞ |
500 Note #1 Note #1 |
26 | 5 0 0 |
823 ∞ ∞ |
Table 4 Examples of models supported by data from the eight HarmoniRiB river basins
| Domain | Model complexity | Odense, DK | Geropotamou, GR | Jucar, ES | Candelaro, IT | Vecht (Dutch part), NL | Weisse Elster; GE | Thames; UK | Svratka; CZ |
| Water resources assessment | Simple Screening: | GIS tools | GIS tools | GIS tools | GIS tools | GIS tools | GIS tools | ||
| Intermediate Planning | Groundwater availability. Regional models. MIKE SHE | Water availability. Sacramento, MODFLOW | Rainfall-runoff modelling | Water availability assessment. Owner made model. | Modflow / MLAEM-NAGROM SWAP | WASIM-ETH | IHACRES LOW FLOWS 2000 | Water management studies | |
| Comprehensive Design | Streamflow depletion due to groundwater abstraction. Local models MIKE SHE | Water availability. Sacramento, MODFLOW | MODLFOE/MLAEM NL-CAT MIPWA | WASIM-ETH | |||||
| Research Process studies | NL-CAT Many field scale models. Various GGOR supporting models | ||||||||
| Flooding | Simple Screening: | Location of areas subjected to flooding. GIS tools | |||||||
| Intermediate Planning | SWAT | Sobek | HEC-RAS 1D | PDM rainfallrunoff. KW channel flow routing | |||||
| Comprehensive Design | Sobek (and others) | WINFAP-FEH;FEH; ReFH | Flood risk assessment. MIKE 11 | ||||||
| Research Process studies | Regional studies of flood protection measures | ||||||||
| Surface water quality, ecosystem | Simple Screening: | GIS tools | GIS tools | GIS tools, Excel (Rebelgroup) | MONERIS | ||||
| Intermediate Planning | Hydroecological modelling | SWAT, QUAL2E, REMM. Buffer strip effectiveness. | WFD-explorer (in development). Balance model de Straat | QUESTOR; QUASAR; STARBUGS; RIVPACS | Planning of wastewater treatment. | ||||
| Comprehensive Design | Odense Fjord water quality. MIKE 3 | NL-CAT | WASP5. ATVModel with aditional measurements | ||||||
| Research Process studies | NL-CAT | Project Clean Svratka river basin removal of blue green algae from Brno reservoir | |||||||
| Agriculture, non-point sources | Simple Screening: | GIS tools Effects of management scenarios on P load. | GIS tools. Effects of management scenarios on N and P load. | GIS tools EXPORT Coefficient Models, R USLE | Nutrient load. Regression models. | ||||
| Intermediate Planning | N leaching. NLES,Daisy | GLEAMS, Index methods and metamodeling. Critical area selection | HBV-P/N; AGNPS EROSION 3D (in subcatchments) INCA | ||||||
| Comprehensive Design | Effects of management scenarios on N leaching. Daisy | SWAT. Basin management plans | SWAT | ||||||
| Research Process studies | Euroharp + HarmoniRiB + GEUS and NERI research (Daisy +P-index) | New modules development for SWAT. For intermittent rivers. | |||||||
| Groundwater quality | Simple Screening: | GIS tools | GIS tools | GIS tools Meta-CANDY | |||||
| Intermediate Planning | Groundwater vulnerability. Local models. MIKE SHE, MODFLOW | MODFLOW | Impact of agricultural practices on groundwater quality. GLEAMS | Soil water models like CANDY | |||||
| Comprehensive Design | |||||||||
| Research Process studies | Groundwater age MIKE SHE. Nitrate reduction in groundwater. Daisy/MIKE SHE. Additional data collection |
Table 5 Data suitability to support model studies at varying complexity in the eight HarmoniRiB river basins
| Model complexity | Odense, DK | Geropotam ou,GR | Jucar, ES | Candelaro, IT | Vecht, NL | Weisse Elster, DE | Thames, UK | Svratka, CZ |
| Water resources assessment | *** | *** | *** | *** | *** | *** | *** | *** |
| Flooding | * | * | * | * | ** | ** | ** | *** |
| Surface water quality, ecosystem | *** | * | ** | * | *** | *** | *** | ** |
| Agriculture, non-point pollution | *** | * | ** | ** | *** | *** | * | * |
| Groundwater quality | *** | * | ** | ** | *** | * | ** | * |
Level of model complexity/application:
* Simple - screening
** Intermediate - planning
*** Comprehensive - design
**** Research process studies