Thanks to the Water Research center in Swindon UK, the model MINDER was shared, modified, improved and tested at the Slovak Environmental Agency over the river HRON , as the significant DANUBE contributary. The potential eutrophication risk in the rivers and water bodies was modeled previously in the ArcInfo GRID environment. All data preprocessing, GIS implementation, modeling and cartographic outputs described briefly by the enclosed flow chart were done by:
The area of the river HRON watercachment was selected as the appropriate landscape for the modeling in summer 1995. This area has representative characteristics that may occure in such modeling over the Slovakia territory (see details in table and the location in the schematic maps).
The project has the following six main stages and there were completed in approx. 14 months period.
The hydrologicaly corrected DEM was required by the model. Due to this the former DTM based on the
military topomaps 1:25 000 in raster 100x100m (processed in EASI-PACE) was enhanced by the
following inputs:
Before the project startup the following potential risks in data availability relevant to the CORINE
landcover were mentioned : changes in land ownership -> changes in real-estate and landuse,
privatization in industry -> changes in management and/or production character, lawmaking process ->
changes in inventory and archives and monitoring. Datasets should be synchronous with the time
horizon of LANDSAT TM scenes used in CORINE Landcover
The synchronization was determined by date of the Northern LANDSAT TM scene 188-26 because it
covers approx. 90% of the river Hron watercatchment. Besides that the datasets should be within the
continuous period of 24 month required for the modeling stage. Two secondary mapping were linked to
the CORINE thematic layer : root depths and export coefficients used in the modeling stage.
The enclosed doughnut chart is just theoretical image (the modeling result) of relationship between
area and Ptotal export/load caused by the landcover/landuse. Assessment of the landcover export
coefficients should be based more on the regional practices used in the agriculture, farming, landscape
protection and just after detail statistical analysis and ground truth verification stage some conclusions
might be done.
The model shows the possibility of development reliable tool for the eutrophication risk control, even
the calibration was very limited by lack of the calibration profiles (just 4 profiles were synchronized, see
enclosed P, Q graphs and trends within the summer months ). Actual availability of appropriate
calibration stations is challenge for the next model improvement over the Hron watercatchment, but the
landcover should be updated due to the changes in land ownership ( more heterogenous character ) and
due to the changes in management and/or production character caused by the privatization in Slovak
industry.
The last Ptotal year averages (1991-95) appears decreasing
trend in the main river Hron, but the
alarm pointers on its tributaries previously in the agricultural and urban lowland should be stimulating
(see window of the final map). Further development of the non-point pollution sources model based on
the RS & GIS is necessary along with the model implementation into the standard control mechanism
supported by legislation and international conventions. The timehorizon 1995-97 (with enough calibration
datasets, but new CORINE interpretation ) should be processed by the model and after this there should
be enough arguments with detail statistical analysis for the model application over the different Slovak
watercatchments.
NAME of the river HRON AREA of the watershed ............... 5464.54 km2
Length of the river ..................... 290.0 km
Average rate of flow .................... 56.0 m3.s-1
FLOOD water per 1 year................... 315 m3.s-1
per 10 years ................ 600 m3.s-1
per 100 years ............... 790 m3.s-1
ALTITUDE and location of the spring......934.0 m a.s.l. Central Slovakia
of the estuary .... 102.9 m a.s.l. Danube
SLOPE of the river ...................... 3.29 %.
Right side tributaries from altitudes ......... 800-1300 m a.s.l.
Left side tributaries from altitudes ......... 600-1200 m a.s.l.
PRECIPITATION average summary for period 1931-1960
lowland areas ...................... 600 - 700 mm year-1
valleys ............................ 700 - 900 mm year-1
mountains .......................... 1000 - 1200 mm year-1
EVAPORATION average value per year
lowlands ........................... 500 - 600 mm year-1
valleys ............................. 400 - 500 mm year-1
mountain slopes and tops ........... approx. 400mm year-1
RUNOFF
at lowlands ........................ 1.5 - 5.0 l.s-1.km-2
in valleys .......................... 5.0 - 10.0 l.s-1.km-2
from mountains up to 1300 m ........ 10.0 - 15.0 l.s-1.km-2
from mountains up to 2000 m ........ 20.0 - 30.0 l.s-1.km-2
The data integration and GIS implementation stage was inadequatly difficult and timeconsuming stage of
the project, but this energy is well investment to the modeling stage. The SEA had to convert data from
more than 10 institutes. Most of them were in analogue form of paper maps and classic forms. Just
some of them are listed here :
THEMATIC LAYERS AVAIABLE SCALE NUMBER OF PROCESSED MAPS Pedology and geology 1 : 5 000
1 : 10 0002300 sections in agroland
260 sections in forestsHydrology 1 : 25 000 91 toposections Meteorology & Climatogy points 16 + 60 stations
These inputs were processed by the TOPOGRID modul and resampled to
100x100m raster grid and georeferenced with other thematic grids. The output EDEM (Enhanced Digital
Elevation Model) represents significant terrain elements important in the following hydrological modeling
stage.
188-26
188-2724th October 1989
23rd July 1990
Phosphorus export coefficients were involved into the modeling as an assessment of the
Most of the Phosphorus export coefficients used during the modeling stage were recommended by WRc and
compared with the OECD references. There were no available datasets or references about the
pesticides applied in the agriculture during the modeling period.

The project and its stages is documented by report, brief statistical tables, graphs and 24 maps,
that may be plotted up to the scale 1:100 000 according to their resolution and accuracy.
CONCLUSION
Professional help of the WRc coordinator, international cooperation and more than one year of work at
the SEA was done to fulfill the main project objectives. The 1st aim of the EC, to implement the CORINE
results, was successfully completed. The 2nd and 3rd aims of the participants and WRc were partially
completed, because the model development is like 'neverending story' and development of relevant
technologies and human knowledge in this multidisciplinar field is still an open system. Results put
positive feedback into this system and helped in its progress. Hope the final workshop will confirm this
opinion.
Nada Machkova et al.
Slovak Environmental Agency
Tajovskeho 28
975 90 Banska Bystrica, Slovakia
machkova@sun.sazp.sk
http://www.sazp.sk