Site selection of surplus water formation adversely influencing cereal production on
the Bihar plain
J. TamásUniversity of Debrecen
IV. ALPS-ADRIA SCIENTIFIC WORKSHOP28 February - 5 March 2005., Portorož, Slovenia
Applicable for Regional planningScale 100000-500000There no available actual data sources for local farm scale10000 - 25000
EU-CARPE 2006-2008
The potential effects of the agro ecological zonality and the agricultural supporting system
on more than 5 million ha agricultural land
• Integrated profit-oriented farming on good quality lands. (app.. 1-1.5 M ha)
• NATURA 2000 project protection an special technologies on the natural-protected areas. (app.. 2 M ha)
What will happen with near 1 M ha land, on which partly grain production will take place?
• Which’s quality is not the best• Do not have high environmental value• There is no knowledge and capital for a
shift in production• Agriculture has social aspects, as a
retentive factor for rural people.• For economic or ecological reasons, it do
not have alternatives (energetic biomass-, or bio-production
Agric. zone
Natur.Zone
Trans.Zone
Forest.Zone
Remote Sensing and
Agricultural
Crop Monitoring
of Hajdu-Bihar County
Aim: Improving the grain productive, and the general agro ecological potential of transitional
(middle quality) lands
• Grain production is most profitable on best quality lands
• Water management is one of the main limiting factors on less quality lands, which affects several other factors also.
• This less quality lands must be located on region and field scale to redesign land use practice
Experimental sites were covering Bihar Plain (800 km2) that was completed with the Szolnok-Túri Plain (423 km2), the scale of data was 1:10000). at around Karcag city.
Criteria for region selection:•Great proportion of transitional areas•Regularly flood risk and inland water endangered• Extremely flat area, where the selection of lands with bad water management requires special technology
Szolnok-Túri Plain (423 km2),
Bihar Plain (800 km2)
Flood risk map of TIVIZIGScale 500000
The applied water surplus model factors were the following:
• Infiltration factor (K – m/d) (categories: 1, > 0,15; 2, 0,1 - 0,15; 3, 0,05 - 0,1; 4, 0,01 - 0,05; 5, < 0,01),
• Maximal water capacity (VK – mm) (categories: 1, 400 – 450; 2, 350 – 400; 3, 300 – 350; 4, 250 – 300; 5, 150 – 250),
• Convexity (D) (categories: 1, < 0 (-); 2, 0 – 0,1; 3, 0,1 – 0,2; 4, 0,2 – 0,3; 5, > 0,3),
• Land use (F) (categories: 1, forest; 2, horticulture, orchard; 3, arable land; 4, arable land, with annual culture; 5, grassland, meadow, wet land),
• Groundwater level (M - cm) (categories: 1, > 150; 2, 125-150; 3, 125-100; 4, 100-75; 5, < 75).
Data sources
• Time series data (1940-2003) at the Szolnok-Túri-Plain ( 423 km2). 103 year long precipitation
• 51 year long groundwater level data sources was statistically analyzed. Soil maps The scale of data was 1:10000
• Thematic maps of land use (Landsat TM) The scale of data was 1:10000
• Improved DTM vert. accur. below 0.5 m
Risk mapping model of surplus wateron Szolnok-Turi plan
.Jelmagyarázat
elöntési gyakoriság
<értékek>
< 5 %
5 % - 10 %
10 % - 20 %
> 20 %
belvízvédelmi szakaszhatár
magasság mBf
<értékek>
81,56272888 - 84,40505373
84,40505374 - 85,04557765
85,04557766 - 85,76616704
85,76616705 - 86,52678919
86,5267892 - 87,1673131
87,16731311 - 87,84786975
87,84786976 - 88,72859013
88,72859014 - 89,64934325
89,64934326 - 91,81111145
0 2 050 4 100 6 150 8 2001 025Meters
Egységes Országos Vetület
Classification of Landsat TM 21/05/ 2000(saturated soils indicated by blue colour, model results by white polygons
Karcag
DTM Biomass – green colour
S e b e s -K ö rö s
B e re tty ó fo ly ó1
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5
0 4 ,5 0 0 9 ,0 0 0 1 3 ,5 0 0 1 8 ,0 0 02 ,2 5 0U n k n o w n U n its
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9 0 94.5 Kilometers
9 0 94.5 Kilometers
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9 0 94.5 Kilometers
9 0 94.5 Kilometers
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9 0 94.5 Kilometers
Osztályzott belvíz-veszélyeztetettségi kategóriatérkép
Müvelési ág kategóritérkép
Szivárgási tényezõ kategóriatérképTalajvíz mélység kategóriatérkép
Konvexitás kategóriatérkép
9 0 94.5 Kilometers
9 0 94.5 Kilometers
Maximális víztárolóképesség kategóriatérkép
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Belvíz-veszélyeztetettségi kategória eloszlási térkép
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Pálfay-féle elöntési helyek
Belvíz veszélyeztettségi osztályok
Water capacity of soils
Convexity
Depth of groundwater
Land use
Hydraulic conductivity
Result map
Classified map
Pálfai’s map
Moderate risk 22%High risk 15%
No riskMCA cmp1 cmp2
Var% 85.19 6.03
factors
Hydraulic conductivity
0.97 -0.09
Water capacity of soils
0.92 -0.18
Convexity of DTM 0.91 0.14
Land use 0.9 -0.26
Depth of groundwater
0.88 0.41
Risk map of surplus water on Bihar plain
Conclusions
• The surplus water of the over 1200 km2 large observing area was analyzed by a high resolution GIS method
• Intervention plans and water surplus protection strategy refinement in connecting with regional active and passive surplus water management are allowed by the results in the given area.
• Cereal growing risk can be efficiently reduced by our GIS method, using technology changing or land use modification those areas, where water surplus risk was high.
Thank you for your attention
IV. ALPS-ADRIA SCIENTIFIC WORKSHOP28 February - 5 March 2005., Portorož, Slovenia