This title appears in the Scientific Report :
2008
Please use the identifier:
http://hdl.handle.net/2128/11788 in citations.
Einsatz von multispektralen Satellitenbilddaten in der Wasserhaushalts- und Stoffstrommodellierung - dargestellt am Beispiel des Rureinzugsgebietes
Einsatz von multispektralen Satellitenbilddaten in der Wasserhaushalts- und Stoffstrommodellierung - dargestellt am Beispiel des Rureinzugsgebietes
The integrated REGFLUD model system was developed by the Research Centre Jülich (ICG 4) and the Federal Agricultural Research Centre (FAL) Braunschweig against the background of high nitrate impact of ground and surface waters by application of agricultural nitrogen fertilisers. In this PhD thesis t...
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Personal Name(s): | Montzka, Carsten (Corresponding author) |
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Contributing Institute: |
Agrosphäre; ICG-4 |
Imprint: |
Jülich
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
2008
|
Physical Description: |
XX, 238 S. |
Dissertation Note: |
Bonn, Univ., Diss., 2007 |
ISBN: |
978-3-89336-508-1 |
Document Type: |
Book Dissertation / PhD Thesis |
Research Program: |
Terrestrische Umwelt |
Series Title: |
Schriften des Forschungszentrums Jülich : Energie & Umwelt / Energy & Environment
1 |
Subject (ZB): | |
Link: |
OpenAccess |
Publikationsportal JuSER |
The integrated REGFLUD model system was developed by the Research Centre Jülich (ICG 4) and the Federal Agricultural Research Centre (FAL) Braunschweig against the background of high nitrate impact of ground and surface waters by application of agricultural nitrogen fertilisers. In this PhD thesis this model system, composed of the agricultural-economic model RAUMIS and the water balance model GROWA, was applied in the Rur catchment basin to analyse the application of remotely sensed data for an enhancement of model components, modelinterfaces and model results.To examine these enhancements for water balance and nitrogen flux modelling, ASTER, SPOT and LANDSAT data of the years 2000 - 2004 were assimilated to the model system. In a pre-processing step a destriping, a wavelet-based panchromatic sharpening and a manual and automated geocorrection was accom-lished. Ground truth information for agricultural crops was recorded during a field survey and used to train a Kalman filter-based neural net. After probabilistic filtering in this way an area-wide land cover map was generated. Satellite data were used in order to couple RAUMIS and GROWA by a disaggregation of nitrogen balance surpluses on allotments, i.e. the agricultural non-point nitrogen input was displayed area-differentiated. Additionally, for the land cover classes settlement and industry corresponding degrees of imperviousness were calculated. By being acquainted with the agricultural crop rotation, the potential crop evapotranspiration instead of the potential grass reference evapotranspiration wasable to be used in the water balance model GROWA. Land cover-dependant coefficients for actual evapotranspiration calculation were adjusted to meet the modified data basis and the special conditions of the Rur catchment basin. Its advantage is the determination of special coefficients for tuber crops and cereals, so that remotely sensed data triggered an important enhancement of GROWA. After the estimation of evapotranspiration, a further separation of total runoff into direct runoff and groundwater recharge was performed. Target parameter was the nitrate concentration in the leachate, identified as an agricultural indicator relevant to environment by the Organisation for Economic Cooperation and Development (OECD). Denitrification in the unsaturated soil zone was calculated in the model system by a microbial decomposition kinetics [...] |