Ecohydrological Modeling

Ecohydrological modeling and monitoring at the GIScience Group focuses on the development and application of water and mass balance models for different spatial and thematic scales. These models are mostly implemented within the JAMS framework. A further focus area is the assimilation of field based primary data for the development and validation of the process descriptions implemented in the models.

Research achievements include the development and extension of the JAMS- J2000/J2000-S/J2000g model family for the distributive description of the hydrological and ecohydrological dynamics at different scales. An additation contribution is the development of tools for the delineation of distributive model units on the basis of ARC/INFO or GRASS-GIS. Utilizing these developments several issues such as the description of water and nutrient dynamics, water management and the assessment of land use and climate change impact are addressed.

Researchers
- Dr. Sophie Biskop de
- Dr. Annika Künne de
Current Projects
Selected Publications
- Künne A., Kralisch S., Santos J.M., Flügel WA. (2019) Ecohydrological Modeling and Scenario Impact Assessment in Rural Rio de Janeiro. In: Nehren U., Schlϋter S., Raedig C., Sattler D., Hissa H. (eds) Strategies and Tools for a Sustainable Rural Rio de Janeiro. Springer Series on Environmental Management. Springer, Cham, 257-275, https://doi.org/10.1007/978-3-319-89644-1_17
- Santos JM, Künne A, Kralisch S, Fink M, Brenning A (2019) Analyzing Hydro-Climatic Data to Improve Hydrological Understanding in Rural Rio de Janeiro, Southeast Brazil. In: Nehren U, Schlϋter S, Raedig C, Sattler D, Hissa H (eds) Strategies and Tools for a Sustainable Rural Rio de Janeiro. Springer International Publishing, Cham, 237-255, https://doi.org/10.1007/978-3-319-89644-1_16
- Firoz ABM, Nauditt A, Fink M, Ribbe L (2018) Quantifying human impacts on hydrological drought using a combined modelling approach in a tropical river basin in central Vietnam. Hydrol. Earth Syst. Sci. 22:547-565. doi: 10.5194/hess-22-547-2018
- Meinhardt M, Fleischer M, Fink M, Kralisch S, Kenabatho P, Clercq WP de, Zimba H, Phiri W, Helmschrot J (2018) Semi-arid catchments under change: Adapted hydrological models to simulate the influence of climate change and human activities on rainfall-runoff processes in southern Africa. Biodivers. Ecol. 6:114-130. doi: 10.7809/b-e.00313
- Shen Y-J, Shen Y, Fink M, Kralisch S, Brenning A (2018) Unraveling the Hydrology of the Glacierized Kaidu Basin by Integrating Multisource Data in the Tianshan Mountains, Northwestern China. Water Resour. Res. 54:557-580. doi: 10.1002/2017WR021806
- Trautmann T, Koirala S, Carvalhais N, Eicker A, Fink M, Niemann C, Jung M (2018) Understanding terrestrial water storage variations in northern latitudes across scales. Hydrol. Earth Syst. Sci. 22:4061-4082. doi: 10.5194/hess-22-4061-2018
- Fink M, Fischer C, Laux P, Tünschel H, Meinhardt M (2017) Distributed Assessment of Sediment Dynamics in Central Vietnam. In: Nauditt A, Ribbe L (eds) Land Use and Climate Change Interactions in Central Vietnam: LUCCi. Springer Singapore, Singapore, pp 189-200. doi: 10.1007/978-981-10-2624-9_12
- Biskop S, Maussion F, Krause P, Fink M (2016) Differences in the water-balance components of four lakes in the southern-central Tibetan Plateau. Hydrology and Earth System Sciences 20:209-225. doi: 10.5194/hess-20-209-2016
- Branger, F., Kermadi, S., Jacqueminet, C., Michel, K., Labbas, M., Krause, P., Kralisch, S. & Braud, I. (2013) Assessment of the influence of land use data on the water balance components of a peri-urban catchment using a distributed modelling approach. Journal of Hydrology 505(0), 312-325. doi:10.1016/j.jhydrol.2013.09.055
- Steudel T, Bugan R, Kipka H, Pfennig B, Fink M, Clercq WP de, Flügel W-A, Helmschrot J (2015) Implementing contour bank farming practices into the J2000 model to improve hydrological and erosion modelling in semi-arid Western Cape Province of South Africa. Hydrology Research 46:192-211. doi: 10.2166/nh.2013.164
- Nepal, S., Krause, P., Flügel, W.-A., Fink, M. & Fischer, C. (2013) Understanding the hydrological system dynamics of a glaciated alpine catchment in the Himalaya region using J2000 hydrological model. In: Hydrological Processes, doi: 10.1002/hyp.9627
- Biskop, S., P. Krause, J. Helmschrot, M. Fink & W.-A. Flügel (2012) Assessment of data uncertainty and plausibility over the Nam Co Region, Tibet. Advances in Geosciences, doi:10.5194/adgeo-31-57-2012. [PDF]External link
- Künne A., M. Fink, H. Kipka, P. Krause & W.-A. Flügel (2012) Regionalization of meso-scale physically based nitrogen modeling outputs to the macro-scale by the use of regression trees. Advances in Geosciences, doi:10.5194/adgeo-31-15-2012. [PDF]External link
- Fink, M., M. Wetzel, H. Kipka, D. Varga, S. Kralisch, & W.-A. Flügel (2012) Designing a measurement network in a meso-scale catchment to provide data for modelling. 2012 International Congress on Environmental Modelling and Software Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp (Eds.), p.3042-3049. [PDF]External link
- Pfennig, B., H. Kipka, M. Wolf, M. Fink, P. Krause & W. A. Flügel (2009) Development of an extended spatially distributed routing scheme and its impact on process oriented hydrological modelling results. Joint IAHS & IAH International Convention, Hyderabad Vol. 333, p. 37-43.
- Fink, M., P. Krause, S. Kralisch, U. Bende-Michl & W.-A. Flügel (2007) Development and application of the modelling System J2000-S for the EU-Water Framework directive. Advances in Geosciences. doi:10.5194/adgeo-11-123-2007 [PDF]External link

Image: Lehrstuhl für Geoinformatik