A cordial welcome to the website of the Chair of Hydrology and River Basin Management (HRBM) at the Technical University of Munich (TUM).
The mission of the chair is the analysis of hydrological data and processes and the development of applied hydrological models for the sustainable management of water resources in Bavaria, Germany and worldwide.
Efforts in this direction have been made through research in various areas during the past 7 years. We have been focusing on hydrological extremes (floods and droughts), integrated water resources management, alpine hydrology, urban hydrology, groundwater mixing processes, water quality, remote sensing and hydrological digitalization.
The internationalization has become one of the strengths of our Chair. Research staff from around the world contribute to our team here in Munich. This provides us with valuable experience that we also use in the guidance of our students in the field of environmental engineering.
You can find more information about our Chair, our research, and our teaching activities on this website; feel free to explore it. We highly appreciate your visit.
the HRBM team
This book discusses approaches to sustainable management of river oases along the Tarim River located in Xinjiang (northwest China).
The Tarim Basin is one of the most arid regions in the world. Surrounded by the high mountain of Tian Shan, Kunlun and Pamir, the Taklamakan Desert dominates the landscape. The Tarim River originating from the snow and glacier melt in the mountains is the only relevant source of freshwater in this extreme environment – both for anthropogenic needs in agriculture Sustainable Management of River Oases and urban areas and the natural ecosystems of the Tarim River floodplains.
Since the 1960s, the Chinese government has been promoting the development of the western provinces of China. Demographic development and socio-economic changes led to a rapid change of land use, which has substantially affected the quantity and quality of arable land, surface and ground water and impaired natural ecosystems and their ability to provide relevant ecosystem services. In particular, presently there is a conflict between water demand for agricultural irrigation and natural riparian vegetation – a conflict that might intensify in future due to climate change.
Against this background, 11 German and 6 Chinese universities and research institutes have formed the SuMaRiO consortium (Sustainable Management of River Oases along the Tarim River) to investigate sustainable water- and land-management strategies for the region.
Here, the authors of the SuMaRiO project summarize the key results of 5 years of interdisciplinary research conducted by this consortium within the ‘Sustainable Land Management’ program of the German Federal Ministry of Education and Research. They present specific results from the different work packages on climatology, hydrology, ecology, agricultural sciences, social sciences and economics. Furthermore, this book introduces the interdisciplinary research approach of the entire consortium, which has resulted in comprehensive policy recommendations for sustainable water- and land management and a decision support system, which is based on the results of the study. The authors present an example of how interdisciplinary aspects and international cooperation are able to contribute to sustainable development in complex socio-ecological environments.
Congratulations to Daniel Bittner for the successful defense on May 28, 2020 of his doctoral thesis entitled "Uncertainty quantification in modeling karst water resources and the impacts of land use changes".
The dissertation was under the chairmanship of Prof. Dr. Florian Einsiedl and supervised by
Prof. Dr. Gabriele Chiogna,
Prof. Dr.-Ing. Markus Disse
and Prof. Dr. Andreas Hartmann (University of Freiburg).
Perosa, F.; Gelhaus, M.; Zwirglmaier, V.; Arias-Rodriguez, L.F.; Zingraff-Hamed, A.; Cyffka, B.; Disse, M. (2021) Integrated Valuation of Nature-Based Solutions Using TESSA: Three Floodplain Restoration Studies in the Danube Catchment. Sustainability, 13, 1482. https://doi.org/10.3390/su13031482
Maria Kaiser, Stephan Günnemann, Markus Disse (2021) Spatiotemporal analysis of heavy rain-induced flood occurrences in Germany using a novel event database approach, Journal of Hydrology, 125985, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2021.125985.
Adla, S.; Rai, N.K.; Karumanchi, S.H.; Tripathi, S.; Disse, M.; Pande, S. (2020) Laboratory Calibration and Performance Evaluation of Low-Cost Capacitive and Very Low-Cost Resistive Soil Moisture Sensors. Sensors, 20, 363. https://doi.org/10.3390/s20020363
Lin, Q.; Leandro, J.; Gerber, S.; Disse, M. (2020). Multistep Flood Inundation Forecasts with Resilient Backpropagation Neural Networks: Kulmbach Case Study. Water , 12, 3568. https://doi.org/10.3390/w12123568
Bhola, P. K., Leandro, J., and Disse, M. (2020). Building hazard maps with differentiated risk perception for flood impact assessment, Nat. Hazards Earth Syst. Sci., 20, 2647–2663, https://doi.org/10.5194/nhess-20-2647-2020. https://nhess.copernicus.org/articles/20/2647/2020/
Lin Qing, Leandro Jorge, Wu Wenrong, Bhola Punit, Disse Markus. (2020). Prediction of Maximum Flood Inundation Extents With Resilient Backpropagation Neural Network: Case Study of Kulmbach. 8, 332, 2296-6463, Frontiers in Earth Science, DOI: 10.3389/feart.2020.00332. www.frontiersin.org/article/10.3389/feart.2020.00332
T. Pérez Ciria, H.D. Puspitarini, G. Chiogna, B. François, M. Borga. (2020). Multi-temporal scale analysis of complementarity between hydro and solar power along an alpine transect, Volume 741, 140179, ISSN 0048-9697. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.140179.
Teschemacher, S.; Bittner, D.; Disse, M. (2020). Automated Location Detection of Retention and Detention Basins for Water Management. Water 2020, 12, 1491. doi.org/10.3390/w12051491
Arias-Rodriguez, L.F.; Duan, Z.; Sepúlveda, R.; Martinez-Martinez, S.I.; Disse, M. (2020). Monitoring Water Quality of Valle de Bravo Reservoir, Mexico, Using Entire Lifespan of MERIS Data and Machine Learning Approaches. Remote Sens., 12, 1586. doi.org/10.3390/rs12101586
Neumayer, M.; Teschemacher, S.; Schloemer, S.; Zahner, V.; Rieger, W. (2020). Hydraulic Modeling of Beaver Dams and Evaluation of Their Impacts on Flood Events. Water , 12, 300. doi.org/10.3390/w12010300
Teresa Pérez Ciria, Gabriele Chiogna (2020). Intra-catchment comparison and classification of long-term streamflow variability in the Alps using wavelet analysis, Journal of Hydrology, Volume 587, 124927, ISSN 0022-1694. https://doi.org/10.1016/j.jhydrol.2020.124927.
Daniel Bittner, Ayla Rychlik, Tobias Klöffel, Anna Leuteritz, Markus Disse, Gabriele Chiogna (2020). A GIS-based model for simulating the hydrological effects of land use changes on karst systems – The integration of the LuKARS model into FREEWAT, Environmental Modelling & Software, Volume 127, 104682, ISSN 1364-8152, doi.org/10.1016/j.envsoft.2020.104682.
Maria Kaiser, Stephan Günnemann, Markus Disse (2020). Providing guidance on efficient flash flood documentation: an application based approach, Journal of Hydrology, Volume 581, 124466, ISSN 0022-1694, doi.org/10.1016/j.jhydrol.2019.124466.
Please feel free to visit our section of student activities where you may find interesting thesis topics related to our research.