Cohort TU Dresden
1. Quality in the water cycle – Networks in aquatic ecosystems
Identification of hot spots and spread of antibiotic resistance genes using mechanistic hydro-ecological modeling approach in river networks
Supervision: Prof. T. Berendonk/ Prof. M. Weitere
- Berendonk, T. U., Manaia, C. M., Merlin, C., et al. (2015). Tackling antibiotic resistance: the environmental framework. Nature Reviews Microbiology 13(5): 310-317.
- Seiler, C., & Berendonk, T. U. (2007). Heavy metal driven co-selection of antibiotic resistance in soil and water bodies impacted by agriculture and aquaculture. Role and prevalence of antibiosis and the related resistance genes in the environment: 101.
2. Quality in the water cycle - matter flow networks
Analysis and model-based description of the water and matter flow networks in mesoscale watersheds characterized by mixed rural/urban land-use
Candidate: Desamparados Martinez Domingo
Supervision: Prof. K.-H. Feger/ Prof. M. Volk/ Dr. Indrajeet Chaubey
- Julich, S., L. Breuer & H. G. Frede (2012). Integrating heterogeneous landscape characteristics into watershed scale modelling. Advances in Geosciences 31: 31-38.
- Wahren, F. T., Julich, S., Nunes, J. P., Gonzalez-Pelayo, O., Hawtree, D., Feger, K.-H. & Keizer J. J. (2016). Combining digital soil mapping and hydrological modeling in a data scarce watershed in north-central Portugal. Geoderma 264 B: 350-362.
3. Water Quantity and Scarcity – Optimization of complex water networksResilient design optimization of complex water networks under water scarcity conditions
Candidate: Maria Elena Orduna Alegria
Supervision: Prof. N. Schütze/ Prof. R. Merz
- Subagadis, Y., Grundmann, J., Schütze, N. & Schmitz, G. (2014). An integrated approach to conceptualise hydrological and socio–economic interaction for supporting management decisions of coupled groundwater-agricultural systems. Environmental Earth Sciences 72(12): 4917-4933.
- Pham Van, T., Grundmann, J., Schütze, N. & Schmitz, G. (2012). Multi-objective design of a water distribution network using simulation-based optimization. In: Proceedings of the 14th Water Distribution Systems Analysis Conference, 2012.
4. Urban Water Systems – Load peaks in sewer networks and impacts in river systemsLoad peaks in sewer networks
Candidate: Julian David Reyes Silva
Supervision: Prof. P. Krebs/ Prof. D. Borchardt/ Prof. Suresh Rao
While the dynamics of matter transport is rather well understood and described, the influence of the network structure on the extent of the load peak formation is unclear. Preliminary simulations showed that in wide and short sewer networks, a predefined rain event will create a more pronounced load peak than in long and narrow sewer networks. Obviously, the network structure matters and requires further evaluation. Departing from sewer network archetypes, structures developed with an algorithm and, ultimately, real networks will be investigated with regard to their influence on load dynamics and possible acute impacts to rivers, hampering their resilience. The questions addressed are the following:
- How does the sewer network structure affect load peaks?
- Can peaks be reduced by appropriate network structures, such as increasing the node degree, i.e. the mesh intensity?
- How should combined-sewer overflow-structures, stormwater discharge points and retention facilities be distributed in the catchment to minimise the impacts to rivers?
- Evaluate operation and control options related to network analysis in order to reduce effects and thus to better enable resilient behaviour of the affected receiving waters especially after an acute impact
- Develop a common model together with topic 8 to represent the dynamic interactions between the sewer and river networks with special focus on the impact and resilience pattern between them
- Zhang, J., Wang J., Hua, P. & Krebs, P. (2015). The qualitative and quantitative source apportionments of polycyclic aromatic hydrocarbons in size dependent road deposited sediment. Science of the Total Environment 505: 90-101.
- Kaeseberg, T., Blumensaat, F., Zhang J. & P. Krebs (2014). Spülstoßeffekt gelöster und feststoffgebundener Antibiotika und resultierendes Umweltrisiko bei Mischwasserentlastungen. Prävention und Gesundheitsförderung 9:206-210.
5. Data Collection and Information Processing ‐ Optimization of complex water networksDeriving fractal structures of precipitation from diverse data and sensor networks
Candidate: Judith Lorenz
Supervision: Prof. L. Bernard/ Prof. C. Bernhofer
- combine the different networks’ observations as a common virtual gauging sensor network and into information products which support forecasts on local, small scale extreme precipitation events,
- describe the different observation network qualities and uncertainties in such a way, that these description can be considered in further data processing ,
- enhance, define and prototype interface and data encoding specifications to support interoperable data fusion and processing,
- identify fractal characteristics of the spatial and temporal information which could support the derivation of design precipitation for extreme events and of information of small scale extreme precipitation forecasts.
Resulting methods and approaches need to be tested for applying them in different settings and catchments, while their fractal structures allow the transfer to different less densely observed regions. The studies should build on existing approaches such as interface specifications from the OpenGIS Sensor Web Enablement Standards, on (robust) geostatistical methods and recent concepts for sensor networks for environmental monitoring.
- Bernard, L., Mäs, S., Müller, M., Henzen, C. & Brauner, J. (2014). Scientific Geodata Infrastructures: Challenges, Approaches and Directions. International Journal of Digital Earth 7(7): 613-633.
- Kronenberg, R. & Bernhofer, C. (2015). A method to adapt radar-derived precipitation fields for climatological applications. Meteorologische Applications 22(3): 636–649.