Selected publications

Journal_Cleaner_Production
September 2026
Journal of Cleaner Production. - 578(2026), Art. 149535

Mechanical harvesting of cyanobacterial blooms shifts greenhouse gas potential to post-harvest sludge in a hypereutrophic lake

Shenghe Cai; Nan Hu; Liu Liu; Yang Li; Min Pan; Bo Liu; Linfu Shen; Wei Sheng; Hans-Peter Grossart; Xingqiang Wu

Cyanobacterial blooms are increasingly managed through large-scale mechanical harvesting to improve water quality and ensure a continued supply of drinking water. However, as this study shows, this does not prevent greenhouse gas emissions. Just like the affected lakes, the harvested cyanobacterial sludge also releases methane, particularly when it still contains a high moisture content. 

September 2026
Water Resources Research. - 62(2026)9, Art. e2025WR041903

Development of a New Generic AI Model for Spatio-Temporal Prediction of Soil Moisture and Soil Water Isotopes

Hyekyeng Jung; Dörthe Tetzlaff; Kristina Yordanova; Chris Soulsby

Die Autor*innen haben einen neuen KI-Ansatz angewendet, um die tägliche Bodenfeuchte und die Bodenwasserisotope (δ2H, δ18O) über Bodenprofile eines Einzugsgebiets mit gemischter Landnutzung hinweg zu simulieren, wobei sparsame Klima- und Vegetationsprädiktoren verwendet wurden. Das sequenzielle Modell eignet sich für eigenständige Simulationen und als Ersatz für prozessbasierte Modelle.

August 2026
JGR Atmospheres. - 131(2026)16, Art. e2026JD046723

High-Resolution Regional Atmospheric Simulation of Precipitation and Isotopes in Central America

Yan Yang; Christian Birkel; Chris Soulsby; Ana M. Durán-Quesada; Ricardo Sánchez-Murillo; Germain Esquivel-Hernández; Kei Yoshimura; Dörthe Tetzlaff

The authors used an isotope-enabled spectral model to improve the simulation of precipitation and its isotopic composition over Costa Rica to assess the feasibility of using atmospheric model outputs as forcing data for ecohydrological models. When simulating long-term hydrological processes the model outputs provide a reliable source of forcing data and can be used for hydrological forecasts.

August 2026
Water Research. - XX(2026)X, Art. 126747

Tracing the occurrence and spatial drivers of organic contaminants in urban ponds along urbanization gradients

Elise Malsch-Fröhlich; Doerthe Tetzlaff; Gregory H. LeFevre; Stephanie Kramer-Schadt; Moritz Wenzler-Meya; Stephanie Spahr

This study presents a multi-tracer approach to investigate the impacts of urbanization on pond pollution at the city-scale, linking trace organic contaminant data, urban hydrology, and urbanization measures. In Berlin, urban ponds contained a wide variety of dissolved organic contaminants, with water inflow being a more important driver of high contaminant concentrations than surrounding land use.

June 2026
Hydrological Processes. - 40(2026)7, Art. e70625

Trade-Offs in Constraining Evapotranspiration Estimates in Complex Landscapes Using a Tracer-Aided Ecohydrological Model

Hanwu Zheng; Doerthe Tetzlaff; Christian Birkel; Songjun Wu; Christian Marx; Tobias Goldhammer; Chris Soulsby

ET interacts with multiple hydrological processes: groundwater recharge, lateral flow and streamflow. The inter-linkages become increasingly complex in ET-dominated regions with intensive management. We showed how tracer-aided modelling captures ET dynamics and how trade-offs between discharge and other observations are reflected in simulated hydrological flux/storage patterns. 

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