Songjun Wu

Doctoral Student
+49 (0)30 64181 666

Müggelseedamm 310, 12587 Berlin

Research group


2012-2016, Bachelor of Science in environmental science, Nanjing Normal University

2016-2019, Master of Science in environmental science, Nanjing Normal University

Since 2019, PhD candidate in ecohydrology, Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin


PhD Topic

Tracer-aided monitoring and modelling of catchment-scale ecohydrological processes and its implication for water quality



1.       Investigating the impacts of long-term hydroclimatic change and riparian management on hydrology and water chemistry in a mixed land use catchment, and identifying the hot spot area of the hydro-chemical functioning

2.       Exploring the hydrology, isotopes, water chemistry and vegetation phenology in a higher spatiotemporal resolution in a riparian peatland (the hot spot area)

3.       Quantifying the hydrological and water quality fluxes in both catchment and hot spot area using distributed hydrological/water quality modelling



Multiple approaches are used to realise the objectives, including:

1.       Dense field sampling of water isotopes, water quality indices

2.       Hydrological and water quality modelling (mHM-Nitrate, and EcH2O-iso for plot or catchment-scale modelling)

3.       Technologies of unmanned aerial vehicle (UAV) and geographic information system (GIS) for ultra-high resolution multispectral imagery and DEM

4.       Deep learning approach for vegetation classification and soil moisture estimation based on UAV imagery



AGU 2020 – Poster

“Long-term Monitoring Shows that Climatic Variability and Riparian Management Control the Coupling of Hydrology and Nutrient Concentrations in a Mixed Land Use Lowland Catchment”

AGU 2021 – Presentation

“Unravelling the Role of Landscape Characteristics, Hydroclimate and Water Management on NO3-N Cycling via a 30-year Distributed Modelling in a Lowland Catchment”


IGB publications

Wu, S., Tetzlaff, D., Goldhammer, T., & Soulsby, C. (2021). Hydroclimatic variability and riparian wetland restoration control the hydrology and nutrient fluxes in a lowland agricultural catchment. Journal of Hydrology, 603.

Wu, S., Tetzlaff, D., Yang, X., & Soulsby, C. (2022). Disentangling the influence of landscape characteristics, hydroclimatic variability and land management on surface water NO 3 ‐N dynamics: spatially distributed modelling over 30 years in a lowland mixed land use catchment. Water Resources Research.







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