Xiaoqiang Yang
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A new fully distributed model of nitrate transport and removal at catchment scale
X Yang, S Jomaa, M Zink, JH Fleckenstein, D Borchardt, M Rode
Water Resources Research 54 (8), 5856-5877, 2018
Autotrophic nitrate uptake in river networks: A modeling approach using continuous high-frequency data
X Yang, S Jomaa, O Büttner, M Rode
Water research 157, 258-268, 2019
Sensitivity analysis of fully distributed parameterization reveals insights into heterogeneous catchment responses for water quality modeling
X Yang, S Jomaa, M Rode
Water Resources Research 55 (12), 10935-10953, 2019
Catchment functioning under prolonged drought stress: Tracer‐aided ecohydrological modeling in an intensively managed agricultural catchment
X Yang, D Tetzlaff, C Soulsby, A Smith, D Borchardt
Water Resources Research 57 (3), e2020WR029094, 2021
Disentangling the influence of landscape characteristics, hydroclimatic variability and land management on surface water NO3‐N dynamics: spatially distributed modelling over 30 …
S Wu, D Tetzlaff, X Yang, C Soulsby
Water Resources Research, e2021WR030566, 2022
Analyzing impacts of seasonality and landscape gradient on event-scale nitrate-discharge dynamics based on nested high-frequency monitoring
X Zhang, X Yang, S Jomaa, M Rode
Journal of Hydrology 591, 125585, 2020
Exploring the relations between sequential droughts and stream nitrogen dynamics in central Germany through catchment-scale mechanistic modelling
X Zhou, S Jomaa, X Yang, R Merz, Y Wang, M Rode
Journal of Hydrology 614, 128615, 2022
Identifying dominant processes in time and space: Time‐varying spatial sensitivity analysis for a grid‐based nitrate model
S Wu, D Tetzlaff, X Yang, C Soulsby
Water Resources Research 58 (8), e2021WR031149, 2022
Upscaling Tracer‐Aided Ecohydrological Modeling to Larger Catchments: Implications for Process Representation and Heterogeneity in Landscape Organization
X Yang, D Tetzlaff, C Müller, K Knöller, D Borchardt, C Soulsby
Water Resources Research 59 (3), e2022WR033033, 2023
Improving nitrate load estimates in an agricultural catchment using Event Response Reconstruction
S Jomaa, I Aboud, R Dupas, X Yang, J Rozemeijer, M Rode
Environmental monitoring and assessment 190, 1-14, 2018
Disentangling In‐Stream Nitrate Uptake Pathways Based on Two‐Station High‐Frequency Monitoring in High‐Order Streams
X Zhang, X Yang, R Hensley, A Lorke, M Rode
Water Resources Research 59 (3), e2022WR032329, 2023
Modelling the effect of land use change on hydrological model parameters via linearized calibration method in the upstream of Huaihe River Basin, China
W Si, W Bao, S Qu, M Zhou, P Shi, X Yang
Water SA 43 (2), 275-284, 2017
Functional Multi‐scale Integration of Agricultural Nitrogen‐Budgets into Catchment Water Quality Modeling
X Yang, M Rode, S Jomaa, I Merbach, D Tetzlaff, C Soulsby, D Borchardt
Geophysical Research Letters, e2021GL096833, 2022
The influence of anthropogenic climate change on meteorological drought in the Lancang-Mekong River basin
X Han, Q Li, X Yang, S Xu, Z Zou, M Deng, W Wang
Journal of Hydrology 626, 130334, 2023
Stream restoration can reduce nitrate levels in agricultural landscapes
X Zhou, S Jomaa, X Yang, R Merz, Y Wang, M Rode
Science of The Total Environment 896, 164911, 2023
Large-stream nitrate retention patterns shift during droughts: Seasonal to sub-daily insights from high-frequency data-model fusion
X Yang, X Zhang, D Graeber, R Hensley, H Jarvie, A Lorke, D Borchardt, ...
Water Research 243, 120347, 2023
Applicability of Difference in Oxygen-18 and Deuterium of Water Sources and Isotopic Hydrograph Separation in a Bamboo Catchment during Different Rainfall Types
Y You, S Qu, Y Wang, Q Yang, P Shi, Y Jiang, X Yang
Water 13 (24), 3531, 2021
Spatiotemporally distributed sensitivity analysis for catchment water quality models.
X Yang, S Jomaa, M Rode
Geophysical Research Abstracts 21, 2019
Towards a data-effective calibration of a fully distributed catchment water quality model
M Rode, S Ghaffar, X Zhou, S Jomaa, X Yang, G Meon
EGU24, 2024
Constraining the multi-criteria calibration of a distributed ecohydrological model with isotopic tracers and soft data
S Wu, D Tetzlaff, X Yang, A Smith, C Soulsby
AGU23, 2023
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