Articles | Volume 26, issue 9
https://doi.org/10.5194/hess-26-2561-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-2561-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 May 2022
Research article |
| 17 May 2022
| 17 May 2022
Influences of land use changes on the dynamics of water quantity and quality in the German lowland catchment of the Stör
Department of Hydrology and Water Resources Management, Institute for
Natural Resource Conservation, Kiel University, Olshausenstr. 75, 24118 Kiel, Germany
Paul D. Wagner
Department of Hydrology and Water Resources Management, Institute for
Natural Resource Conservation, Kiel University, Olshausenstr. 75, 24118 Kiel, Germany
Nicola Fohrer
Department of Hydrology and Water Resources Management, Institute for
Natural Resource Conservation, Kiel University, Olshausenstr. 75, 24118 Kiel, Germany
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Ayenew D. Ayalew, Paul D. Wagner, Dejene Sahlu, and Nicola Fohrer
Hydrol. Earth Syst. Sci., 28, 1853–1872, https://doi.org/10.5194/hess-28-1853-2024, https://doi.org/10.5194/hess-28-1853-2024, 2024
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The study presents a pioneering comprehensive integrated approach to unravel hydrological complexities in data-scarce regions. By integrating diverse data sources and advanced analytics, we offer a holistic understanding of water systems, unveiling hidden patterns and driving factors. This innovative method holds immense promise for informed decision-making and sustainable water resource management, addressing a critical need in hydrological science.
Nariman Mahmoodi, Jens Kiesel, Paul D. Wagner, and Nicola Fohrer
Hydrol. Earth Syst. Sci., 25, 5065–5081, https://doi.org/10.5194/hess-25-5065-2021, https://doi.org/10.5194/hess-25-5065-2021, 2021
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In this study, we assessed the sustainability of water resources in a wadi region with the help of a hydrologic model. Our assessment showed that the increases in groundwater demand and consumption exacerbate the negative impact of climate change on groundwater sustainability and hydrologic regime alteration. These alterations have severe consequences for a downstream wetland and its ecosystem. The approach may be applicable in other wadi regions with different climate and water use systems.
Björn Guse, Matthias Pfannerstill, Abror Gafurov, Jens Kiesel, Christian Lehr, and Nicola Fohrer
Hydrol. Earth Syst. Sci., 21, 5663–5679, https://doi.org/10.5194/hess-21-5663-2017, https://doi.org/10.5194/hess-21-5663-2017, 2017
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Performance measures are used to evaluate the representation of hydrological processes in parameters of hydrological models. In this study, we investigated how strongly model parameters and performance measures are connected. It was found that relationships are different for varying flow conditions, indicating that precise parameter identification requires multiple performance measures. The suggested approach contributes to a better handling of parameters in hydrological modelling.
M. Pfannerstill, B. Guse, D. Reusser, and N. Fohrer
Hydrol. Earth Syst. Sci., 19, 4365–4376, https://doi.org/10.5194/hess-19-4365-2015, https://doi.org/10.5194/hess-19-4365-2015, 2015
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To ensure reliable model results, hydrological processes have to be represented adequately in models. We present a framework that uses a temporal parameter sensitivity analysis and observed hydrological processes in the catchment to verify hydrological models. The framework is exemplarily applied to verify the groundwater structure of a hydrological model. The results show the appropriate simulation of all relevant hydrological processes in relation to processes observed in the catchment.
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
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Multi-model approach in a variable spatial framework for streamflow simulation
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Technical note: Testing the connection between hillslope-scale runoff fluctuations and streamflow hydrographs at the outlet of large river basins
Empirical stream thermal sensitivity cluster on the landscape according to geology and climate
Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia
On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow
Toward interpretable LSTM-based modeling of hydrological systems
Flow intermittence prediction using a hybrid hydrological modelling approach: influence of observed intermittence data on the training of a random forest model
What controls the tail behaviour of flood series: rainfall or runoff generation?
Seasonal prediction of end-of-dry-season watershed behavior in a highly interconnected alluvial watershed in northern California
Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau
Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records
On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration
Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings
Impacts of climate and land-surface change on catchment evapotranspiration and runoff from 1951–2020 in Saxony, Germany
Projecting sediment export from two highly glacierized alpine catchments under climate change: exploring non-parametric regression as an analysis tool
A framework for parameter estimation, sensitivity analysis, and uncertainty analysis for holistic hydrologic modeling using SWAT+
On understanding mountainous carbonate basins of the Mediterranean using parsimonious modeling solutions
Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations
Recent ground thermo-hydrological changes in a southern Tibetan endorheic catchment and implications for lake level changes
Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling
Modelling flood frequency and magnitude in a glacially conditioned, heterogeneous landscape: testing the importance of land cover and land use
Enhancing LSTM-based streamflow prediction with a spatially distributed approach
Direct integration of reservoirs' operations in a hydrological model for streamflow estimation: coupling a CLSTM model with MOHID-Land
Altitudinal Control of Isotopic Composition and Application in Understanding Hydrologic Processes in the mid Merced River Catchment, Sierra Nevada, California, USA
Modelling the regional sensitivity of snowmelt, soil moisture, and streamflow generation to climate over the Canadian Prairies using a basin classification approach
To what extent does river routing matter in hydrological modeling?
Calibrating macroscale hydrological models in poorly gauged and heavily regulated basins
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airGRteaching: an open-source tool for teaching hydrological modeling with R
Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 Large Ensemble
To What Extent Do Extreme Storm Events Change Future Flood Hazards?
Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models
Uncertainty in water transit time estimation with StorAge Selection functions and tracer data interpolation
Changes in Mediterranean flood processes and seasonality
Metamorphic Testing of Machine Learning and Conceptual Hydrologic Models
Can the combining of wetlands with reservoir operation reduce the risk of future floods and droughts?
Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado
When best is the enemy of good – critical evaluation of performance criteria in hydrological models
The suitability of differentiable, physics-informed machine learning hydrologic models for ungauged regions and climate change impact assessment
Producing reliable hydrologic scenarios from raw climate model outputs without resorting to meteorological observations
Afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain
Using normalised difference infrared index patterns to constrain semi-distributed rainfall–runoff models in tropical nested catchments
Revisiting the hydrological basis of the Budyko framework with the principle of hydrologically similar groups
Reconstructing five decades of sediment export from two glacierized high-alpine catchments in Tyrol, Austria, using nonparametric regression
Water and energy budgets over hydrological basins on short and long timescales
Hydrological response to climate change and human activities in the Three-River Source Region
Incorporating experimentally derived streamflow contributions into model parameterization to improve discharge prediction
Qian Zhu, Xiaodong Qin, Dongyang Zhou, Tiantian Yang, and Xinyi Song
Hydrol. Earth Syst. Sci., 28, 1665–1686, https://doi.org/10.5194/hess-28-1665-2024, https://doi.org/10.5194/hess-28-1665-2024, 2024
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Input data, model and calibration strategy can affect the accuracy of flood event simulation and prediction. Satellite-based precipitation with different spatiotemporal resolutions is an important input source. Data-driven models are sometimes proven to be more accurate than hydrological models. Event-based calibration and conventional strategy are two options adopted for flood simulation. This study targets the three concerns for accurate flood event simulation and prediction.
Fabio Ciulla and Charuleka Varadharajan
Hydrol. Earth Syst. Sci., 28, 1617–1651, https://doi.org/10.5194/hess-28-1617-2024, https://doi.org/10.5194/hess-28-1617-2024, 2024
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We present a new method based on network science for unsupervised classification of large datasets and apply it to classify 9067 US catchments and 274 biophysical traits at multiple scales. We find that our trait-based approach produces catchment classes with distinct streamflow behavior and that spatial patterns emerge amongst pristine and human-impacted catchments. This method can be widely used beyond hydrology to identify patterns, reduce trait redundancy, and select representative sites.
Cyril Thébault, Charles Perrin, Vazken Andréassian, Guillaume Thirel, Sébastien Legrand, and Olivier Delaigue
Hydrol. Earth Syst. Sci., 28, 1539–1566, https://doi.org/10.5194/hess-28-1539-2024, https://doi.org/10.5194/hess-28-1539-2024, 2024
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Streamflow forecasting is useful for many applications, ranging from population safety (e.g. floods) to water resource management (e.g. agriculture or hydropower). To this end, hydrological models must be optimized. However, a model is inherently wrong. This study aims to analyse the contribution of a multi-model approach within a variable spatial framework to improve streamflow simulations. The underlying idea is to take advantage of the strength of each modelling framework tested.
Lele Shu, Xiaodong Li, Yan Chang, Xianhong Meng, Hao Chen, Yuan Qi, Hongwei Wang, Zhaoguo Li, and Shihua Lyu
Hydrol. Earth Syst. Sci., 28, 1477–1491, https://doi.org/10.5194/hess-28-1477-2024, https://doi.org/10.5194/hess-28-1477-2024, 2024
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We developed a new model to better understand how water moves in a lake basin. Our model improves upon previous methods by accurately capturing the complexity of water movement, both on the surface and subsurface. Our model, tested using data from China's Qinghai Lake, accurately replicates complex water movements and identifies contributing factors of the lake's water balance. The findings provide a robust tool for predicting hydrological processes, aiding water resource planning.
Ricardo Mantilla, Morgan Fonley, and Nicolás Velásquez
Hydrol. Earth Syst. Sci., 28, 1373–1382, https://doi.org/10.5194/hess-28-1373-2024, https://doi.org/10.5194/hess-28-1373-2024, 2024
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Hydrologists strive to “Be right for the right reasons” when modeling the hydrologic cycle; however, the datasets available to validate hydrological models are sparse, and in many cases, they comprise streamflow observations at the outlets of large catchments. In this work, we show that matching streamflow observations at the outlet of a large basin is not a reliable indicator of a correct description of the small-scale runoff processes.
Lillian M. McGill, E. Ashley Steel, and Aimee H. Fullerton
Hydrol. Earth Syst. Sci., 28, 1351–1371, https://doi.org/10.5194/hess-28-1351-2024, https://doi.org/10.5194/hess-28-1351-2024, 2024
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This study examines the relationship between air and river temperatures in Washington's Snoqualmie and Wenatchee basins. We used classification and regression approaches to show that the sensitivity of river temperature to air temperature is variable across basins and controlled largely by geology and snowmelt. Findings can be used to inform strategies for river basin restoration and conservation, such as identifying climate-insensitive areas of the basin that should be preserved and protected.
Stephanie R. Clark, Julien Lerat, Jean-Michel Perraud, and Peter Fitch
Hydrol. Earth Syst. Sci., 28, 1191–1213, https://doi.org/10.5194/hess-28-1191-2024, https://doi.org/10.5194/hess-28-1191-2024, 2024
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To determine if deep learning models are in general a viable alternative to traditional hydrologic modelling techniques in Australian catchments, a comparison of river–runoff predictions is made between traditional conceptual models and deep learning models in almost 500 catchments spread over the continent. It is found that the deep learning models match or outperform the traditional models in over two-thirds of the river catchments, indicating feasibility in a wide variety of conditions.
Dipti Tiwari, Mélanie Trudel, and Robert Leconte
Hydrol. Earth Syst. Sci., 28, 1127–1146, https://doi.org/10.5194/hess-28-1127-2024, https://doi.org/10.5194/hess-28-1127-2024, 2024
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Calibrating hydrological models with multi-objective functions enhances model robustness. By using spatially distributed snow information in the calibration, the model performance can be enhanced without compromising the outputs. In this study the HYDROTEL model was calibrated in seven different experiments, incorporating the SPAEF (spatial efficiency) metric alongside Nash–Sutcliffe efficiency (NSE) and root-mean-square error (RMSE), with the aim of identifying the optimal calibration strategy.
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura Elizabeth Condon
Hydrol. Earth Syst. Sci., 28, 945–971, https://doi.org/10.5194/hess-28-945-2024, https://doi.org/10.5194/hess-28-945-2024, 2024
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Long short-term memory (LSTM) is a widely used machine-learning model in hydrology, but it is difficult to extract knowledge from it. We propose HydroLSTM, which represents processes like a hydrological reservoir. Models based on HydroLSTM perform similarly to LSTM while requiring fewer cell states. The learned parameters are informative about the dominant hydrology of a catchment. Our results show how parsimony and hydrological knowledge extraction can be achieved by using the new structure.
Louise Mimeau, Annika Künne, Flora Branger, Sven Kralisch, Alexandre Devers, and Jean-Philippe Vidal
Hydrol. Earth Syst. Sci., 28, 851–871, https://doi.org/10.5194/hess-28-851-2024, https://doi.org/10.5194/hess-28-851-2024, 2024
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Modelling flow intermittence is essential for predicting the future evolution of drying in river networks and better understanding the ecological and socio-economic impacts. However, modelling flow intermittence is challenging, and observed data on temporary rivers are scarce. This study presents a new modelling approach for predicting flow intermittence in river networks and shows that combining different sources of observed data reduces the model uncertainty.
Elena Macdonald, Bruno Merz, Björn Guse, Viet Dung Nguyen, Xiaoxiang Guan, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 28, 833–850, https://doi.org/10.5194/hess-28-833-2024, https://doi.org/10.5194/hess-28-833-2024, 2024
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In some rivers, the occurrence of extreme flood events is more likely than in other rivers – they have heavy-tailed distributions. We find that threshold processes in the runoff generation lead to such a relatively high occurrence probability of extremes. Further, we find that beyond a certain return period, i.e. for rare events, rainfall is often the dominant control compared to runoff generation. Our results can help to improve the estimation of the occurrence probability of extreme floods.
Claire Kouba and Thomas Harter
Hydrol. Earth Syst. Sci., 28, 691–718, https://doi.org/10.5194/hess-28-691-2024, https://doi.org/10.5194/hess-28-691-2024, 2024
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In some watersheds, the severity of the dry season has a large impact on aquatic ecosystems. In this study, we design a way to predict, 5–6 months in advance, how severe the dry season will be in a rural watershed in northern California. This early warning can support seasonal adaptive management. To predict these two values, we assess data about snow, rain, groundwater, and river flows. We find that maximum snowpack and total wet season rainfall best predict dry season severity.
Yi Nan and Fuqiang Tian
Hydrol. Earth Syst. Sci., 28, 669–689, https://doi.org/10.5194/hess-28-669-2024, https://doi.org/10.5194/hess-28-669-2024, 2024
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This paper utilized a tracer-aided model validated by multiple datasets in a large mountainous basin on the Tibetan Plateau to analyze hydrological sensitivity to climate change. The spatial pattern of the local hydrological sensitivities and the influence factors were analyzed in particular. The main finding of this paper is that the local hydrological sensitivity in mountainous basins is determined by the relationship between the glacier area ratio and the mean annual precipitation.
Michael J. Vlah, Matthew R. V. Ross, Spencer Rhea, and Emily S. Bernhardt
Hydrol. Earth Syst. Sci., 28, 545–573, https://doi.org/10.5194/hess-28-545-2024, https://doi.org/10.5194/hess-28-545-2024, 2024
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Virtual stream gauging enables continuous streamflow estimation where a gauge might be difficult or impractical to install. We reconstructed flow at 27 gauges of the National Ecological Observatory Network (NEON), informing ~199 site-months of missing data in the official record and improving that accuracy of official estimates at 11 sites. This study shows that machine learning, but also routine regression methods, can be used to supplement existing gauge networks and reduce monitoring costs.
Sungwook Wi and Scott Steinschneider
Hydrol. Earth Syst. Sci., 28, 479–503, https://doi.org/10.5194/hess-28-479-2024, https://doi.org/10.5194/hess-28-479-2024, 2024
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We investigate whether deep learning (DL) models can produce physically plausible streamflow projections under climate change. We address this question by focusing on modeled responses to increases in temperature and potential evapotranspiration and by employing three DL and three process-based hydrological models. The results suggest that physical constraints regarding model architecture and input are necessary to promote the physical realism of DL hydrological projections under climate change.
Guillaume Evin, Matthieu Le Lay, Catherine Fouchier, David Penot, Francois Colleoni, Alexandre Mas, Pierre-André Garambois, and Olivier Laurantin
Hydrol. Earth Syst. Sci., 28, 261–281, https://doi.org/10.5194/hess-28-261-2024, https://doi.org/10.5194/hess-28-261-2024, 2024
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Hydrological modelling of mountainous catchments is challenging for many reasons, the main one being the temporal and spatial representation of precipitation forcings. This study presents an evaluation of the hydrological modelling of 55 small mountainous catchments of the northern French Alps, focusing on the influence of the type of precipitation reanalyses used as inputs. These evaluations emphasize the added value of radar measurements, in particular for the reproduction of flood events.
Maik Renner and Corina Hauffe
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-6, https://doi.org/10.5194/hess-2024-6, 2024
Revised manuscript accepted for HESS
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Climate and land-surface conditions influence the availability of fresh water resources. Their impact is quantified with data of 71 catchments in Saxony/Germany, for which distinct signatures in the joint water and energy budgets are found: (i) past forest dieback caused a decrease and subsequent recovery of evapotranspiration in the affected regions, and (ii) the recent shift towards higher aridity imposed a large decline in runoff, that has not been seen in the observation records before.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, and Axel Bronstert
Hydrol. Earth Syst. Sci., 28, 139–161, https://doi.org/10.5194/hess-28-139-2024, https://doi.org/10.5194/hess-28-139-2024, 2024
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How suspended sediment export from glacierized high-alpine areas responds to future climate change is hardly assessable as many interacting processes are involved, and appropriate physical models are lacking. We present the first study, to our knowledge, exploring machine learning to project sediment export until 2100 in two high-alpine catchments. We find that uncertainties due to methodological limitations are small until 2070. Negative trends imply that peak sediment may have already passed.
Salam A. Abbas, Ryan T. Bailey, Jeremy T. White, Jeffrey G. Arnold, Michael J. White, Natalja Čerkasova, and Jungang Gao
Hydrol. Earth Syst. Sci., 28, 21–48, https://doi.org/10.5194/hess-28-21-2024, https://doi.org/10.5194/hess-28-21-2024, 2024
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Research highlights.
1. Implemented groundwater module (gwflow) into SWAT+ for four watersheds with different unique hydrologic features across the United States.
2. Presented methods for sensitivity analysis, uncertainty analysis and parameter estimation for coupled models.
3. Sensitivity analysis for streamflow and groundwater head conducted using Morris method.
4. Uncertainty analysis and parameter estimation performed using an iterative ensemble smoother within the PEST framework.
Shima Azimi, Christian Massari, Giuseppe Formetta, Silvia Barbetta, Alberto Tazioli, Davide Fronzi, Sara Modanesi, Angelica Tarpanelli, and Riccardo Rigon
Hydrol. Earth Syst. Sci., 27, 4485–4503, https://doi.org/10.5194/hess-27-4485-2023, https://doi.org/10.5194/hess-27-4485-2023, 2023
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We analyzed the water budget of nested karst catchments using simple methods and modeling. By utilizing the available data on precipitation and discharge, we were able to determine the response lag-time by adopting new techniques. Additionally, we modeled snow cover dynamics and evapotranspiration with the use of Earth observations, providing a concise overview of the water budget for the basin and its subbasins. We have made the data, models, and workflows accessible for further study.
Yuhang Zhang, Aizhong Ye, Bita Analui, Phu Nguyen, Soroosh Sorooshian, Kuolin Hsu, and Yuxuan Wang
Hydrol. Earth Syst. Sci., 27, 4529–4550, https://doi.org/10.5194/hess-27-4529-2023, https://doi.org/10.5194/hess-27-4529-2023, 2023
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Our study shows that while the quantile regression forest (QRF) and countable mixtures of asymmetric Laplacians long short-term memory (CMAL-LSTM) models demonstrate similar proficiency in multipoint probabilistic predictions, QRF excels in smaller watersheds and CMAL-LSTM in larger ones. CMAL-LSTM performs better in single-point deterministic predictions, whereas QRF model is more efficient overall.
Léo C. P. Martin, Sebastian Westermann, Michele Magni, Fanny Brun, Joel Fiddes, Yanbin Lei, Philip Kraaijenbrink, Tamara Mathys, Moritz Langer, Simon Allen, and Walter W. Immerzeel
Hydrol. Earth Syst. Sci., 27, 4409–4436, https://doi.org/10.5194/hess-27-4409-2023, https://doi.org/10.5194/hess-27-4409-2023, 2023
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Across the Tibetan Plateau, many large lakes have been changing level during the last decades as a response to climate change. In high-mountain environments, water fluxes from the land to the lakes are linked to the ground temperature of the land and to the energy fluxes between the ground and the atmosphere, which are modified by climate change. With a numerical model, we test how these water and energy fluxes have changed over the last decades and how they influence the lake level variations.
Diego Araya, Pablo A. Mendoza, Eduardo Muñoz-Castro, and James McPhee
Hydrol. Earth Syst. Sci., 27, 4385–4408, https://doi.org/10.5194/hess-27-4385-2023, https://doi.org/10.5194/hess-27-4385-2023, 2023
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Dynamical systems are used by many agencies worldwide to produce seasonal streamflow forecasts, which are critical for decision-making. Such systems rely on hydrology models, which contain parameters that are typically estimated using a target performance metric (i.e., objective function). This study explores the effects of this decision across mountainous basins in Chile, illustrating tradeoffs between seasonal forecast quality and the models' capability to simulate streamflow characteristics.
Pamela E. Tetford and Joseph R. Desloges
Hydrol. Earth Syst. Sci., 27, 3977–3998, https://doi.org/10.5194/hess-27-3977-2023, https://doi.org/10.5194/hess-27-3977-2023, 2023
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An efficient regional flood frequency model relates drainage area to discharge, with a major assumption of similar basin conditions. In a landscape with variable glacial deposits and land use, we characterize varying hydrological function using 28 explanatory variables. We demonstrate that (1) a heterogeneous landscape requires objective model selection criteria to optimize the fit of flow data, and (2) incorporating land use as a predictor variable improves the drainage area to discharge model.
Qiutong Yu, Bryan A. Tolson, Hongren Shen, Ming Han, Juliane Mai, and Jimmy Lin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-237, https://doi.org/10.5194/hess-2023-237, 2023
Revised manuscript accepted for HESS
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It is challenging to incorporate the spatial distribution information of input variables when implementing LSTM models for streamflow prediction. This paper presents a novel hybrid modeling approach to predict streamflow while accounting for spatial variability. We evaluated the performance against lumped LSTM predictions in 224 basins across the Great Lakes region in North America. This approach shows promise in predicting streamflow at large ungauged basin.
Ana Ramos Oliveira, Tiago Brito Ramos, Lígia Pinto, and Ramiro Neves
Hydrol. Earth Syst. Sci., 27, 3875–3893, https://doi.org/10.5194/hess-27-3875-2023, https://doi.org/10.5194/hess-27-3875-2023, 2023
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This paper intends to demonstrate the adequacy of a hybrid solution to overcome the difficulties related to the incorporation of human behavior when modeling hydrological processes. Two models were implemented, one to estimate the outflow of a reservoir and the other to simulate the hydrological processes of the watershed. With both models feeding each other, results show that the proposed approach significantly improved the streamflow estimation downstream of the reservoir.
Fengjing Liu, Martha H. Conklin, and Glenn D. Shaw
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-230, https://doi.org/10.5194/hess-2023-230, 2023
Revised manuscript accepted for HESS
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Mountain snowpack has been declining and more precipitation falls as rain than snow. Using stable isotopes, we found flows and flow duration in Yosemite Creek are most sensitive to climate warming due to strong evaporation of waterfalls, potentially lengthening the dry-up period of water falls in summer and negatively affecting tourism. Groundwater recharge in Yosemite Valley is primarily from the upper snow-rain transition (2,000–2,500m) and very vulnerable to shift in the snow-rain ratio.
Zhihua He, Kevin Shook, Christopher Spence, John W. Pomeroy, and Colin Whitfield
Hydrol. Earth Syst. Sci., 27, 3525–3546, https://doi.org/10.5194/hess-27-3525-2023, https://doi.org/10.5194/hess-27-3525-2023, 2023
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This study evaluated the impacts of climate change on snowmelt, soil moisture, and streamflow over the Canadian Prairies. The entire prairie region was divided into seven basin types. We found strong variations of hydrological sensitivity to precipitation and temperature changes in different land covers and basins, which suggests that different water management and adaptation methods are needed to address enhanced water stress due to expected climate change in different regions of the prairies.
Nicolás Cortés-Salazar, Nicolás Vásquez, Naoki Mizukami, Pablo A. Mendoza, and Ximena Vargas
Hydrol. Earth Syst. Sci., 27, 3505–3524, https://doi.org/10.5194/hess-27-3505-2023, https://doi.org/10.5194/hess-27-3505-2023, 2023
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This paper shows how important river models can be for water resource applications that involve hydrological models and, in particular, parameter calibration. To this end, we conduct numerical experiments in a pilot basin using a combination of hydrologic model simulations obtained from a large sample of parameter sets and different routing methods. We find that routing can affect streamflow simulations, even at monthly time steps; the choice of parameters; and relevant streamflow metrics.
Dung Trung Vu, Thanh Duc Dang, Francesca Pianosi, and Stefano Galelli
Hydrol. Earth Syst. Sci., 27, 3485–3504, https://doi.org/10.5194/hess-27-3485-2023, https://doi.org/10.5194/hess-27-3485-2023, 2023
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The calibration of hydrological models over extensive spatial domains is often challenged by the lack of data on river discharge and the operations of hydraulic infrastructures. Here, we use satellite data to address the lack of data that could unintentionally bias the calibration process. Our study is underpinned by a computational framework that quantifies this bias and provides a safe approach to the calibration of models in poorly gauged and heavily regulated basins.
Francesco Fatone, Bartosz Szeląg, Przemysław Kowal, Arthur McGarity, Adam Kiczko, Grzegorz Wałek, Ewa Wojciechowska, Michał Stachura, and Nicolas Caradot
Hydrol. Earth Syst. Sci., 27, 3329–3349, https://doi.org/10.5194/hess-27-3329-2023, https://doi.org/10.5194/hess-27-3329-2023, 2023
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A novel methodology for the development of a stormwater network performance simulator including advanced risk assessment was proposed. The applied tool enables the analysis of the influence of spatial variability in catchment and stormwater network characteristics on the relation between (SWMM) model parameters and specific flood volume, as an alternative approach to mechanistic models. The proposed method can be used at the stage of catchment model development and spatial planning management.
Olivier Delaigue, Pierre Brigode, Guillaume Thirel, and Laurent Coron
Hydrol. Earth Syst. Sci., 27, 3293–3327, https://doi.org/10.5194/hess-27-3293-2023, https://doi.org/10.5194/hess-27-3293-2023, 2023
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Teaching hydrological modeling is an important, but difficult, matter. It requires appropriate tools and teaching material. In this article, we present the airGRteaching package, which is an open-source software tool relying on widely used hydrological models. This tool proposes an interface and numerous hydrological modeling exercises representing a wide range of hydrological applications. We show how this tool can be applied to simple but real-life cases.
Florian Willkofer, Raul Roger Wood, and Ralf Ludwig
EGUsphere, https://doi.org/10.5194/egusphere-2023-2019, https://doi.org/10.5194/egusphere-2023-2019, 2023
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Severe flood events pose threat to riverine areas, yet robust estimates about the dynamics of these events in the future due to climate change are rarely available. Hence, this study uses and benefits from data from a RCM SMILE to drive a high-resolution hydrological model for 98 catchments of the Hydrological Bavaria to exploit the large database to derive robust values for the 100-year flood events. Results indicate an increase in frequency and intensity for most catchments in the future.
Mariam Khanam, Giulia Sofia, and Emmanouil N. Anagnostou
EGUsphere, https://doi.org/10.5194/egusphere-2023-1969, https://doi.org/10.5194/egusphere-2023-1969, 2023
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Due to climate change, flooding is expected to become more frequent globally in the coming decades. Locally, storm-induced channel geometry changes can drastically affect flood hazards, yet rivers are mostly treated as static elements in flood studies. This study tried to gain an understanding of the effects of major storm events on future flood hazards, promoting a framework for incorporating channel conveyance adjustments into flood hazard assessment.
Siyuan Wang, Markus Hrachowitz, Gerrit Schoups, and Christine Stumpp
Hydrol. Earth Syst. Sci., 27, 3083–3114, https://doi.org/10.5194/hess-27-3083-2023, https://doi.org/10.5194/hess-27-3083-2023, 2023
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This study shows that previously reported underestimations of water ages are most likely not due to the use of seasonally variable tracers. Rather, these underestimations can be largely attributed to the choices of model approaches which rely on assumptions not frequently met in catchment hydrology. We therefore strongly advocate avoiding the use of this model type in combination with seasonally variable tracers and instead adopting StorAge Selection (SAS)-based or comparable model formulations.
Arianna Borriero, Rohini Kumar, Tam V. Nguyen, Jan H. Fleckenstein, and Stefanie R. Lutz
Hydrol. Earth Syst. Sci., 27, 2989–3004, https://doi.org/10.5194/hess-27-2989-2023, https://doi.org/10.5194/hess-27-2989-2023, 2023
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We analyzed the uncertainty of the water transit time distribution (TTD) arising from model input (interpolated tracer data) and structure (StorAge Selection, SAS, functions). We found that uncertainty was mainly associated with temporal interpolation, choice of SAS function, nonspatial interpolation, and low-flow conditions. It is important to characterize the specific uncertainty sources and their combined effects on TTD, as this has relevant implications for both water quantity and quality.
Yves Tramblay, Patrick Arnaud, Guillaume Artigue, Michel Lang, Emmanuel Paquet, Luc Neppel, and Eric Sauquet
Hydrol. Earth Syst. Sci., 27, 2973–2987, https://doi.org/10.5194/hess-27-2973-2023, https://doi.org/10.5194/hess-27-2973-2023, 2023
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Mediterranean floods are causing major damage, and recent studies have shown that, despite the increase in intense rainfall, there has been no increase in river floods. This study reveals that the seasonality of floods changed in the Mediterranean Basin during 1959–2021. There was also an increased frequency of floods linked to short episodes of intense rain, associated with a decrease in soil moisture. These changes need to be taken into consideration to adapt flood warning systems.
Peter Reichert, Kai Ma, Marvin Höge, Fabrizio Fenicia, Marco Baity-Jesi, Dapeng Feng, and Chaopeng Shen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-168, https://doi.org/10.5194/hess-2023-168, 2023
Revised manuscript accepted for HESS
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We compared the predicted change in catchment outlet discharge to precipitation and temperature change for conceptual and machine-learning hydrological models. We found that machine-learning models, despite providing excellent fit and prediction capabilities, can be unreliable regarding the prediction of the effect of temperature change for low elevation catchments. This indicates the need for caution when applying them for the prediction of the effect of climate change.
Yanfeng Wu, Jingxuan Sun, Boting Hu, Y. Jun Xu, Alain N. Rousseau, and Guangxin Zhang
Hydrol. Earth Syst. Sci., 27, 2725–2745, https://doi.org/10.5194/hess-27-2725-2023, https://doi.org/10.5194/hess-27-2725-2023, 2023
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Reservoirs and wetlands are important regulators of watershed hydrology, which should be considered when projecting floods and droughts. We first coupled wetlands and reservoir operations into a semi-spatially-explicit hydrological model and then applied it in a case study involving a large river basin in northeast China. We found that, overall, the risk of future floods and droughts will increase further even under the combined influence of reservoirs and wetlands.
Peishi Jiang, Pin Shuai, Alexander Sun, Maruti K. Mudunuru, and Xingyuan Chen
Hydrol. Earth Syst. Sci., 27, 2621–2644, https://doi.org/10.5194/hess-27-2621-2023, https://doi.org/10.5194/hess-27-2621-2023, 2023
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We developed a novel deep learning approach to estimate the parameters of a computationally expensive hydrological model on only a few hundred realizations. Our approach leverages the knowledge obtained by data-driven analysis to guide the design of the deep learning model used for parameter estimation. We demonstrate this approach by calibrating a state-of-the-art hydrological model against streamflow and evapotranspiration observations at a snow-dominated watershed in Colorado.
Guillaume Cinkus, Naomi Mazzilli, Hervé Jourde, Andreas Wunsch, Tanja Liesch, Nataša Ravbar, Zhao Chen, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 27, 2397–2411, https://doi.org/10.5194/hess-27-2397-2023, https://doi.org/10.5194/hess-27-2397-2023, 2023
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The Kling–Gupta Efficiency (KGE) is a performance criterion extensively used to evaluate hydrological models. We conduct a critical study on the KGE and its variant to examine counterbalancing errors. Results show that, when assessing a simulation, concurrent over- and underestimation of discharge can lead to an overall higher criterion score without an associated increase in model relevance. We suggest that one carefully choose performance criteria and use scaling factors.
Dapeng Feng, Hylke Beck, Kathryn Lawson, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 27, 2357–2373, https://doi.org/10.5194/hess-27-2357-2023, https://doi.org/10.5194/hess-27-2357-2023, 2023
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Powerful hybrid models (called δ or delta models) embrace the fundamental learning capability of AI and can also explain the physical processes. Here we test their performance when applied to regions not in the training data. δ models rivaled the accuracy of state-of-the-art AI models under the data-dense scenario and even surpassed them for the data-sparse one. They generalize well due to the physical structure included. δ models could be ideal candidates for global hydrologic assessment.
Simon Ricard, Philippe Lucas-Picher, Antoine Thiboult, and François Anctil
Hydrol. Earth Syst. Sci., 27, 2375–2395, https://doi.org/10.5194/hess-27-2375-2023, https://doi.org/10.5194/hess-27-2375-2023, 2023
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A simplified hydroclimatic modelling workflow is proposed to quantify the impact of climate change on water discharge without resorting to meteorological observations. Results confirm that the proposed workflow produces equivalent projections of the seasonal mean flows in comparison to a conventional hydroclimatic modelling approach. The proposed approach supports the participation of end-users in interpreting the impact of climate change on water resources.
Marcus Edmund Henry Buechel, Louise Slater, and Simon Dadson
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-138, https://doi.org/10.5194/hess-2023-138, 2023
Revised manuscript accepted for HESS
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Afforestation has been proposed internationally, but the hydrological implications of such large increases in spatial extent of woodland are not fully understood. In this study we use a land surface model to simulate hydrology across Great Britain with realistic afforestation scenarios and potential climate changes. Countrywide afforestation minimally influences hydrology when compared to climate change, and reduces low streamflow whilst not lowering the highest flows.
Nutchanart Sriwongsitanon, Wasana Jandang, James Williams, Thienchart Suwawong, Ekkarin Maekan, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 27, 2149–2171, https://doi.org/10.5194/hess-27-2149-2023, https://doi.org/10.5194/hess-27-2149-2023, 2023
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We developed predictive semi-distributed rainfall–runoff models for nested sub-catchments in the upper Ping basin, which yielded better or similar performance compared to calibrated lumped models. The normalised difference infrared index proves to be an effective proxy for distributed root zone moisture capacity over sub-catchments and is well correlated with the percentage of evergreen forest. In validation, soil moisture simulations appeared to be highly correlated with the soil wetness index.
Yuchan Chen, Xiuzhi Chen, Meimei Xue, Chuanxun Yang, Wei Zheng, Jun Cao, Wenting Yan, and Wenping Yuan
Hydrol. Earth Syst. Sci., 27, 1929–1943, https://doi.org/10.5194/hess-27-1929-2023, https://doi.org/10.5194/hess-27-1929-2023, 2023
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This study addresses the quantification and estimation of the watershed-characteristic-related parameter (Pw) in the Budyko framework with the principle of hydrologically similar groups. The results show that Pw is closely related to soil moisture and fractional vegetation cover, and the relationship varies across specific hydrologic similarity groups. The overall satisfactory performance of the Pw estimation model improves the applicability of the Budyko framework for global runoff estimation.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, Christoph Mayer, and Axel Bronstert
Hydrol. Earth Syst. Sci., 27, 1841–1863, https://doi.org/10.5194/hess-27-1841-2023, https://doi.org/10.5194/hess-27-1841-2023, 2023
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We present a suitable method to reconstruct sediment export from decadal records of hydroclimatic predictors (discharge, precipitation, temperature) and shorter suspended sediment measurements. This lets us fill the knowledge gap on how sediment export from glacierized high-alpine areas has responded to climate change. We find positive trends in sediment export from the two investigated nested catchments with step-like increases around 1981 which are linked to crucial changes in glacier melt.
Samantha Petch, Bo Dong, Tristan Quaife, Robert P. King, and Keith Haines
Hydrol. Earth Syst. Sci., 27, 1723–1744, https://doi.org/10.5194/hess-27-1723-2023, https://doi.org/10.5194/hess-27-1723-2023, 2023
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Gravitational measurements of water storage from GRACE (Gravity Recovery and Climate Experiment) can improve understanding of the water budget. We produce flux estimates over large river catchments based on observations that close the monthly water budget and ensure consistency with GRACE on short and long timescales. We use energy data to provide additional constraints and balance the long-term energy budget. These flux estimates are important for evaluating climate models.
Ting Su, Chiyuan Miao, Qingyun Duan, Jiaojiao Gou, Xiaoying Guo, and Xi Zhao
Hydrol. Earth Syst. Sci., 27, 1477–1492, https://doi.org/10.5194/hess-27-1477-2023, https://doi.org/10.5194/hess-27-1477-2023, 2023
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The Three-River Source Region (TRSR) plays an extremely important role in water resources security and ecological and environmental protection in China and even all of Southeast Asia. This study used the variable infiltration capacity (VIC) land surface hydrologic model linked with the degree-day factor algorithm to simulate the runoff change in the TRSR. These results will help to guide current and future regulation and management of water resources in the TRSR.
Andreas Hartmann, Jean-Lionel Payeur-Poirier, and Luisa Hopp
Hydrol. Earth Syst. Sci., 27, 1325–1341, https://doi.org/10.5194/hess-27-1325-2023, https://doi.org/10.5194/hess-27-1325-2023, 2023
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We advance our understanding of including information derived from environmental tracers into hydrological modeling. We present a simple approach that integrates streamflow observations and tracer-derived streamflow contributions for model parameter estimation. We consider multiple observed streamflow components and their variation over time to quantify the impact of their inclusion for streamflow prediction at the catchment scale.
Cited articles
Abdi, H.: Partial least squares regression and projection on latent structure regression (PLS Regression), Wiley Interdiscip. Rev. Comput. Stat., 2, 97–106, https://doi.org/10.1002/wics.51, 2010.
Aghsaei, H., Dinan, N. M., Moridi, A., Asadolahi, Z., Delavar, M., Fohrer, N., and Wagner, P. D.: Effects of dynamic land use/land cover change on water resources and sediment yield in the Anzali wetland catchment, Gilan, Iran, Sci. Total Environ., 712, 136449, https://doi.org/10.1016/j.scitotenv.2019.136449, 2020.
Amin, M. M., Veith, T. L., Shortle, J. S., Karsten, H. D., and Kleinman, P. J.: Addressing the spatial disconnect between national-scale total maximum daily loads and localized land management decisions, J. Environ. Qual., 49,
613–627, https://doi.org/10.1002/jeq2.20051, 2020.
Amiri, B. J. and Nakane, K.: Modeling the linkage between river water quality and landscape metrics in the Chugoku district of Japan, Water. Resor. Manage., 23, 931–956, https://doi.org/10.1007/s11269-008-9307-z, 2009.
Anand, J., Gosain, A. K., and Khosa, R.: Prediction of land use changes based on Land Change Modeler and attribution of changes in the water balance of Ganga basin to land use change using the SWAT model, Sci. Total Environ., 644, 503–519, https://doi.org/10.1016/j.scitotenv.2018.07.017, 2018.
Antolini, F., Tate, E., Dalzell, B., Young, N., Johnson, K., and Hawthorne,
P. L.: Flood risk reduction from agricultural best management practices, J.
Am. Water Resour. Assoc., 56, 161–179, https://doi.org/10.1111/1752-1688.12812, 2020.
Aredo, M. R., Hatiye, S. D., and Pingale, S. M.: Impact of land use/land
cover change on stream flow in the Shaya catchment of Ethiopia using the
MIKE SHE model, Arab. J. Geosci., 14, 1–15, https://doi.org/10.1007/s12517-021-06447-2, 2021.
Arnold, J., Kiniry, J., Srinivasan, R., Williams, J., Haney, E., and Neitsch, S.: SWAT 2012 input/output documentation, Texas Water Resources Institute, https://swat.tamu.edu/media/69296/swat-io-documentation-2012.pdf (last access: 12 October 2019), 2013.
Arnold, J., Kiniry, J., Srinivasan, R., Williams, J., Haney, E., and
Neitsch, S.: SWAT2012 Executables file, https://swat.tamu.edu/software/swat-executables/, last access: 10 January 2019.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large
area hydrologic modeling and assessment part I: model development 1, J. Am.
Water Resour. Assoc., 34, 73–89, https://doi.org/10.1111/j.1752-1688.1998.tb05961.x, 1998.
Ayivi, F. and Jha, M. K.: Estimation of water balance and water yield in the
Reedy Fork-Buffalo Creek Watershed in North Carolina using SWAT, Int. Soil
Water Conserv. Res., 6, 203–213, https://doi.org/10.1016/j.iswcr.2018.03.007, 2018.
Basuki, T. M., Nugrahanto, E. B., Pramono, I. B., and Wijaya, W. W.: Baseflow and lowflow of catchments covered by various old teak forest areas, J. Degrad. Min. Lands Manage, 6, 1609, https://doi.org/10.15243/JDMLM.2019.062.1609, 2019.
Bicknell, B., Imhoff, J., Kittle, J., Donigian, A., and Johanson, R. C.:
Hydrological simulation program–Fortran (HSPF): User's manual for release 12, US Environmental Protection Agency, National Exposure Research
Laboratory, Athens, GA, https://www.casqa.org/sites/default/files/hspf-12.pdf (last access: 4 April 2021), 2001.
Bieger, K., Hörmann, G., and Fohrer, N.: Simulation of streamflow and
sediment with the soil and water assessment tool in a data scarce catchment
in the three gorges region, China, J. Environ. Qual., 43, 37–45,
https://doi.org/10.2134/jeq2011.0383, 2014.
Boongaling, C. G. K., Faustino-Eslava, D. V., and Lansigan, F. P.: Modeling
land use change impacts on hydrology and the use of landscape metrics as tools for watershed management: The case of an ungauged catchment in the
Philippines, Land Use Policy, 72, 116–128, https://doi.org/10.1016/j.landusepol.2017.12.042, 2018.
Dickhaut, W.: Fließgewässerrenaturierung Heute–Forschung zu Effizienz und Umsetzungspraxis – Abschlussbericht, Hochschule für
angewandte Wissenschaften, Hamburg, http://www.fischartenatlas.de/cms/images/stories/09a_Lebensraeume/Fliessgewaesser/SCHWARK_etal_2005_Fliessgewaesserrenaturierung_heute_Effizienz_Umsetzungspraxis_BMBF-Abschlussbericht.pdf (last access: 6 March 2020), 2005.
Ding, J., Jiang, Y., Liu, Q., Hou, Z., Liao, J., Fu, L., and Peng, Q.:
Influences of the land use pattern on water quality in low-order streams of
the Dongjiang River basin, China: a multi-scale analysis, Sci. Total Environ., 551, 205–216, https://doi.org/10.1016/j.scitotenv.2016.01.162, 2016.
DWD – Deutscher Wetterdienst: Precipitation data 1990–2019, Precipitation
stations Haale, Padenstedt, Nettelsee and Itzehoe, Climate data 1990–2019,
Climate station Pony Padenstedt, DWD [data set],
https://opendata.dwd.de/climate_environment/CDC/ (last access: July 2020), 2020a.
DWD – Deutscher Wetterdienst: Climate data 1990–2019, Climate station Pony
Padenstedt, https://opendata.dwd.de/climate_environment/CDC/ (last access: July 2020), 2020b.
Deutsches Einheitsverfahren: Selected Methods of Water Analysis, Bd. I, II. VEB, Gustav Fisher, Jena, 1997.
Farjad, B., Pooyandeh, M., Gupta, A., Motamedi, M., and Marceau, D.: Modelling interactions between land use, climate, and hydrology along with
stakeholders' negotiation for water resources management, Sustainability, 9,
2022, https://doi.org/10.3390/su9112022, 2017.
Ferreira, A., Fernandes, L. S., Cortes, R., and Pacheco, F.: Assessing
anthropogenic impacts on riverine ecosystems using nested partial least squares regression, Sci. Total Environ., 583, 466–477,
https://doi.org/10.1016/j.scitotenv.2017.01.106, 2017.
Fiener, P., Auerswald, K., and Van Oost, K.: Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments – A review, Earth-Sci. Rev., 106, 92–104, https://doi.org/10.1016/j.earscirev.2011.01.004, 2011.
Finnern, J.: Böden und Leitbodengesellschaften des Störeinzugsgebietes in Schleswig-Holstein: Vergesellschaftung und
Stoffaustragsprognose (K, Ca, Mg) mittels GIS, Schriftenreihe des Instituts für Pflanzenernährung und Bodenkunde der Universität Kiel, Kiel, 1997.
Forman, R. T.: Some general principles of landscape and regional ecology, Landsc. Ecol., 10, 133–142, https://doi.org/10.1007/BF00133027, 1995.
Gabriels, K., Willems, P., and Van Orshoven, J.: Performance evaluation of
spatially distributed, CN-based rainfall-runoff model configurations for
implementation in spatial land use optimization analyses, J. Hydrol., 602,
126872, https://doi.org/10.1016/j.jhydrol.2021.126872, 2021.
Gashaw, T., Tulu, T., Argaw, M., and Worqlul, A. W.: Modeling the hydrological impacts of land use/land cover changes in the Andassa watershed, Blue Nile Basin, Ethiopia, Sci. Total Environ., 619, 1394–1408,
https://doi.org/10.1016/j.scitotenv.2017.11.191, 2018.
Gémesi, Z., Downing, J. A., Cruse, R. M., and Anderson, P. F.: Effects
of watershed configuration and composition on downstream lake water quality,
J. Environ. Qual., 40, 517–527, https://doi.org/10.2134/jeq2010.0133, 2011.
Gessner, J., Spratte, S., and Kirschbaum, F.: Störe für die Stör – Wem hilft ein lebendes Fossil, Steinburger Jahrbuch, 54, 247–273, 2010.
Ghimire, C. P., Bruijnzeel, L. A., Lubczynski, M. W., Ravelona, M., Zwartendijk, B. W., and van Meerveld, H. I.: Measurement and modeling of
rainfall interception by two differently aged secondary forests in upland
eastern Madagascar, J. Hydrol., 545, 212–225,
https://doi.org/10.1016/j.jhydrol.2016.10.032, 2017.
Gleick, P. H.: A look at twenty-first century water resources development,
Water Int., 25, 127–138, https://doi.org/10.1080/02508060008686804, 2000.
Goldewijk, K. K. and Ramankutty, N.: Land cover change over the last three
centuries due to human activities: The availability of new global data sets,
Geo J., 61, 335–344, https://doi.org/10.1007/s10708-004-5050-z, 2004.
Gu, D., Zhang, Y., Fu, J., and Zhang, X.: The landscape pattern characteristics of coastal wetlands in Jiaozhou Bay under the impact of human activities, Environ. Monit. Assess., 124, 361–370, https://doi.org/10.1007/s10661-006-9232-7, 2007.
Guse, B., Reusser, D. E., and Fohrer, N.: How to improve the representation of hydrological processes in SWAT for a lowland catchment–temporal analysis of parameter sensitivity and model performance, Hydrol. Process., 28, 2651–2670, https://doi.org/10.1002/hyp.9777, 2014.
Guse, B., Kiesel, J., Pfannerstill, M., and Fohrer, N.: Assessing parameter identifiability for multiple performance criteria to constrain model parameters, Hydrolog. Sci. J., 65, 1158–1172, https://doi.org/10.1080/02626667.2020.1734204, 2020.
Haas, M. B., Guse, B., Pfannerstill, M., and Fohrer, N.: A joined multi-metric calibration of river discharge and nitrate loads with different
performance measures, J. Hydrol., 536, 534–545, https://doi.org/10.1016/j.jhydrol.2016.03.001, 2016.
Haas, M. B., Guse, B., and Fohrer, N.: Assessing the impacts of Best Management Practices on nitrate pollution in an agricultural dominated lowland catchment considering environmental protection versus economic
development, J. Environ. Manage., 196, 347–364, https://doi.org/10.1016/j.jenvman.2017.02.060, 2017.
Haidary, A., Amiri, B. J., Adamowski, J., Fohrer, N., and Nakane, K.: Assessing the impacts of four land use types on the water quality of wetlands in Japan, Water Resour. Manage., 27, 2217–2229, https://doi.org/10.1007/s11269-013-0284-5, 2013.
Hargis, C. D., Bissonette, J. A., and David, J. L.: The behavior of landscape metrics commonly used in the study of habitat fragmentation, Landsc. Ecol., 13, 167–186, 1998.
Hatano, R., Nagumo, T., Hata, H., and Kuramochi, K.: Impact of nitrogen cycling on stream water quality in a basin associated with forest, grassland, and animal husbandry, Hokkaido, Japan, Ecol. Eng., 24, 509–515,
https://doi.org/10.1016/j.ecoleng.2005.01.011, 2005.
Hesselbarth, M. H., Sciaini, M., With, K. A., Wiegand, K., and Nowosad, J.:
landscapemetrics: An open-source R tool to calculate landscape metrics,
Ecography, 42, 1648–1657, https://doi.org/10.1111/ecog.04617, 2019.
Idrissou, M., Diekkrüger, B., Tischbein, B., Op de Hipt, F., Näschen, K., Poméon, T., Yira, Y., and Ibrahim, B.: Modeling the Impact of Climate and Land Use/Land Cover Change on Water Availability in an Inland Valley Catchment in Burkina Faso, Hydrology, 9, 12, https://doi.org/10.3390/hydrology9010012, 2022.
Jones, K. B., Neale, A. C., Nash, M. S., Van Remortel, R. D., Wickham, J. D., Riitters, K. H., and O'neill, R. V.: Predicting nutrient and sediment loadings to streams from landscape metrics: a multiple watershed study from the United States Mid-Atlantic Region, Landsc. Ecol., 16, 301–312,
https://doi.org/10.1023/A:1011175013278, 2001.
Kändler, M., Blechinger, K., Seidler, C., Pavlů, V., Šanda, M.,
Dostál, T., Krása, J., Vitvar, T., and Štich, M.: Impact of land
use on water quality in the upper Nisa catchment in the Czech Republic and
in Germany, Sci. Total Environ., 586, 1316–1325,
https://doi.org/10.1016/j.scitotenv.2016.10.221, 2017.
Kiesel, J., Schmalz, B., and Fohrer, N.: SEPAL – a simple GIS-based tool to
estimate sediment pathways in lowland catchments, Adv. Geosci., 21, 25–32,
https://doi.org/10.5194/adgeo-21-25-2009, 2009.
KTBL: Kuratorium für Technik und Bauwesen in der Landwirtschaft, Betriebsplanung Landwirtschaft 1995/1996 and 2008/2009, 14. and 21. Edn.,
KTBL, Darmstadt, ISBN 9783784319346, ISBN 9783939371663, 1995 and 2008.
Kucheryavskiy, S.: mdatools – R package for chemometrics, Chemom. Intel.
Lab. Syst., 198, 103937, https://doi.org/10.1016/j.chemolab.2020.103937, 2020.
Kühling, I.: Modellierung und räumliche Analyse der Phosphateintragspfade im Einzugsgebiet eines norddeutschen Tieflandbaches,
Master thesis, Christian-Albrechts-University Kiel, Kiel, Germany, 2011.
Kumar, S., Getirana, A., Libonati, R., Hain, C., Mahanama, S., and Andela, N.: Changes in land use enhance the sensitivity of tropical ecosystems to
fire-climate extremes, Sci. Rep., 12, 1–11, https://doi.org/10.1038/s41598-022-05130-0, 2022.
Lam, Q., Schmalz, B., and Fohrer, N.: Modelling point and diffuse source
pollution of nitrate in a rural lowland catchment using the SWAT model, Agr. Water Manage., 97, 317–325, https://doi.org/10.1016/j.agwat.2009.10.004, 2010.
Lam, Q., Schmalz, B., and Fohrer, N.: Assessing the spatial and temporal
variations of water quality in lowland areas, Northern Germany, J. Hydrol.,
438, 137–147, https://doi.org/10.1016/j.jhydrol.2012.03.011, 2012.
Lei, C., Wagner, P. D., and Fohrer, N.: Identifying the most important spatially distributed variables for explaining land use patterns in a rural
lowland catchment in Germany, J. Geogr. Sci., 29, 1788–1806,
https://doi.org/10.1007/s11442-019-1690-2, 2019.
Lei, C., Wagner, P. D., and Fohrer, N.: Effects of land cover, topography, and soil on stream water quality at multiple spatial and seasonal scales in a German lowland catchment, Ecol. Indic., 120, 106940, https://doi.org/10.1016/j.ecolind.2020.106940, 2021.
Li, G., Zhang, F., Jing, Y., Liu, Y., and Sun, G.: Response of evapotranspiration to changes in land use and land cover and climate in China during 2001–2013, Sci. Total Environ., 596, 256–265,
https://doi.org/10.1016/j.scitotenv.2017.04.080, 2017.
Li, S., Gu, S., Liu, W., Han, H., and Zhang, Q.: Water quality in relation
to land use and land cover in the upper Han River Basin, China, Catena, 75,
216–222, https://doi.org/10.1016/j.catena.2008.06.005, 2008.
LKN: Landesbetrieb für Küstenschutz, Nationalpark und Meeresschutz
Schleswig-Holstein, Discharge data from gauges Padenstedt (https://www.umweltdaten.landsh.de/pegel/jsp/pegel.jsp?gui=ganglinie&thema=q&mstnr=114200, last access: 3 April 2020), Sarlhusen (https://www.umweltdaten.landsh.de/pegel/jsp/pegel.jsp?gui=ganglinie&thema=q&mstnr=114131, last access: 25 March 2020) and
Willenscharen https://www.umweltdaten.landsh.de/pegel/jsp/pegel.jsp?gui=ganglinie&thema=q&mstnr=114135, last access: 25 March 2020), 2020a.
LKN: Landesbetrieb für Küstenschutz, Nationalpark und Meeresschutz Schleswig-Holstein, Discharge data, http://www.umweltdaten.landsh.de (last access: 3 April 2020), 2020b.
Lu, Y., Song, S., Wang, R., Liu, Z., Meng, J., Sweetman, A. J., Jenkins, A.,
Ferrier, R. C., Li, H., and Luo, W.: Impacts of soil and water pollution on
food safety and health risks in China, Environ. Int., 77, 5–15,
https://doi.org/10.1016/j.envint.2014.12.010, 2015.
LvermA: Digitales Geländenmodell (ATKIS-DGM LiDAR), Gitterweite 5×5 m, Land survey office, Schleswig-Holstein, Kiel, Germany, 2008.
LWK: Landwirtschaftskammer Schleswig-Holstein. Richtwerte für die
Düngung 1991 and 2011, 13. and 21 Edn., LWK, Rendsburg, 1991 and 2011.
Maranguit, D., Guillaume, T., and Kuzyakov, Y.: Land-use change affects phosphorus fractions in highly weathered tropical soils, Catena, 149, 385–393, https://doi.org/10.1016/j.catena.2016.10.010, 2017.
Mevik, B.-H., Wehrens, R., and Liland, K. H.: pls: Partial least squares and
principal component regression, R package version 2, http://CRAN.R-project.org/package=pls, last access: 20 December 2020.
Mirghaed, F. A., Souri, B., Mohammadzadeh, M., Salmanmahiny, A., and Mirkarimi, S. H.: Evaluation of the relationship between soil erosion and
landscape metrics across Gorgan Watershed in northern Iran, Environ. Monit.
Assess., 190, 1–14, https://doi.org/10.1007/s10661-018-7040-5, 2018.
Monaghan, R., Wilcock, R., Smith, L., Tikkisetty, B., Thorrold, B., and
Costall, D.: Linkages between land management activities and water quality
in an intensively farmed catchment in southern New Zealand, Agr. Ecosyst.
Environ., 118, 211–222, https://doi.org/10.1016/j.agee.2006.05.016, 2007.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R.
D., and Veith, T. L.: Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, T. ASABE, 50, 885–900, https://doi.org/10.13031/2013.23153, 2007.
Nafi'Shehab, Z., Jamil, N. R., Aris, A. Z., and Shafie, N. S.: Spatial variation impact of landscape patterns and land use on water quality across
an urbanized watershed in Bentong, Malaysia, Ecol. Indic., 122, 107254,
https://doi.org/10.1016/j.ecolind.2020.107254, 2021.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., and Williams, J. R.: Soil and
water assessment tool theoretical documentation version 2009, Texas Water
Resources Institute, https://swat.tamu.edu/media/99192/swat2009-theory.pdf (last access: 1 January 2019), 2011.
Noe, G. B., Hupp, C. R., and Rybicki, N. B.: Hydrogeomorphology influences
soil nitrogen and phosphorus mineralization in floodplain wetlands, Ecosystems, 16, 75–94, https://doi.org/10.1007/s10021-012-9597-0, 2013.
Onderka, M., Wrede, S., Rodný, M., Pfister, L., Hoffmann, L., and Krein,
A.: Hydrogeologic and landscape controls of dissolved inorganic nitrogen (DIN) and dissolved silica (DSi) fluxes in heterogeneous catchments, J. Hydrol., 450, 36–47, https://doi.org/10.1016/j.jhydrol.2012.05.035, 2012.
Oppelt, N., Rathjens, H., and Dörnhöfer, K.: Integration of land cover data into the open source model SWAT, in: First Sentinel-2 Preparatory
Symposium, April 2012, Frascati, Italy, 23–27, ESA SP-707,
https://www.researchgate.net/publication/259632792 (last access: 2 June 2020), 2012.
Peel, M. C., McMahon, T. A., and Finlayson, B. L.: Vegetation impact on mean
annual evapotranspiration at a global catchment scale, Water Resour. Res., 46, W09508, https://doi.org/10.1029/2009WR008233, 2010.
Pfannerstill, M., Guse, B., and Fohrer, N.: A multi-storage groundwater
concept for the SWAT model to emphasize nonlinear groundwater dynamics in
lowland catchments, Hydrol. Process., 28, 5599–5612, https://doi.org/10.1002/hyp.10062, 2014.
Pott, C. A.: Integrated monitoring, assessment and modeling of nitrogen and
phosphorus pollution in a lowland catchment in Germany: a long-term study on
water quality, Christian-Albrechts Universität Kiel, Kiel, Germany, https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/dissertation_derivate_00005297/Dissertation_Pott_AGRAR_29.1.14.pdf (last access: 7 July 2018), 2014.
Pott, C. A. and Fohrer, N.: Best management practices to reduce nitrate pollution in a rural watershed in Germany, Rev. Ambiente Agua, 12, 888–901,
https://doi.org/10.4136/ambi-agua.2099, 2017a.
Pott, C. A. and Fohrer, N.: Hydrological modeling in a rural catchment in
Germany, Appl. Res. Agrotech., 10, 7–16, 2017b.
Rathjens, H., Dörnhöfer, K., and Oppelt, N.: IRSeL – An approach to
enhance continuity and accuracy of remotely sensed land cover data, Int. J.
Appl. Earth Obs. Geoinf., 31, 1–12, https://doi.org/10.1016/j.jag.2014.02.010, 2014.
Riitters, K.: Pattern metrics for a transdisciplinary landscape ecology,
Landsc. Ecol., 34, 2057–2063, https://doi.org/10.1007/s10980-018-0755-4, 2019.
Ripl, W., Janssen, T., Hildmann, C., and Otto, I.: Entwicklung eines Land-Gewässer Bewirtschaftungskonzeptes zur Senkung von Stoffverlusten
an Gewässer (Stör-Projekt I und II), Forschungsbericht, TU Berlin,
Berlin, http://www.aquaterra-berlin.de/images/stories/stoer_endber01/Ripl-et-al_1996_Stoer-Endbericht_150dpi_mCmP_.pdf (last access: 2 May 2020), 1996.
Shawul, A. A., Chakma, S., and Melesse, A. M.: The response of water balance
components to land cover change based on hydrologic modeling and partial
least squares regression (PLSR) analysis in the Upper Awash Basin, J. Hydrol.: Reg. Stud., 26, 100640, https://doi.org/10.1016/j.ejrh.2019.100640, 2019.
Shi, P.-J., Yuan, Y., Zheng, J., Wang, J.-A., Ge, Y., and Qiu, G.-Y.: The
effect of land use/cover change on surface runoff in Shenzhen region, China,
Catena, 69, 31–35, https://doi.org/10.1016/j.catena.2006.04.015, 2007.
Shi, Z., Ai, L., Li, X., Huang, X., Wu, G., and Liao, W.: Partial least-squares regression for linking land-cover patterns to soil erosion and
sediment yield in watersheds, J. Hydrol., 498, 165–176,
https://doi.org/10.1016/j.jhydrol.2013.06.031, 2013.
Shrestha, S., Bhatta, B., Shrestha, M., and Shrestha, P. K.: Integrated
assessment of the climate and landuse change impact on hydrology and water
quality in the Songkhram River Basin, Thailand, Sci. Total Environ., 643,
1610–1622, https://doi.org/10.1016/j.scitotenv.2018.06.306, 2018.
Shuster, W. D., Bonta, J., Thurston, H., Warnemuende, E., and Smith, D.:
Impacts of impervious surface on watershed hydrology: A review, Urban Water
J., 2, 263–275, https://doi.org/10.1080/15730620500386529, 2005.
Singh, H., Singh, D., Singh, S. K., and Shukla, D.: Assessment of river water quality and ecological diversity through multivariate statistical techniques, and earth observation dataset of rivers Ghaghara and Gandak, India, Int. J. River Basin Manage., 15, 347–360, https://doi.org/10.1080/15715124.2017.1300159, 2017.
Soetaert, K. and Petzoldt, T.: Inverse modelling, sensitivity and Monte Carlo analysis in R using package FME, J. Stat. Softw, 33, 1–28, https://doi.org/10.18637/jss.v033.i03, 2010.
Song, S., Schmalz, B., and Fohrer, N.: Simulation, quantification and comparison of in-channel and floodplain sediment processes in a lowland
area – A case study of the Upper Stör catchment in northern Germany,
Ecol. Indic., 57, 118–127, https://doi.org/10.1016/j.ecolind.2015.03.030, 2015.
Sood, A., Ghosh, S. K., and Upadhyay, P.: Impact of land cover change on surface runoff, in: Advances in Remote Sensing for Natural Resource Monitoring, edited by: Pandey, P. C. and Sharma, L. K., Wiley, 150–169, https://doi.org/10.1002/9781119616016.ch10, 2021.
Srinivasan, J. T. and Reddy, V. R.: Impact of irrigation water quality on
human health: A case study in India, Ecol. Econ., 68, 2800–2807,
https://doi.org/10.1016/j.ecolecon.2009.04.019, 2009.
Statistical Office Schleswig-Holstein: Statistiches Jahrbuch Schleswig-Holstein, Statistiches Amt für Hamburg und Schleswig-Holstein, Kiel, https://www.statistischebibliothek.de/mir/receive/SHSerie_mods_00000001 (last access: 20 July 2013), 1992–2013.
Taka, M., Sillanpää, N., Niemi, T., Warsta, L., Kokkonen, T., and
Setälä, H.: Heavy metals from heavy land use? Spatio-temporal patterns of urban runoff metal loads, Sci. Total Environ., 817, 152855,
https://doi.org/10.1016/j.scitotenv.2021.152855, 2022.
Tan, M. L., Gassman, P. W., Liang, J., and Haywood, J. M.: A review of
alternative climate products for SWAT modelling: Sources, assessment and future directions, Sci. Total Environ., 795, 148915,
https://doi.org/10.1016/j.scitotenv.2021.148915, 2021.
Tigabu, T. B., Wagner, P. D., Hörmann, G., and Fohrer, N.: Modeling the
spatio-temporal flow dynamics of groundwater-surface water interactions of the Lake Tana Basin, Upper Blue Nile, Ethiopia, Hydrol. Res., 51, 1537–1559,
https://doi.org/10.2166/nh.2020.046, 2020.
Uuemaa, E., Antrop, M., Roosaare, J., Marja, R., and Mander, Ü.: Landscape metrics and indices: an overview of their use in landscape research, Living Rev. Landscape Res., 3, 1–28, 2009.
Venohr, M.: Einträge und Abbau von Nährstoffen in Fließgewässern der oberen Stör, Diploma thesis,
Christian-Albrechts-Universität Kiel, Kiel, Germany, 2000.
Wagner, P., Kumar, S., and Schneider, K.: An assessment of land use change
impacts on the water resources of the Mula and Mutha Rivers catchment
upstream of Pune, India, Hydrol. Earth Syst. Sci., 17, 2233–2246,
https://doi.org/10.5194/hess-17-2233-2013, 2013.
Wagner, P. D. and Fohrer, N.: Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables, Environ. Model. Softw.,
115, 155–163, https://doi.org/10.1016/j.envsoft.2019.02.011, 2019.
Wagner, P. D. and Waske, B.: Importance of spatially distributed hydrologic
variables for land use change modeling, Environ. Model. Softw., 83, 245–254,
https://doi.org/10.1016/j.envsoft.2016.06.005, 2016.
Wagner, P. D., Bhallamudi, S. M., Narasimhan, B., Kantakumar, L. N., Sudheer, K., Kumar, S., Schneider, K., and Fiener, P.: Dynamic integration of land use changes in a hydrologic assessment of a rapidly developing Indian catchment, Sci. Total Environ., 539, 153–164, https://doi.org/10.1016/j.scitotenv.2015.08.148, 2016.
Wagner, P. D., Hoermann, G., Schmalz, B., and Fohrer, N.: Characterisation of the water and nutrient balance in the rural lowland catchment of the Kielstau, Hydrol. Wasserbewirtsch., 62, 145–158, 2018.
Wang, Q., Xu, Y., Xu, Y., Wu, L., Wang, Y., and Han, L.: Spatial hydrological responses to land use and land cover changes in a typical catchment of the Yangtze River Delta region, Catena, 170, 305–315, https://doi.org/10.1016/j.catena.2018.06.022, 2018.
Wang, W., Wu, X., Yin, C., and Xie, X.: Nutrition loss through surface
runoff from slope lands and its implications for agricultural management, Agr. Water Manage., 212, 226–231, https://doi.org/10.1016/j.agwat.2018.09.007, 2019.
Wei, W., Chen, L., Fu, B., Huang, Z., Wu, D., and Gui, L.: The effect of land uses and rainfall regimes on runoff and soil erosion in the semi-arid loess hilly area, China, J. Hydrol., 335, 247–258, https://doi.org/10.1016/j.jhydrol.2006.11.016, 2007.
Wigmosta, M. S., Vail, L. W., and Lettenmaier, D. P.: A distributed hydrology-vegetation model for complex terrain, Water Resour. Res., 30,
1665–1679, https://doi.org/10.1029/94WR00436, 1994.
Wijesekara, G., Gupta, A., Valeo, C., Hasbani, J.-G., Qiao, Y., Delaney, P.,
and Marceau, D.: Assessing the impact of future land-use changes on hydrological processes in the Elbow River watershed in southern Alberta,
Canada, J. Hydrol., 412, 220–232, https://doi.org/10.1016/j.jhydrol.2011.04.018, 2012.
Wold, S., Sjöström, M., and Eriksson, L.: PLS-regression: a basic tool of chemometrics, Chemom. Intel. Lab. Syst., 58, 109–130,
https://doi.org/10.1016/S0169-7439(01)00155-1, 2001.
Wu, J. and Lu, J.: Spatial scale effects of landscape metrics on stream water quality and their seasonal changes, Water Res., 191, 116811, https://doi.org/10.1016/j.watres.2021.116811, 2021.
Xu, S., Li, S.-L., Zhong, J., and Li, C.: Spatial scale effects of the variable relationships between landscape pattern and water quality: Example
from an agricultural karst river basin, Southwestern China, Agr. Ecosyst.
Environ., 300, 106999, https://doi.org/10.1016/j.agee.2020.106999, 2020.
Yan, B., Fang, N., Zhang, P., and Shi, Z.: Impacts of land use change on
watershed streamflow and sediment yield: An assessment using hydrologic
modelling and partial least squares regression, J. Hydrol., 484, 26–37,
https://doi.org/10.1016/j.jhydrol.2013.01.008, 2013.
Yu, D., Li, X., Cao, Q., Hao, R., and Qiao, J.: Impacts of climate variability and landscape pattern change on evapotranspiration in a grassland landscape mosaic, Hydrol. Process., 34, 1035–1051, https://doi.org/10.1002/hyp.13642, 2020.
Zeileis, A. and Grothendieck, G.: zoo: S3 infrastructure for regular and irregular time series, J. Stat. Softw., 14, 1–27, https://doi.org/10.18637/jss.v014.i06, 2005.
Zhang, W., Li, H., Hyndman, D. W., Diao, Y., Geng, J., and Pueppke, S. G.:
Water quality trends under rapid agricultural expansion and enhanced in-stream interception in a hilly watershed of Eastern China, Environ. Res.
Lett., 15, 084030, https://doi.org/10.1088/1748-9326/ab8981, 2020a.
Zhang, W., Li, H., Pueppke, S. G., Diao, Y., Nie, X., Geng, J., Chen, D.,
and Pang, J.: Nutrient loss is sensitive to land cover changes and slope
gradients of agricultural hillsides: evidence from four contrasting pond
systems in a hilly catchment, Agr. Water Manage., 237, 106165,
https://doi.org/10.1016/j.agwat.2020.106165, 2020b.
Zhang, Y.-K. and Schilling, K.: Increasing streamflow and baseflow in Mississippi River since the 1940s: Effect of land use change, J. Hydrol., 324, 412–422, https://doi.org/10.1016/j.jhydrol.2005.09.033, 2006.
Zambrano-Bigiarini, M.: hydroGOF: Goodness-of-fit functions for comparison of simulated and observed hydrological time series, R package version 0.4-0, https://github.com/hzambran/hydroGOF, last access: 8 July 2020.
Short summary
We presented an integrated approach to hydrologic modeling and partial least squares regression quantifying land use change impacts on water and nutrient balance over 3 decades. Results highlight that most variations (70 %–80 %) in water quantity and quality variables are explained by changes in land use class-specific areas and landscape metrics. Arable land influences water quantity and quality the most. The study provides insights on water resources management in rural lowland catchments.
We presented an integrated approach to hydrologic modeling and partial least squares regression...
