Articles | Volume 18, issue 2
Research article 12 Feb 2014
Research article | 12 Feb 2014
Using the SWAT model to improve process descriptions and define hydrologic partitioning in South Korea
C. L. Shope et al.
B. Seo, C. Bogner, P. Poppenborg, E. Martin, M. Hoffmeister, M. Jun, T. Koellner, B. Reineking, C. L. Shope, and J. Tenhunen
Earth Syst. Sci. Data, 6, 339–352,
Katharina Blaurock, Burkhard Beudert, Benjamin S. Gilfedder, Jan H. Fleckenstein, Stefan Peiffer, and Luisa Hopp
Hydrol. Earth Syst. Sci. Discuss.,
Revised manuscript accepted for HESSShort summary
Dissolved organic carbon (DOC) is an important part of the global carbon cycle with regards to carbon storage, greenhouse gas emissions and drinking water treatment. In this study, we compared DOC export of a small, forested catchment during precipitation events after dry and wet preconditions. We found that the DOC export from areas that are usually important for DOC export was inhibited after long drought periods.
Wei Xue, Seungtaek Jeong, Jonghan Ko, and John Tenhunen
Biogeosciences, 14, 1315–1332,
B. Seo, C. Bogner, P. Poppenborg, E. Martin, M. Hoffmeister, M. Jun, T. Koellner, B. Reineking, C. L. Shope, and J. Tenhunen
Earth Syst. Sci. Data, 6, 339–352,
K. Meusburger, L. Mabit, J.-H. Park, T. Sandor, and C. Alewell
Biogeosciences, 10, 5627–5638,
C. E. Oldham, D. E. Farrow, and S. Peiffer
Hydrol. Earth Syst. Sci., 17, 1133–1148,
S. Strohmeier, K.-H. Knorr, M. Reichert, S. Frei, J. H. Fleckenstein, S. Peiffer, and E. Matzner
Biogeosciences, 10, 905–916,
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approachesHydrologically informed machine learning for rainfall–runoff modelling: towards distributed modellingDevelopment and evaluation of 0.05° terrestrial water storage estimates using Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and assimilation of GRACE dataConditioning ensemble streamflow prediction with the North Atlantic Oscillation improves skill at longer lead timesTechnical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspectiveA new fractal-theory-based criterion for hydrological model calibrationThe value of water isotope data on improving process understanding in a glacierized catchment on the Tibetan PlateauMachine learning deciphers CO2 sequestration and subsurface flowpaths from stream chemistryFuture changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in AustriaUsing hydrologic landscape classification and climatic time series to assess hydrologic vulnerability of the western U.S. to climateEvaluation of random forests for short-term daily streamflow forecasting in rainfall- and snowmelt-driven watershedsPerformance of automated methods for flash flood inundation mapping: a comparison of a digital terrain model (DTM) filling and two hydrodynamic methodsA novel method for cold-region streamflow hydrograph separation using GRACE satellite observationsA Bayesian approach to understanding the key factors influencing temporal variability in stream water quality – a case study in the Great Barrier Reef catchmentsProjected changes in Rhine River flood seasonality under global warmingTechnical note: Diagnostic efficiency – specific evaluation of model performanceHow catchment characteristics influence hydrological pathways and travel times in a boreal landscapeRainfall–runoff prediction at multiple timescales with a single Long Short-Term Memory networkUser-oriented hydrological indices for early warning systems with validation using post-event surveys: flood case studies in the Central Apennine DistrictSpace–time variability in soil moisture droughts in the Himalayan regionTechnical Note – RAT: a Robustness Assessment Test for calibrated and uncalibrated hydrological modelsA multi-sourced assessment of the spatiotemporal dynamics of soil moisture in the MARINE flash flood modelClimate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluationImpact of karst areas on runoff generation, lateral flow and interbasin groundwater flow at the storm-event timescaleTriple oxygen isotope systematics of evaporation and mixing processes in a dynamic desert lake systemIrrigation, damming, and streamflow fluctuations of the Yellow RiverBehind the scenes of streamflow model performanceLearning from satellite observations: increased understanding of catchment processes through stepwise model improvementDiagnosis toward predicting mean annual runoff in ungauged basinsThe era of infiltrationA time-varying parameter estimation approach using split-sample calibration based on dynamic programmingA history of TOPMODELProgressive water deficits during multiyear droughts in basins with long hydrological memory in ChileA comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functionsThe role and value of distributed precipitation data in hydrological modelsFlood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated modelsEffects of spatial resolution of terrain models on modelled discharge and soil loss in Oaxaca, MexicoA Robust calibration/validation protocol of a hydrological model using hidden Markov statesFlexible vector-based spatial configurations in land modelsTwo-stage variational mode decomposition and support vector regression for streamflow forecastingPredicting probabilities of streamflow intermittency across a temperate mesoscale catchmentImportance of the informative content in the study area when regionalising rainfall-runoff model parameters: the role of nested catchments and gauging station densityWhich rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over EuropeAssimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions: the Murray–Darling basin in Australia as a test caseFrequency and magnitude variability of Yalu River flooding: numerical analyses for the last 1000 yearsAssessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central EuropeAdaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elementsClimate elasticity of evapotranspiration shifts the water balance of Mediterranean climates during multi-year droughtsFuture streamflow regime changes in the United States: assessment using functional classificationRisks and opportunities for a Swiss hydroelectricity company in a changing climateSurvival of the Qaidam mega-lake system under mid-Pliocene climates and its restoration under future climates
Herath Mudiyanselage Viraj Vidura Herath, Jayashree Chadalawada, and Vladan Babovic
Hydrol. Earth Syst. Sci., 25, 4373–4401,Short summary
Existing hydrological knowledge has been integrated with genetic programming based on a machine learning algorithm (MIKA-SHA) to induce readily interpretable distributed rainfall–runoff models. At present, the model building components of two flexible modelling frameworks (FUSE and SUPERFLEX) represent the elements of hydrological knowledge. The proposed toolkit captures spatial variabilities and automatically induces semi-distributed rainfall–runoff models without any explicit user selections.
Natthachet Tangdamrongsub, Michael F. Jasinski, and Peter J. Shellito
Hydrol. Earth Syst. Sci., 25, 4185–4208,Short summary
Accurate estimation of terrestrial water storage (TWS) is essential for reliable water resource assessments. TWS can be estimated from the Community Atmosphere–Biosphere Land Exchange model (CABLE), but the resolution is limited to 0.5°. We reconfigure CABLE to improve TWS spatial details from 0.5° to 0.05°. GRACE satellite data are assimilated into CABLE to improve TWS accuracy. Our workflow relies only on publicly accessible data, allowing reproduction of 0.05° TWS in any region.
Seán Donegan, Conor Murphy, Shaun Harrigan, Ciaran Broderick, Dáire Foran Quinn, Saeed Golian, Jeff Knight, Tom Matthews, Christel Prudhomme, Adam A. Scaife, Nicky Stringer, and Robert L. Wilby
Hydrol. Earth Syst. Sci., 25, 4159–4183,Short summary
We benchmarked the skill of ensemble streamflow prediction (ESP) for a diverse sample of 46 Irish catchments. We found that ESP is skilful in the majority of catchments up to several months ahead. However, the level of skill was strongly dependent on lead time, initialisation month, and individual catchment location and storage properties. We also conditioned ESP with the winter North Atlantic Oscillation and show that improvements in forecast skill, reliability, and discrimination are possible.
Paul C. Astagneau, Guillaume Thirel, Olivier Delaigue, Joseph H. A. Guillaume, Juraj Parajka, Claudia C. Brauer, Alberto Viglione, Wouter Buytaert, and Keith J. Beven
Hydrol. Earth Syst. Sci., 25, 3937–3973,Short summary
The R programming language has become an important tool for many applications in hydrology. In this study, we provide an analysis of some of the R tools providing hydrological models. In total, two aspects are uniformly investigated, namely the conceptualisation of the models and the practicality of their implementation for end-users. These comparisons aim at easing the choice of R tools for users and at improving their usability for hydrology modelling to support more transferable research.
Zhixu Bai, Yao Wu, Di Ma, and Yue-Ping Xu
Hydrol. Earth Syst. Sci., 25, 3675–3690,Short summary
To test our hypothesis that the fractal dimensions of streamflow series can be used to improve the calibration of hydrological models, we designed the E–RD efficiency ratio of fractal dimensions strategy and examined its usability in the calibration of lumped models. The results reveal that, in most aspects, introducing RD into model calibration makes the simulation of streamflow components more reasonable. Also, pursuing a better RD during calibration leads to only a minor decrease in E.
Yi Nan, Lide Tian, Zhihua He, Fuqiang Tian, and Lili Shao
Hydrol. Earth Syst. Sci., 25, 3653–3673,Short summary
This study integrated a water isotope module into the hydrological model THREW. The isotope-aided model was subsequently applied for process understanding in the glacierized watershed of Karuxung river on the Tibetan Plateau. The model was used to quantify the contribution of runoff component and estimate the water travel time in the catchment. Model uncertainties were significantly constrained by using additional isotopic data, improving the process understanding in the catchment.
Andrew R. Shaughnessy, Xin Gu, Tao Wen, and Susan L. Brantley
Hydrol. Earth Syst. Sci., 25, 3397–3409,Short summary
It is often difficult to determine the sources of solutes in streams and how much each source contributes. We developed a new method of unmixing stream chemistry via machine learning. We found that sulfate in three watersheds is related to groundwater flowpaths. Our results emphasize that acid rain reduces a watershed's capacity to remove CO2 from the atmosphere, a key geological control on climate. Our method will help scientists unmix stream chemistry in watersheds where sources are unknown.
Sarah Hanus, Markus Hrachowitz, Harry Zekollari, Gerrit Schoups, Miren Vizcaino, and Roland Kaitna
Hydrol. Earth Syst. Sci., 25, 3429–3453,Short summary
This study investigates the effects of climate change on runoff patterns in six Alpine catchments in Austria at the end of the 21st century. Our results indicate a substantial shift to earlier occurrences in annual maximum and minimum flows in high-elevation catchments. Magnitudes of annual extremes are projected to increase under a moderate emission scenario in all catchments. Changes are generally more pronounced for high-elevation catchments.
Chas E. Jones Jr., Scott G. Leibowitz, Keith A. Sawicz, Randy L. Comeleo, Laurel E. Stratton, Philip E. Morefield, and Christopher P. Weaver
Hydrol. Earth Syst. Sci., 25, 3179–3206,Short summary
Our research assesses the hydrologic vulnerability of the western U.S. to climate by classifying the landscape based on its physical and climatic characteristics and analyzing climate data. We also apply the approach to examine the vulnerabilities of case studies in the ski and wine industries. We show that the west and its ski areas are vulnerable to changes in snow, while vineyard vulnerability varies. This allows us to consider climatic impacts across landscapes, industries, and stakeholders.
Leo Triet Pham, Lifeng Luo, and Andrew Finley
Hydrol. Earth Syst. Sci., 25, 2997–3015,Short summary
Model evaluation metrics suggest that RF performs better in snowmelt-driven watersheds. The largest improvements in forecasts compared to benchmark models are found among rainfall-driven watersheds. RF performance deteriorates with increases in catchment slope and soil sandiness. We note disagreement between two popular measures of RF variable importance and recommend jointly considering these measures with the physical processes under study.
Nabil Hocini, Olivier Payrastre, François Bourgin, Eric Gaume, Philippe Davy, Dimitri Lague, Lea Poinsignon, and Frederic Pons
Hydrol. Earth Syst. Sci., 25, 2979–2995,Short summary
Efficient flood mapping methods are needed for large-scale, comprehensive identification of flash flood inundation hazards caused by small upstream rivers. An evaluation of three automated mapping approaches of increasing complexity, i.e., a digital terrain model (DTM) filling and two 1D–2D hydrodynamic approaches, is presented based on three major flash floods in southeastern France. The results illustrate some limits of the DTM filling method and the value of using a 2D hydrodynamic approach.
Shusen Wang, Junhua Li, and Hazen A. J. Russell
Hydrol. Earth Syst. Sci., 25, 2649–2662,Short summary
Separating river flow into baseflow and surface runoff provides useful information for hydrology and climate studies, but traditional methods have critical limitations in the lack of physics, identifying snowmelt runoff and watershed size. This study developed a novel model using the GRACE satellite observations to address these limitations. It also includes estimates for watershed hydraulic conductivity and drainable water storage, which help assess aquifer properties and water resources.
Shuci Liu, Dongryeol Ryu, J. Angus Webb, Anna Lintern, Danlu Guo, David Waters, and Andrew W. Western
Hydrol. Earth Syst. Sci., 25, 2663–2683,Short summary
Riverine water quality can change markedly at one particular location. This study developed predictive models to represent the temporal variation in stream water quality across the Great Barrier Reef catchments, Australia. The model structures were informed by a data-driven approach, which is useful for identifying important factors determining temporal changes in water quality and, in turn, providing critical information for developing management strategies.
Erwin Rottler, Axel Bronstert, Gerd Bürger, and Oldrich Rakovec
Hydrol. Earth Syst. Sci., 25, 2353–2371,Short summary
The mesoscale hydrological model (mHM) forced with an ensemble of climate projection scenarios was used to assess potential future changes in flood seasonality in the Rhine River basin. Results indicate that future changes in flood characteristics are controlled by increases in precipitation sums and diminishing snowpacks. The decreases in snowmelt can counterbalance increasing precipitation, resulting in only small and transient changes in streamflow maxima.
Robin Schwemmle, Dominic Demand, and Markus Weiler
Hydrol. Earth Syst. Sci., 25, 2187–2198,Short summary
A better understanding of the reasons why model performance is unsatisfying represents a crucial part for meaningful model evaluation. We propose the novel diagnostic efficiency (DE) measure and diagnostic polar plots. The proposed evaluation approach provides a diagnostic tool for model developers and model users and facilitates interpretation of model performance.
Elin Jutebring Sterte, Fredrik Lidman, Emma Lindborg, Ylva Sjöberg, and Hjalmar Laudon
Hydrol. Earth Syst. Sci., 25, 2133–2158,Short summary
A numerical model was used to estimate annual and seasonal mean travel times across 14 long-term nested monitored catchments in the boreal region. The estimated travel times and young water fractions were consistent with observed variations of base cation concentration and stable water isotopes, δ18O. Soil type was the most important factor regulating the variation in mean travel times among sub-catchments, while the areal coverage of mires increased the young water fraction.
Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, and Sepp Hochreiter
Hydrol. Earth Syst. Sci., 25, 2045–2062,Short summary
We present multi-timescale Short-Term Memory (MTS-LSTM), a machine learning approach that predicts discharge at multiple timescales within one model. MTS-LSTM is significantly more accurate than the US National Water Model and computationally more efficient than an individual LSTM model per timescale. Further, MTS-LSTM can process different input variables at different timescales, which is important as the lead time of meteorological forecasts often depends on their temporal resolution.
Annalina Lombardi, Valentina Colaiuda, Marco Verdecchia, and Barbara Tomassetti
Hydrol. Earth Syst. Sci., 25, 1969–1992,Short summary
The paper presents a modelling approach for the assessment of extremes in the hydrological cycle at a multi-catchment scale. It describes two new hydrological stress indices, innovative instruments that could be used by Civil Protection operators, for flood mapping in early warning systems. The main advantage in using the proposed indices is the possibility of displaying hydrological-stress information over any geographical domain.
Santosh Nepal, Saurav Pradhananga, Narayan Kumar Shrestha, Sven Kralisch, Jayandra P. Shrestha, and Manfred Fink
Hydrol. Earth Syst. Sci., 25, 1761–1783,Short summary
This paper examines soil moisture drought in the central Himalayan region by applying a process-based hydrological model. Our results suggest that both the occurrence and severity of droughts have increased over the last 3 decades, especially in the winter and pre-monsoon seasons. The insights provided into the frequency, spatial coverage, and severity of the drought conditions can provide valuable inputs towards improved management of water resources and greater agricultural productivity.
Pierre Nicolle, Vazken Andréassian, Paul Royer-Gaspard, Charles Perrin, Guillaume Thirel, Laurent Coron, and Léonard Santos
Hydrol. Earth Syst. Sci. Discuss.,
Revised manuscript accepted for HESSShort summary
In this note, a new method (RAT) is proposed to assess the robustness of hydrological models. The RAT method is particularly interesting because it does not require multiple calibrations (it is therefore applicable to uncalibrated models) and it can be used to determine whether a hydrological model may be safely used for climate change impact studies. Success at the robustness assessment test is a necessary (but not sufficient) condition of model robustness.
Judith Eeckman, Hélène Roux, Audrey Douinot, Bertrand Bonan, and Clément Albergel
Hydrol. Earth Syst. Sci., 25, 1425–1446,Short summary
The risk of flash flood is of growing importance for populations, particularly in the Mediterranean area in the context of a changing climate. The representation of soil processes in models is a key factor for flash flood simulation. The importance of the various methods for soil moisture estimation are highlighted in this work. Local measurements from the field as well as data derived from satellite imagery can be used to assess the performance of model outputs.
Lieke Anna Melsen and Björn Guse
Hydrol. Earth Syst. Sci., 25, 1307–1332,Short summary
Certain hydrological processes become more or less relevant when the climate changes. This should also be visible in the models that are used for long-term predictions of river flow as a consequence of climate change. We investigated this using three different models. The change in relevance should be reflected in how the parameters of the models are determined. In the different models, different processes become more relevant in the future: they disagree with each other.
Martin Le Mesnil, Roger Moussa, Jean-Baptiste Charlier, and Yvan Caballero
Hydrol. Earth Syst. Sci., 25, 1259–1282,Short summary
We present an innovative approach consisting of the statistical analysis and comparison of 15 hydrological descriptors, characterizing catchment response to rainfall events. The distribution of these descriptors is analysed according to the occurrence of karst areas inside 108 catchments. It shows that karst impacts on storm events mainly result in river losses and that interbasin groundwater flows can represent a significant part of the catchment water budget ah the event timescale.
Claudia Voigt, Daniel Herwartz, Cristina Dorador, and Michael Staubwasser
Hydrol. Earth Syst. Sci., 25, 1211–1228,Short summary
Evaporation trends in the stable isotope composition (18O/16O, 17O/16O, 2H/1H) of throughflow ponds in a hydrologically complex and seasonally dynamic lake system can be reliably predicted by the classic Craig–Gordon isotope evaporation model. We demonstrate that the novel 17O-excess parameter is capable of resolving different types of evaporation with and without recharge and of identifying mixing processes that cannot be resolved using the classic δ2H–δ18O system alone.
Zun Yin, Catherine Ottlé, Philippe Ciais, Feng Zhou, Xuhui Wang, Polcher Jan, Patrice Dumas, Shushi Peng, Laurent Li, Xudong Zhou, Yan Bo, Yi Xi, and Shilong Piao
Hydrol. Earth Syst. Sci., 25, 1133–1150,Short summary
We improved the irrigation module in a land surface model ORCHIDEE and developed a dam operation model with the aim to investigate how irrigation and dams affect the streamflow fluctuations of the Yellow River. Results show that irrigation mainly reduces the annual river flow. The dam operation, however, mainly affects streamflow variation. By considering two generic operation rules, flood control and base flow guarantee, our dam model can sustainably improve the simulation accuracy.
Laurène J. E. Bouaziz, Fabrizio Fenicia, Guillaume Thirel, Tanja de Boer-Euser, Joost Buitink, Claudia C. Brauer, Jan De Niel, Benjamin J. Dewals, Gilles Drogue, Benjamin Grelier, Lieke A. Melsen, Sotirios Moustakas, Jiri Nossent, Fernando Pereira, Eric Sprokkereef, Jasper Stam, Albrecht H. Weerts, Patrick Willems, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 1069–1095,Short summary
We quantify the differences in internal states and fluxes of 12 process-based models with similar streamflow performance and assess their plausibility using remotely sensed estimates of evaporation, snow cover, soil moisture and total storage anomalies. The dissimilarities in internal process representation imply that these models cannot all simultaneously be close to reality. Therefore, we invite modelers to evaluate their models using multiple variables and to rely on multi-model studies.
Petra Hulsman, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 957–982,Short summary
Satellite observations have increasingly been used for model calibration, while model structural developments largely rely on discharge data. For large river basins, this often results in poor representations of system internal processes. This study explores the combined use of satellite-based evaporation and total water storage data for model structural improvement and spatial–temporal model calibration for a large, semi-arid and data-scarce river system.
Yuan Gao, Lili Yao, Ni-Bin Chang, and Dingbao Wang
Hydrol. Earth Syst. Sci., 25, 945–956,Short summary
Mean annual runoff prediction is of great interest but still poses a challenge in ungauged basins. The purpose of this study is to diagnose the data requirement for predicting mean annual runoff in ungauged basins based on a water balance model, in which the effects of climate variability are explicitly represented. The performance of predicting mean annual runoff can be improved by employing better estimation of soil water storage capacity including the effects of soil, topography, and bedrock.
Hydrol. Earth Syst. Sci., 25, 851–866,Short summary
Inspired by a quotation from Howard Cook in 1946, this paper traces the evolution of the infiltration theory of runoff from the work of Robert Horton and LeRoy Sherman in the 1930s to the early digital computer models of the 1970s and 1980s. Reconsideration of the perceptual model for many catchments, partly as a result of the greater appreciation of the contribution of subsurface flows to the hydrograph indicated by tracer studies, suggests a reconsideration of hydrological nomenclature.
Xiaojing Zhang and Pan Liu
Hydrol. Earth Syst. Sci., 25, 711–733,Short summary
Rainfall–runoff models are useful tools for streamflow simulation. However, efforts are needed to investigate how their parameters vary in response to climate changes and human activities. Thus, this study proposes a new method for estimating time-varying parameters, by considering both simulation accuracy and parameter continuity. The results show the proposed method is effective for identifying temporal variations of parameters and can simultaneously provide good streamflow simulation.
Keith J. Beven, Mike J. Kirkby, Jim E. Freer, and Rob Lamb
Hydrol. Earth Syst. Sci., 25, 527–549,Short summary
The theory that forms the basis of TOPMODEL was first outlined by Mike Kirkby some 45 years ago. This paper recalls some of the early developments: the rejection of the first journal paper, the early days of digital terrain analysis, model calibration and validation, the various criticisms of the simplifying assumptions, and the relaxation of those assumptions in the dynamic forms of TOPMODEL, and it considers what we might do now with the benefit of hindsight.
Camila Alvarez-Garreton, Juan Pablo Boisier, René Garreaud, Jan Seibert, and Marc Vis
Hydrol. Earth Syst. Sci., 25, 429–446,Short summary
The megadrought experienced in Chile (2010–2020) has led to larger than expected water deficits. By analysing 106 basins with snow-/rainfall regimes, we relate such intensification with the hydrological memory of the basins, explained by snow and groundwater. Snow-dominated basins have larger memory and thus accumulate the effect of persistent precipitation deficits more strongly than pluvial basins. This notably affects central Chile, a water-limited region where most of the population lives.
Nicolas Björn Rodriguez, Laurent Pfister, Erwin Zehe, and Julian Klaus
Hydrol. Earth Syst. Sci., 25, 401–428,Short summary
Different parts of water have often been used as tracers to determine the age of water in streams. The stable tracers, such as deuterium, are thought to be unable to reveal old water compared to the radioactive tracer called tritium. We used both tracers, measured in precipitation and in a stream in Luxembourg, to show that this is not necessarily true. It is, in fact, advantageous to use the two tracers together, and we recommend systematically using tritium in future studies.
Ralf Loritz, Markus Hrachowitz, Malte Neuper, and Erwin Zehe
Hydrol. Earth Syst. Sci., 25, 147–167,Short summary
This study investigates the role and value of distributed rainfall in the runoff generation of a mesoscale catchment. We compare the performance of different hydrological models at different periods and show that a distributed model driven by distributed rainfall yields improved performances only during certain periods. We then step beyond this finding and develop a spatially adaptive model that is capable of dynamically adjusting its spatial model structure in time.
Manuela I. Brunner, Lieke A. Melsen, Andrew W. Wood, Oldrich Rakovec, Naoki Mizukami, Wouter J. M. Knoben, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 25, 105–119,Short summary
Assessments of current, local, and regional flood hazards and their future changes often involve the use of hydrologic models. A reliable model ideally reproduces both local flood characteristics and regional aspects of flooding. In this paper we investigate how such characteristics are represented by hydrologic models. Our results show that both the modeling of local and regional flood characteristics are challenging, especially under changing climate conditions.
Sergio Naranjo, Francelino A. Rodrigues Jr., Georg Cadisch, Santiago Lopez-Ridaura, Mariela Fuentes, and Carsten Marohn
Hydrol. Earth Syst. Sci. Discuss.,
Revised manuscript accepted for HESSShort summary
This study pioneers in the integration of a spatially explicit soil erosion model with plot and watershed scale characterization and high resolution drone imagery to assess the effect of spatial resolution DTM on discharge and soil loss. Results showed reduction of slope due to resampling-down of DTM. High resolution translates into higher slope, denser fluvial system, and extremer values of soil loss reducing time of concentration and increasing soil loss at the outlet. Best resolution was 4 m.
Etienne Guilpart, Vahid Espanmanesh, Amaury Tilmant, and François Anctil
Hydrol. Earth Syst. Sci. Discuss.,
Revised manuscript accepted for HESSShort summary
The stationary assumption in hydrology has become obsolete because of climate changes. In that context, it is crucial to assess the performance of a hydrologic model over a wide range of climates and their corresponding hydrologic conditions. We propose a calibration/validation protocol based on the differential split-sample test and numerous, contrasted, climate sequences identified through a Hidden Markov Model (HMM) classification. The proposed protocol is tested on the Senegal River.
Shervan Gharari, Martyn P. Clark, Naoki Mizukami, Wouter J. M. Knoben, Jefferson S. Wong, and Alain Pietroniro
Hydrol. Earth Syst. Sci., 24, 5953–5971,Short summary
This work explores the trade-off between the accuracy of the representation of geospatial data, such as land cover, soil type, and elevation zones, in a land (surface) model and its performance in the context of modeling. We used a vector-based setup instead of the commonly used grid-based setup to identify this trade-off. We also assessed the often neglected parameter uncertainty and its impact on the land model simulations.
Ganggang Zuo, Jungang Luo, Ni Wang, Yani Lian, and Xinxin He
Hydrol. Earth Syst. Sci., 24, 5491–5518,Short summary
A two-stage variational mode decomposition and support vector regression is designed to reduce the influence of boundary effects without removing or correcting boundary-affected decompositions. The proposed model significantly reduces the boundary effect consequences, saves modeling time and computation resources, barely overfits the calibration samples, and forecasts monthly runoff reasonably well compared to the benchmark models.
Nils Hinrich Kaplan, Theresa Blume, and Markus Weiler
Hydrol. Earth Syst. Sci., 24, 5453–5472,Short summary
In recent decades the demand for detailed information of spatial and temporal dynamics of the stream network has grown in the fields of eco-hydrology and extreme flow prediction. We use temporal streamflow intermittency data obtained at various sites using innovative sensing technology as well as spatial predictors to predict and map probabilities of streamflow intermittency. This approach has the potential to provide intermittency maps for hydrological modelling and management practices.
Mattia Neri, Juraj Parajka, and Elena Toth
Hydrol. Earth Syst. Sci., 24, 5149–5171,Short summary
One of the most informative ways to gain information on ungauged river sections is through the implementation of a rainfall-runoff model, exploiting the information collected in gauged catchments in the study area. This study analyses how the performances of different model regionalisation approaches are influenced by the informative content of the available regional data set, in order to identify the methods that are more suitable for the data availability in the region.
Stefania Camici, Christian Massari, Luca Ciabatta, Ivan Marchesini, and Luca Brocca
Hydrol. Earth Syst. Sci., 24, 4869–4885,Short summary
The paper performs the most comprehensive European-scale evaluation to date of satellite rainfall products for river flow prediction. In doing so, how errors transfer from satellite-based rainfall products into flood simulation is investigated in depth and, for the first time, quantitative guidelines on the use of these products for hydrological applications are provided. This result can represent a keystone in the use of satellite rainfall products, especially in data-scarce regions.
Renaud Hostache, Dominik Rains, Kaniska Mallick, Marco Chini, Ramona Pelich, Hans Lievens, Fabrizio Fenicia, Giovanni Corato, Niko E. C. Verhoest, and Patrick Matgen
Hydrol. Earth Syst. Sci., 24, 4793–4812,Short summary
Our objective is to investigate how satellite microwave sensors, particularly Soil Moisture and Ocean Salinity (SMOS), may help to reduce errors and uncertainties in soil moisture simulations with a large-scale conceptual hydro-meteorological model. We assimilated a long time series of SMOS observations into a hydro-meteorological model and showed that this helps to improve model predictions. This work therefore contributes to the development of faster and more accurate drought prediction tools.
Hui Sheng, Xiaomei Xu, Jian Hua Gao, Albert J. Kettner, Yong Shi, Chengfeng Xue, Ya Ping Wang, and Shu Gao
Hydrol. Earth Syst. Sci., 24, 4743–4761,Short summary
This paper investigates the variability of past flooding by applying a numerical model coupled with historical records of regional climate and anthropogenic activity under the deficiency of observations. We conclude that trends in flooding frequency were predominantly modulated by the intensity and frequency of extreme rainfall events, which highlights the need for the implementation of effective river engineering measures to counteract increasing flood risks as a result of the future.
Marc Girons Lopez, Marc J. P. Vis, Michal Jenicek, Nena Griessinger, and Jan Seibert
Hydrol. Earth Syst. Sci., 24, 4441–4461,Short summary
Snow processes are crucial for runoff in mountainous areas, but their complexity makes water management difficult. Temperature models are widely used as they are simple and do not require much data, but not much thought is usually given to which model to use, which may lead to bad predictions. We studied the impact of many model alternatives and found that a more complex model does not necessarily perform better. Finding which processes are most important in each area is a much better strategy.
Uwe Ehret, Rik van Pruijssen, Marina Bortoli, Ralf Loritz, Elnaz Azmi, and Erwin Zehe
Hydrol. Earth Syst. Sci., 24, 4389–4411,Short summary
In this paper we propose adaptive clustering as a new method for reducing the computational efforts of distributed modelling. It consists of identifying similar-acting model elements during the runtime, clustering them, running the model for just a few representatives per cluster, and mapping their results to the remaining model elements in the cluster. With the example of a hydrological model, we show that this saves considerable computation time, while largely maintaining the output quality.
Francesco Avanzi, Joseph Rungee, Tessa Maurer, Roger Bales, Qin Ma, Steven Glaser, and Martha Conklin
Hydrol. Earth Syst. Sci., 24, 4317–4337,Short summary
Multi-year droughts in Mediterranean climates often see a lower fraction of precipitation allocated to runoff compared to non-drought years. By comparing observed water-balance components with simulations by a hydrologic model (PRMS), we reinterpret these shifts as a hysteretic response of the water budget to climate elasticity of evapotranspiration. Our results point to a general improvement in hydrologic predictions across drought and recovery cycles by including this mechanism.
Manuela I. Brunner, Lieke A. Melsen, Andrew J. Newman, Andrew W. Wood, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 24, 3951–3966,Short summary
Streamflow seasonality is changing and expected to further change under the influence of climate change. We here assess how annual streamflow hydrographs will change in future by using a newly developed classification scheme. Our comparison of future with current annual hydrograph classes shows that robust changes are expected only for currently melt-influenced regions in the Rocky Mountains. These upstream changes may require the adaptation of management strategies in downstream regions.
Kirsti Hakala, Nans Addor, Thibault Gobbe, Johann Ruffieux, and Jan Seibert
Hydrol. Earth Syst. Sci., 24, 3815–3833,Short summary
Under a changing climate, reliable information on future hydrological conditions is necessary to inform water resource management. Here, we collaborated with a hydropower company that selected streamflow and energy demand indices. Using these indices, we identified stakeholder needs and used this to tailor the production of our climate change impact projections. We show that opportunities and risks for a hydropower company depend on a range of factors beyond those covered by traditional studies.
Hydrol. Earth Syst. Sci., 24, 3835–3850,Short summary
During the Pliocene, the Qaidam Basin on the Tibetan Plateau contained a mega-lake system. During the Pleistocene, it disappeared almost completely. Today, hyperarid climates prevail in the low-altitude parts of the basin. This study reveals that today's mean water balance of the Qaidam Basin is nearly zero and is positive during warmer, less dry years. The results explain how the mega-lake system could survive for a long time in the past and could eventually be restored in the future.
Abbaspour, K. C.: SWAT-CUP4: SWAT Calibration and Uncertainty Programs – A User Manual, EAWAG Swiss Federal Institute of Aquatic Science and Technology, 103 pp., 2011.
Abbaspour, K. C., Johnson, C. A., and van Genuchten, M. T.: Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure, Vadose Zone J., 3, 1340–1352, 2004.
Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J., and Srinivasan, R.: Modelling hydrology and water quality in the pre-ailpine/alpine Thur watershed using SWAT, J. Hydrol., 333, 413–430, https://doi.org/10.1016/j.jhydrol.2006.09.014, 2007.
Abbaspour, K. C., Faramarzi, M., Ghasemi, S. S., and Yang, H.: Assessing the impact of climate change on water resources in Iran, Water Resour. Res., 45, W10434, https://doi.org/10.1029/2008wr007615, 2009.
Adiku, S. G. K., Reichstein, M., Lohila, A., Dinh, N. Q., Aurela, M., Laurila, T., Tenhunen, J. D.,: PIXGRO: A model for simulating the ecosystem CO2 exchange and growth of spring barley, Ecol. Modell., 190, 260–276, 2006.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration – Guidlines for Computing Crop Water Requirements, FAO – Food and Agriculture Organization of the United Nations, Rome, Italy, FAO Irrigation and Drainage Paper 56, 203 pp., 1988.
Andersson, J. C. M., Zehnder, A. J. B., Jewitt, G. P. W., and Yang, H.: Water availability, demand and reliability of in situ water harvesting in smallholder rain-fed agriculture in the Thukela River Basin, South Africa, Hydrol. Earth Syst. Sci., 13, 2329–2347, https://doi.org/10.5194/hess-13-2329-2009, 2009.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large area hydrologic modeling and assessment – Part 1: Model development, J. Am. Water Resour. Assoc., 34, 73–89, https://doi.org/10.1111/j.1752-1688.1998.tb05961.x, 1998.
Arnhold, S., Ruidisch, M., Bartsch, S., Shope, C. L., and Huwe, B.,: Simulation of runoff patterns and soil erosion on mountainous farmland with and without plastic-covered ridge-furrow cultivation in South Korea, Trans. ASABE, 56, 667–679, 2013.
Bartsch, S., Frei, S., Ruidisch, M., Shope, C. L., Peiffer, S., Kim, B., and Fleckenstein, J. H.: River-aquifer exchange fluxes under monsoonal climate conditions, J. Hydrol., 509, 601–614, https://doi.org/10.1016/j.jhydrol.2013.12.005, 2014.
Bennett, N. D., Croke, B. F., Guariso, G., Guillaume, J. H., Hamilton, S. H., Jakeman, A. J., and Andreassian, V.: Characterising performance of environmental models, Environ. Modell. Softw., 40, 20 pp., https://doi.org/10.1016/j.envsoft.2012.09.011, 2012.
Berka, C., Schreier, H., and Hall, K.: Linking water quality with agricultural intensification in a rural watershed, Water Air Soil Pollut., 127, 389–401, https://doi.org/10.1023/a:1005233005364, 2001.
Butts, M. B., Payne, J. T., Kristensen, M., and Madsen, H.: An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation, J. Hydrol., 298, 242–266, https://doi.org/10.1016/j.jhydrol.2004.03.042, 2004.
Calder, I. R.: Hydrologic effects of land use change, in: Handbook of Hydrology, edited by: Maidment, D. R., McGraw Hill, Inc., New York, NY, 1992.
Cho, J., Bosch, D., Vellidis, G., Lowrance, R., and Strickland, T.: Multi-site evaluation of hydrology component of swat in the coastal plain of Southwest Georgia, Hydrol. Process., 27, 1691–1700, https://doi.org/10.1002/hyp.9341, 2012.
Choi, G., Lee, B., Kang, S., and Tenhunen, J.: Variations of Summertime Temperature Lapse Rate within a Mountainous Basin in the Republic of Korea – A case study of Punch Bowl, Yanggu in 2009, 2010.
Dessu, S. B. and Melesse, A. M.: Modelling the rainfall-runoff process of the Mara River basin using the Soil and Water Assessment Tool, Hydrol. Process., 26, 4038–4049, https://doi.org/10.1002/hyp.9205, 2012.
Duan, Q., Sorooshian, S., Gupta, V., Rousseau, A. N., and Turcotte, R.: Calibration of watershed models, American Geophysical Union, Washington D.C., 2003.
Eckhardt, K.: How to construct recursive digital filters for baseflow separation, Hydrol. Process., 19, 507–515, 2005.
Faramarzi, M., Abbaspour, K. C., Schulin, R., and Yang, H.: Modelling blue and green water resources availability in Iran, Hydrol. Process., 23, 486–501, https://doi.org/10.1002/hyp.7160, 2009.
Forti, M. C., Neal, C., and Jenkins, A.: Modeling perspective of the deforestation impact in stream water-quality of small preserved forested areas in the Amazonian rain-forest, Water Air Soil Pollut., 79, 325–337, https://doi.org/10.1007/bf01100445, 1995.
Gassman, P. W., Reyes, M. R., Green, C. H., and Arnold, J. G.: The soil and water assessment tool: Historical development, applications, and future research directions, Trans. ASABE, 50, 1211–1250, 2007.
Green, H. and Ampt, G. A.: Studies on Soil Physics: Part II – The Permeability of an Ideal Soil to Air and Water, The J. Agr. Sci., 5, 1–26, https://doi.org/10.1017/S0021859600001751, 1912.
Güngör, Ö. and Göncü, S.: Application of the soil and water assessment tool model on the Lower Porsuk Stream Watershed, Hydrol. Process., 27, 453–466, https://doi.org/10.1002/hyp.9228, 2012.
Hargreaves, G. H. and Samani, Z. A.: Reference crop evapotranspiration from temperature, Appl. Eng. Agr., 1, 96–99, 1985.
Haverkamp, S., Srinivasan, R., Frede, H.-G., and Santhi, C.: Subwatershed spatial analysis tool:discretization of a distributed hydrologic model by statistical criteria, J. Am. Water Resour. Assoc., 38, 1723–1733, 2002.
Jha, M., Gassman, P. W., Secchi, S., Gu, R., and Arnold, J.: Effect of watershed subdivision on swat flow, sediment, and nutrient predictions, J. Am. Water Resour. Assoc., 40, 811–825, https://doi.org/10.1111/j.1752-1688.2004.tb04460.x, 2004.
Jo, K.-W. and Park, J.-H.: Rapid Release and Changing Sources of Pb in a Mountainous Watershed during Extreme Rainfall Events, Environ. Sci. Technol., 44, 9324–9329, https://doi.org/10.1021/es102109a, 2010.
Jun, M.: Device for Reducing Muddy Water in the Watershed of Soyang Dam, Regional Institute of Gangwon, South Korea, 2009.
Jung, B.-J., Lee, H.-J., Jeong, J.-J., Owen, J., Kim, B., Meusburger, K., Alewell, C., Gebauer, G., Shope, C., and Park, J.-H.: Storm pulses and varying sources of hydrologic carbon export from a mountainous watershed, J. Hydrol., 440–441, 90–101, https://doi.org/10.1016/j.jhydrol.2012.03.030, 2012.
Khakbaz, B., Imam, B., Hsu, K., and Sorooshian, S.: From lumped to distributed via semi-distributed: Calibration strategies for semi-distributed hydrologic models, J. Hydrol., 418–419, 61–77, https://doi.org/10.1016/j.jhydrol.2009.02.021, 2012.
Kim, I., Jeong, G. Y., Park, S., and Tenhunen, J.: Predicted Land Use Change in the Soyang River Basin, South Korea, 2011 TERRECO Science Conference, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany, October 2–7, 2011.
Kwon, Y. S., Lee, H. H., Han, U., Kim, W. H., Kim, D. J., Kim, D. I., and Youm, S. J.: Terrain analysis of Haean Basin in terms of earth science, J. Korean Earth Sci. Soc., 11, 236–241, 1990.
Lam, Q. D., Schmalz, B., and Fohrer, N.: Assessing the spatial and temporal variations of water quality in lowland areas, Northern Germany, J. Hydrol., 438–439, 137–147, https://doi.org/10.1016/j.jhydrol.2012.03.011, 2012.
Lee, H. J., Chun, K. W. Shope, C. L., Park, J. H.,.: Detecting rapid changes in stream water quality in mountainous forested watersheds during the monsoon period – The importance of high-frequency monitoring, J. Hydrol., in review, 2014.
Lee, J. W., Eum, J. S., Kim, B., Jang, W. S., Ryu, J. C., Kang, H. W., Kim, K. S., and Lim, K. J.: Water Quality Prediction at Mandae Watershed using SWAT and Water Quality Improvement with Vegetated Filter Strip, J. Korean Soc. Agr. Eng., 53, 37–45, https://doi.org/10.5389/KSAE.2011.53.1.037, 2011.
Lee, J. M., Ryu, J. C., Kang, H. W., Kang, H. S., Kum, D. H., Jang, C. H., Choi, J. D., and Lim, K. J.: Evaluation of SWAT Flow and Sediment Estimation and Effects of Soil Erosion Best Management Practices, J. Korean Soc. Agr. Eng., 54, 99–108, https://doi.org/10.5389/KSAE.2012.54.1.099, 2012.
Mekonnen, M. A., Worman, A., Dargahi, B., and Gebeyehu, A.: Hydrological modelling of Ethiopian catchments using limited data, Hydrol. Process., 23, 3401–3408, https://doi.org/10.1002/hyp.7470, 2009.
Monteith, J. L.: Evaporation and the Environment, in: The state and movement of water in living organisms, edited by: Fogg, G. E., Cambridge University Press, 205–234, 1965.
Moriasi, D. N., Arnold, J. G., Liew, M. W. V., Bingner, R. L., Harmel, R. D., and Veith, T. L.: Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations, Trans. ASABE, 50, 885–900, 2007.
Nash, J. E. and Sutcliffe, J. V.: River Flow Forecasting through Conceptual Models Part 1 – A Discussion of Principles, J. Hydrol. (Amsterdam), 10, 282–290, 1970.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Srinivasan, R., and Williams, J. R.: Soil and Water Assessment Tool Input/Output File Documentation Version 2009, Grassland, Soil and Water Research Laboratory, Agricultural Research Service and Blackland Research Center, Texas Agricultural Experiment Station, College Station, Texas, 2010.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., and Williams, J. R.: Soil and Water Assessment Tool Theoretical Documentation Version 2009, Grassland, Soil and Water Research Laboratory, Agricultural ResearchService and Blackland Research Center, Texas Agricultural Experiment Station, College Station, Texas, 2011.
Nguyen, T., Hoang, V. N., and Seo, B.: Cost and environmental efficiency of rice farms in South Korea, Agr. Econom., 43, 367–376, 2012.
Notter, B., MacMillan, L., Viviroli, D., Weingartner, R., and Liniger, H.-P.: Impacts of environmental change on water resources in the Mt. Kenya region, J. Hydrol., 343, 266–278, https://doi.org/10.1016/j.jhydrol.2007.06.022, 2007.
Notter, B., Hurni, H., Wiesmann, U., and Abbaspour, K. C.: Modelling water provision as an ecosystem service in a large East African river basin, Hydrol. Earth Syst. Sci., 16, 69–86, https://doi.org/10.5194/hess-16-69-2012, 2012.
Penman, H. L.: Natural Evaporation from Open Water, Bare Soil and Grass, Proc. Roy. Soci. Lond A, 193, 120–145, 1948.
Priestley, C. H. B. and Taylor, R. J.: On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters, Mon. Weather Rev., 100, 81–92, 1972.
Ruidisch, M., Kettering, J., Arnhold, S., and Huwe, B.: Modeling water flow in a plastic mulched ridge cultivation system on hillslopes affected by South Korean summer monsoon, Agr. Water Manage., 116, 204–217, https://doi.org/10.1016/j.agwat.2012.07.011, 2013.
Schuol, J. and Abbaspour, K. C.: Calibration and uncertainty issues of a hydrological model (SWAT) applied to West Africa, Adv. Geosci., 9, 137–143, https://doi.org/10.5194/adgeo-9-137-2006, 2006.
Schuol, J., Abbaspour, K. C., Srinivasan, R., and Yang, H.: Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model, J. Hydrol., 352, 30–49, https://doi.org/10.1016/j.jhydrol.2007.12.025, 2008.
Setegn, S., Srinivasan, G. R., and Dargahi, B.: Hydrological modelling in the Lake Tana Basin, Ethiopia using SWAT model, The Open Hydrol. J., 2, 49-62, 2008.
Shope, C. L., Bartsch, S., Kim, K., Kim, B., Tenhunen, J., Peiffer, S., Park, J. H., Ok, Y. S., Fleckenstein, J., and Koellner, T.: A weighted, multi-method approach for accurate basin-wide streamflow estimation in an ungauged watershed, J. Hydrol., 494, 72–82, 2013.
Stehr, A., Debels, P., Romero, F., and Alcayaga, H.: Hydrological modelling with SWAT under conditions of limited data availability: evaluation of results from a Chilean case study, Hydrol. Sci. J., 53, 588–601, https://doi.org/10.1623/hysj.53.3.588, 2008.
Strauch, M., Bernhofer, C., Koide, S., Volk, M., Lorz, C., and Makeschin, F.: Using precipitation data ensemble for uncertainty analysis in SWAT streamflow simulation, J. Hydrol., 414, 413–424, 2012.
Strauch, M., Lima, J. E., Volk, M., Lorz, C., and Makeschin, F.: The impact of Best Management Practices on simulated streamflow and sediment load in a Central Brazilian catchment, J. Environ. Manage., 127, S24–S36, 2013.
Tenhunen, J., Seo, B., and Lee, B.: Spatial setting of the TERRECO project in the Haean catchment of Yanggu-gun and the Soyang watershed in Gangwan-do, AsiaFlux Training Course on Flux Monitoring: From Theory to Application, Seoul, South Korea, 2011,
Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R., and Polasky, S.: Agricultural sustainability and intensive production practices, Nature, 418, 671–677, https://doi.org/10.1038/nature01014, 2002.
Tripathi, M. P., Raghuwanshi, N. S., and Rao, G. P.: Effect of watershed subdivision on simulation of water balance components, Hydrol. Process., 20, 1137–1156, https://doi.org/10.1002/hyp.5927, 2006.
U.S.D.A.: Soil Conservation Survey SCS, National Engineering Hand Book, Section 4, in: Hydrology, edited by: U.S.D.A, Washington, DC, 1972.
Volk, M., Liersch, S., and Schmidt, G.: Towards the implementation of the European Water Framework Directive?: Lessons learned from water quality simulations in an agricultural watershed, Land Use Pol., 26, 580–588, 2009.
Wilson, C. B., Valdes, J. B., and Rodriguez-Iturbe, I.: On the influence of the spatial distribution of rainfall on storm runoff, Water Resour. Res., 15, 321–328, https://doi.org/10.1029/WR015i002p00321, 1979.
Xu, N., Saiers, J. E., Wilson, H. F., and Raymond, P. A.: Simulating streamflow and dissolved organic matter export from a forested watershed, Water Resour. Res., 48, W05519, https://doi.org/10.1029/2011wr011423, 2012a.
Xu, Y. D., Fu, B. J., He, C. S., and Gao, G. Y.: Watershed discretization based on multiple factors and its application in the Chinese Loess Plateau, Hydrol. Earth Syst. Sci., 16, 59–68, https://doi.org/10.5194/hess-16-59-2012, 2012b.
Yang, J., Reichert, P., Abbaspour, K. C., Xia, J., and Yang, H.: Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China, J. Hydrol., 358, 23 pp., https://doi.org/10.1016/j.jhydrol.2008.05.012, 2008.
Yanggu County Office: Yanggu statististical year-book, 2002–2011, Yanggu, Gangwon, Republic of Korea, 2012.