Articles | Volume 20, issue 6
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Rainfall erosivity in catchments contaminated with fallout from the Fukushima Daiichi nuclear power plant accident
J. Patrick Laceby
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Unité Mixte de Recherche 8212 (CEA-CNRS-UVSQ/IPSL), Université Paris-Saclay, Gif-sur-Yvette, France
Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université catholique de Louvain, Louvain, Belgium
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Unité Mixte de Recherche 8212 (CEA-CNRS-UVSQ/IPSL), Université Paris-Saclay, Gif-sur-Yvette, France
Graduate School of Life and Environmental Sciences, Center for Research in Isotopes and Environmental Dynamics (CRIED), University of Tsukuba, Tsukuba, Japan
Laboratoire de Biogéochimie, Biodisponibilité et Transferts de Radionucléides, IRSN/PRP-ENV/SERIS/L2BT, Cadarache, France
Bureau de Recherches Géologiques et Minières, Orléans, France
No articles found.
Olivier Evrard, Thomas Chalaux Clergue, Pierre-Alexis Chaboche, Yoshifumi Wakiyama, and Yves Thiry
Twelve years after the nuclear accident that occurred in Fukushima in March 2011, radioactive contamination remains a major concern in Northeastern Japan. The Japanese authorities completed an unprecedented decontamination programme. The central objective was not to expose local inhabitants to excessive radioactive doses. At the onset of the full reopening of the Difficult-to-Return Zone in 2023, the current review provides an update of a previous synthesis published in 2019.
Marie Dumont, Simon Gascoin, Marion Réveillet, Didier Voisin, François Tuzet, Laurent Arnaud, Mylène Bonnefoy, Montse Bacardit Peñarroya, Carlo Carmagnola, Alexandre Deguine, Aurélie Diacre, Lukas Dürr, Olivier Evrard, Firmin Fontaine, Amaury Frankl, Mathieu Fructus, Laure Gandois, Isabelle Gouttevin, Abdelfateh Gherab, Pascal Hagenmuller, Sophia Hansson, Hervé Herbin, Béatrice Josse, Bruno Jourdain, Irene Lefevre, Gaël Le Roux, Quentin Libois, Lucie Liger, Samuel Morin, Denis Petitprez, Alvaro Robledano, Martin Schneebeli, Pascal Salze, Delphine Six, Emmanuel Thibert, Jürg Trachsel, Matthieu Vernay, Léo Viallon-Galinier, and Céline Voiron
Earth Syst. Sci. Data Discuss.,
Revised manuscript under review for ESSDShort summary
Saharan dust outbreaks have profound effects on ecosystems, climate, health and cryosphere, but the spatial deposition pattern of Saharan dust is poorly known. Following the extreme dust deposition event of February 2021 across Europe, a citizen science campaign was launched to sample dust on snow over the Pyrenees and the European Alps. This campaign triggered wide interest and over 100 samples. The samples revealed the high variability of the dust properties within a single event.
Anthony Foucher, Sergio Morera, Michael Sanchez, Jhon Orrillo, and Olivier Evrard
The current research investigated, as a representative study case, the sediment accumulated in the Poechos reservoir (Northern Peru) for retrospectively reconstructing the impact of the El Niño-Southern Oscillation and agriculture expansion along the riverine system of the dry tropical forest biome on sediment dynamics and sources (1978–2019).
Laurie Boithias, Olivier Ribolzi, Emma Rochelle-Newall, Chanthanousone Thammahacksa, Paty Nakhle, Bounsamay Soulileuth, Anne Pando-Bahuon, Keooudone Latsachack, Norbert Silvera, Phabvilay Sounyafong, Khampaseuth Xayyathip, Rosalie Zimmermann, Sayaphet Rattanavong, Priscia Oliva, Thomas Pommier, Olivier Evrard, Sylvain Huon, Jean Causse, Thierry Henry-des-Tureaux, Oloth Sengtaheuanghoung, Nivong Sipaseuth, and Alain Pierret
Earth Syst. Sci. Data, 14, 2883–2894,Short summary
Fecal pathogens in surface waters may threaten human health, especially in developing countries. The Escherichia coli (E. coli) database is organized in three datasets and includes 1602 records from 31 sampling stations located within the Mekong River basin in Lao PDR. Data have been used to identify the drivers of E. coli dissemination across tropical catchments, including during floods. Data may be further used to interpret new variables or to map the health risk posed by fecal pathogens.
Edouard Patault, Valentin Landemaine, Jérôme Ledun, Arnaud Soulignac, Matthieu Fournier, Jean-François Ouvry, Olivier Cerdan, and Benoit Laignel
Hydrol. Earth Syst. Sci., 25, 6223–6238,Short summary
The goal of this study was to assess the sediment discharge variability at a water treatment plant (Normandy, France) according to multiple realistic land use scenarios. We developed a new cascade modelling approach and simulations suggested that coupling eco-engineering and best farming practices can significantly reduce the sediment discharge (up to 80 %).
Virginie Sellier, Oldrich Navratil, John Patrick Laceby, Cédric Legout, Anthony Foucher, Michel Allenbach, Irène Lefèvre, and Olivier Evrard
SOIL, 7, 743–766,Short summary
Open-cast mining increases soil erosion and transfer of sediment in river systems. Providing a methodology to better understand the sediment dynamic of these catchments is essential to manage this pollution. In this study, different tracers such as elemental geochemistry or colour properties were tested to trace and quantify the mining source contributions to the sediment inputs in the Thio River catchment, one of the first areas exploited for nickel mining in New Caledonia (i.e. since 1880).
Anthony Foucher, Pierre-Alexis Chaboche, Pierre Sabatier, and Olivier Evrard
Earth Syst. Sci. Data, 13, 4951–4966,Short summary
Sediment archives provide a powerful and unique tool for reconstructing the trajectory and the resilience of terrestrial and aquatic ecosystems facing major environmental changes. Establishing an age depth–model is the first prerequisite of any paleo-investigation. This study synthesizes the distribution of two radionuclides classically used to this aim, providing a worldwide reference to help the scientific community reach a consensus for dating recent sedimentary archives.
Olivier Evrard, Caroline Chartin, J. Patrick Laceby, Yuichi Onda, Yoshifumi Wakiyama, Atsushi Nakao, Olivier Cerdan, Hugo Lepage, Hugo Jaegler, Rosalie Vandromme, Irène Lefèvre, and Philippe Bonté
Earth Syst. Sci. Data, 13, 2555–2560,Short summary
This dataset provides an original compilation of radioactive dose rates and artificial radionuclide activities in sediment deposited after floods in the rivers draining the main radioactive pollution plume in Fukushuma, Japan, between November 2011 and November 2020. In total, 782 sediment samples collected from 27 to 71 locations during 16 fieldwork campaigns were analysed. This provides a unique post-accidental dataset to better understand the environmental fate of radionuclides.
André-Marie Dendievel, Brice Mourier, Alexandra Coynel, Olivier Evrard, Pierre Labadie, Sophie Ayrault, Maxime Debret, Florence Koltalo, Yoann Copard, Quentin Faivre, Thomas Gardes, Sophia Vauclin, Hélène Budzinski, Cécile Grosbois, Thierry Winiarski, and Marc Desmet
Earth Syst. Sci. Data, 12, 1153–1170,Short summary
Polychlorinated biphenyl indicators (ΣPCBi) from sediment cores, bed and flood deposits, suspended particulate matter, and dredged sediments along the major French rivers (1945–2018) are compared with socio-hydrological drivers. ΣPCBi increased from 1945 to the 1990s due to urban and industrial emissions. It gradually decreased with the implementation of regulations. Specific ΣPCBi fluxes reveal the amount of PCB-polluted sediment transported by French rivers to European seas over 40 years.
Olivier Evrard, J. Patrick Laceby, and Atsushi Nakao
SOIL, 5, 333–350,Short summary
The Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident in March 2011 resulted in the contamination of Japanese landscapes with radioactive fallout. The objective of this review is to provide an overview of the decontamination strategies and their potential effectiveness in Japan. Overall, we believe it is important to synthesise the remediation lessons learnt following the FDNPP nuclear accident, which could be fundamental if radioactive fallout occurred somewhere on Earth in the future.
Wenchao Ma, Jun Asanuma, Jianqing Xu, and Yuichi Onda
Earth Syst. Sci. Data, 10, 2295–2309,
E. Gourdin, S. Huon, O. Evrard, O. Ribolzi, T. Bariac, O. Sengtaheuanghoung, and S. Ayrault
Biogeosciences, 12, 1073–1089,Short summary
The origin and dynamics of particulate organic matter were studied in a 11.6km² catchment (northern Laos) during the first erosive flood of the 2012 rainy season. Upstream suspended sediments mainly originated from cultivated soils labelled by their C3 vegetation cover. In contrast, channel banks with C4 vegetation supplied significant quantities of sediment to the river downstream. Swamps located along the main stream acted as sediment filters and controlled the composition of suspended POM.
M. S. Kim, Y. Onda, and J. K. Kim
Nat. Hazards Earth Syst. Sci. Discuss.,
Revised manuscript not acceptedShort summary
The accuracy of shallow landslide prediction based on SHALSTAB model varying the input soil data was examined. Soil parameters calculated from a stochastic hydro-geomorphological model were applied to the SHALSTAB model. Results showed that the use of soil properties reflecting soil thickness can improve the accuracy of shallow landslide prediction.
H. Lepage, O. Evrard, Y. Onda, I. Lefèvre, J. P. Laceby, and S. Ayrault
Revised manuscript not accepted
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approachesRevisiting the hydrological basis of the Budyko framework with the principle of hydrologically similar groupsReconstructing five decades of sediment export from two glacierized high-alpine catchments in Tyrol, Austria, using nonparametric regressionWater and energy budgets over hydrological basins on short and long timescalesHydrological response to climate change and human activities in the Three-River Source RegionIncorporating experimentally derived streamflow contributions into model parameterization to improve discharge predictionMachine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM dataRiver hydraulic modeling with ICESat-2 land and water surface elevationHydrological modeling using the Soil and Water Assessment Tool in urban and peri-urban environments: the case of Kifisos experimental subbasin (Athens, Greece)Technical note: How physically based is hydrograph separation by recursive digital filtering?A comprehensive open-source course for teaching applied hydrological modelling in Central AsiaImpact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchmentTechnical note: Extending the SWAT model to transport chemicals through tile and groundwater flowLong-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in ChinaDisentangling scatter in long-term concentration–discharge relationships: the role of event typesSimulating the hydrological impacts of land use conversion from annual crop to perennial forage in the Canadian Prairies using the Cold Regions Hydrological Modelling platformHow can we benefit from regime information to make more effective use of long short-term memory (LSTM) runoff models?When best is the enemy of good – critical evaluation of performance criteria in hydrological modelsOn the value of satellite remote sensing to reduce uncertainties of regional simulations of the Colorado RiverAssessing runoff sensitivity of North American Prairie Pothole Region basins to wetland drainage using a basin classification-based virtual modelling approachA large-sample investigation into uncertain climate change impacts on high flows across Great BritainEffects of passive-storage conceptualization on modeling hydrological function and isotope dynamics in the flow system of a cockpit karst landscapeTechnical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networksAttribution of climate change and human activities to streamflow variations with a posterior distribution of hydrological simulationsA time-varying distributed unit hydrograph method considering soil moistureFlood patterns in a catchment with mixed bedrock geology and a hilly landscape: identification of flashy runoff contributions during storm eventsA graph neural network (GNN) approach to basin-scale river network learning: the role of physics-based connectivity and data fusionImproving hydrologic models for predictions and process understanding using neural ODEsResponse of active catchment water storage capacity to a prolonged meteorological drought and asymptotic climate variationHESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologistsDevelopment of a national 7-day ensemble streamflow forecasting service for AustraliaFuture snow changes and their impact on the upstream runoff in SalweenTechnical note: Do different projections matter for the Budyko framework?Representation of seasonal land use dynamics in SWAT+ for improved assessment of blue and green water consumptionLarge-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological modelAn algorithm for deriving the topology of belowground urban stormwater 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peaks using heterogeneous time series at a national scaleRevisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradientDeep learning rainfall–runoff predictions of extreme eventsDiel streamflow cycles suggest more sensitive snowmelt-driven streamflow to climate change than land surface modeling doesTeaching hydrological modelling: illustrating model structure uncertainty with a ready-to-use computational exerciseEffects of spatial and temporal variability in surface water inputs on streamflow generation and cessation in the rain–snow transition zone
Yuchan Chen, Xiuzhi Chen, Meimei Xue, Chuanxun Yang, Wei Zheng, Jun Cao, Wenting Yan, and Wenping Yuan
Hydrol. Earth Syst. Sci., 27, 1929–1943,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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.
Dharmaveer Singh, Manu Vardhan, Rakesh Sahu, Debrupa Chatterjee, Pankaj Chauhan, and Shiyin Liu
Hydrol. Earth Syst. Sci., 27, 1047–1075,Short summary
This study examines, for the first time, the potential of various machine learning models in streamflow prediction over the Sutlej River basin (rainfall-dominated zone) in western Himalaya during the period 2041–2070 (2050s) and 2071–2100 (2080s) and its relationship to climate variability. The mean ensemble of the model results shows that the mean annual streamflow of the Sutlej River is expected to rise between the 2050s and 2080s by 0.79 to 1.43 % for SSP585 and by 0.87 to 1.10 % for SSP245.
Monica Coppo Frias, Suxia Liu, Xingguo Mo, Karina Nielsen, Heidi Ranndal, Liguang Jiang, Jun Ma, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 27, 1011–1032,Short summary
This paper uses remote sensing data from ICESat-2 to calibrate a 1D hydraulic model. With the model, we can make estimations of discharge and water surface elevation, which are important indicators in flooding risk assessment. ICESat-2 data give an added value, thanks to the 0.7 m resolution, which allows the measurement of narrow river streams. In addition, ICESat-2 provides measurements on the river dry portion geometry that can be included in the model.
Evgenia Koltsida, Nikos Mamassis, and Andreas Kallioras
Hydrol. Earth Syst. Sci., 27, 917–931,Short summary
Daily and hourly rainfall observations were inputted to a Soil and Water Assessment Tool (SWAT) hydrological model to investigate the impacts of rainfall temporal resolution on a discharge simulation. Results indicated that groundwater flow parameters were more sensitive to daily time intervals, and channel routing parameters were more influential for hourly time intervals. This study suggests that the SWAT model appears to be a reliable tool to predict discharge in a mixed-land-use basin.
Hydrol. Earth Syst. Sci., 27, 495–499,Short summary
An important hydrological issue is to identify components of streamflow that react to precipitation with different degrees of attenuation and delay. From the multitude of methods that have been developed for this so-called hydrograph separation, a specific, frequently used one is singled out here. It is shown to be derived from plausible physical principles. This increases confidence in its results.
Beatrice Sabine Marti, Aidar Zhumabaev, and Tobias Siegfried
Hydrol. Earth Syst. Sci., 27, 319–330,Short summary
Numerical modelling is often used for climate impact studies in water resources management. It is, however, not yet highly accessible to many students of hydrology in Central Asia. One big hurdle for new learners is the preparation of relevant data prior to the actual modelling. We present a robust, open-source workflow and comprehensive teaching material that can be used by teachers and by students for self study.
Aniket Gupta, Alix Reverdy, Jean-Martial Cohard, Basile Hector, Marc Descloitres, Jean-Pierre Vandervaere, Catherine Coulaud, Romain Biron, Lucie Liger, Reed Maxwell, Jean-Gabriel Valay, and Didier Voisin
Hydrol. Earth Syst. Sci., 27, 191–212,Short summary
Patchy snow cover during spring impacts mountainous ecosystems on a large range of spatio-temporal scales. A hydrological model simulated such snow patchiness at 10 m resolution. Slope and orientation controls precipitation, radiation, and wind generate differences in snowmelt, subsurface storage, streamflow, and evapotranspiration. The snow patchiness increases the duration of the snowmelt to stream and subsurface storage, which sustains the plants and streamflow later in the summer.
Hendrik Rathjens, Jens Kiesel, Michael Winchell, Jeffrey Arnold, and Robin Sur
Hydrol. Earth Syst. Sci., 27, 159–167,Short summary
The SWAT model can simulate the transport of water-soluble chemicals through the landscape but neglects the transport through groundwater or agricultural tile drains. These transport pathways are, however, important to assess the amount of chemicals in streams. We added this capability to the model, which significantly improved the simulation. The representation of all transport pathways in the model enables watershed managers to develop robust strategies for reducing chemicals in streams.
Wencong Yang, Hanbo Yang, Changming Li, Taihua Wang, Ziwei Liu, Qingfang Hu, and Dawen Yang
Hydrol. Earth Syst. Sci., 26, 6427–6441,Short summary
We produced a daily 0.1° dataset of precipitation, soil moisture, and snow water equivalent in 1981–2017 across China via reconstructions. The dataset used global background data and local on-site data as forcing input and satellite-based data as reconstruction benchmarks. This long-term high-resolution national hydrological dataset is valuable for national investigations of hydrological processes.
Felipe A. Saavedra, Andreas Musolff, Jana von Freyberg, Ralf Merz, Stefano Basso, and Larisa Tarasova
Hydrol. Earth Syst. Sci., 26, 6227–6245,Short summary
Nitrate contamination of rivers from agricultural sources is a challenge for water quality management. During runoff events, different transport paths within the catchment might be activated, generating a variety of responses in nitrate concentration in stream water. Using nitrate samples from 184 German catchments and a runoff event classification, we show that hydrologic connectivity during runoff events is a key control of nitrate transport from catchments to streams in our study domain.
Marcos R. C. Cordeiro, Kang Liang, Henry F. Wilson, Jason Vanrobaeys, David A. Lobb, Xing Fang, and John W. Pomeroy
Hydrol. Earth Syst. Sci., 26, 5917–5931,Short summary
This study addresses the issue of increasing interest in the hydrological impacts of converting cropland to perennial forage cover in the Canadian Prairies. By developing customized models using the Cold Regions Hydrological Modelling (CRHM) platform, this long-term (1992–2013) modelling study is expected to provide stakeholders with science-based information regarding the hydrological impacts of land use conversion from annual crop to perennial forage cover in the Canadian Prairies.
Reyhaneh Hashemi, Pierre Brigode, Pierre-André Garambois, and Pierre Javelle
Hydrol. Earth Syst. Sci., 26, 5793–5816,Short summary
Hydrologists have long dreamed of a tool that could adequately predict runoff in catchments. Data-driven long short-term memory (LSTM) models appear very promising to the hydrology community in this respect. Here, we have sought to benefit from traditional practices in hydrology to improve the effectiveness of LSTM models. We discovered that one LSTM parameter has a hydrologic interpretation and that there is a need to increase the data and to tune two parameters, thereby improving predictions.
Guillaume Cinkus, Naomi Mazzilli, Hervé Jourde, Andreas Wunsch, Tanja Liesch, Nataša Ravbar, Zhao Chen, and Nico Goldscheider
Hydrol. Earth Syst. Sci. Discuss.,
Revised manuscript accepted for HESSShort summary
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, assessing a simulation, concurrent over- and underestimation of discharge can lead to an overall higher criterion score without being associated to an increase in model relevance. We suggest to carefully choose performance criteria and to use scaling factors.
Mu Xiao, Giuseppe Mascaro, Zhaocheng Wang, Kristen M. Whitney, and Enrique R. Vivoni
Hydrol. Earth Syst. Sci., 26, 5627–5646,Short summary
As the major water resource in the southwestern United States, the Colorado River is experiencing decreases in naturalized streamflow and is predicted to face severe challenges under future climate scenarios. Here, we demonstrate the value of Earth observing satellites to improve and build confidence in the spatiotemporal simulations from regional hydrologic models for assessing the sensitivity of the Colorado River to climate change and supporting regional water managers.
Christopher Spence, Zhihua He, Kevin R. Shook, John W. Pomeroy, Colin J. Whitfield, and Jared D. Wolfe
Hydrol. Earth Syst. Sci., 26, 5555–5575,Short summary
We learnt how streamflow from small creeks could be altered by wetland removal in the Canadian Prairies, where this practice is pervasive. Every creek basin in the region was placed into one of seven groups. We selected one of these groups and used its traits to simulate streamflow. The model worked well enough so that we could trust the results even if we removed the wetlands. Wetland removal did not change low flow amounts very much, but it doubled high flow and tripled average flow.
Rosanna A. Lane, Gemma Coxon, Jim Freer, Jan Seibert, and Thorsten Wagener
Hydrol. Earth Syst. Sci., 26, 5535–5554,Short summary
This study modelled the impact of climate change on river high flows across Great Britain (GB). Generally, results indicated an increase in the magnitude and frequency of high flows along the west coast of GB by 2050–2075. In contrast, average flows decreased across GB. All flow projections contained large uncertainties; the climate projections were the largest source of uncertainty overall but hydrological modelling uncertainties were considerable in some regions.
Guangxuan Li, Xi Chen, Zhicai Zhang, Lichun Wang, and Chris Soulsby
Hydrol. Earth Syst. Sci., 26, 5515–5534,Short summary
We developed a coupled flow–tracer model to understand the effects of passive storage on modeling hydrological function and isotope dynamics in a karst flow system. Models with passive storages show improvement in matching isotope dynamics performance, and the improved performance also strongly depends on the number and location of passive storages. Our results also suggested that the solute transport is primarily controlled by advection and hydrodynamic dispersion in the steep hillslope unit.
Grey S. Nearing, Daniel Klotz, Jonathan M. Frame, Martin Gauch, Oren Gilon, Frederik Kratzert, Alden Keefe Sampson, Guy Shalev, and Sella Nevo
Hydrol. Earth Syst. Sci., 26, 5493–5513,Short summary
When designing flood forecasting models, it is necessary to use all available data to achieve the most accurate predictions possible. This manuscript explores two basic ways of ingesting near-real-time streamflow data into machine learning streamflow models. The point we want to make is that when working in the context of machine learning (instead of traditional hydrology models that are based on bio-geophysics), it is not necessary to use complex statistical methods for injecting sparse data.
Xiongpeng Tang, Guobin Fu, Silong Zhang, Chao Gao, Guoqing Wang, Zhenxin Bao, Yanli Liu, Cuishan Liu, and Junliang Jin
Hydrol. Earth Syst. Sci., 26, 5315–5339,Short summary
In this study, we proposed a new framework that considered the uncertainties of model simulations in quantifying the contribution rate of climate change and human activities to streamflow changes. Then, the Lancang River basin was selected for the case study. The results of quantitative analysis using the new framework showed that the reason for the decrease in the streamflow at Yunjinghong station was mainly human activities.
Bin Yi, Lu Chen, Hansong Zhang, Vijay P. Singh, Ping Jiang, Yizhuo Liu, Hexiang Guo, and Hongya Qiu
Hydrol. Earth Syst. Sci., 26, 5269–5289,Short summary
An improved GIS-derived distributed unit hydrograph routing method considering time-varying soil moisture was proposed for flow routing. The method considered the changes of time-varying soil moisture and rainfall intensity. The response of underlying surface to the soil moisture content was considered an important factor in this study. The SUH, DUH, TDUH and proposed routing methods (TDUH-MC) were used for flood forecasts, and the simulated results were compared and discussed.
Audrey Douinot, Jean François Iffly, Cyrille Tailliez, Claude Meisch, and Laurent Pfister
Hydrol. Earth Syst. Sci., 26, 5185–5206,Short summary
The objective of the paper is to highlight the seasonal and singular shift of the transfer time distributions of two catchments (≅10 km2). Based on 2 years of rainfall and discharge observations, we compare variations in the properties of TTDs with the physiographic characteristics of catchment areas and the eco-hydrological cycle. The paper eventually aims to deduce several factors conducive to particularly rapid and concentrated water transfers, which leads to flash floods.
Alexander Y. Sun, Peishi Jiang, Zong-Liang Yang, Yangxinyu Xie, and Xingyuan Chen
Hydrol. Earth Syst. Sci., 26, 5163–5184,Short summary
High-resolution river modeling is of great interest to local governments and stakeholders for flood-hazard mitigation. This work presents a physics-guided, machine learning (ML) framework for combining the strengths of high-resolution process-based river network models with a graph-based ML model capable of modeling spatiotemporal processes. Results show that the ML model can approximate the dynamics of the process model with high fidelity, and data fusion further improves the forecasting skill.
Marvin Höge, Andreas Scheidegger, Marco Baity-Jesi, Carlo Albert, and Fabrizio Fenicia
Hydrol. Earth Syst. Sci., 26, 5085–5102,Short summary
Neural ODEs fuse physics-based models with deep learning: neural networks substitute terms in differential equations that represent the mechanistic structure of the system. The approach combines the flexibility of machine learning with physical constraints for inter- and extrapolation. We demonstrate that neural ODE models achieve state-of-the-art predictive performance while keeping full interpretability of model states and processes in hydrologic modelling over multiple catchments.
Jing Tian, Zhengke Pan, Shenglian Guo, Jiabo Yin, Yanlai Zhou, and Jun Wang
Hydrol. Earth Syst. Sci., 26, 4853–4874,Short summary
Most of the literature has focused on the runoff response to climate change, while neglecting the impacts of the potential variation in the active catchment water storage capacity (ACWSC) that plays an essential role in the transfer of climate inputs to the catchment runoff. This study aims to systematically identify the response of the ACWSC to a long-term meteorological drought and asymptotic climate change.
Riccardo Rigon, Giuseppe Formetta, Marialaura Bancheri, Niccolò Tubini, Concetta D'Amato, Olaf David, and Christian Massari
Hydrol. Earth Syst. Sci., 26, 4773–4800,Short summary
Digital Earth(DE) metaphor is very useful for both end users and hydrological modelers. We analyse different categories of models, with the view of making them part of a Digital eARth Twin Hydrology system (called DARTH). We also stress the idea that DARTHs are not models in and of themselves, rather they need to be built on an appropriate information technology infrastructure. It is remarked that DARTHs have to, by construction, support the open-science movement and its ideas.
Hapu Arachchige Prasantha Hapuarachchi, Mohammed Abdul Bari, Aynul Kabir, Mohammad Mahadi Hasan, Fitsum Markos Woldemeskel, Nilantha Gamage, Patrick Daniel Sunter, Xiaoyong Sophie Zhang, David Ewen Robertson, James Clement Bennett, and Paul Martinus Feikema
Hydrol. Earth Syst. Sci., 26, 4801–4821,Short summary
Methodology for developing an operational 7-day ensemble streamflow forecasting service for Australia is presented. The methodology is tested for 100 catchments to learn the characteristics of different NWP rainfall forecasts, the effect of post-processing, and the optimal ensemble size and bootstrapping parameters. Forecasts are generated using NWP rainfall products post-processed by the CHyPP model, the GR4H hydrologic model, and the ERRIS streamflow post-processor inbuilt in the SWIFT package
Chenhao Chai, Lei Wang, Deliang Chen, Jing Zhou, Hu Liu, Jingtian Zhang, Yuanwei Wang, Tao Chen, and Ruishun Liu
Hydrol. Earth Syst. Sci., 26, 4657–4683,Short summary
This work quantifies future snow changes and their impacts on hydrology in the upper Salween River (USR) under SSP126 and SSP585 using a cryosphere–hydrology model. Future warm–wet climate is not conducive to the development of snow. The rain–snow-dominated pattern of runoff will shift to a rain-dominated pattern after the 2040s under SSP585 but is unchanged under SSP126. The findings improve our understanding of cryosphere–hydrology processes and can assist water resource management in the USR.
Remko C. Nijzink and Stanislaus J. Schymanski
Hydrol. Earth Syst. Sci., 26, 4575–4585,Short summary
Most catchments plot close to the empirical Budyko curve, which allows for the estimation of the long-term mean annual evaporation and runoff. The Budyko curve can be defined as a function of a wetness index or a dryness index. We found that differences can occur and that there is an uncertainty due to the different formulations.
Anna Msigwa, Celray James Chawanda, Hans C. Komakech, Albert Nkwasa, and Ann van Griensven
Hydrol. Earth Syst. Sci., 26, 4447–4468,Short summary
Studies using agro-hydrological models, like the Soil and Water Assessment Tool (SWAT), to map evapotranspiration (ET) do not account for cropping seasons. A comparison between the default SWAT+ set-up (with static land use representation) and a dynamic SWAT+ model set-up (with seasonal land use representation) is made by spatial mapping of the ET. The results show that ET with seasonal representation is closer to remote sensing estimates, giving better performance than ET with static land use.
Jerom P. M. Aerts, Rolf W. Hut, Nick C. van de Giesen, Niels Drost, Willem J. van Verseveld, Albrecht H. Weerts, and Pieter Hazenberg
Hydrol. Earth Syst. Sci., 26, 4407–4430,Short summary
In recent years gridded hydrological modelling moved into the realm of hyper-resolution modelling (<10 km). In this study, we investigate the effect of varying grid-cell sizes for the wflow_sbm hydrological model. We used a large sample of basins from the CAMELS data set to test the effect that varying grid-cell sizes has on the simulation of streamflow at the basin outlet. Results show that there is no single best grid-cell size for modelling streamflow throughout the domain.
Taher Chegini and Hong-Yi Li
Hydrol. Earth Syst. Sci., 26, 4279–4300,Short summary
Belowground urban stormwater networks (BUSNs) play a critical and irreplaceable role in preventing or mitigating urban floods. However, they are often not available for urban flood modeling at regional or larger scales. We develop a novel algorithm to estimate existing BUSNs using ubiquitously available aboveground data at large scales based on graph theory. The algorithm has been validated in different urban areas; thus, it is well transferable.
Simon Ricard, Philippe Lucas-Picher, Antoine Thiboult, and François Anctil
Hydrol. Earth Syst. Sci. Discuss.,
Revised manuscript accepted for HESSShort summary
A simplified hydroclimatic modelling workflow is proposed to quantify the impact of climate change on water discharge without resorting to meteorological observations. Results confirm 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.
Yi Nan, Zhihua He, Fuqiang Tian, Zhongwang Wei, and Lide Tian
Hydrol. Earth Syst. Sci., 26, 4147–4167,Short summary
Tracer-aided hydrological models are useful tool to reduce uncertainty of hydrological modeling in cold basins, but there is little guidance on the sampling strategy for isotope analysis, which is important for large mountainous basins. This study evaluated the reliance of the tracer-aided modeling performance on the availability of isotope data in the Yarlung Tsangpo river basin, and provides implications for collecting water isotope data for running tracer-aided hydrological models.
Dapeng Feng, Hylke Beck, Kathryn Lawson, and Chaopeng Shen
Hydrol. Earth Syst. Sci. Discuss.,
Revised manuscript accepted for HESSShort summary
Hybrid models (we call δ models) that embrace the fundamental learning capability of AI but can explain all the physical processes can be powerful. In this paper we assess how they perform when applied in 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. δ models could be ideal candidates for global hydrologic assessments.
Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, and Yossi Matias
Hydrol. Earth Syst. Sci., 26, 4013–4032,Short summary
Early flood warnings are one of the most effective tools to save lives and goods. Machine learning (ML) models can improve flood prediction accuracy but their use in operational frameworks is limited. The paper presents a flood warning system, operational in India and Bangladesh, that uses ML models for forecasting river stage and flood inundation maps and discusses the models' performances. In 2021, more than 100 million flood alerts were sent to people near rivers over an area of 470 000 km2.
Matthias Sprenger, Pilar Llorens, Francesc Gallart, Paolo Benettin, Scott T. Allen, and Jérôme Latron
Hydrol. Earth Syst. Sci., 26, 4093–4107,Short summary
Our catchment-scale transit time modeling study shows that including stable isotope data on evapotranspiration in addition to the commonly used stream water isotopes helps constrain the model parametrization and reveals that the water taken up by plants has resided longer in the catchment storage than the water leaving the catchment as stream discharge. This finding is important for our understanding of how water is stored and released, which impacts the water availability for plants and humans.
Lorenzo Alfieri, Francesco Avanzi, Fabio Delogu, Simone Gabellani, Giulia Bruno, Lorenzo Campo, Andrea Libertino, Christian Massari, Angelica Tarpanelli, Dominik Rains, Diego G. Miralles, Raphael Quast, Mariette Vreugdenhil, Huan Wu, and Luca Brocca
Hydrol. Earth Syst. Sci., 26, 3921–3939,Short summary
This work shows advances in high-resolution satellite data for hydrology. We performed hydrological simulations for the Po River basin using various satellite products, including precipitation, evaporation, soil moisture, and snow depth. Evaporation and snow depth improved a simulation based on high-quality ground observations. Interestingly, a model calibration relying on satellite data skillfully reproduces observed discharges, paving the way to satellite-driven hydrological applications.
Bruno Majone, Diego Avesani, Patrick Zulian, Aldo Fiori, and Alberto Bellin
Hydrol. Earth Syst. Sci., 26, 3863–3883,Short summary
In this work, we introduce a methodology for devising reliable future high streamflow scenarios from climate change simulations. The calibration of a hydrological model is carried out to maximize the probability that the modeled and observed high flow extremes belong to the same statistical population. Application to the Adige River catchment (southeastern Alps, Italy) showed that this procedure produces reliable quantiles of the annual maximum streamflow for use in assessment studies.
Pedro V. G. Batista, Peter Fiener, Simon Scheper, and Christine Alewell
Hydrol. Earth Syst. Sci., 26, 3753–3770,Short summary
Patchy agricultural landscapes have a large number of small fields, which are separated by linear features such as roads and field borders. When eroded sediments are transported out of the agricultural fields by surface runoff, these features can influence sediment connectivity. By use of measured data and a simulation model, we demonstrate how a dense road network (and its drainage system) facilitates sediment transport from fields to water courses in a patchy Swiss agricultural catchment.
Juliane Mai, Hongren Shen, Bryan A. Tolson, Étienne Gaborit, Richard Arsenault, James R. Craig, Vincent Fortin, Lauren M. Fry, Martin Gauch, Daniel Klotz, Frederik Kratzert, Nicole O'Brien, Daniel G. Princz, Sinan Rasiya Koya, Tirthankar Roy, Frank Seglenieks, Narayan K. Shrestha, André G. T. Temgoua, Vincent Vionnet, and Jonathan W. Waddell
Hydrol. Earth Syst. Sci., 26, 3537–3572,Short summary
Model intercomparison studies are carried out to test various models and compare the quality of their outputs over the same domain. In this study, 13 diverse model setups using the same input data are evaluated over the Great Lakes region. Various model outputs – such as streamflow, evaporation, soil moisture, and amount of snow on the ground – are compared using standardized methods and metrics. The basin-wise model outputs and observations are made available through an interactive website.
Aurélien Beaufort, Jacob S. Diamond, Eric Sauquet, and Florentina Moatar
Hydrol. Earth Syst. Sci., 26, 3477–3495,Short summary
We developed one of the largest stream temperature databases to calculate a simple, ecologically relevant metric – the thermal peak – that captures the magnitude of summer thermal extremes. Using statistical models, we extrapolated the thermal peak to nearly every stream in France, finding the hottest thermal peaks along large rivers without forested riparian zones and groundwater inputs. Air temperature was a poor proxy for the thermal peak, highlighting the need to grow monitoring networks.
Ulises M. Sepúlveda, Pablo A. Mendoza, Naoki Mizukami, and Andrew J. Newman
Hydrol. Earth Syst. Sci., 26, 3419–3445,Short summary
This paper characterizes parameter sensitivities across more than 5500 grid cells for a commonly used macroscale hydrological model, including a suite of eight performance metrics and 43 soil, vegetation and snow parameters. The results show that the model is highly overparameterized and, more importantly, help to provide guidance on the most relevant parameters for specific target processes across diverse climatic types.
Jonathan M. Frame, Frederik Kratzert, Daniel Klotz, Martin Gauch, Guy Shalev, Oren Gilon, Logan M. Qualls, Hoshin V. Gupta, and Grey S. Nearing
Hydrol. Earth Syst. Sci., 26, 3377–3392,Short summary
The most accurate rainfall–runoff predictions are currently based on deep learning. There is a concern among hydrologists that deep learning models may not be reliable in extrapolation or for predicting extreme events. This study tests that hypothesis. The deep learning models remained relatively accurate in predicting extreme events compared with traditional models, even when extreme events were not included in the training set.
Sebastian A. Krogh, Lucia Scaff, James W. Kirchner, Beatrice Gordon, Gary Sterle, and Adrian Harpold
Hydrol. Earth Syst. Sci., 26, 3393–3417,Short summary
We present a new way to detect snowmelt using daily cycles in streamflow driven by solar radiation. Results show that warmer sites have earlier and more intermittent snowmelt than colder sites, and the timing of early snowmelt events is strongly correlated with the timing of streamflow volume. A space-for-time substitution shows greater sensitivity of streamflow timing to climate change in colder rather than in warmer places, which is then contrasted with land surface simulations.
Wouter J. M. Knoben and Diana Spieler
Hydrol. Earth Syst. Sci., 26, 3299–3314,Short summary
This paper introduces educational materials that can be used to teach students about model structure uncertainty in hydrological modelling. There are many different hydrological models and differences between these models impact their usefulness in different places. Such models are often used to support decision making about water resources and to perform hydrological science, and it is thus important for students to understand that model choice matters.
Leonie Kiewiet, Ernesto Trujillo, Andrew Hedrick, Scott Havens, Katherine Hale, Mark Seyfried, Stephanie Kampf, and Sarah E. Godsey
Hydrol. Earth Syst. Sci., 26, 2779–2796,Short summary
Climate change affects precipitation phase, which can propagate into changes in streamflow timing and magnitude. This study examines how variations in rainfall and snowmelt affect discharge. We found that annual discharge and stream cessation depended on the magnitude and timing of rainfall and snowmelt and on the snowpack melt-out date. This highlights the importance of precipitation timing and emphasizes the need for spatiotemporally distributed simulations of snowpack and rainfall dynamics.
Akaike, H.: A new look at the statistical model identification, Automatic Control, IEEE Transactions on, 19, 716–723, 1974.
Barry, R. G. and Chorley, R. J.: Atmosphere, weather and climate, Routledge, 536 pp., 2009.
Belyaev, V. R., Golosov, V. N., Ivanova, N. N., Markelov, M. V., and Tishkina, E. V.: Human-accelerated soil redistribution within an intensively cultivated dry valley catchment in southern European Russia, IAHS-P, 291, 11–20, 2005.
Capolongo, D., Diodato, N., Mannaerts, C. M., Piccarreta, M., and Strobl, R. O.: Analyzing temporal changes in climate erosivity using a simplified rainfall erosivity model in Basilicata (southern Italy), J. Hydrol., 356, 119–130, https://doi.org/10.1016/j.jhydrol.2008.04.002, 2008.
Chartin, C., Evrard, O., Onda, Y., Patin, J., Lefèvre, I., Ottlé, C., Ayrault, S., Lepage, H., and Bonté, P.: Tracking the early dispersion of contaminated sediment along rivers draining the Fukushima radioactive pollution plume, Anthropocene, 1, 23–34, 2013.
Chartin, C., Evrard, O., Onda, Y., Laceby, P., Cerdan, O., Lepage, H., Ottlé, C., Lefèvre, I., and Bonté, P.: The impact of typhoons on sediment connectivity: Lessons learnt from contaminated coastal catchments of Fukushima Prefecture (Japan), Earth Surf. Process. Landf., in revision, 2016.
Chino, M., Nakayama, H., Nagai, H., Terada, H., Katata, G., and Yamazawa, H.: Preliminary estimation of release amounts of 131I and 137Cs accidentally discharged from the Fukushima Daiichi nuclear power plant into the atmosphere, J. Nucl. Sci. Technol., 48, 1129–1134, 2011.
Daly, C.: Variable influence of terrain on precipitation patterns: Delineation and use of effective terrain height in PRISM, World Wide Web document, http://www.ocs.orst.edu/prism/effter.pdf (last access: 15 April 2016), 2002.
Daly, C., Gibson, W. P., Taylor, G. H., Johnson, G. L., and Pasteris, P.: A knowledge-based approach to the statistical mapping of climate, Clim. Res., 22, 99–113, 2002.
de Brogniez, D., Ballabio, C., Stevens, A., Jones, R., Montanarella, L., and van Wesemael, B.: A map of the topsoil organic carbon content of Europe generated by a generalized additive model, Europ. J. Soil Sci., 66, 121–134, 2015.
Duan, W., He, B., Takara, K., Luo, P., Hu, M., Alias, N. E., and Nover, D.: Changes of precipitation amounts and extremes over Japan between 1901 and 2012 and their connection to climate indices, Clim. Dynam., 45, 2273–2292, 2015.
Eltaif, N. I., Gharaibeh, M. A., Al-Zaitawi, F., and Alhamad, M. N.: Approximation of Rainfall Erosivity Factors in North Jordan, Pedosphere, 20, 711–717, https://doi.org/10.1016/S1002-0160(10)60061-6, 2010.
ESRI: ArcGIS Desktop: Release 10, Redlands, Environmental Systems Research Institute, CA, 2011.
Evrard, O., Chartin, C., Onda, Y., Patin, J., Lepage, H., Lefèvre, I., Ayrault, S., Ottlé, C., and Bonté, P.: Evolution of radioactive dose rates in fresh sediment deposits along coastal rivers draining Fukushima contamination plume, Scientific reports, 3, 3079, https://doi.org/10.1038/srep03079, 2013.
Evrard, O., Chartin, C., Onda, Y., Lepage, H., Cerdan, O., Lefevre, I., and Ayrault, S.: Renewed soil erosion and remobilisation of radioactive sediment in Fukushima coastal rivers after the 2013 typhoons, Sci. Rep., 4, 4574, https://doi.org/10.1038/srep04574, 2014.
Evrard, O., Laceby, J. P., Lepage, H., Onda, Y., Cerdan, O., and Ayrault, S.: Radiocesium transfer from hillslopes to the Pacific Ocean after the Fukushima Nuclear Power Plant accident: A review, J. Environ. Radioactiv., 148, 92–110, https://doi.org/10.1016/j.jenvrad.2015.06.018, 2015.
García-Oliva, F., Maass, J. M., and Galicia, L.: Rainstorm Analysis and Rainfall Erosivity of a Seasonal Tropical Region with a Strong Cyclonic Influence on the Pacific Coast of Mexico, J. Appl. Meteorol., 34, 2491–2498, https://doi.org/10.1175/1520-0450(1995)034<2491:RAAREO>2.0.CO;2, 1995.
Hastie, T. and Tibshirani, R.: Generalized additive models, Statistical science, 297–310, 1986.
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., and Jarvis, A.: Very high resolution interpolated climate surfaces for global land areas, Int. J. Climatol., 25, 1965–1978, 2005.
Jarvis, A., Reuter, H. I., Nelson, A., and Guevara, E.: Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m Database http://srtm.csi.cgiar.org (last access: 15 April 2016), 2008.
JMA (Japanese Meteorological Agency) RSMC Tokyo – Typhoon Center: http://www.jma.go.jp/jma/jma-eng/jma-center/rsmc-hp-pub-eg/RSMC_HP.htm, last access: 12 February 2016.
Karki, K. B. and Shibano, H.: Soil loss in a forested watershed underlain by deeply weathered granite: comparison of observations to predictions of a GIS-based USLE, Bulletin of the Tokyo University Forests, 2006.
Karydas, C. G., Tzoraki, O., and Panagos, P.: A New Spatiotemporal Risk Index for Heavy Metals: Application in Cyprus, Water, 7, 4323–4342, 2015.
Kato, H., Onda, Y., and Teramage, M.: Depth distribution of 137Cs, 134Cs, and 131I in soil profile after Fukushima Dai-ichi Nuclear Power Plant Accident, J. Environ. Radioactiv., 111, 59–64, https://doi.org/10.1016/j.jenvrad.2011.10.003, 2012.
Kim, S., Nakakita, E., Tachikawa, Y., and Takara, K.: Precipitation changes in Japan under the A1B climate change scenario, Ann. J. Hydr. Eng., 54, 127–132, 2010.
Kinnell, P. I. A.: Event soil loss, runoff and the Universal Soil Loss Equation family of models: A review, J. Hydrol., 385, 384–397, https://doi.org/10.1016/j.jhydrol.2010.01.024, 2010.
Kitamura, A., Yamaguchi, M., Kurikami, H., Yui, M., and Onishi, Y.: Predicting sediment and cesium-137 discharge from catchments in eastern Fukushima, Anthropocene, 5, 22–31, https://doi.org/10.1016/j.ancene.2014.07.001, 2014.
Larionov, G.: Erosion and deflation of soils, Moscow University Press, Moscow, Russia, 200 pp., 1993.
Lee, J.-H. and Heo, J.-H.: Evaluation of estimation methods for rainfall erosivity based on annual precipitation in Korea, J. Hydrol., 409, 30–48, https://doi.org/10.1016/j.jhydrol.2011.07.031, 2011.
Lu, H. and Yu, B.: Spatial and seasonal distribution of rainfall erosivity in Australia, Soil Research, 40, 887-901, 2002.
Ma, X., He, Y., Xu, J., van Noordwijk, M., and Lu, X.: Spatial and temporal variation in rainfall erosivity in a Himalayan watershed, CATENA, 121, 248–259, https://doi.org/10.1016/j.catena.2014.05.017, 2014.
McFarlane, D., Westcott, T., and Davies, J.: Rainfall erosivity in Western Australia, Hydrology and Water Resources Symposium 1986: River Basin Management, Preprints of Papers, 350, 1986.
Mello, C. R., Viola, M. R., Beskow, S., and Norton, L. D.: Multivariate models for annual rainfall erosivity in Brazil, Geoderma, 202–203, 88–102, https://doi.org/10.1016/j.geoderma.2013.03.009, 2013.
Meusburger, K., Steel, A., Panagos, P., Montanarella, L., and Alewell, C.: Spatial and temporal variability of rainfall erosivity factor for Switzerland, Hydrol. Earth Syst. Sci., 16, 167–177, https://doi.org/10.5194/hess-16-167-2012, 2012.
Moore, T.: Rainfall erosivity in East Africa, Phys. Geogr., 147–156, 1979.
Mouri, G., Golosov, V., Shiiba, M., and Hori, T.: Assessment of the caesium-137 flux adsorbed to suspended sediment in a reservoir in the contaminated Fukushima region in Japan, Environ. Pollut., 187, 31–41, https://doi.org/10.1016/j.envpol.2013.12.018, 2014.
Nagao, S., Kanamori, M., Ochiai, S., Tomihara, S., Fukushi, K., and Yamamoto, M.: Export of 134Cs and 137Cs in the Fukushima river systems at heavy rains by Typhoon Roke in September 2011, Biogeosciences, 10, 6215–6223, https://doi.org/10.5194/bg-10-6215-2013, 2013.
Nazarok, P., Kruglov, O., Menshov, O., Kutsenko, M., and Sukhorada, A.: Mapping soil erosion using magnetic susceptibility. A case study in Ukraine, Solid Earth Discuss., 6, 831–848, https://doi.org/10.5194/sed-6-831-2014, 2014.
Oliveira, P. T. S., Wendland, E., and Nearing, M. A.: Rainfall erosivity in Brazil: A review, CATENA, 100, 139–147, https://doi.org/10.1016/j.catena.2012.08.006, 2013.
Onishi, Y., Kurikami, H., and Yokuda, S.: Simulation of Sediment and Cesium Transport in the Ukedo River and the Ogi Dam Reservoir during a Rainfall Event using the TODAM Code, Pacific Northwest National Laboratory (PNNL), Richland, WA, 124 pp., 2014.
Panagos, P., Ballabio, C., Borrelli, P., Meusburger, K., Klik, A., Rousseva, S., Tadić, M. P., Michaelides, S., Hrabaliková, M., and Olsen, P.: Rainfall erosivity in Europe, Sci. Total Environ., 511, 801–814, 2015.
Peel, M. C., Finlayson, B. L., and McMahon, T. A.: Updated world map of the Köppen-Geiger climate classification, Hydrol. Earth Syst. Sci., 11, 1633–1644, https://doi.org/10.5194/hess-11-1633-2007, 2007.
Poggio, L., Gimona, A., and Brewer, M. J.: Regional scale mapping of soil properties and their uncertainty with a large number of satellite-derived covariates, Geoderma, 209, 1–14, 2013.
Renard, K. G. and Freimund, J. R.: Using monthly precipitation data to estimate the R factor in the revised USLE, J. Hydrol., 157, 287–306, https://doi.org/10.1016/0022-1694(94)90110-4, 1994.
Renard, K. G., Foster, G. R., Weesies, G. A., and Porter, J. P.: RUSLE: Revised universal soil loss equation, J. Soil Water Conserv., 46, 30–33, 1991.
Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D., and Yoder, D.: Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE), Agriculture Handbook Washington, 403 pp., 1997.
Rosa, D. D. L., Crompvoets, J., Mayol, F., and Moreno, J. A.: Land vulnerability evaluation and climate change impacts in Andalucia, Agrophys. J., 10, 225–238, 1996.
Saito, K. and Onda, Y.: Outline of the national mapping projects implemented after the Fukushima accident, J. Environ. Radioactiv., 139, 240–249, 2015.
Saito, K., Tanihata, I., Fujiwara, M., Saito, T., Shimoura, S., Otsuka, T., Onda, Y., Hoshi, M., Ikeuchi, Y., and Takahashi, F.: Detailed deposition density maps constructed by large-scale soil sampling for gamma-ray emitting radioactive nuclides from the Fukushima Dai-ichi Nuclear Power Plant accident, J. Environ. Radioactiv., 139, 308–319, 2015.
Sawhiney, B.: Selective sorption and fixation of cations by clay minerals: a review, Clays Clay Miner, 20, 93–100, 1972.
Shamshad, A., Azhari, M. N., Isa, M. H., Hussin, W. M. A. W., and Parida, B. P.: Development of an appropriate procedure for estimation of RUSLE EI30 index and preparation of erosivity maps for Pulau Penang in Peninsular Malaysia, CATENA, 72, 423–432, https://doi.org/10.1016/j.catena.2007.08.002, 2008.
Shiono, T., Ogawa, S., Miyamoto, T., and Kameyama, K.: Expected impacts of climate change on rainfall erosivity of farmlands in Japan, Ecol. Eng., 61, 678–689, 2013.
Svetlitchnyi, A.: Soil Erosion Induced Degradation of Agrolandscapes in Ukraine: Modeling, Computation and Prediction in Conditions of the Climate Changes, in: Regional Aspects of Climate-Terrestrial-Hydrologic Interactions in Non-boreal Eastern Europe, edited by: Groisman, P., and Ivanov, S., NATO Science for Peace and Security Series C: Environmental Security, Springer Netherlands, 191–199, 2009.
Takeuchi, B. K. and Ishidaira, H.: The examination of sediment production estimation by the USLE method in mountainous basins of Japan, Hydr. Eng., 45, 85–90, 2001.
Tamura, T.: Consequences of activity release: selective sorption reactions of cesium with soil minerals, Nucl. Safety 5, 262–268, 1964.
Thakur, P., Ballard, S., and Nelson, R.: An overview of Fukushima radionuclides measured in the northern hemisphere, Sci. Total Environ., 458–460, 577–613, https://doi.org/10.1016/j.scitotenv.2013.03.105, 2013.
Tran, T. A., Mitani, Y., Ikemi, H., and Matsuki, H.: Human Impacts on Erosion and Deposition in Onga River Basin, Kyushu, Japan, Memoirs of the Faculty of Engineering, Kyushu University, 71, 47–65, 2011.
USDA: Rainfall Intensity Summarization Tool (RIST), United States Department of Agriculture (USDA), Agriculture Research Service, National Sedimentation Laboratory, Oxford, Mississippi, Version 3.88, 2013.
Wang, X. L., Chen, H., Wu, Y., Feng, Y., and Pu, Q.: New Techniques for the Detection and Adjustment of Shifts in Daily Precipitation Data Series, J. Appl. Meteorol. Climatol., 49, 2416–2436, https://doi.org/10.1175/2010JAMC2376.1, 2010.
Wikipedia Pacific typhoon climatology: https://en.wikipedia.org/wiki/Pacific_typhoon_climatology, last access: 13 February 2016.
Wilkinson, S. N., Prosser, I. P., Rustomji, P., and Read, A. M.: Modelling and testing spatially distributed sediment budgets to relate erosion processes to sediment yields, Environ. Model. Softw., 24, 489–501, 2009.
Wischmeier, W. H. and Smith, D. D.: Rainfall energy and its relationship to soil loss, T. Am. Geophys. Union, 39, 285–291, https://doi.org/10.1029/TR039i002p00285, 1958.
Wischmeier, W. H. and Smith, D. D.: Predicting rainfall erosion losses-A guide to conservation planning, Predicting rainfall erosion losses – A guide to conservation planning, 58 pp., 1978.
Wood, S. N.: mgcv: GAMs and generalized ridge regression for r, R news, 1, 2–25, 2001.
Yamaguchi, M., Kitamura, A., Oda, Y., and Onishi, Y.: Predicting the long-term 137Cs distribution in Fukushima after the Fukushima Dai-ichi nuclear power plant accident: a parameter sensitivity analysis, J. Environ. Radioactiv., 135, 135–146, https://doi.org/10.1016/j.jenvrad.2014.04.011, 2014.
Yamashiki, Y., Onda, Y., Smith, H. G., Blake, W. H., Wakahara, T., Igarashi, Y., Matsuura, Y., and Yoshimura, K.: Initial flux of sediment-associated radiocesium to the ocean from the largest river impacted by Fukushima Daiichi Nuclear Power Plant, Sci. Reports, 4, https://doi.org/10.1038/srep03714, 2014.
Yoshimura, K., Onda, Y., and Kato, H.: Evaluation of radiocaesium wash-off by soil erosion from various land uses using USLE plots, J. Environ. Radioactiv., 139, 362–369, https://doi.org/10.1016/j.jenvrad.2014.07.019, 2015.
Yu, B., Hashim, G., and Eusof, Z.: Estimating the R factor with limited rainfall data: a case study from peninsular Malaysia, Journal of Soil and Water Conservation, 56, 101–105, 2001.
Zar, J. H.: Biostatistical Analysis, 5th Edition ed., Prentice Hall, New Jersey, 960 pp., 2010.
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Characterizing rainfall erosivity in the Fukushima fallout-impacted region is important for predicting radiocesium behavior. The majority of rainfall (60 %) and rainfall erosivity (86 %) occurs between June and October. Tropical cyclones contribute 22 % of the precipitation though 44 % of the rainfall erosivity. Understanding the rainfall regime and the influence of tropical cyclones is important managing radiocesium transfers in contaminated catchments in the Fukushima prefecture.
Characterizing rainfall erosivity in the Fukushima fallout-impacted region is important for...