Articles | Volume 22, issue 3
https://doi.org/10.5194/hess-22-1695-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-22-1695-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Mar 2018
Research article |
| 08 Mar 2018
Regional soil erosion assessment based on a sample survey and geostatistics
Shuiqing Yin
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Zhengyuan Zhu
Department of Statistics, Iowa State University, Ames, 50010, USA
Li Wang
Department of Statistics, Iowa State University, Ames, 50010, USA
Baoyuan Liu
CORRESPONDING AUTHOR
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Yun Xie
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Guannan Wang
Department of Mathematics, College of William & Mary, Williamsburg, 23185, USA
Yishan Li
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
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Hydrol. Earth Syst. Sci., 27, 4563–4577, https://doi.org/10.5194/hess-27-4563-2023, https://doi.org/10.5194/hess-27-4563-2023, 2023
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An exceptionally heavy rainfall event occurred on 20 July 2021 in central China (the 7.20 storm). The storm presents a rare opportunity to examine the extreme rainfall erosivity. The storm, with an average recurrence interval of at least 10 000 years, was the largest in terms of its rainfall erosivity on record over the past 70 years in China. The study suggests that extreme erosive events can occur anywhere in eastern China and are not necessarily concentrated in low latitudes.
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This paper provides new rainfall erosivity maps over mainland China based on hourly data from 2381 stations (available at https://doi.org/10.12275/bnu.clicia.rainfallerosivity.CN.001). The improvement from the previous work was also assessed. The improvement in the R-factor map occurred mainly in the western region, because of an increase in the number of stations and an increased temporal resolution from daily to hourly data.
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A gridded input dataset at a 10 km resolution of a weather generator, CLIGEN, was established for mainland China. Based on this, CLIGEN can generate a series of daily temperature, solar radiation, precipitation data, and rainfall intensity information. In each grid, the input file contains 13 groups of parameters. All parameters were first calculated based on long-term observations and then interpolated by universal kriging. The accuracy of the gridded input dataset has been fully assessed.
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Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-633, https://doi.org/10.5194/hess-2020-633, 2020
Publication in HESS not foreseen
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This study quantified the bias of rainfall erosivity estimated from gridded precipitation data, and the results showed the grid-estimated mean annual rainfall erosivity were underestimated by 15–40 % in the eastern China. The scale difference between gridded data and gauge data was the main cause. In application, the empirical models established based on gauge data should not be used directly for gridded data, or a bias correction process needed to be considered for the model outputs.
S. Yin, Y. Xie, B. Liu, and M. A. Nearing
Hydrol. Earth Syst. Sci., 19, 4113–4126, https://doi.org/10.5194/hess-19-4113-2015, https://doi.org/10.5194/hess-19-4113-2015, 2015
Yuanyuan Xiao, Shuiqing Yin, Bofu Yu, Conghui Fan, Wenting Wang, and Yun Xie
Hydrol. Earth Syst. Sci., 27, 4563–4577, https://doi.org/10.5194/hess-27-4563-2023, https://doi.org/10.5194/hess-27-4563-2023, 2023
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An exceptionally heavy rainfall event occurred on 20 July 2021 in central China (the 7.20 storm). The storm presents a rare opportunity to examine the extreme rainfall erosivity. The storm, with an average recurrence interval of at least 10 000 years, was the largest in terms of its rainfall erosivity on record over the past 70 years in China. The study suggests that extreme erosive events can occur anywhere in eastern China and are not necessarily concentrated in low latitudes.
Tao Zhang, Yuyu Zhou, Kaiguang Zhao, Zhengyuan Zhu, Gang Chen, Jia Hu, and Li Wang
Earth Syst. Sci. Data, 14, 5637–5649, https://doi.org/10.5194/essd-14-5637-2022, https://doi.org/10.5194/essd-14-5637-2022, 2022
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We generated a global 1 km daily maximum and minimum near-surface air temperature (Tmax and Tmin) dataset (2003–2020) using a novel statistical model. The average root mean square errors ranged from 1.20 to 2.44 °C for Tmax and 1.69 to 2.39 °C for Tmin. The gridded global air temperature dataset is of great use in a variety of studies such as the urban heat island phenomenon, hydrological modeling, and epidemic forecasting.
Tianyu Yue, Shuiqing Yin, Yun Xie, Bofu Yu, and Baoyuan Liu
Earth Syst. Sci. Data, 14, 665–682, https://doi.org/10.5194/essd-14-665-2022, https://doi.org/10.5194/essd-14-665-2022, 2022
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This paper provides new rainfall erosivity maps over mainland China based on hourly data from 2381 stations (available at https://doi.org/10.12275/bnu.clicia.rainfallerosivity.CN.001). The improvement from the previous work was also assessed. The improvement in the R-factor map occurred mainly in the western region, because of an increase in the number of stations and an increased temporal resolution from daily to hourly data.
Tao Zhang, Yuyu Zhou, Zhengyuan Zhu, Xiaoma Li, and Ghassem R. Asrar
Earth Syst. Sci. Data, 14, 651–664, https://doi.org/10.5194/essd-14-651-2022, https://doi.org/10.5194/essd-14-651-2022, 2022
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We generated a global seamless 1 km daily (mid-daytime and mid-nighttime) land surface temperature (LST) dataset (2003–2020) using MODIS LST products by proposing a spatiotemporal gap-filling framework. The average root mean squared errors of the gap-filled LST are 1.88°C and 1.33°C, respectively, in mid-daytime and mid-nighttime. The global seamless LST dataset is unique and of great use in studies on urban systems, climate research and modeling, and terrestrial ecosystem studies.
Wenting Wang, Shuiqing Yin, Bofu Yu, and Shaodong Wang
Earth Syst. Sci. Data, 13, 2945–2962, https://doi.org/10.5194/essd-13-2945-2021, https://doi.org/10.5194/essd-13-2945-2021, 2021
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A gridded input dataset at a 10 km resolution of a weather generator, CLIGEN, was established for mainland China. Based on this, CLIGEN can generate a series of daily temperature, solar radiation, precipitation data, and rainfall intensity information. In each grid, the input file contains 13 groups of parameters. All parameters were first calculated based on long-term observations and then interpolated by universal kriging. The accuracy of the gridded input dataset has been fully assessed.
Maoqing Wang, Shuiqing Yin, Tianyu Yue, Bofu Yu, and Wenting Wang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-633, https://doi.org/10.5194/hess-2020-633, 2020
Publication in HESS not foreseen
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This study quantified the bias of rainfall erosivity estimated from gridded precipitation data, and the results showed the grid-estimated mean annual rainfall erosivity were underestimated by 15–40 % in the eastern China. The scale difference between gridded data and gauge data was the main cause. In application, the empirical models established based on gauge data should not be used directly for gridded data, or a bias correction process needed to be considered for the model outputs.
Xuecao Li, Yuyu Zhou, Zhengyuan Zhu, and Wenting Cao
Earth Syst. Sci. Data, 12, 357–371, https://doi.org/10.5194/essd-12-357-2020, https://doi.org/10.5194/essd-12-357-2020, 2020
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The information of urban dynamics with fine spatial and temporal resolutions is highly needed in urban studies. In this study, we generated a long-term (1985–2015), fine-resolution (30 m) product of annual urban extent dynamics in the conterminous United States using all available Landsat images on the Google Earth Engine (GEE) platform. The data product is of great use for relevant studies such as urban growth projection, urban sprawl modeling, and urbanization impacts on environments.
S. Yin, Y. Xie, B. Liu, and M. A. Nearing
Hydrol. Earth Syst. Sci., 19, 4113–4126, https://doi.org/10.5194/hess-19-4113-2015, https://doi.org/10.5194/hess-19-4113-2015, 2015
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Subject: Water Resources Management | Techniques and Approaches: Modelling approaches
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Modeling hydropower operations at the scale of a power grid: a demand-based approach
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Hydrol. Earth Syst. Sci., 28, 4065–4083, https://doi.org/10.5194/hess-28-4065-2024, https://doi.org/10.5194/hess-28-4065-2024, 2024
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Lisa Tanika, Rika Ratna Sari, Arief Lukman Hakim, Meine van Noordwijk, Marielos Peña-Claros, Beria Leimona, Edi Purwanto, and Erika N. Speelman
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Pierre Laluet, Luis Olivera-Guerra, Víctor Altés, Vincent Rivalland, Alexis Jeantet, Julien Tournebize, Omar Cenobio-Cruz, Anaïs Barella-Ortiz, Pere Quintana-Seguí, Josep Maria Villar, and Olivier Merlin
Hydrol. Earth Syst. Sci., 28, 3695–3716, https://doi.org/10.5194/hess-28-3695-2024, https://doi.org/10.5194/hess-28-3695-2024, 2024
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Gláuber Pontes Rodrigues, Arlena Brosinsky, Ítalo Sampaio Rodrigues, George Leite Mamede, and José Carlos de Araújo
Hydrol. Earth Syst. Sci., 28, 3243–3260, https://doi.org/10.5194/hess-28-3243-2024, https://doi.org/10.5194/hess-28-3243-2024, 2024
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The research focuses on a 4-million-inhabitant tropical region supplied by a network of open-water reservoirs where the dry season lasts for 8 months (Jun−Dec). We analysed the impact of four climate change scenarios on the evaporation rate and the associated availability (water yield distributed per year). The worst-case scenario shows that by the end of the century (2071−2099), the evaporation rate in the dry season could increase by 6 %, which would reduce stored water by about 80 %.
Anjana Ekka, Yong Jiang, Saket Pande, and Pieter van der Zaag
Hydrol. Earth Syst. Sci., 28, 3219–3241, https://doi.org/10.5194/hess-28-3219-2024, https://doi.org/10.5194/hess-28-3219-2024, 2024
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For the first time, we analyse the economic and ecological performance of existing multiple big reservoirs on a daily timescale for a major river basin (upper Cauvery) in India, where pre-intervention data were not available but where there are increasing calls for such assessments. Results show that smaller reservoirs on smaller streams that maximize the economic value of stored water are better for the basin economy and the environment. The approach can help to prioritize dam removals.
Mohamad El Gharamti, Arezoo Rafieeinasab, and James L. McCreight
Hydrol. Earth Syst. Sci., 28, 3133–3159, https://doi.org/10.5194/hess-28-3133-2024, https://doi.org/10.5194/hess-28-3133-2024, 2024
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This study introduces a hybrid data assimilation scheme for precise streamflow predictions during intense rainfall and hurricanes. Tested in real events, it outperforms traditional methods by up to 50 %, utilizing ensemble and climatological background covariances. The adaptive algorithm ensures reliability with a small ensemble, offering improved forecasts up to 18 h in advance, marking a significant advancement in flood prediction capabilities.
Alexander Herr, Linda E. Merrin, Patrick J. Mitchell, Anthony P. O'Grady, Kate L. Holland, Richard E. Mount, David A. Post, Chris R. Pavey, and Ashley D. Sparrow
Hydrol. Earth Syst. Sci., 28, 1957–1979, https://doi.org/10.5194/hess-28-1957-2024, https://doi.org/10.5194/hess-28-1957-2024, 2024
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We develop an ecohydrological classification for regions with limited hydrological records. It provides causal links of landscape features and their water requirement. The classification is an essential framework for modelling the impact of future coal resource developments via water on the features. A rule set combines diverse data with prioritisation, resulting in a transparent, repeatable and adjustable approach. We show examples of linking ecohydrology with environmental impacts.
Jing Liu, Yue-Ping Xu, Wei Zhang, Shiwu Wang, and Siwei Chen
Hydrol. Earth Syst. Sci., 28, 1325–1350, https://doi.org/10.5194/hess-28-1325-2024, https://doi.org/10.5194/hess-28-1325-2024, 2024
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Applying optimal water allocation models to simultaneously enable economic benefits, water preferences, and environmental demands at different decision levels, timescales, and regions is a challenge. In this study, a process-based three-layer synergistic optimal-allocation model (PTSOA) is established to achieve these goals. Reused, reclaimed water is also coupled to capture environmentally friendly solutions. Network analysis was introduced to reduce competition among different stakeholders.
Manuel Quintanilla-Albornoz, Xavier Miarnau, Ana Pelechá, Héctor Nieto, and Joaquim Bellvert
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-5, https://doi.org/10.5194/hess-2024-5, 2024
Revised manuscript accepted for HESS
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Remote sensing can be a helpful tool for monitoring crop transpiration (T) for agricultural water management. Since remote sensing provides instantaneous data, upscaling techniques are required to estimate T on a daily scale. This study assesses optimal image acquisition times and four upscaling approaches to estimate daily T. The results indicate that the main errors derive from measurement time and water stress levels, which can be mitigated by choosing a proper upscaling approach.
Saskia Salwey, Gemma Coxon, Francesca Pianosi, Rosanna Lane, Chris Hutton, Michael Bliss Singer, Hilary McMillan, and Jim Freer
EGUsphere, https://doi.org/10.5194/egusphere-2024-326, https://doi.org/10.5194/egusphere-2024-326, 2024
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Reservoirs are essential for water resource management and can significantly impact downstream flow. However, representing reservoirs in hydrological models can be challenging, particularly across large-scales. We design a new, simple method for simulating river flow downstream of water supply reservoirs using only open-access data. We demonstrate the approach in 264 reservoir catchments across Great Britain where we can significantly improve the simulation of reservoir-impacted flow.
Bing-Yi Zhou, Guo-Hua Fang, Xin Li, Jian Zhou, and Hua-Yu Zhong
Hydrol. Earth Syst. Sci., 28, 817–832, https://doi.org/10.5194/hess-28-817-2024, https://doi.org/10.5194/hess-28-817-2024, 2024
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The current unreasonable inter-basin water transfer operation leads to the problem of spatial and temporal imbalances in water allocation. This paper defines a water deficit evenness index and incorporates it into a joint optimization model for the Jiangsu section of the South-to-North Water Diversion Project considering ecology and economy. At the same time, the lake storage capacity performs well, and the water transfer efficiency of the river is significantly improved.
Tossapol Phoophiwfa, Prapawan Chomphuwiset, Thanawan Prahadchai, Jeong-Soo Park, Arthit Apichottanakul, Watchara Theppang, and Piyapatr Busababodhin
Hydrol. Earth Syst. Sci., 28, 801–816, https://doi.org/10.5194/hess-28-801-2024, https://doi.org/10.5194/hess-28-801-2024, 2024
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This study examines the impact of extreme rainfall events on flood risk management in Thailand's Chi watershed. By analyzing historical data, we identified regions, notably Udon Thani and Chaiyaphum, with a high risk of flash flooding. To aid in flood risk assessment, visual maps were created. The study underscores the importance of preparing for extreme rainfall events, particularly in the context of climate change, to effectively mitigate potential flood damage.
Laure Baratgin, Jan Polcher, Patrice Dumas, and Philippe Quirion
EGUsphere, https://doi.org/10.5194/egusphere-2023-3106, https://doi.org/10.5194/egusphere-2023-3106, 2024
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Hydrological modeling is valuable for estimating the possible impacts of climate change on hydropower generation. In this study, we present a more comprehensive approach to model the management of hydroelectric reservoirs. The total power-grid demand is distributed to the various power plants according to their reservoir states to compute their release. The method is tested on France, and demonstrates that it succeeds in reproducing the observed behavior of reservoirs.
Elisabeth Brochet, Youen Grusson, Sabine Sauvage, Ludovic Lhuissier, and Valérie Demarez
Hydrol. Earth Syst. Sci., 28, 49–64, https://doi.org/10.5194/hess-28-49-2024, https://doi.org/10.5194/hess-28-49-2024, 2024
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This study aims to take into account irrigation withdrawals in a watershed model. The model we used combines agriculture and hydrological modeling. Two different crop models were compared, the first based on air temperature and the second based on Sentinel-2 satellite data. Results show that including remote sensing data leads to better emergence dates. Both methods allow us to simulate the daily irrigation withdrawals and downstream flow with a good accuracy, especially during low-flow periods.
Awad M. Ali, Lieke A. Melsen, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 27, 4057–4086, https://doi.org/10.5194/hess-27-4057-2023, https://doi.org/10.5194/hess-27-4057-2023, 2023
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Using a new approach based on a combination of modeling and Earth observation, useful information about the filling of the Grand Ethiopian Renaissance Dam can be obtained with limited data and proper rainfall selection. While the monthly streamflow into Sudan has decreased significantly (1.2 × 109–5 × 109 m3) with respect to the non-dam scenario, the negative impact has been masked due to higher-than-average rainfall. We reveal that the dam will need 3–5 more years to complete filling.
Rozemarijn ter Horst, Rossella Alba, Jeroen Vos, Maria Rusca, Jonatan Godinez-Madrigal, Lucie V. Babel, Gert Jan Veldwisch, Jean-Philippe Venot, Bruno Bonté, David W. Walker, and Tobias Krueger
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-164, https://doi.org/10.5194/hess-2023-164, 2023
Revised manuscript accepted for HESS
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The exact power of models often remains hidden, especially when neutrality is claimed. Our review of 49 scientific articles shows that in scientific literature little attention is given to the power of hydrological models to influence development processes and outcomes. However, that there is a lot to learn from those who are openly reflexive. Based on lessons from the review, we call for power-sensitive modelling which means that people are critical about how models made and with what effects.
Søren J. Kragh, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 27, 2463–2478, https://doi.org/10.5194/hess-27-2463-2023, https://doi.org/10.5194/hess-27-2463-2023, 2023
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This study investigates the precision of irrigation estimates from a global hotspot of unsustainable irrigation practice, the Indus and Ganges basins. We show that irrigation water use can be estimated with high precision by comparing satellite and rainfed hydrological model estimates of evapotranspiration. We believe that our work can support sustainable water resource management, as it addresses the uncertainty of a key component of the water balance that remains challenging to quantify.
Kerr J. Adams, Christopher A. J. Macleod, Marc J. Metzger, Nicola Melville, Rachel C. Helliwell, Jim Pritchard, and Miriam Glendell
Hydrol. Earth Syst. Sci., 27, 2205–2225, https://doi.org/10.5194/hess-27-2205-2023, https://doi.org/10.5194/hess-27-2205-2023, 2023
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We applied participatory methods to create a hybrid equation-based Bayesian network (BN) model to increase stakeholder understanding of catchment-scale resilience to the impacts of both climatic and socio-economic stressors to a 2050 time horizon. Our holistic systems-thinking approach enabled stakeholders to gain new perspectives on how future scenarios may influence their specific sectors and how their sector impacted other sectors and environmental conditions within the catchment system.
Afua Owusu, Jazmin Zatarain Salazar, Marloes Mul, Pieter van der Zaag, and Jill Slinger
Hydrol. Earth Syst. Sci., 27, 2001–2017, https://doi.org/10.5194/hess-27-2001-2023, https://doi.org/10.5194/hess-27-2001-2023, 2023
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The construction of two dams in the Lower Volta River, Ghana, adversely affected downstream riverine ecosystems and communities. In contrast, Ghana has enjoyed vast economic benefits from the dams. Herein lies the challenge; there exists a trade-off between water for river ecosystems and water for anthropogenic water demands such hydropower. In this study, we quantify these trade-offs and show that there is room for providing environmental flows under current and future climatic conditions.
Joel Z. Harms, Julien J. Malard-Adam, Jan F. Adamowski, Ashutosh Sharma, and Albert Nkwasa
Hydrol. Earth Syst. Sci., 27, 1683–1693, https://doi.org/10.5194/hess-27-1683-2023, https://doi.org/10.5194/hess-27-1683-2023, 2023
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To facilitate the meaningful participation of stakeholders in water management, model choice is crucial. We show how system dynamics models (SDMs), which are very visual and stakeholder-friendly, can be automatically combined with physically based hydrological models that may be more appropriate for modelling the water processes of a human–water system. This allows building participatory SDMs with stakeholders and delegating hydrological components to an external hydrological model.
Erhu Du, Feng Wu, Hao Jiang, Naliang Guo, Yong Tian, and Chunmiao Zheng
Hydrol. Earth Syst. Sci., 27, 1607–1626, https://doi.org/10.5194/hess-27-1607-2023, https://doi.org/10.5194/hess-27-1607-2023, 2023
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This study develops an integrated socio-hydrological modeling framework that can simulate the entire flood management processes, including flood inundation, flood management policies, public responses, and evacuation activities. The model is able to holistically examine flood evacuation performance under the joint impacts of hydrological conditions, management policies (i.e., shelter location distribution), and human behaviors (i.e., evacuation preparation time and route-searching strategy).
Mohammad Ghoreishi, Amin Elshorbagy, Saman Razavi, Günter Blöschl, Murugesu Sivapalan, and Ahmed Abdelkader
Hydrol. Earth Syst. Sci., 27, 1201–1219, https://doi.org/10.5194/hess-27-1201-2023, https://doi.org/10.5194/hess-27-1201-2023, 2023
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The study proposes a quantitative model of the willingness to cooperate in the Eastern Nile River basin. Our results suggest that the 2008 food crisis may account for Sudan recovering its willingness to cooperate with Ethiopia. Long-term lack of trust among the riparian countries may have reduced basin-wide cooperation. The model can be used to explore the effects of changes in future dam operations and other management decisions on the emergence of basin cooperation.
Richard Laugesen, Mark Thyer, David McInerney, and Dmitri Kavetski
Hydrol. Earth Syst. Sci., 27, 873–893, https://doi.org/10.5194/hess-27-873-2023, https://doi.org/10.5194/hess-27-873-2023, 2023
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Forecasts may be valuable for user decisions, but current practice to quantify it has critical limitations. This study introduces RUV (relative utility value, a new metric that can be tailored to specific decisions and decision-makers. It illustrates how critical this decision context is when evaluating forecast value. This study paves the way for agencies to tailor the evaluation of their services to customer decisions and researchers to study model improvements through the lens of user impact.
Efrain Noa-Yarasca, Meghna Babbar-Sebens, and Chris Jordan
Hydrol. Earth Syst. Sci., 27, 739–759, https://doi.org/10.5194/hess-27-739-2023, https://doi.org/10.5194/hess-27-739-2023, 2023
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Riparian vegetation has been identified as a strategy to control rising stream temperatures by shading streams. Riparian vegetation is included within a sub-basin-scale hydrological model and evaluated for full and efficient restoration scenarios. Results showed average temperature reductions of 0.91 and 0.86 °C for full and efficient riparian restoration, respectively. Notwithstanding the similar benefits, efficient restoration was 14.4 % cheaper than full riparian vegetation restoration.
Silvia Terzago, Giulio Bongiovanni, and Jost von Hardenberg
Hydrol. Earth Syst. Sci., 27, 519–542, https://doi.org/10.5194/hess-27-519-2023, https://doi.org/10.5194/hess-27-519-2023, 2023
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Reliable seasonal forecasts of the abundance of mountain snowpack over the winter/spring ahead provide valuable information for water management, hydropower production and ski tourism. We present a climate service prototype to generate multi-model ensemble seasonal forecasts of mountain snow depth, based on Copernicus seasonal forecast system meteorological data used to force the SNOWPACK model. The prototype shows skill at predicting snow depth below and above normal and extremely dry seasons.
Guang Yang, Matteo Giuliani, and Andrea Castelletti
Hydrol. Earth Syst. Sci., 27, 69–81, https://doi.org/10.5194/hess-27-69-2023, https://doi.org/10.5194/hess-27-69-2023, 2023
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Participatory decision-making is a well-established approach to address the increasing pressure on water systems that searches for system-wise efficient solutions but often does not quantify how the resulting benefits are distributed across stakeholders. In this work, we show how including equity principles into the design of water system operations enriches the solution space by generating more compromise solutions that balance efficiency and justice.
Aaron Heldmyer, Ben Livneh, James McCreight, Laura Read, Joseph Kasprzyk, and Toby Minear
Hydrol. Earth Syst. Sci., 26, 6121–6136, https://doi.org/10.5194/hess-26-6121-2022, https://doi.org/10.5194/hess-26-6121-2022, 2022
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Measurements of channel characteristics are important for accurate forecasting in the NOAA National Water Model (NWM) but are scarcely available. We seek to improve channel representativeness in the NWM by updating channel geometry and roughness parameters using a large, previously unpublished, dataset of approximately 48 000 gauges. We find that the updated channel parameterization from this new dataset leads to improvements in simulated streamflow performance and channel representation.
Friedrich Boeing, Oldrich Rakovec, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, Sabine Attinger, and Andreas Marx
Hydrol. Earth Syst. Sci., 26, 5137–5161, https://doi.org/10.5194/hess-26-5137-2022, https://doi.org/10.5194/hess-26-5137-2022, 2022
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In this paper, we deliver an evaluation of the second generation operational German drought monitor (https://www.ufz.de/duerremonitor) with a state-of-the-art compilation of observed soil moisture data from 40 locations and four different measurement methods in Germany. We show that the expressed stakeholder needs for higher resolution drought information at the one-kilometer scale can be met and that the agreement of simulated and observed soil moisture dynamics can be moderately improved.
Anahi Ocampo-Melgar, Pilar Barría, Cristián Chadwick, and Cesar Rivas
Hydrol. Earth Syst. Sci., 26, 5103–5118, https://doi.org/10.5194/hess-26-5103-2022, https://doi.org/10.5194/hess-26-5103-2022, 2022
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This article examines how a hydrological model exploring the causes of a lake desiccation was turned into a 5-step participatory process to better adjust the model to address questions that were causing suspicions and conflicts in the community. Although the process was key in finding a combination of strategies that were of moderate impact and higher local acceptability, we address the challenges of such collaboration in modeling when conflict is deeply embedded in the context.
Ashish Shrestha, Felipe Augusto Arguello Souza, Samuel Park, Charlotte Cherry, Margaret Garcia, David J. Yu, and Eduardo Mario Mendiondo
Hydrol. Earth Syst. Sci., 26, 4893–4917, https://doi.org/10.5194/hess-26-4893-2022, https://doi.org/10.5194/hess-26-4893-2022, 2022
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Equitable sharing of benefits is key to successful cooperation in transboundary water resource management. However, external changes can shift the split of benefits and shifts in the preferences regarding how an actor’s benefits compare to the other’s benefits. To understand how these changes can impact the robustness of cooperative agreements, we develop a socio-hydrological system dynamics model of the benefit sharing provision of the Columbia River Treaty and assess a series of scenarios.
Sara Modanesi, Christian Massari, Michel Bechtold, Hans Lievens, Angelica Tarpanelli, Luca Brocca, Luca Zappa, and Gabriëlle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 26, 4685–4706, https://doi.org/10.5194/hess-26-4685-2022, https://doi.org/10.5194/hess-26-4685-2022, 2022
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Given the crucial impact of irrigation practices on the water cycle, this study aims at estimating irrigation through the development of an innovative data assimilation system able to ingest high-resolution Sentinel-1 radar observations into the Noah-MP land surface model. The developed methodology has important implications for global water resource management and the comprehension of human impacts on the water cycle and identifies main challenges and outlooks for future research.
Yujie Zeng, Dedi Liu, Shenglian Guo, Lihua Xiong, Pan Liu, Jiabo Yin, and Zhenhui Wu
Hydrol. Earth Syst. Sci., 26, 3965–3988, https://doi.org/10.5194/hess-26-3965-2022, https://doi.org/10.5194/hess-26-3965-2022, 2022
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The sustainability of the water–energy–food (WEF) nexus remains challenge, as interactions between WEF and human sensitivity and water resource allocation in water systems are often neglected. We incorporated human sensitivity and water resource allocation into a WEF nexus and assessed their impacts on the integrated system. This study can contribute to understanding the interactions across the water–energy–food–society nexus and improving the efficiency of resource management.
Louise Busschaert, Shannon de Roos, Wim Thiery, Dirk Raes, and Gabriëlle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 26, 3731–3752, https://doi.org/10.5194/hess-26-3731-2022, https://doi.org/10.5194/hess-26-3731-2022, 2022
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Increasing amounts of water are used for agriculture. Therefore, we looked into how irrigation requirements will evolve under a changing climate over Europe. Our results show that, by the end of the century and under high emissions, irrigation water will increase by 30 % on average compared to the year 2000. Also, the irrigation requirement is likely to vary more from 1 year to another. However, if emissions are mitigated, these effects are reduced.
Judit Lienert, Jafet C. M. Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller
Hydrol. Earth Syst. Sci., 26, 2899–2922, https://doi.org/10.5194/hess-26-2899-2022, https://doi.org/10.5194/hess-26-2899-2022, 2022
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Many western Africans encounter serious floods every year. The FANFAR project co-designed a pre-operational flood forecasting system (FEWS) with 50 key western African stakeholders. Participatory multi-criteria decision analysis (MCDA) helped prioritize a FEWS that meets their needs: it should provide accurate, clear, and timely flood risk information and work reliably in tough conditions. As a theoretical contribution, we propose an assessment framework for transdisciplinary hydrology research.
Donghoon Lee, Jia Yi Ng, Stefano Galelli, and Paul Block
Hydrol. Earth Syst. Sci., 26, 2431–2448, https://doi.org/10.5194/hess-26-2431-2022, https://doi.org/10.5194/hess-26-2431-2022, 2022
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To fully realize the potential of seasonal streamflow forecasts in the hydropower industry, we need to understand the relationship between reservoir design specifications, forecast skill, and value. Here, we rely on realistic forecasts and simulated hydropower operations for 753 dams worldwide to unfold such relationship. Our analysis shows how forecast skill affects hydropower production, what type of dams are most likely to benefit from seasonal forecasts, and where these dams are located.
Herminia Torelló-Sentelles and Christian L. E. Franzke
Hydrol. Earth Syst. Sci., 26, 1821–1844, https://doi.org/10.5194/hess-26-1821-2022, https://doi.org/10.5194/hess-26-1821-2022, 2022
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Drought affects many regions worldwide, and future climate projections imply that drought severity and frequency will increase. Hence, the impacts of drought on the environment and society will also increase considerably. Monitoring and early warning systems for drought rely on several indicators; however, assessments on how these indicators are linked to impacts are still lacking. Our results show that meteorological indices are best linked to impact occurrences.
Leah A. Jackson-Blake, François Clayer, Elvira de Eyto, Andrew S. French, María Dolores Frías, Daniel Mercado-Bettín, Tadhg Moore, Laura Puértolas, Russell Poole, Karsten Rinke, Muhammed Shikhani, Leon van der Linden, and Rafael Marcé
Hydrol. Earth Syst. Sci., 26, 1389–1406, https://doi.org/10.5194/hess-26-1389-2022, https://doi.org/10.5194/hess-26-1389-2022, 2022
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We explore, together with stakeholders, whether seasonal forecasting of water quantity, quality, and ecology can help support water management at five case study sites, primarily in Europe. Reliable forecasting, a season in advance, has huge potential to improve decision-making. However, managers were reluctant to use the forecasts operationally. Key barriers were uncertainty and often poor historic performance. The importance of practical hands-on experience was also highlighted.
Mads Troldborg, Zisis Gagkas, Andy Vinten, Allan Lilly, and Miriam Glendell
Hydrol. Earth Syst. Sci., 26, 1261–1293, https://doi.org/10.5194/hess-26-1261-2022, https://doi.org/10.5194/hess-26-1261-2022, 2022
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Pesticides continue to pose a threat to surface water quality worldwide. Here, we present a spatial Bayesian belief network (BBN) for assessing inherent pesticide risk to water quality. The BBN was applied in a small catchment with limited data to simulate the risk of five pesticides and evaluate the likely effectiveness of mitigation measures. The probabilistic graphical model combines diverse data and explicitly accounts for uncertainties, which are often ignored in pesticide risk assessments.
Ida Karlsson Seidenfaden, Torben Obel Sonnenborg, Jens Christian Refsgaard, Christen Duus Børgesen, Jørgen Eivind Olesen, and Dennis Trolle
Hydrol. Earth Syst. Sci., 26, 955–973, https://doi.org/10.5194/hess-26-955-2022, https://doi.org/10.5194/hess-26-955-2022, 2022
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This study investigates how the spatial nitrate reduction in the subsurface may shift under changing climate and land use conditions. This change is investigated by comparing maps showing the spatial nitrate reduction in an agricultural catchment for current conditions, with maps generated for future projected climate and land use conditions. Results show that future climate flow paths may shift the catchment reduction noticeably, while implications of land use changes were less substantial.
Oleksandr Mialyk, Joep F. Schyns, Martijn J. Booij, and Rick J. Hogeboom
Hydrol. Earth Syst. Sci., 26, 923–940, https://doi.org/10.5194/hess-26-923-2022, https://doi.org/10.5194/hess-26-923-2022, 2022
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As the global demand for crops is increasing, it is vital to understand spatial and temporal patterns of crop water footprints (WFs). Previous studies looked into spatial patterns but not into temporal ones. Here, we present a new process-based gridded crop model to simulate WFs and apply it for maize in 1986–2016. We show that despite the average unit WF reduction (−35 %), the global WF of maize production has increased (+50 %), which might harm ecosystems and human livelihoods in some regions.
Wouter J. Smolenaars, Sanita Dhaubanjar, Muhammad K. Jamil, Arthur Lutz, Walter Immerzeel, Fulco Ludwig, and Hester Biemans
Hydrol. Earth Syst. Sci., 26, 861–883, https://doi.org/10.5194/hess-26-861-2022, https://doi.org/10.5194/hess-26-861-2022, 2022
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The arid plains of the lower Indus Basin rely heavily on the water provided by the mountainous upper Indus. Rapid population growth in the upper Indus is expected to increase the water that is consumed there. This will subsequently reduce the water that is available for the downstream plains, where the population and water demand are also expected to grow. In future, this may aggravate tensions over the division of water between the countries that share the Indus Basin.
Yaogeng Tan, Zengchuan Dong, Sandra M. Guzman, Xinkui Wang, and Wei Yan
Hydrol. Earth Syst. Sci., 25, 6495–6522, https://doi.org/10.5194/hess-25-6495-2021, https://doi.org/10.5194/hess-25-6495-2021, 2021
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The rapid increase in economic development and urbanization is contributing to the imbalances and conflicts between water supply and demand and further deteriorates river ecological health, which intensifies their interactions and causes water unsustainability. This paper proposes a methodology for sustainable development of water resources, considering socioeconomic development, food safety, and ecological protection, and the dynamic interactions across those water users are further assessed.
Sara Modanesi, Christian Massari, Alexander Gruber, Hans Lievens, Angelica Tarpanelli, Renato Morbidelli, and Gabrielle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 25, 6283–6307, https://doi.org/10.5194/hess-25-6283-2021, https://doi.org/10.5194/hess-25-6283-2021, 2021
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Worldwide, the amount of water used for agricultural purposes is rising and the quantification of irrigation is becoming a crucial topic. Land surface models are not able to correctly simulate irrigation. Remote sensing observations offer an opportunity to fill this gap as they are directly affected by irrigation. We equipped a land surface model with an observation operator able to transform Sentinel-1 backscatter observations into realistic vegetation and soil states via data assimilation.
Alexis Jeantet, Hocine Henine, Cédric Chaumont, Lila Collet, Guillaume Thirel, and Julien Tournebize
Hydrol. Earth Syst. Sci., 25, 5447–5471, https://doi.org/10.5194/hess-25-5447-2021, https://doi.org/10.5194/hess-25-5447-2021, 2021
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The hydrological subsurface drainage model SIDRA-RU is assessed at the French national scale, using a unique database representing the large majority of the French drained areas. The model is evaluated following its capacity to simulate the drainage discharge variability and the annual drained water balance. Eventually, the temporal robustness of SIDRA-RU is assessed to demonstrate the utility of this model as a long-term management tool.
Nariman Mahmoodi, Jens Kiesel, Paul D. Wagner, and Nicola Fohrer
Hydrol. Earth Syst. Sci., 25, 5065–5081, https://doi.org/10.5194/hess-25-5065-2021, https://doi.org/10.5194/hess-25-5065-2021, 2021
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In this study, we assessed the sustainability of water resources in a wadi region with the help of a hydrologic model. Our assessment showed that the increases in groundwater demand and consumption exacerbate the negative impact of climate change on groundwater sustainability and hydrologic regime alteration. These alterations have severe consequences for a downstream wetland and its ecosystem. The approach may be applicable in other wadi regions with different climate and water use systems.
Nahid Atashi, Dariush Rahimi, Victoria A. Sinclair, Martha A. Zaidan, Anton Rusanen, Henri Vuollekoski, Markku Kulmala, Timo Vesala, and Tareq Hussein
Hydrol. Earth Syst. Sci., 25, 4719–4740, https://doi.org/10.5194/hess-25-4719-2021, https://doi.org/10.5194/hess-25-4719-2021, 2021
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Dew formation potential during a long-term period (1979–2018) was assessed in Iran to identify dew formation zones and to investigate the impacts of long-term variation in meteorological parameters on dew formation. Six dew formation zones were identified based on cluster analysis of the time series of the simulated dew yield. The distribution of dew formation zones in Iran was closely aligned with topography and sources of moisture. The dew formation trend was significantly negative.
Kuk-Hyun Ahn
Hydrol. Earth Syst. Sci., 25, 4319–4333, https://doi.org/10.5194/hess-25-4319-2021, https://doi.org/10.5194/hess-25-4319-2021, 2021
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This study proposes a multiple-dependence model for estimating streamflow at partially gaged sites. The evaluations are conducted on a case study of the eastern USA and show that the proposed model is suited for infilling missing values. The performance is further evaluated with six other infilling models. Results demonstrate that the proposed model produces more reliable streamflow estimates than the other approaches. The model can be applicable to other hydro-climatological variables.
Xuanxuan Wang, Yaning Chen, Zhi Li, Gonghuan Fang, Fei Wang, and Haichao Hao
Hydrol. Earth Syst. Sci., 25, 3281–3299, https://doi.org/10.5194/hess-25-3281-2021, https://doi.org/10.5194/hess-25-3281-2021, 2021
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The growing water crisis in Central Asia and the complex water politics of the region's transboundary rivers are a hot topic for research, while the dynamic changes of water politics in Central Asia have yet to be studied in depth. Based on the Gini coefficient, water political events and social network analysis, we analyzed the matching degree between water and socio-economic elements and the dynamics of hydropolitics in transboundary river basins of Central Asia.
Jonathan W. Miller, Kimia Karimi, Arumugam Sankarasubramanian, and Daniel R. Obenour
Hydrol. Earth Syst. Sci., 25, 2789–2804, https://doi.org/10.5194/hess-25-2789-2021, https://doi.org/10.5194/hess-25-2789-2021, 2021
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Within a watershed, nutrient export can vary greatly over time and space. In this study, we develop a model to leverage over 30 years of streamflow, precipitation, and nutrient sampling data to characterize nitrogen export from various livestock and land use types across a range of precipitation conditions. Modeling results reveal that urban lands developed before 1980 have remarkably high levels of nitrogen export, while agricultural export is most responsive to precipitation.
Chia-Wen Wu, Frederick N.-F. Chou, and Fong-Zuo Lee
Hydrol. Earth Syst. Sci., 25, 2063–2087, https://doi.org/10.5194/hess-25-2063-2021, https://doi.org/10.5194/hess-25-2063-2021, 2021
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This paper promotes the feasibility of emptying instream storage through joint operation of multiple reservoirs. The trade-off between water supply and emptying reservoir storage and alleviating impacts on downstream environment are thoroughly discussed. Operation of reservoirs is optimized to calibrate the optimal parameters defining the activation and termination of emptying reservoir. The optimized strategy limits the water shortage and maximizes the expected benefits of emptying reservoir.
Cited articles
Bahrawi, J. A., Elhag, M., Aldhebiani, A. Y., Galal, H. K., Hegazy, A. K.,
and Alghailani, E.: Soil erosion estimation using remote sensing techniques in
Wadi Yalamlam Basin, Saudi Arabia, Adv. Mater. Sci. Eng., 2016, 9585962, https://doi.org/10.1155/2016/9585962, 2016.
Blanco, H. and Lal, R.: Principles of Soil Conservation and Management, Springer,
New York, 2010.
Bosco, C., de Rigo, D., Dewitte, O., Poesen, J., and Panagos, P.: Modelling soil
erosion at European scale: towards harmonization and reproducibility, Nat.
Hazards Earth Syst. Sci., 15, 225–245, https://doi.org/10.5194/nhess-15-225-2015, 2015.
Breidt, F. J. and Fuller, W. A.: Design of supplemented panel surveys with
application to the National Resources Inventory, J. Agr. Biol. Environ. St., 4, 391–403, 1999.
Brejda, J. J., Mausbach, M. J., Goebel, J. J., Allan, D. L., Dao, T. H., Karlen,
D. L., Moorman, T. B., and Smith J. L.: Estimating surface soil organic carbon
content at a regional scale using the National Resource Inventory, Soil. Sci.
Soc. Am. J., 65, 842–849, 2001.
Cerdan, O., Govers, G., Le Bissonais, Y., Van Oost, K., Poesen, J., Saby, N.,
Gobin, A., Vacca, A., Quinton, J., Auerswald, K., Klik, A., Kwaad, F. J. P. M.,
Raclot, D., Ionita, I., Rejman, J., Rousseva, S., Muxart, T., Roxo, M. J., and
Dostal, T.: Rates and spatial variations of soil erosion in Europe: a study
based on erosion plot data, Geomorphology, 122, 167–177, 2002.
El Haj El Tahir, M., Kääb, A., and Xu, C.-Y.: Identification and mapping
of soil erosion areas in the Blue Nile, Eastern Sudan using multispectral ASTER
and MODIS satellite data and the SRTM elevation model Hydrol. Earth Syst. Sci.,
14, 1167–1178, https://doi.org/10.5194/hess-14-1167-2010, 2010.
Evans, R. and Boardman, J.: The new assessment of soil loss by water erosion in
Europe, Panagos, P. et al., 2015 Environ. Sci. Policy, 54, 438–447 – A response,
Environ. Sci. Policy, 58, 11–15, 2016.
Evans, R., Collins, A. L., Foster, I. D. L., Rickson, R. J., Anthony, S. G.,
Brewer, T., Deeks, L., Newell-Price, J. P., Truckell, I. G., and Zhang, Y.:
Extent, frequency and rate of water erosion of arable land in Britain – benefits
and challenges for modelling, Soil Use Manage., 32, 149–161, 2015.
Fiener, P. and Auerswald, K.: Comment on “The new assessment of soil loss
by water erosion in Europe” by Panagos et al. (Environmental Science & Policy
54 (2015) 438–447), Environ. Sci. Policy, 57, 140–142, 2016.
Foster, G. R.: User's Reference Guide: Revised Universal Soil Loss Equation (RUSLE2),
US Department of Agriculture, Agricultural Research Service, Washington, D.C., 2004.
Fu, S. H., Cao, L. X., Liu, B. Y., Wu, Z. P., and Savabi, M. R.: Effects of
DEM grid size on predicting soil loss from small watersheds in China, Environ.
Earth Sci., 73, 2141–2151, 2015.
Fu, S. H., Wu, Z. P., Liu, B. Y., and Cao, L. X.: Comparison of the effects of
the different methods for computing the slope length factor at a watershed scale,
Int. Soil Water Conserv. Res., 1, 64–71, 2013.
Ganasri, B. P. and Ramesh, H.: Assessment of soil erosion by RUSLE model using
remote sensing and GIS – A case study of Nethravathi Basin, Geosci. Front.,
7, 953–961, 2015.
Gobin, A., Jones, R., Kirkby, M. J., Campling, P., Govers, G., Kosmas, C., and
Gentile, A. R.: Indicators for pan-European assessment and monitoring of soil
erosion by water, Environ. Sci. Policy, 7, 25–38, 2004.
Goebel, J. J.: The National Resources Inventory and its role in U.S. agriculture,
Agricultural Statistics 2000, International Statistical Institute, Voorburg, 1998.
Grimm, M., Jones, R., and Montanarella, L.: Soil erosion risk in Europe,
European Commission, EUR 19939 EN, Joint Research Centre, Ispra, 2002.
Grimm, M., Jones, R., Rusco, E. and Montanarella, L.: Soil Erosion Risk in Italy:
a revised USLE approach, EUR 20677 EN, European Commission, Luxembourg, 2003.
Guillas, S. and Lai, M. J.: Bivariate splines for spatial functional regression
models, J. Nonparametr. Statist., 22, 477–497, 2010.
Guo, Q. K., Hao, Y. F., and Liu, B. Y.: Rates of soil erosion in China: A study
based on runoff plot data, Catena, 24, 68–76, 2015a.
Guo, Q. K., Liu, B. Y., Xie, Y., Liu, Y. N., and Yin, S. Q.: Estimation of USLE
crop and management factor values for crop rotation systems in China, J. Integr.
Agr., 14, 1877–1888, 2015b.
Guo, S. Y. and Li, Z. G.: Development and achievements of soil and water
conservation monitoring in China, Sci. Soil Water Conserv., 7, 19–24, 2009.
He, C. S.: Quantifying drivers of the sediment load reduction in the Yellow
River Basin, National Sci. Rev., 3, 155–156, https://doi.org/10.1093/nsr/nww014, 2016.
Hernandez, M., Nearing, M. A., Stone, J. J., Pierson, E. B., Wei, H., Spaeth,
K. E., Heilman, P., Weltz, M. A., and Goodrich, D. C.: Application of a rangeland
soil erosion model using National Resources Inventory data in southeastern Arizona,
J. Soil Water Conserv., 68, 512–525, 2013.
Herrick, J. E., Lessard, V. C., Spaeth, K. E., Shaver, P. L., Dayton, R. S.,
Pyke, D. A., Jolley, L., and Goebel, J. J.: National ecosystem assessments
supported by scientific and local knowledge, Front. Ecol. Environ., 8, 403–408, 2010.
Kirkby, M. J., Irvine, B. J., Jones, R. J. A., Govers, G., Boer, M., Cerdan,
O., Daroussin, J., Gobin, A., Grimm, M., Le Bissonnais, Y., Kosmas, C., Mantel,
S., Puigdefabregas, J., and van Lynden, G.: The PESERA coarse scale erosion model
for Europe. I. – Model rationale and implementation, Eur. J. Soil Sci., 59, 1293–1306, 2008.
Lai, M. J. and Schumaker, L. L.: Spline functions on triangulations, Cambridge
University Press, Cambridge, 2007.
Lai, M. J. and Wang, L.: Bivariate penalized splines for regression, Statist.
Sin., 23, 1399–1417, 2013.
Lambrechts, C., Wilkie, M. L., Rucevska, I., and Sen, M. (Eds.): Vital Forest
Graphics, United Nations Environment Programme (UNEP), United Nations Food and
Agriculture Organisation (FAO), United Nations Forum on Forests (UNFF),
UNEP/GRID-Arendal, Arendal, Norway, 2009.
Le Bissonnais, Y., Montier, C., Jamagne, M., Daroussin, J., and King, D.:
Mapping erosion risk for cultivated soil in France, Catena, 46, 207–220, 2001.
Le Roux, J. J., Newby, T. S., and Sumner, P. D.: Monitoring soil erosion in
South Africa at a regional scale: review and recommendations, S. Afr. J. Sci.,
207, 329–335, 2007.
Li, Z. G., Fu, S. H., and Liu, B. Y.: Sampling program of water erosion inventory
in the first national water resource survey, Sci. Soil Water Conserv., 10, 77–81, 2012.
Liang, Y., Liu, X. C., Cao, L. X., Zheng, F. L., Zhang, P. C., Shi, M. C., Cao,
Q. Y., and Yuan, J. Q.: K value calculation of soil erodibility of China water
erosion areas and its Macro-distribution, Soil Water Cons. China, 10, 35–40, 2013.
Liu, B. Y., Zhang, K. L., and Xie, Y.: An empirical soil loss equation, in
Proceedings – Process of soil erosion and its environment effect (Vol. II),
12th international soil conservation organization conference, Tsinghua University
Press, Beijing, 21–25, 2002.
Liu, B. Y., Guo, S. Y., Li, Z. G., Xie, Y., Zhang, K. L., and Liu, X. C.: Sample
survey on water erosion in China, Soil Water Conserv. China, 10, 26–34, 2013.
Liu, J. Y., Kuang, W. H., Zhang, Z. X., Xu, X. L., Qin, Y. W., Ning, J., Zhou,
W. C., Zhang, S. W., Li, R. D., Yan, C. Z., Wu, S. X., Shi, X. Z., Jiang, N.,
Yu, D. S., Pan, X. Z., and Chi, W. F.: Spatiotemporal characteristics, patterns
and causes of land use changes in China since the late 1980s, Acta Geogr. Sin.,
69, 3–14, 2014.
Liu, Z.: The national census for soil erosion and dynamic analysis in China,
Int. Soil Water Conserv. Res., 1, 12–18, 2013.
Lu, H., Gallant, J., Prosser, I. P., Moran, C., and Priestley, G.: Prediction
of sheet and rill erosion over the Australian continent, incorporating monthly
soil loss distribution, CSIRO Land and Water Technical Report, CSIRO, Canberra, 2001.
Morgan, R. P. C.: Soil Erosion and Conservation, 2nd Edn., Longman, Essex, 1995.
Mutekanga, F. P., Visser, S. M., Stroosnijder, L.: A tool for rapid assessment
of erosion risk to support decision-making and policy development at the Ngenge
watershed in Uganda, Geoderma, 160, 165–174, 2010.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models,
Part 1 – a discussion of principles, J. Hydrol., 10, 282–290, 1970.
Nusser, S. M. and Goebel, J. J.: The National Resources Inventory: A long-term
multi-resource monitoring programme, Environ. Ecol. Stat., 4, 181–204, 1997.
Panagos, P., Borrelli, P., Meusburger, K., Alewell, C., Lugato, E., and Montanarella,
L.: Estimating the soil erosion cover-management factor at the European scale,
Land Use Policy, 48, 38–50, 2015a.
Panagos, P., Borrelli, P., Poesen, J., Ballabio, C., Lugato, E., Meusburger, K.,
Montanarella, L., and Alewell, C.: The new assessment of soil loss by water
erosion in Europe, Environ. Sci. Policy, 54, 438–447, 2015b.
Panagos, P., Borrelli, P., Poesen, J., Meusburger, K., Ballabio, C., Lugato,
E., Montanarella, L., and Alewell, C.: Reply to “The new assessment of soil
loss by water erosion in Europe. Panagos P. et al., 2015 Environ. Sci. Policy
54, 438–447 – A response” by Evans and Boardman [Environ. Sci. Policy 58,
11–15], Environ. Sci. Policy, 59, 53–57, 2016a.
Panagos, P., Borrelli, P., Poesen, J., Meusburger, K., Ballabio, C., Lugato,
E., Montanarella, L., and Alewell, C.: Reply to the comment on “The new
assessment of soil loss by water erosion in Europe” by Fiener & Auerswald,
Environ. Sci. Policy, 57, 143–150, 2016b.
Rao, E. M., Xiao, Y., Ouyang, Z. Y., and Yu, X. X.: National assessment of soil
erosion and its spatial patterns in China, Ecosyst. Health Sustain., 1, 1–10,
https://doi.org/10.1890/EHS14-0011.1, 2015.
Renard, K. G., Foster, G. R.,Weesies, G. A., McCool, D. K., and Yoder, D. C.:
Predicting soil erosion by water, in: Agriculture Handbook 703, US Department
of Agriculture, Agricultural Research Service, Washington, D.C., 1997.
Renschler, C. S. and Harbor, J.: Soil erosion assessment tools from point to
regional scales – the role of geomorphologists in land management research and
implementation, Geomorphology, 47, 189–209, 2002.
Singh, G., Babu, R., Narain, P., Bhushan, L. S., and Abrol, I. P.: Soil erosion
rates in India, J. Soil Water Conserv., 47, 97–99, 1992.
Thomas, J., Prasannakumar, V., and Vineetha, P.: Suitability of spaceborne
digital elevation models of different scales in topographic analysis: an
example from Kerala, India, Environ. Earth Sci., 73, 1245–1263, 2015.
USDA: Summary report: 2012 National Resources Inventory, National Resources
Conservation Service, Washington, D.C., and Center for Survey Statistics and
Methodology, Iowa State University, Ames, Iowa, 2015.
Van der Knijff, J. M., Jones, R. J. A., and Montanarella, L.: Soil erosion
risk assessment in Europe, EUR 19044 EN, European Commission, Luxembourg, 2000.
Vrieling, A.: Satellite remote sensing for water erosion assessment: A review,
Catena, 65, 2–18, 2006.
Wang, G. and Fan, Z.: Study of Changes in Runoff and Sediment Load in the Yellow
River (II), Yellow River Water Conservancy Press, Zhengzhou, China, 2002.
Wang, S. Y., Zhu, X. L., Zhang, W. B., Yu, B., Fu, S. H., and Liu, L.: Effect
of different topographic data sources on soil loss estimation for a mountainous
watershed in Northern China, Environ. Earth Sci., 75, 1382, https://doi.org/10.1007/s12665-016-6130-3, 2016.
Wang, X., Zhao, X. L., Zhang, Z. X., Li, L., Zuo, L. J., Wen, Q. K., Liu, F.,
Xu, J. Y., Hu, S. G., and Liu, B.: Assessment of soil erosion change and its
relationships with land use/cover change in China from the end of the 1980s
to 2010, Catena, 137, 256–268, 2016.
Wischmeier, W. H. and Smith, D. D.: Predicting rainfall-erosion losses from
cropland east of the Rocky Mountains, in: Agriculture Handbook 282, US Department
of Agriculture, Agricultural Research Service, Washington, D.C., 1965.
Wischmeier, W. H. and Smith, D. D.: Predicting Rainfall Erosion Losses: A Guide
to Conservation Planning, in: Agriculture Handbook 537, US Department of
Agriculture, Agricultural Research Service, Washington, D.C., 1978.
Xi, Z. D., Sun, H., and Li, X. L.: Characteristics of soil erosion and its
space-time distributive pattern in southern mountains of Shaanxi province,
Bull. Soil Water Conserv., 17, 1–6, 1997.
Xie, Y., Yin, S. Q., Liu, B. Y., Nearing, M., and Zhao, Y.: Models for estimating
daily rainfall erosivity in China, J. Hydrol., 535, 547–558, 2016.
Zheng, F. L. and Wang, B.: Soil Erosion in the Loess Plateau Region of China,
in: Restoration and Development of the Degraded Loess Plateau, China, Ecological
Research Monographs, edited by: Tsunekawa, A., Liu, G., Yamanaka, N., and Du,
S., Springer, Japan, https://doi.org/10.1007/978-4-431-54481-4_6, 2014.
