Articles | Volume 25, issue 2
https://doi.org/10.5194/hess-25-901-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-25-901-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Feb 2021
Research article |
| 24 Feb 2021
| 24 Feb 2021
A novel causal structure-based framework for comparing a basin-wide water–energy–food–ecology nexus applied to the data-limited Amu Darya and Syr Darya river basins
Haiyang Shi
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
University of Chinese Academy of Sciences, 19 (A) Yuquan Road,
Beijing, 100049, China
Department of Geography, Ghent University, Ghent 9000, Belgium
Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium
Geping Luo
CORRESPONDING AUTHOR
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
University of Chinese Academy of Sciences, 19 (A) Yuquan Road,
Beijing, 100049, China
Research Centre for Ecology and Environment of Central Asia,
Chinese Academy of Sciences, Urumqi, China
Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium
Hongwei Zheng
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
Chunbo Chen
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
Olaf Hellwich
Department of Computer Vision & Remote Sensing, Technische
Universität Berlin, 10587 Berlin, Germany
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
Tie Liu
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium
Shuang Liu
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
Jie Xue
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
Peng Cai
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
Department of Geography, Ghent University, Ghent 9000, Belgium
Huili He
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
Department of Geography, Ghent University, Ghent 9000, Belgium
Friday Uchenna Ochege
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
University of Chinese Academy of Sciences, 19 (A) Yuquan Road,
Beijing, 100049, China
Tim Van de Voorde
Department of Geography, Ghent University, Ghent 9000, Belgium
Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium
Philippe de Maeyer
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
University of Chinese Academy of Sciences, 19 (A) Yuquan Road,
Beijing, 100049, China
Department of Geography, Ghent University, Ghent 9000, Belgium
Sino-Belgian Joint Laboratory of Geo-Information, Ghent, Belgium
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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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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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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.
Elisabeth Brochet, Sabine Sauvage, Youen Grusson, Ludovic Lhuissier, and Valérie Demarez
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This study aims at taking 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 allows to simulate the daily irrigation withdrawals and downstream flow with a good accuracy, especially during low flow periods.
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.
Yvonne Jans, Werner von Bloh, Sibyll Schaphoff, and Christoph Müller
Hydrol. Earth Syst. Sci., 25, 2027–2044, https://doi.org/10.5194/hess-25-2027-2021, https://doi.org/10.5194/hess-25-2027-2021, 2021
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Growth of and irrigation water demand on cotton may be challenged by future climate change. To analyze the global cotton production and irrigation water consumption under spatially varying present and future climatic conditions, we use the global terrestrial biosphere model LPJmL. Our simulation results suggest that the beneficial effects of elevated [CO2] on cotton yields overcompensate yield losses from direct climate change impacts, i.e., without the beneficial effect of [CO2] fertilization.
Artemis Roodari, Markus Hrachowitz, Farzad Hassanpour, and Mostafa Yaghoobzadeh
Hydrol. Earth Syst. Sci., 25, 1943–1967, https://doi.org/10.5194/hess-25-1943-2021, https://doi.org/10.5194/hess-25-1943-2021, 2021
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In a combined data analysis and modeling study in the transboundary Helmand River basin, we analyzed spatial patterns of drought and changes therein based on the drought indices as well as on absolute water deficits. Overall the results illustrate that flow deficits and the associated droughts clearly reflect the dynamic interplay between temporally varying regional differences in hydro-meteorological variables together with subtle and temporally varying effects linked to human intervention.
Noemi Vergopolan, Sitian Xiong, Lyndon Estes, Niko Wanders, Nathaniel W. Chaney, Eric F. Wood, Megan Konar, Kelly Caylor, Hylke E. Beck, Nicolas Gatti, Tom Evans, and Justin Sheffield
Hydrol. Earth Syst. Sci., 25, 1827–1847, https://doi.org/10.5194/hess-25-1827-2021, https://doi.org/10.5194/hess-25-1827-2021, 2021
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Drought monitoring and yield prediction often rely on coarse-scale hydroclimate data or (infrequent) vegetation indexes that do not always indicate the conditions farmers face in the field. Consequently, decision-making based on these indices can often be disconnected from the farmer reality. Our study focuses on smallholder farming systems in data-sparse developing countries, and it shows how field-scale soil moisture can leverage and improve crop yield prediction and drought impact assessment.
You Lu, Fuqiang Tian, Liying Guo, Iolanda Borzì, Rupesh Patil, Jing Wei, Dengfeng Liu, Yongping Wei, David J. Yu, and Murugesu Sivapalan
Hydrol. Earth Syst. Sci., 25, 1883–1903, https://doi.org/10.5194/hess-25-1883-2021, https://doi.org/10.5194/hess-25-1883-2021, 2021
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The upstream countries in the transboundary Lancang–Mekong basin build dams for hydropower, while downstream ones gain irrigation and fishery benefits. Dam operation changes the seasonality of runoff downstream, resulting in their concerns. Upstream countries may cooperate and change their regulations of dams to gain indirect political benefits. The socio-hydrological model couples hydrology, reservoir, economy, and cooperation and reproduces the phenomena, providing a useful model framework.
Jessica A. Bou Nassar, Julien J. Malard, Jan F. Adamowski, Marco Ramírez Ramírez, Wietske Medema, and Héctor Tuy
Hydrol. Earth Syst. Sci., 25, 1283–1306, https://doi.org/10.5194/hess-25-1283-2021, https://doi.org/10.5194/hess-25-1283-2021, 2021
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Our research suggests a method that facilitates the inclusion of marginalized stakeholders in model-building activities to address problems in water resources. Our case study showed that knowledge produced by typically excluded stakeholders had significant and unique contributions to the outcome of the process. Moreover, our method facilitated the identification of relationships between societal, economic, and hydrological factors, and it fostered collaborations across different communities.
Marc Girons Lopez, Louise Crochemore, and Ilias G. Pechlivanidis
Hydrol. Earth Syst. Sci., 25, 1189–1209, https://doi.org/10.5194/hess-25-1189-2021, https://doi.org/10.5194/hess-25-1189-2021, 2021
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The Swedish hydrological warning service is extending its use of seasonal forecasts, which requires an analysis of the available methods. We evaluate the simple ESP method and find out how and why forecasts vary in time and space. We find that forecasts are useful up to 3 months into the future, especially during winter and in northern Sweden. They tend to be good in slow-reacting catchments and bad in flashy and highly regulated ones. We finally link them with areas of similar behaviour.
Manon Cassagnole, Maria-Helena Ramos, Ioanna Zalachori, Guillaume Thirel, Rémy Garçon, Joël Gailhard, and Thomas Ouillon
Hydrol. Earth Syst. Sci., 25, 1033–1052, https://doi.org/10.5194/hess-25-1033-2021, https://doi.org/10.5194/hess-25-1033-2021, 2021
Michel Le Page, Younes Fakir, Lionel Jarlan, Aaron Boone, Brahim Berjamy, Saïd Khabba, and Mehrez Zribi
Hydrol. Earth Syst. Sci., 25, 637–651, https://doi.org/10.5194/hess-25-637-2021, https://doi.org/10.5194/hess-25-637-2021, 2021
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In the context of major changes, the southern Mediterranean area faces serious challenges with low and continuously decreasing water resources mainly attributed to agricultural use. A method for projecting irrigation water demand under both anthropogenic and climatic changes is proposed. Time series of satellite imagery are used to determine a set of semiempirical equations that can be easily adapted to different future scenarios.
Mohammad Taghi Sattari, Halit Apaydin, Shahab S. Band, Amir Mosavi, and Ramendra Prasad
Hydrol. Earth Syst. Sci., 25, 603–618, https://doi.org/10.5194/hess-25-603-2021, https://doi.org/10.5194/hess-25-603-2021, 2021
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The aim of study is to estimate the reference evapotranspiration (ET0) amount with artificial intelligence using minimum meteorological parameters in the Corum region, which is an agricultural center of Turkey. Kernel-based GPR and SVR and BFGS-ANN and LSTM models were used to estimate ET0 amounts in 10 different combinations. The results show that all four methods used predicted ET0 amounts at acceptable accuracy and error levels. The BFGS-ANN model showed higher success than the others.
Andres Peñuela, Christopher Hutton, and Francesca Pianosi
Hydrol. Earth Syst. Sci., 24, 6059–6073, https://doi.org/10.5194/hess-24-6059-2020, https://doi.org/10.5194/hess-24-6059-2020, 2020
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In this paper we evaluate the potential use of seasonal weather forecasts to improve reservoir operation in a UK water supply system. We found that the use of seasonal forecasts can improve the efficiency of reservoir operation but only if the forecast uncertainty is explicitly considered. We also found the degree of efficiency improvement is strongly affected by the decision maker priorities and the hydrological conditions.
Matteo Giuliani, Louise Crochemore, Ilias Pechlivanidis, and Andrea Castelletti
Hydrol. Earth Syst. Sci., 24, 5891–5902, https://doi.org/10.5194/hess-24-5891-2020, https://doi.org/10.5194/hess-24-5891-2020, 2020
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This paper aims at quantifying the value of hydroclimatic forecasts in terms of potential economic benefit to end users in the Lake Como basin (Italy), which allows the inference of a relation between gains in forecast skill and gains in end user profit. We also explore the sensitivity of this benefit to both the forecast system setup and end user behavioral factors, showing that the estimated forecast value is potentially undermined by different levels of end user risk aversion.
Michele Ferri, Uta Wehn, Linda See, Martina Monego, and Steffen Fritz
Hydrol. Earth Syst. Sci., 24, 5781–5798, https://doi.org/10.5194/hess-24-5781-2020, https://doi.org/10.5194/hess-24-5781-2020, 2020
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As part of the flood risk management strategy of the
Brenta-Bacchiglione catchment (Italy), a citizen observatory for flood risk management is currently being implemented. A cost–benefit analysis of the citizen observatory was undertaken to demonstrate the value of this approach in monetary terms. Results show a reduction in avoided damage of 45 % compared to a scenario without implementation of the citizen observatory. The idea is to promote this methodology for future flood risk management.
Sara Suárez-Almiñana, Abel Solera, Jaime Madrigal, Joaquín Andreu, and Javier Paredes-Arquiola
Hydrol. Earth Syst. Sci., 24, 5297–5315, https://doi.org/10.5194/hess-24-5297-2020, https://doi.org/10.5194/hess-24-5297-2020, 2020
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This work responds to the need for an effective methodology that integrates climate change projections into water planning and management to guide complex basin decision-making. This general approach is based on a model chain for management and drought risk assessments and applied to the Júcar River basin (Spain), showing a worrying deterioration of the basin's future water resources availability and drought indicators, despite a considerable uncertainty of results from the mid-century onwards.
Shan Zuidema, Danielle Grogan, Alexander Prusevich, Richard Lammers, Sarah Gilmore, and Paula Williams
Hydrol. Earth Syst. Sci., 24, 5231–5249, https://doi.org/10.5194/hess-24-5231-2020, https://doi.org/10.5194/hess-24-5231-2020, 2020
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In our case study we find that increasing the efficiency of irrigation technology will have unintended consequences like reducing water available for aquifer replenishment or for other irrigators. The amount of water needed to stabilize regional aquifers exceeds the amount that could be saved by improving irrigation efficiency. Since users depend upon local groundwater storage, which is more sensitive to management decisions than river flow, comanagement of surface and groundwater is critical.
Cited articles
Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., and Hegewisch, K. C.:
TerraClimate, a high-resolution global dataset of monthly climate and
climatic water balance from 1958–2015, Sci. Data, 5, 170191, https://doi.org/10.1038/sdata.2017.191, 2018.
Alcamo, J., Döll, P., Henrichs, T., Kaspar, F., Lehner, B., Rösch,
T., and Siebert, S.: Development and testing of the WaterGAP 2 global model
of water use and availability, Hydrolog. Sci. J., 48, 317–337, 2003.
Barton, D. N., Saloranta, T., Moe, S. J., Eggestad, H. O., and Kuikka, S.:
Bayesian belief networks as a meta-modelling tool in integrated river basin
management – Pros and cons in evaluating nutrient abatement decisions under
uncertainty in a Norwegian river basin, Ecol. Econ., 66, 91–104, 2008.
Biggs, E. M., Bruce, E., Boruff, B., Duncan, J. M. A., Horsley, J., Pauli, N., McNeill, K., Neef, A., Van Ogtrop, F., and Curnow, J.: Sustainable
development and the water–energy–food nexus: A perspective on livelihoods,
Environ. Sci. Policy, 54, 389–397, 2015.
Cai, X., McKinney, D. C., and Lasdon, L. S.: A framework for sustainability
analysis in water resources management and application to the Syr Darya Basin, Water Resour. Res., 38, 21-1–21-14, https://doi.org/10.1029/2001WR000214, 2002.
Cai, X., Wallington, K., Shafiee-Jood, M., and Marston, L.: Understanding and
managing the food-energy-water nexus – opportunities for water resources
research, Adv. Water Resour., 111, 259–273, 2018.
Cain, J.: Planning improvements in natural resources management, Cent. Ecol.
Hydrol., Wallingford, UK, 124, 1–123, 2001.
Castillo, E., Gutiérrez, J. M., and Hadi, A. S.: Sensitivity analysis in
discrete Bayesian networks, IEEE T. Syst. Man Cybern. A Syst. Humans, 27, 412–423, 1997.
Chan, T., Ross, H., Hoverman, S., and Powell, B.: Participatory development
of a Bayesian network model for catchment-based water resource management,
Water Resour. Res., 46, W07544, https://doi.org/10.1029/2009WR008848, 2010.
Chen, S. H. and Pollino, C. A.: Good practice in Bayesian network modelling,
Environ. Model. Softw., 37, 134–145, 2012.
Chen, Y., Li, W., Fang, G., and Li, Z.: Review article: Hydrological modeling in glacierized catchments of central Asia – status and challenges, Hydrol. Earth Syst. Sci., 21, 669–684, https://doi.org/10.5194/hess-21-669-2017, 2017.
Conway, D., Van Garderen, E. A., Deryng, D., Dorling, S., Krueger, T., Landman, W., Lankford, B., Lebek, K., Osborn, T., and Ringler, C.: Climate
and southern Africa's water–energy–food nexus, Nat. Clim. Change, 5, 837–846, 2015.
Daher, B. T. and Mohtar, R. H.: Water–energy–food (WEF) Nexus Tool 2.0:
guiding integrative resource planning and decision-making, Water Int., 40, 748–771, 2015.
Döll, P., Kaspar, F., and Lehner, B.: A global hydrological model for
deriving water availability indicators: model tuning and validation, J.
Hydrol., 270, 105–134, 2003.
Espinosa-Tasón, J., Berbel, J., and Gutiérrez-Martín, C.:
Energized water: Evolution of water-energy nexus in the Spanish irrigated
agriculture, 1950–2017, Agr. Water Manage., 233, 106073, https://doi.org/10.1016/j.agwat.2020.106073, 2020.
Farinotti, D., Longuevergne, L., Moholdt, G., Duethmann, D., Mölg, T.,
Bolch, T., Vorogushyn, S., and Güntner, A.: Substantial glacier mass loss
in the Tien Shan over the past 50 years, Nat. Geosci., 8, 716–722,
https://doi.org/10.1038/ngeo2513, 2015.
Farmani, R., Henriksen, H. J., and Savic, D.: An evolutionary Bayesian belief
network methodology for optimum management of groundwater contamination,
Environ. Model. Softw., 24, 303–310, https://doi.org/10.1016/j.envsoft.2008.08.005, 2009.
Feng, M., Liu, P., Li, Z., Zhang, J., Liu, D., and Xiong, L.: Modeling the
nexus across water supply, power generation and environment systems using the system dynamics approach: Hehuang Region, China, J. Hydrol., 543, 344–359, 2016.
Fienen, M. N., Masterson, J. P., Plant, N. G., Gutierrez, B. T., and Thieler,
E. R.: Bridging groundwater models and decision support with a Bayesian network, Water Resour. Res., 49, 6459–6473, 2013.
Frank, S. K., Pollino, C. A., and Döll, P.: Using Bayesian Networks to link Environmental Flows to Ecosystem Services in the Murray-Darling Basin,
Australia, in: Proceedings of the 7th International Congress on Environmental
Modelling and Software, 15–19 June 2014, San Diego, California, USA,
available at: http://www.iemss.org/sites/iemss2014/proceedings.php, last access: 12 September 2014.
Friedman, N., Geiger, D., and Goldszmidt, M.: Bayesian network classifiers,
Mach. Learn., 29, 131–163, 1997.
Giordano, R., D'Agostino, D., Apollonio, C., Lamaddalena, N., and Vurro, M.:
Bayesian belief network to support conflict analysis for groundwater protection: the case of the Apulia region, J. Environ. Manage., 115, 136–146, 2013.
Grafton, R. Q., Libecap, G. D., Edwards, E. C., O'Brien, R. J., and Landry,
C.: Comparative assessment of water markets: insights from the Murray–Darling Basin of Australia and the Western USA, Water Policy, 14,
175–193, 2012.
Groll, M., Kulmatov, R., Mullabaev, N., Opp, C., and Kulmatova, D.: Rise and
decline of the fishery industry in the Aydarkul–Arnasay Lake System
(Uzbekistan): effects of reservoir management, irrigation farming and
climate change on an unstable ecosystem, Environ. Earth Sci., 75, 921, https://doi.org/10.1007/s12665-016-5691-5, 2016.
Guo, H., Bao, A., Ndayisaba, F., Liu, T., Kurban, A., and De Maeyer, P.:
Systematical Evaluation of Satellite Precipitation Estimates Over Central
Asia Using an Improved Error-Component Procedure, J. Geophys. Res.-Atmos.,
122, 10906–10927, https://doi.org/10.1002/2017JD026877, 2017.
Heckerman, D. and Breese, J. S.: Causal independence for probability assessment and inference using Bayesian networks, IEEE T. Syst. Man Cybern. A Syst. Humans, 26, 826–831, 1996.
Hines, E. E. and Landis, W. G.: Regional risk assessment of the Puyallup River Watershed and the evaluation of low impact development in meeting
management goals, Integr. Environ. Assess. Manage., 10, 269–278, 2014.
Hunter, P. R., de Sylor, M. A., Risebro, H. L., Nichols, G. L., Kay, D., and
Hartemann, P.: Quantitative microbial risk assessment of cryptosporidiosis
and giardiasis from very small private water supplies, Risk Anal., 31, 228–236, 2011.
Immerzeel, W. W., Lutz, A. F., Andrade, M., Bahl, A., Biemans, H., Bolch, T., Hyde, S., Brumby, S., Davies, B. J., and Elmore, A. C.: Importance and
vulnerability of the world's water towers, Nature, 577, 364–369, 2020.
Jalilov, S.-M., Keskinen, M., Varis, O., Amer, S., and Ward, F. A.: Managing
the water–energy–food nexus: Gains and losses from new water development
in Amu Darya River Basin, J. Hydrol., 539, 648–661, 2016.
Jalilov, S.-M., Amer, S. A., and Ward, F. A.: Managing the water-energy-food
nexus: Opportunities in Central Asia, J. Hydrol., 557, 407–425, 2018.
Joetzjer, E., Douville, H., Delire, C., Ciais, P., Decharme, B., and Tyteca, S.: Hydrologic benchmarking of meteorological drought indices at interannual to climate change timescales: a case study over the Amazon and Mississippi river basins, Hydrol. Earth Syst. Sci., 17, 4885–4895, https://doi.org/10.5194/hess-17-4885-2013, 2013.
Kaddoura, S. and El Khatib, S.: Review of water-energy-food Nexus tools to
improve the Nexus modelling approach for integrated policy making, Environ.
Sci. Policy, 77, 114–121, 2017.
Keshtkar, A. R., Salajegheh, A., Sadoddin, A., and Allan, M. G.: Application
of Bayesian networks for sustainability assessment in catchment modeling and
management (Case study: The Hablehrood river catchment), Ecol. Model., 268,
48–54, 2013.
Kraaijenbrink, P. D. A., Bierkens, M. F. P., Lutz, A. F., and Immerzeel, W. W.: Impact of a global temperature rise of 1.5 degrees Celsius on Asia's
glaciers, Nature, 549, 257–260, https://doi.org/10.1038/nature23878, 2017.
Ladson, A. R. and Argent, R. M.: Adaptive management of environmental flows:
lessons for the Murray-Darling Basin from three large North American rivers,
Australas, J. Water Resour., 5, 89–101, 2002.
Laskey, K. B.: Sensitivity analysis for probability assessments in Bayesian
networks, IEEE T. Syst. Man. Cybern., 25, 901–909, 1995.
Lee, S.-H., Mohtar, R. H., and Yoo, S.-H.: Assessment of food trade impacts on water, food, and land security in the MENA region, Hydrol. Earth Syst. Sci., 23, 557–572, https://doi.org/10.5194/hess-23-557-2019, 2019.
Lee, S.-H., Assi, A. T., Daher, B., Mengoub, F. E., and Mohtar, R. H.: A Water-Energy-Food Nexus approach for conducting trade-off analysis: Morocco's phosphate industry in the Khouribga region, Hydrol. Earth Syst. Sci., 24, 4727–4741, https://doi.org/10.5194/hess-24-4727-2020, 2020.
Lee, S. O. and Jung, Y.: Efficiency of water use and its implications for a
water-food nexus in the Aral Sea Basin, Agr. Water Manage., 207, 80–90, 2018.
Liu, T., Willems, P., Pan, X. L., Bao, An. M., Chen, X., Veroustraete, F., and Dong, Q. H.: Climate change impact on water resource extremes in a headwater region of the Tarim basin in China, Hydrol. Earth Syst. Sci., 15, 3511–3527, https://doi.org/10.5194/hess-15-3511-2011, 2011.
Ma, Y., Li, Y. P., and Huang, G. H.: A bi-level chance-constrained programming method for quantifying the effectiveness of water-trading to
water-food-ecology nexus in Amu Darya River basin of Central Asia, Environ.
Res., 183, 109229, https://doi.org/10.1016/j.envres.2020.109229, 2020.
Marcot, B. G.: Metrics for evaluating performance and uncertainty of Bayesian network models, Ecol. Model., 230, 50–62, 2012.
Marcot, B. G., Steventon, J. D., Sutherland, G. D., and McCann, R. K.:
Guidelines for developing and updating Bayesian belief networks applied to
ecological modeling and conservation, Can. J. Forest Res., 36, 3063–3074,
2006.
Micklin, P.: Desiccation of the Aral Sea: a water management disaster in the
Soviet Union, Scienc, 241, 1170–1176, 1988.
Micklin, P.: The Aral sea disaster, Annu. Rev. Earth Planet. Sci., 35, 47–72, 2007.
Micklin, P.: The past, present, and future Aral Sea, Lakes Reserv. Res. Manage., 15, 193–213, 2010.
Molina, J.-L., Farmani, R., and Bromley, J.: Aquifers management through
evolutionary bayesian networks: The altiplano case study (se spain), Water
Resour. Manage., 25, 3883, https://doi.org/10.1007/s11269-011-9893-z, 2011.
Moon, T. K.: The expectation-maximization algorithm, IEEE Sig. Process. Mag., 13, 47–60, 1996.
Müller Schmied, H., Eisner, S., Franz, D., Wattenbach, M., Portmann, F. T., Flörke, M., and Döll, P.: Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration, Hydrol. Earth Syst. Sci., 18, 3511–3538, https://doi.org/10.5194/hess-18-3511-2014, 2014.
Nash, D. and Hannah, M.: Using Monte-Carlo simulations and Bayesian Networks
to quantify and demonstrate the impact of fertiliser best management practices, Environ. Model. Softw., 26, 1079–1088, 2011.
Neal, R. M.: Probabilistic inference using Markov chain Monte Carlo methods,
Department of Computer Science, University of Toronto, Toronto, ON, Canada, 1993.
Pagano, A., Giordano, R., Portoghese, I., Fratino, U., and Vurro, M.: A Bayesian vulnerability assessment tool for drinking water mains under extreme events, Nat. Hazards, 74, 2193–2227, 2014.
Payet-Burin, R., Kromann, M., Pereira-Cardenal, S., Strzepek, K. M., and Bauer-Gottwein, P.: WHAT-IF: an open-source decision support tool for water infrastructure investment planning within the water–energy–food–climate nexus, Hydrol. Earth Syst. Sci., 23, 4129–4152, https://doi.org/10.5194/hess-23-4129-2019, 2019.
Pearl, J.: Bayesian netwcrks: A model cf self-activated memory for evidential reasoning, in Proceedings of the 7th Conference of the Cognitive Science Society, University of California, Irvine, CA, USA, 15–17, 1985.
Pekel, J.-F., Cottam, A., Gorelick, N., and Belward, A. S.: High-resolution
mapping of global surface water and its long-term changes, Nature, 540, 418–422, 2016.
Pohl, E., Gloaguen, R., Andermann, C., and Knoche, M.: Glacier melt buffers
river runoff in the Pamir Mountains, Water Resour. Res., 53, 2467–2489, 2017.
Quinn, J. M., Monaghan, R. M., Bidwell, V. J., and Harris, S. R.: A Bayesian
Belief Network approach to evaluating complex effects of irrigation-driven
agricultural intensification scenarios on future aquatic environmental and
economic values in a New Zealand catchment, Mar. Freshw. Res., 64, 460–474, 2013.
Ravar, Z., Zahraie, B., Sharifinejad, A., Gozini, H., and Jafari, S.: System
dynamics modeling for assessment of water–food–energy resources security and nexus in Gavkhuni basin in Iran, Ecol. Indic., 108, 105682,
https://doi.org/10.1016/j.ecolind.2019.105682, 2020.
Robertson, D. E., Wang, Q. J., McAllister, A. T., Abuzar, M., Malano, H. M.,
and Etchells, T.: A Bayesian network approach to knowledge integration and
representation of farm irrigation: 3. Spatial application, Water Resour. Res., 45, W02411, https://doi.org/10.1029/2006WR005421, 2009.
Sadeghi, S. H., Moghadam, E. S., Delavar, M., and Zarghami, M.: Application
of water-energy-food nexus approach for designating optimal agricultural
management pattern at a watershed scale, Agr. Water Manage., 233, 106071,
https://doi.org/10.1016/j.agwat.2020.106071, 2020.
Shi, H., Luo, G., Zheng, H., Chen, C., Bai, J., Liu, T., Ochege, F. U., and
De Maeyer, P.: Coupling the water-energy-food-ecology nexus into a Bayesian
network for water resources analysis and management in the Syr Darya River
basin, J. Hydrol., 581, 124387, https://doi.org/10.1016/j.jhydrol.2019.124387, 2020.
Shi, H., Luo, G., Liu, S., and Bai, J.: Aral Basin data, Figshare,
https://doi.org/10.6084/m9.figshare.13516472, 2021.
Siegfried, T. and Bernauer, T.: Estimating the performance of international
regulatory regimes: Methodology and empirical application to international
water management in the Naryn/Syr Darya basin, Water Resour. Res., 43, W11406, https://doi.org/10.1029/2006WR005738, 2007.
Smith, C. S., Howes, A. L., Price, B., and McAlpine, C. A.: Using a Bayesian
belief network to predict suitable habitat of an endangered mammal – The
Julia Creek dunnart (Sminthopsis douglasi), Biol. Conserv., 139, 333–347, 2007.
Sorg, A., Bolch, T., Stoffel, M., Solomina, O., and Beniston, M.: Climate
change impacts on glaciers and runoff in Tien Shan (Central Asia), Nat. Clim. Change, 2, 725–731, 2012.
Sun, J., Li, Y. P., Suo, C., and Liu, Y. R.: Impacts of irrigation efficiency
on agricultural water-land nexus system management under multiple uncertainties – A case study in Amu Darya River basin, Central Asia, Agr.
Water Manage., 216, 76–88, 2019.
Syed, T. H., Famiglietti, J. S., Chen, J., Rodell, M., Seneviratne, S. I.,
Viterbo, P., and Wilson, C. R.: Total basin discharge for the Amazon and
Mississippi River basins from GRACE and a land-atmosphere water balance, Geophys. Res. Lett., 32, L24404, https://doi.org/10.1029/2005GL024851, 2005.
Taner, M. Ü., Ray, P., and Brown, C.: Incorporating Multidimensional
Probabilistic Information Into Robustness-Based Water Systems Planning, Water Resour. Res., 55, 3659–3679, https://doi.org/10.1029/2018WR022909, 2019.
Vetter, T., Reinhardt, J., Flörke, M., van Griensven, A., Hattermann, F., Huang, S., Koch, H., Pechlivanidis, I. G., Plötner, S., and Seidou, O.: Evaluation of sources of uncertainty in projected hydrological changes under climate change in 12 large-scale river basins, Climatic Change, 141, 419–433, 2017.
Wang, A., Wang, Y., Su, B., Kundzewicz, Z. W., Tao, H., Wen, S., Qin, J., Gong, Y., and Jiang, T.: Comparison of Changing Population Exposure to Droughts in River Basins of the Tarim and the Indus, Earth's Future, 8,
e2019EF001448, https://doi.org/10.1029/2019ef001448, 2020.
Wang, X., Luo, Y., Sun, L., He, C., Zhang, Y., and Liu, S.: Attribution of
runoff decline in the Amu Darya River in Central Asia during 1951–2007, J.
Hydrometeorol., 17, 1543–1560, 2016.
Watthayu, W. and Peng, Y.: A Bayesian network based framework for multi-criteria decision making, in: Proceedings of the 17th international
conference on multiple criteria decision analysis, 6–11 August 2004, Whistler, BC, Canada, 2004.
Xue, J., Gui, D., Lei, J., Zeng, F., Mao, D., and Zhang, Z.: Model development of a participatory Bayesian network for coupling ecosystem services into integrated water resources management, J. Hydrol., 554, 50–65, 2017.
Yang, Y. C. E. and Wi, S.: Informing regional water-energy-food nexus with
system analysis and interactive visualization – A case study in the Great
Ruaha River of Tanzania, Agr. Water Manage., 196, 75–86, 2018.
Zawahri, N. A.: International rivers and national security: The Euphrates,
Ganges–Brahmaputra, Indus, Tigris, and Yarmouk rivers 1, Nat. Resour. Forum, 32, 280–289, https://doi.org/10.1111/j.1477-8947.2008.00204.x, 2008.
Zhang, X. and Vesselinov, V. V: Integrated modeling approach for optimal
management of water, energy and food security nexus, Adv. Water Resour., 101, 1–10, 2017.
Zhang, Z., Hu, H., Tian, F., Yao, X., and Sivapalan, M.: Groundwater dynamics under water-saving irrigation and implications for sustainable water management in an oasis: Tarim River basin of western China, Hydrol. Earth Syst. Sci., 18, 3951–3967, https://doi.org/10.5194/hess-18-3951-2014, 2014.
Short summary
Some river basins are considered to be very similar because they have a similar background such as a transboundary, facing threats of human activities. But we still lack understanding of differences under their general similarities. Therefore, we proposed a framework based on a Bayesian network to group watersheds based on similarity levels and compare the causal and systematic differences within the group. We applied it to the Amu and Syr Darya River basin and discussed its universality.
Some river basins are considered to be very similar because they have a similar background such...
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