Articles | Volume 26, issue 5
https://doi.org/10.5194/hess-26-1261-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1261-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Mar 2022
Research article |
| 09 Mar 2022
| 09 Mar 2022
Probabilistic modelling of the inherent field-level pesticide pollution risk in a small drinking water catchment using spatial Bayesian belief networks
Mads Troldborg
CORRESPONDING AUTHOR
Information and Computational Sciences, The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH,
Scotland, UK
Zisis Gagkas
Environmental and Biochemical Sciences, The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH,
Scotland, UK
Andy Vinten
Environmental and Biochemical Sciences, The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH,
Scotland, UK
Allan Lilly
Environmental and Biochemical Sciences, The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH,
Scotland, UK
Miriam Glendell
CORRESPONDING AUTHOR
Environmental and Biochemical Sciences, The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH,
Scotland, UK
Related authors
Hossein Abbasizadeh, Petr Maca, Martin Hanel, Mads Troldborg, and Amir AghaKouchak
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-297, https://doi.org/10.5194/hess-2024-297, 2024
Preprint under review for HESS
Short summary
Short summary
Here, we represented catchments as networks of variables connected by cause-and-effect relationships. By comparing the performance of statistical and machine learning methods with and without incorporating causal information to predict runoff properties, we showed that causal information can enhance models' robustness by reducing accuracy drop between training and testing phases, improving the model's interpretability, and mitigating overfitting issues, especially with small training samples.
Hossein Abbasizadeh, Petr Maca, Martin Hanel, Mads Troldborg, and Amir AghaKouchak
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-297, https://doi.org/10.5194/hess-2024-297, 2024
Preprint under review for HESS
Short summary
Short summary
Here, we represented catchments as networks of variables connected by cause-and-effect relationships. By comparing the performance of statistical and machine learning methods with and without incorporating causal information to predict runoff properties, we showed that causal information can enhance models' robustness by reducing accuracy drop between training and testing phases, improving the model's interpretability, and mitigating overfitting issues, especially with small training samples.
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
Short summary
Short summary
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.
Jingjing Guo, Miriam Glendell, Jeroen Meersmans, Frédérique Kirkels, Jack J. Middelburg, and Francien Peterse
Biogeosciences, 17, 3183–3201, https://doi.org/10.5194/bg-17-3183-2020, https://doi.org/10.5194/bg-17-3183-2020, 2020
Short summary
Short summary
The fluxes of soil organic carbon (OC) transport from land to sea are poorly constrained, mostly due to the lack of a specific tracer for soil OC. Here we evaluate the use of specific molecules derived from soil bacteria as a tracer for soil OC in a small river catchment. We find that the initial soil signal is lost upon entering the aquatic environment. However, the local environmental history of the catchment is reflected by these molecules in the lake sediments that act as their sink.
D. Graeber, G. Goyenola, M. Meerhoff, E. Zwirnmann, N. B. Ovesen, M. Glendell, J. Gelbrecht, F. Teixeira de Mello, I. González-Bergonzoni, E. Jeppesen, and B. Kronvang
Hydrol. Earth Syst. Sci., 19, 2377–2394, https://doi.org/10.5194/hess-19-2377-2015, https://doi.org/10.5194/hess-19-2377-2015, 2015
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Modelling approaches
Modeling hydropower operations at the scale of a power grid: a demand-based approach
Determining the threshold of issuing flash flood warnings based on people's response process simulation
Modeling water balance components of conifer species using the Noah-MP model in an eastern Mediterranean ecosystem
Assessment of upscaling methodologies for daily crop transpiration using sap flows and two-source energy balance models in almonds under different water statuses and production systems
Making a case for power-sensitive water modelling: a literature review
Developing water supply reservoir operating rules for large-scale hydrological modelling
An investigation of anthropogenic influences on hydrologic connectivity using model stress tests
The H2Ours game to explore water use, resources and sustainability: connecting issues in two landscapes in Indonesia
Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models
Impact of reservoir evaporation on future water availability in north-eastern Brazil: a multi-scenario assessment
How economically and environmentally viable are multiple dams in the upper Cauvery Basin, India? A hydro-economic analysis using a landscape-based hydrological model
Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction
Optimising Ensemble Streamflow Predictions with Bias-Correction and Data Assimilation Techniques
Extracting Spatiotemporal Flood Information from News Texts Using Machine Learning for a National Dataset in China
The interprovincial green water flow in China and its tele-connected effects on socio-economy
Spatially explicit assessment of water scarcity and potential mitigating solutions in a large water-limited basin: the Yellow River basin in China
A generalised ecohydrological landscape classification for assessing ecosystem risk in Australia due to an altering water regime
A scalable and modular reservoir implementation for large scale integrated hydrologic simulations
Process-based three-layer synergistic optimal-allocation model for complex water resource systems considering reclaimed water
Joint optimal operation of the South-to-North Water Diversion Project considering the evenness of water deficit
Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management
How to account for irrigation withdrawals in a watershed model
Inferring reservoir filling strategies under limited-data-availability conditions using hydrological modeling and Earth observations: the case of the Grand Ethiopian Renaissance Dam (GERD)
The precision of satellite-based net irrigation quantification in the Indus and Ganges basins
Developing a Bayesian network model for understanding river catchment resilience under future change scenarios
Quantifying the trade-offs in re-operating dams for the environment in the Lower Volta River
Dynamically coupling system dynamics and SWAT+ models using Tinamït: application of modular tools for coupled human–water system models
Development of an integrated socio-hydrological modeling framework for assessing the impacts of shelter location arrangement and human behaviors on flood evacuation processes
Cooperation in a transboundary river basin: a large-scale socio-hydrological model of the Eastern Nile
Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts
An improved model of shade-affected stream temperature in Soil & Water Assessment Tool
Seasonal forecasting of snow resources at Alpine sites
Operationalizing equity in multipurpose water systems
Evaluation of a new observationally based channel parameterization for the National Water Model
High-resolution drought simulations and comparison to soil moisture observations in Germany
Cooperation under conflict: participatory hydrological modeling for science policy dialogues for the Aculeo Lake
Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty
Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP
A system dynamic model to quantify the impacts of water resources allocation on water–energy–food–society (WEFS) nexus
Net irrigation requirement under different climate scenarios using AquaCrop over Europe
The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa
Unfolding the relationship between seasonal forecast skill and value in hydropower production: a global analysis
Drought impact links to meteorological drought indicators and predictability in Spain
Opportunities for seasonal forecasting to support water management outside the tropics
Are maps of nitrate reduction in groundwater altered by climate and land use changes?
Historical simulation of maize water footprints with a new global gridded crop model ACEA
Future upstream water consumption and its impact on downstream water availability in the transboundary Indus Basin
Identifying the dynamic evolution and feedback process of water resources nexus system considering socioeconomic development, ecological protection, and food security: A practical tool for sustainable water use
Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land
Robustness of a parsimonious subsurface drainage model at the French national scale
Laure Baratgin, Jan Polcher, Patrice Dumas, and Philippe Quirion
Hydrol. Earth Syst. Sci., 28, 5479–5509, https://doi.org/10.5194/hess-28-5479-2024, https://doi.org/10.5194/hess-28-5479-2024, 2024
Short summary
Short summary
Hydrological modeling is valuable for estimating the potential impact of climate change on hydropower generation. This study presents a comprehensive approach to modeling the management of hydroelectric reservoirs in hydrological models. The total power grid demand for hydropower is distributed to the various power plants to compute their release. The method is tested on the French national power grid, and it is demonstrated that it successfully reproduces the observed behavior of reservoirs.
Ruikang Zhang, Dedi Liu, Lihua Xiong, Jie Chen, Hua Chen, and Jiabo Yin
Hydrol. Earth Syst. Sci., 28, 5229–5247, https://doi.org/10.5194/hess-28-5229-2024, https://doi.org/10.5194/hess-28-5229-2024, 2024
Short summary
Short summary
Flash flood warnings cannot be effective without people’s responses to them. We propose a method to determine the threshold of issuing warnings based on a people’s response process simulation. The results show that adjusting the warning threshold according to people’s tolerance levels to the failed warnings can improve warning effectiveness, but the prerequisite is to increase forecasting accuracy and decrease forecasting variance.
Mohsen Amini Fasakhodi, Hakan Djuma, Ioannis Sofokleous, Marinos Eliades, and Adriana Bruggeman
Hydrol. Earth Syst. Sci., 28, 5209–5227, https://doi.org/10.5194/hess-28-5209-2024, https://doi.org/10.5194/hess-28-5209-2024, 2024
Short summary
Short summary
This study examined the water use of pine and cypress trees in a semiarid Mediterranean forest environment. We applied a widely used land surface model (Noah-MP) to simulate the water balance of the ecosystem. We found good modeling results for soil moisture. However, the model underestimated the transpiration of the trees during the dry summer months. These findings indicate that more research is needed to improve the modeling of ecosystem responses to climate and land use change.
Manuel Quintanilla-Albornoz, Xavier Miarnau, Ana Pelechá, Héctor Nieto, and Joaquim Bellvert
Hydrol. Earth Syst. Sci., 28, 4797–4818, https://doi.org/10.5194/hess-28-4797-2024, https://doi.org/10.5194/hess-28-4797-2024, 2024
Short summary
Short summary
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.
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., 28, 4157–4186, https://doi.org/10.5194/hess-28-4157-2024, https://doi.org/10.5194/hess-28-4157-2024, 2024
Short summary
Short summary
The exact power of models often remains hidden, especially when neutrality is claimed. Our review of 61 scientific articles shows that in the scientific literature little attention is given to the power of water models to influence development processes and outcomes. However, 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 are made and with what effects.
Saskia Salwey, Gemma Coxon, Francesca Pianosi, Rosanna Lane, Chris Hutton, Michael Bliss Singer, Hilary McMillan, and Jim Freer
Hydrol. Earth Syst. Sci., 28, 4203–4218, https://doi.org/10.5194/hess-28-4203-2024, https://doi.org/10.5194/hess-28-4203-2024, 2024
Short summary
Short summary
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 and 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.
Amelie Herzog, Jost Hellwig, and Kerstin Stahl
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
Short summary
Short summary
Surface water–groundwater interaction can vary along a river. This study used a groundwater model that reproduced relative observed longitudinal and vertical connectivity patterns in the river network to assess the system's response to imposed stress tests. For the case study, imposed groundwater abstraction appears to influence connectivity relatively more than altered recharge, but a quantification of absolute exchange flows will require further model improvements.
Lisa Tanika, Rika Ratna Sari, Arief Lukman Hakim, Meine van Noordwijk, Marielos Peña-Claros, Beria Leimona, Edi Purwanto, and Erika N. Speelman
Hydrol. Earth Syst. Sci., 28, 3807–3835, https://doi.org/10.5194/hess-28-3807-2024, https://doi.org/10.5194/hess-28-3807-2024, 2024
Short summary
Short summary
The H2Ours game is designed to facilitate knowledge transfer and sharing among stakeholders to trigger commitment and collaborative action to restore hydrological conditions. The adaptability of the H2Ours game was proven in two different landscapes: groundwater recharge in upper to middle sub-watersheds with (over)use of water in the lowland zone and a peatland with drainage, rewetting, oil palm conversion and fire as issues. The game evaluation shows that the H2Ours game meets its purpose.
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
Short summary
Short summary
Monitoring agricultural drainage flow in irrigated areas is key to water and soil management. In this paper, four simple drainage models are evaluated on two irrigated sub-basins where drainage flow is measured daily. The evaluation of their precision shows that they simulate drainage very well when calibrated with drainage data and that one of them is slightly better. The evaluation of their accuracy shows that only one model can provide rough drainage estimates without calibration data.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Maliko Tanguy, Michael Eastman, Amulya Chevuturi, Eugene Magee, Elizabeth Cooper, Robert H. B. Johnson, Katie Facer-Childs, and Jamie Hannaford
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-179, https://doi.org/10.5194/hess-2024-179, 2024
Preprint under review for HESS
Short summary
Short summary
Our research compares two techniques, Bias-Correction (BC) and Data Assimilation (DA), for improving river flow forecasts across 316 UK catchments. BC, which corrects errors post-simulation, showed broad improvements, while DA, adjusting model states pre-forecast, excelled in specific conditions like snowmelt and high base flows. Each method's unique strengths suit different scenarios. These insights can enhance forecasting systems, offering reliable and user-friendly hydrological predictions.
Shengnan Fu, David M. Schultz, Heng Lyu, Zhonghua Zheng, and Chi Zhang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-146, https://doi.org/10.5194/hess-2024-146, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
To address the lack of county-level flood dataset in China, we used machine learning techniques to accurately identify flood events and locations from news reports. This dataset offers crucial insights into the spatiotemporal distribution of urban flooding from 2000 to 2022, highlighting increases in flood occurrences and identifying key vulnerable areas. These findings are vital for enhancing urban planning in China, aiming to mitigate the impact of future floods.
Shan Sang, Yan Li, Chengcheng Hou, Shuangshuang Zi, and Huiqing Lin
EGUsphere, https://doi.org/10.5194/egusphere-2024-1420, https://doi.org/10.5194/egusphere-2024-1420, 2024
Short summary
Short summary
Green water flow among each province in China embodies substantial socio-economic values. Green water flow and its tele-connected socio-economic effects should be considered in water resources management in additional to blue water.
Weibin Zhang, Xining Zhao, Xuerui Gao, Wei Liang, Junyi Li, and Baoqing Zhang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-88, https://doi.org/10.5194/hess-2024-88, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
An integrated framework was applied in the Yellow River basin to assess the water crisis. Results indicate worsening water scarcity during 1965‒2013, driven by irrigation and climate changes. Local water yield and upstream flows are key drivers of sub-basin water availability. To reduce the water deficit of 10 km3 by 2030s, enhancing irrigation efficiency and water transfer project are crucial, emphasizing the imperative of combining supply and demand-oriented measures to solve the water crisis.
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
Short summary
Short summary
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.
Benjamin D. West, Reed M. Maxwell, and Laura E. Condon
EGUsphere, https://doi.org/10.5194/egusphere-2024-965, https://doi.org/10.5194/egusphere-2024-965, 2024
Short summary
Short summary
This article describes the addition of reservoirs to the hydrologic model, ParFlow. ParFlow is particularly good at helping us understand some of the broader drivers behind different parts of the water cycle. By having reservoirs in such a model we hope to be better able to understand both our impacts on the environment, and how to adjust our management of reservoirs to changing conditions.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Cited articles
Aguilera, P. A., Fernandez, A., Fernandez, R., Rumi, R., and Salmeron, A.:
Bayesian networks in environmental modelling, Environ. Modell. Softw.,
26, 1376–1388, https://doi.org/10.1016/j.envsoft.2011.06.004, 2011.
Aller, L., Bennet, T., Leher, J. H., Petty, R. J., and Hackett, G.: DRASTIC: a standardized system for evaluating ground water pollution potential using hydrogeological settings, EPA, 641 pp., 1987.
Babaei, H., Nazari-Sharabian, M., Karakouzian, M., and Ahmad, S.:
Identification of critical source areas (CSAs) and evaluation of best
management practices (BMPs) in controlling eutrophication in the Dez River
basin, Environments, 6, 1–15, https://doi.org/10.3390/environments6020020, 2019.
Bereswill, R., Streloke, M., and Schulz, R.: Risk mitigation measures for
diffuse pesticide entry into aquatic ecosystems: proposal of a guide to
identify appropriate measures on a catchment scale, Integr. Environ.
Assess., 10, 286–298, https://doi.org/10.1002/ieam.1517, 2014.
Beven, K., Asadullah, A., Bates, P., Blyth, E., Chappell, N., Child, S.,
Cloke, H., Dadson, S., Everard, N., Fowler, H. J., Freer, J., Hannah, D. M.,
Heppell, K., Holden, J., Lamb, R., Lewis, H., Morgan, G., Parry, L., and
Wagener, T.: Developing observational methods to drive future hydrological
science: Can we make a start as a community?, Hydrol. Process., 34,
868–873, https://doi.org/10.1002/hyp.13622, 2019.
Carriger, J. F. and Newman, M. C.: Influence diagrams as decision-making
tools for pesticide risk management, Integr. Environ. Assess., 8,
339–350, https://doi.org/10.1002/ieam.268, 2012.
Carriger, J. F., Barron, M. G., and Newman, M. C.: Bayesian Networks Improve
Causal Environmental Assessments for Evidence-Based Policy, Environ. Sci.
Technol., 50, 13195–13205, https://doi.org/10.1021/acs.est.6b03220, 2016.
Carriger, J. F., Yee, S. H., and Fisher, W. S.: Assessing Coral Reef
Condition Indicators for Local and Global Stressors Using Bayesian Networks,
Integr. Environ. Assess., 17, 165–187, https://doi.org/10.1002/ieam.4368,
2021.
Cash, D., Clark, W. C., Alcock, F., Dickson, N., Eckley, N., and Jäger,
J.: Salience, Credibility, Legitimacy and Boundaries: Linking Research,
Assessment and Decision Making, SSRN Electron. J., John F. Kennedy School of Government Harvard University Faculty Research Working Papers Series, RWP02-046, 25 pp., https://doi.org/10.2139/ssrn.372280, 2005.
Doody, D. G., Archbold, M., Foy, R. H., and Flynn, R.: Approaches to the
implementation of the Water Framework Directive: Targeting mitigation
measures at critical source areas of diffuse phosphorus in Irish catchments,
J. Environ. Manage., 93, 225–234, https://doi.org/10.1016/j.jenvman.2011.09.002, 2012.
Drewry, J. J., Newham, L. T. H., and Greene, R. S. B.: Index models to
evaluate the risk of phosphorus and nitrogen loss at catchment scales, J.
Environ. Manage., 92, 639–649, https://doi.org/10.1016/j.jenvman.2010.10.001, 2011.
Duttagupta, S., Mukherjee, A., Das, K., Dutta, A., Bhattacharya, A., and
Bhattacharya, J.: Groundwater vulnerability to pesticide pollution
assessment in the alluvial aquifer of Western Bengal basin, India using
overlay and index method, Geochemistry, 80, 125601, https://doi.org/10.1016/j.chemer.2020.125601, 2020.
ESRI: ArcGIS Desktop: Release 10.1, Environmental Systems Research Institute, Redlands, CA, USA, 2011.
European Commission: Council Directive 98/83/EC on the quality of water
intended for human consumption, L330, 32–54, https://eur-lex.europa.eu/eli/dir/1998/83/oj (last access: 24 February 2022), 1998.
European Commission: Directive 2000/60/EC of the European Parliament and of
the Council of 23 October 2000 establishing a framework for Community action
in the field of water policy, Official Journal of the European Communities, L327, 1–72, 2000.
European Commission: Directive 2006/118/EC, Groundwater Directive, Official Journal of the European Union, L372, 19–31, 2006.
European Soil Bureau Network: Soil Atlas of Europe, edited by: Jones, A., Montanerella, L., and Jones, R., 128 pp., Office for Official Publications of the European Communities, Luxembourg, ISBN 928948120X, 2005.
Fenton, N. and Neil, M.: Risk Assessment and Decision Analysis with Bayesian
Networks, CRC Press Taylor and Francis, Boca Raton, Florida, USA, 2013.
Fomsgaard, I. S.: Degradation of pesticides in subsurface soils, unsaturated
zone – a review of methods and results, Int. J. Environ. An. Ch., 58,
231–245, 1995.
Ghahramani, A., Freebairn, D. M., Sena, D. R., Cutajar, J. L., and Silburn,
D. M.: A pragmatic parameterisation and calibration approach to model
hydrology and water quality of agricultural landscapes and catchments,
Environ. Modell. Softw., 130, 104733,
https://doi.org/10.1016/j.envsoft.2020.104733, 2020.
QGIS Development Team: QGIS Geographic Information System, https://www.qgis.org, last access: 24 February 2022.
Gibert, K., Izquierdo, J., Sanchez-Marre, M., Hamilton, S. H.,
Rodriguez-Roda, I., and Holmes, G.: Which method to use? An assessment of
data mining methods in Environmental Data Science, Environ. Modell. Softw., 110, 3–27, https://doi.org/10.1016/j.envsoft.2018.09.021, 2018.
Grauso, S., Pasanisi, F., and Tebano, C.: Assessment of a simplified
connectivity index and specific sediment potential in river basins by means
of geomorphometric tools, Geosciences, 8, 48, https://doi.org/10.3390/geosciences8020048,
2018.
Guo, K., Zhang, X., Kuai, X., Wu, Z., Chen, Y., and Liu, Y.: A spatial
bayesian-network approach as a decision-making tool for ecological-risk
prevention in land ecosystems, Ecol. Model., 419, 108929, https://doi.org/10.1016/j.ecolmodel.2019.108929, 2020.
Gustafson, D. I.: Groundwater ubiquity score: A simple method for assessing
pesticide leachability, Environ. Toxicol. Chem., 8, 339–357, 1989.
Henriksen, H. J., Kjær, J., Brüsh, W., Jacobsen, L. B., Jensen, J.
D., Grinderslev, D., and Andersen, P.: Environmental benefits and social cost
– An example of combining Bayesian networks and economic models for
analysing pesticide management instruments, Nord. Hydrol., 38, 351–371,
https://doi.org/10.2166/nh.2007.017, 2007.
Hills, R. C. and Morgan, J. H. T.: Rainfall statistics: An interactive
approach to analysing rainfall records for agricultural purposes, Exp.
Agric., 17, 1–16, https://doi.org/10.1017/S0014479700011170, 1981.
Jones, R. L., Keen, D. H., Birnie, J. F., and Waton, P. V: Past landscapes of
Jersey: Environmental changes during the last ten thousand years, 156 pp., Societe Jersiaise, Jersey, ISBN 10: 0901897183, 1990.
Jury, W. A., Dennis, D. F., and Farmer, W. J.: Evaluation of Pesticide
Groundwater Pollution Potential from Standard Indices of Soil-Chemical
Adsorption and Biodegradation, J. Environ. Qual., 16, 422–428, 1987.
Kah, M. and Brown, C. D.: Adsorption of ionisable pesticides in soils, in: Reviews of Environmental Contamination and Toxicology, edited by: Ware, G.W. et al., Rev. Environ. Contam. T., 188, 149–217, https://doi.org/10.1007/978-0-387-32964-2_5, 2006.
Kaikkonen, L., Parviainen, T., Rahikainen, M., Uusitalo, L., and Lehikoinen,
A.: Bayesian Networks in Environmental Risk Assessment: A review, Integr. Environ. Assess., 17, 62–78, https://doi.org/10.1002/ieam.4332, 2020.
Kjærulff, U. and van der Gaag, L. C.: Making Sensitivity Analysis Computationally Efficient, Proceedings of the Sixteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI 2000), 30 June 2000–3 July 2000, Stanford University, Stanford, CA, USA, 317–325, 2000.
Köhne, J. M., Köhne, S., and Šimůnek, J.: A review of model
applications for structured soils: b) Pesticide transport, J. Contam.
Hydrol., 104, 36–60, https://doi.org/10.1016/j.jconhyd.2008.10.003, 2009.
Koiter, J. R.: Visualizing Inference in Bayesian Networks, M.Sc. thesis, Faculty of Electrical Engineering, Mathematics, and Computer Science, Department of Man-Machine Interaction, Delft University of Technology, The Netherlands, 2006.
Kookana, R. S., Correll, R. L., and Miller, R. B.: Pesticide impact rating
index – A pesticide risk indicator for water quality, Water Air Soil Pollut: Focus, 5, 45–65, https://doi.org/10.1007/s11267-005-7397-7, 2005.
Korb, K. B. and Nicholson, A. E.: Bayesian artificial intelligence, second edn., Computer Science and Data Analysis Series, 491 pp., CRC Press, Baton Rouge, https://doi.org/10.1201/b10391, 2010.
Koszinski, S., Wendroth, O., and Lehfeldt, J.: Field scale heterogeneity of
soil structural properties in a moraine landscape of north-eastern Germany,
Int. Agrophysics, 9, 201–210, 1995.
Lane, S. N., Reaney, S. M., and Heathwaite, A. L.: Representation of
landscape hydrological connectivity using a topographically driven surface
flow index, Water Resour. Res., 45, W08423, https://doi.org/10.1029/2008WR007336, 2009.
Lewis, K. A., Tzilivakis, J., Warner, D., and Green, A.: An
international database for pesticide risk assessments and management, Hum. Ecol. Risk Assess., 22, 1050–1064, https://doi.org/10.1080/10807039.2015.1133242, 2016.
MAFF: Agricultural land classification of England and Wales – Revised criteria for grading the quality of agricultural land, Ministry of Agriculture, Fisheries and Food, 1988.
Masante, D.: Package “bnspatial”, GitHub [code], http://github.com/dariomasante/bnspatial (last access: 24 February 2022), 2017.
Mentzel, S., Grung, M., Tollefsen, K. E., Stenrød, M., Petersen, K., and
Moe, S. J.: Development of a Bayesian network for probabilistic risk
assessment of pesticides, bioRxiv [preprint], 2021.05.20.444913,
https://doi.org/10.1101/2021.05.20.444913, 2021.
Moe, S. J., Carriger, J. F., and Glendell, M.: Increased Use of Bayesian
Network Models has Improved Environmental Risk Assessments, Integr. Environ. Assess., 17, 53–61, https://doi.org/10.1002/ieam.4369, 2021.
Nobre, R. C. M., Rotunno Filho, O. C., Mansur, W. J., Nobre, M. M. M., and
Cosenza, C. A. N.: Groundwater vulnerability and risk mapping using GIS,
modeling and a fuzzy logic tool, J. Contam. Hydrol., 94, 277–292,
https://doi.org/10.1016/j.jconhyd.2007.07.008, 2007.
Nojavan, A. F., Qian, S. S., and Stow, C. A.: Comparative analysis of
discretization methods in Bayesian networks, Environ. Modell. Softw., 87,
64–71, https://doi.org/10.1016/j.envsoft.2016.10.007, 2017.
O'Hagan, A.: Probabilistic uncertainty specification: Overview, elaboration
techniques and their application to a mechanistic model of carbon flux,
Environ. Modell. Softw., 36, 35–48, https://doi.org/10.1016/j.envsoft.2011.03.003, 2012.
Oakley, J.: Package “SHELF”, GitHub [code], https://github.com/OakleyJ/SHELF (last access: 24 February 2022), 2020.
OECD: Annex 2 – Report of Phase 1 of the Aquatic Risk Indicators Project, https://www.oecd.org/chemicalsafety/pesticides-biocides/2078678.pdf (last access: 24 February 2022), 2000.
Okumah, M., Chapman, P. J., Martin-Ortega, J., and Novo, P.: Mitigating
agricultural diffuse pollution: Uncovering the evidence base of the
awareness-behaviour-water quality pathway, Water, 11, 29,
https://doi.org/10.3390/w11010029, 2018.
Pagano, A., Pluchinotta, I., Giordano, R., Petrangeli, A. B., Fratino, U., and Vurro, M.: Dealing with Uncertainty in Decision-Making for Drinking
Water Supply Systems Exposed to Extreme Events, Water Resour. Manag., 32,
2131–2145, https://doi.org/10.1007/s11269-018-1922-8, 2018.
Panidhapu, A., Li, Z., Aliashrafi, A., and Peleato, N. M.: Integration of
weather conditions for predicting microbial water quality using Bayesian
Belief Networks, Water Res., 170, 115349, https://doi.org/10.1016/j.watres.2019.115349, 2020.
Piffady, J., Carluer, N., Gouy, V., le Henaff, G., Tormos, T., Bougon, N.,
Adoir, E., and Mellac, K.: ARPEGES: A Bayesian Belief Network to Assess the
Risk of Pesticide Contamination for the River Network of France, Integr. Environ. Assess., 17, 188–201, https://doi.org/10.1002/ieam.4343, 2020.
Pistocchi, A., Pilar, V., and Pennington, D.: Analysis of Landscape and
Climate Parameters for Continental Scale Assessment of the Fate of
Pollutants, European Commission, Directorate-General, Joint Research Centre, Institute for Environment and Sustainability, EUR 22624, 1–109, ISBN 927904809, 2006.
Quaglia, G., Joris, I., Broekx, S., Desmet, N., Koopmans, K., Vandaele, K., and Seuntjens, P.: A spatial approach to identify priority areas for
pesticide pollution mitigation, J. Environ. Manage., 246,
583–593, https://doi.org/10.1016/j.jenvman.2019.04.120, 2019.
R Core Team: R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, https://www.R-project.org/ (last access: 24 February 2022), 2019.
Reaney, S. M., Lane, S. N., Heathwaite, A. L., and Dugdale, L. J.: Risk-based
modelling of diffuse land use impacts from rural landscapes upon salmonid
fry abundance, Ecol. Model., 222, 1016–1029, https://doi.org/10.1016/j.ecolmodel.2010.08.022,
2011.
Reaney, S. M., Mackay, E. B., Haygarth, P. M., Fisher, M., Molineux, A.,
Potts, M., and Benskin, C. M. W. H.: Identifying critical source areas using
multiple methods for effective diffuse pollution mitigation, J. Environ.
Manage., 250, 109366, https://doi.org/10.1016/j.jenvman.2019.109366, 2019.
Reichenberger, S., Bach, M., Skitschak, A., and Frede, H. G.: Mitigation
strategies to reduce pesticide inputs into ground- and surface water and
their effectiveness; A review, Sci. Total Environ., 384, 1–35,
https://doi.org/10.1016/j.scitotenv.2007.04.046, 2007.
Robins, N. S. and Smedley, P. L.: Hydrogeological and hydrochemical survey
of Jersey, British Geological Survey Technical Report WD/91/15, British Geological Survey, Keyworth, Nottingham, 101 pp., https://www.gov.je/SiteCollectionDocuments/Environment%20and%20greener%20living/R%20Hydrogeological%20Report.pdf (last access: 24 February 2022), 1991.
Robins, N. S. and Smedley, P. L.: The Jersey groundwater study, British
Geological Survey Research Report RR/98/5, British Geological Survey, Keyworth, Nottingham, 48 pp., 1998.
Robins, N. S., Smedley, P. L., and MacDonald, D. M. J.: Hydrogeological map of Jersey, Scale 1:25000, British Geological Survey, Keyworth, Nottingham, 1991.
Saha, D. and Alam, F.: Groundwater vulnerability assessment using DRASTIC
and Pesticide DRASTIC models in intense agriculture area of the Gangetic
plains, India, Environ. Monit. Assess., 186, 8741–8763,
https://doi.org/10.1007/s10661-014-4041-x, 2014.
Sahlin, U., Helle, I., and Perepolkin, D.: “This Is What We Don't Know”:
Treating Epistemic Uncertainty in Bayesian Networks for Risk Assessment,
Integr. Environ. Assess., 17, 221–232, https://doi.org/10.1002/ieam.4367,
2021.
Schuwirth, N., Borgwardt, F., Domisch, S., Friedrichs, M., Kattwinkel, M.,
Kneis, D., Kuemmerlen, M., Langhans, S. D., Martínez-López, J., and
Vermeiren, P.: How to make ecological models useful for environmental
management, Ecol. Model., 411, 108784,
https://doi.org/10.1016/j.ecolmodel.2019.108784, 2019.
Sharp, R., Douglass, J., Wolny, S., Arkema, K., Bernhardt, J., Bierbower, W., Chaumont, N., Denu, D., Fisher, D., Glowinski, K., Griffin, R., Guannel, G., Guerry, A., Johnson, J., Hamel, P., Kennedy, C., Kim, C. K., Lacayo, M., Lonsdorf, E., Mandle, L., Rogers, L., Silver, J., Toft, J., Verutes, G., Vogl, A. L., Wood, S, and Wyatt, K.: InVEST 3.10.2.post17+ug.g0e9e2ef User's Guide, The Natural Capital Project, Stanford University, University of Minnesota, The Nature Conservancy, and World Wildlife Fund, 2020.
Stenemo, F., Ray, C., Yost, R., and Matsuda, S.: A screening tool for
vulnerability assessment of pesticide leaching to groundwater for the
islands of Hawaii, USA, Pest Manag. Sci., 63, 404–411, https://doi.org/10.1002/ps.1345, 2007.
Tang, X., Zhu, B., and Katou, H.: A review of rapid transport of pesticides
from sloping farmland to surface waters: Processes and mitigation
strategies, J. Environ. Sci., 24, 351–361,
https://doi.org/10.1016/S1001-0742(11)60753-5, 2012.
Villamizar, M. L., Stoate, C., Biggs, J., Morris, C., Szczur, J., and Brown,
C. D.: Comparison of technical and systems-based approaches to managing
pesticide contamination in surface water catchments, J. Environ. Manage.,
260, 110027, https://doi.org/10.1016/j.jenvman.2019.110027, 2020.
Vinten, A. J. A., Loades, K., Addy, S., Richards, S., Stutter, M., Cook, Y.,
Watson, H., Taylor, C., Abel, C., Baggaley, N., Ritchie, R., and Jeffrey, W.:
Reprint of: Assessment of the use of sediment fences for control of erosion
and sediment phosphorus loss after potato harvesting on sloping land, Sci.
Total Environ., 468–469, 1234–1244, https://doi.org/10.1016/j.scitotenv.2013.10.050,
2014.
Wang, R., Yuan, Y., Yen, H., Grieneisen, M., Arnold, J., Wang, D., Wang, C., and Zhang, M.: A review of pesticide fate and transport simulation at
watershed level using SWAT: Current status and research concerns, Sci. Total
Environ., 669, 512–526, https://doi.org/10.1016/j.scitotenv.2019.03.141, 2019.
Wauchope, R. D., Yeh, S., Linders, J. B. H. J., Kloskowski, R., Tanaka, K.,
Rubin, B., Katayama, A., Kördel, W., Gerstl, Z., Lane, M., and Unsworth,
J. B.: Pesticide soil sorption parameters: Theory, measurement, uses,
limitations and reliability, Pest Manag. Sci., 58, 419–445, https://doi.org/10.1002/ps.489,
2002.
Worrall, F. and Kolpin, D. W.: Direct assessment of groundwater
vulnerability from single observations of multiple contaminants, Water
Resour. Res., 39, 1345–1352, https://doi.org/10.1029/2002WR001212, 2003.
Wösten, J. H. M., Lilly, A., Nemes, A., and Le Bas, C.: Using existing soil data
to derive hydraulic parameters for simulation models in environmental
studies and in land use planning. Final report of the EU funded project
“Using existing soil data” (CHRX-CT94-0639), 106 pp., DLO Winand Staring Centre for Integrated Land, Soil and Water Research (SC-DLO), Wageningen, The Netherlands, Report 156, ISSN 0927-4537, 1998.
Wosten, J. H. M., Lilly, A., Nemes, A., and Le Bas, C.: Development and use of a
database of hydraulic properties of European soils, Geoderma, 90, 169–185,
1999.
Short summary
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.
Pesticides continue to pose a threat to surface water quality worldwide. Here, we present a...
