Article
Computer Science, Interdisciplinary Applications
Qianwen He, Frank Molkenthin
Summary: This study proposes a three-group objective calibration approach for catchments with limited observations, and applies it to the Yuan River Catchment. Results show that multi-objective calibration improves model performance and reduces parameter and prediction uncertainty.
JOURNAL OF HYDROINFORMATICS
(2021)
Article
Geosciences, Multidisciplinary
Yanchen Zheng, Jianzhu Li, Ting Zhang, Youtong Rong, Ping Feng
Summary: Adopting new technologies for hydrological model calibration to produce accurate simulations for water resources or flood risk management is an important research topic. Incorporating hydrological signatures and concepts in model calibration has become prevalent. This research uses flood scaling property to constrain the multi-objective model calibration, taking into account the statistical relationship between flood peak, contributing areas, and catchment attributes. Recommended approach is the multi-objective calibration method, which improves model performance in terms of flow duration curve and reduces long-term runoff ratio bias.
Article
Water Resources
Ali A. Besalatpour, Mohsen Pourreza-Bilondi, Amirhosein Aghakhani Afshar
Summary: The calibration process for hydrological models is crucial and this study used parallel processing to speed up calculations and reduce running time, resulting in significantly reduced computational time for parameter calibration. A 4-objective function strategy provided an efficient tool to decide the best simulation based on the investigated objective functions, with potential application in hydrological and water quality models worldwide.
APPLIED WATER SCIENCE
(2023)
Article
Environmental Sciences
Agbortoko Bate Ashu, Sang-Il Lee
Summary: Understanding hydrological processes using hydrological model parameters is crucial for effective water resources management. This study employed the Soil and Water Assessment Tool (SWAT) model to analyze the water balance in the Yeongsan River Basin, South Korea, which is dominated by summer monsoon rains. A new multi-site calibration approach-based SWAT hydrological model was developed and successfully reproduced the hydrological trend and average discharges of the basin for 42 years. The study also revealed the importance of monsoon rains in sustaining the water supply in the basin.
Article
Engineering, Civil
Sonam Sandeep Dash, Bhabagrahi Sahoo, Narendra Singh Raghuwanshi
Summary: This study proposed an integrated framework based on SWAT, HEC-ResSim, and genetic algorithm for formulating optimal reservoir operation rule in the Kangsabati reservoir. The framework showed improved reservoir performance compared to existing rules, providing guidance for accurate reservoir operation in global reservoir catchment-command regions.
JOURNAL OF HYDROLOGY
(2022)
Article
Water Resources
Amimul Ahsan, Sushil K. Das, Md. Habibur Rahman Bejoy Khan, Anne W. M. Ng, Nadhir Al-Ansari, Shakil Ahmed, Monzur Imteaz, Muhammad A. U. R. Tariq, Md. Shafiquzzaman
Summary: Pollution of a watershed by different land uses and agricultural practices is a major challenge that affects water quality, human health, and ecosystems. Sustainable use of water resources requires reducing Non-Point Source (NPS) pollutants through best management practices (BMPs). The use of a hydrologic model like SWAT helps analyze the impact of various BMPs and determine the best combination for water quality improvement.
APPLIED WATER SCIENCE
(2023)
Article
Environmental Sciences
Lei Wu, Xia Liu, Junlai Chen, Xiaoyi Ma
Summary: This study introduces the non-dominated sorting genetic algorithm II (NSGA-II) to investigate the multi-objective synchronous calibration strategy, which utilizes multiple sources of information and exploits the data in better ways for obtaining high-cost performance results. The NSGA-II calibration can meet the accuracy requirements of runoff simulation and can better constrain the parameter process, making the calibrated model more in line with the physical conditions of the watershed, showing strong applicability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Lei Wu, Xia Liu, Junlai Chen, Xiaoyi Ma
Summary: The NSGA-II algorithm has good adaptability in studying calibration performance, and can meet the requirements of different objectives and better constrain the parameter process, making the calibrated model more in line with the physical conditions of the watershed.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Francis Kilundu Musyoka, Peter Strauss, Guangju Zhao, Raghavan Srinivasan, Andreas Klik
Summary: This study presents a comprehensive modeling approach for a small agricultural watershed using the SWAT model, with a focus on stepwise calibration to improve accuracy. The results demonstrate that the stepwise calibration approach outperforms the traditional simultaneous calibration approach in streamflow prediction accuracy.
Article
Environmental Sciences
Tibebe B. Tigabu, Paul D. Wagner, Balaji Narasimhan, Nicola Fohrer
Summary: Process-based hydrologic models provide necessary information for water resources management, but their reliability depends on appropriate input data and model calibration. This study demonstrates that assuming hydrological process stationarity in calibration can result in poor model performance in areas with strong seasonal climate. A more robust calibration procedure for the Soil and Water Assessment Tool (SWAT) is developed and applied in the Adyar catchment of Chennai, India. The study highlights the importance of observed streamflow data availability and their application in calibration for model parameterization and performance.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Environmental Sciences
Elhadi Mohsen Hassan Abdalla, Knut Alfredsen, Tone Merete Muthanna
Summary: This study compared the performance of single-site calibration and multi-site calibration methods on different green roofs. The results showed that single-site calibration may perform well at one location but poorly at others, while multi-site calibration can obtain a common parameter set applicable to different locations.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Water Resources
Jie Ding, Qian Zhu
Summary: This study evaluates the accuracy of multisource evapotranspiration (ET) products in the Xiang River Basin and investigates their applicability in streamflow simulation. The results show that GLEAM has the lowest relative uncertainty and performs the best in comparison with benchmark ET products. Multisource ET products can be used as alternative variables for streamflow simulation in this basin.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Water Resources
Abolanle E. Odusanya, Karsten Schulz, Eliezer I. Biao, Berenger A. S. Degan, Bano Mehdi-Schulz
Summary: This study focused on investigating the use of the SWAT model in simulating streamflow in the Oueme River Basin in the Republic of Benin using GLEAM AET data for calibration. The results showed that the simulation of streamflow with AETproc did not perform as well as with Q-proc, indicating the need for further research to improve the AETproc for better streamflow simulation, potentially by including soil moisture products.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Water Resources
Lei Wu, Xia Liu, Zhi Yang, Yang Yu, Xiaoyi Ma
Summary: This study investigated parameter calibration in large-scale watersheds. The results showed that single-site one-by-one calibration performed better than multi-site joint calibration in predicting monthly runoff. Different-sized catchments had different sensitive parameters, and multi-site joint calibration improved the identification of local sensitive parameters.
HYDROLOGICAL PROCESSES
(2022)
Article
Environmental Sciences
Desalew Meseret Moges, Holger Virro, Alexander Kmoch, Raj Cibin, A. N. Rohith, Alberto Martinez-Salvador, Carmelo Conesa-Garcia, Evelyn Uuemaa
Summary: The choice of digital elevation models (DEMs) has a significant impact on the accuracy of stream and catchment delineation in watershed modeling, while its influence on streamflow simulation is relatively minor. Among the evaluated DEMs, AW3D30 and COP30 performed the best, closely followed by MERIT, whereas TanDEM-X and HydroSHEDS exhibited poorer performance. Forest cover and the characteristics of the catchment also affect the accuracy of DEMs.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Ecology
Maria Theresia Konrad, Line Block Hansen, Gregor Levin, Gitte Blicher-Mathiesen, Hans Estrup Andersen, Louise Martinsen, Berit Hasler
Summary: Eutrophication in coastal areas of Denmark is a major challenge in meeting the requirements of the European Water Framework Directive. Excessive nitrogen loads from agricultural production are the main cause, and implementing abatement measures is crucial. Spatial heterogeneity of costs and effects significantly impacts the cost-effectiveness of land use policies, and it is important to reconsider abatement measures in sectors beyond agriculture due to increased marginal costs.
ECOLOGICAL ECONOMICS
(2022)
Article
Environmental Sciences
Ida Karlsson Seidenfaden, Torben Obel Sonnenborg, Christen Duus Borgesen, Dennis Trolle, Jorgen Eivind Olesen, Jens Christian Refsgaard
Summary: Nitrate pollution and eutrophication are becoming increasingly concerning in agriculturally dominated regions. With projected climate changes in the future, these issues are expected to worsen. Changes in land use and management have the potential to mitigate these concerns, but the extent of their interaction and associated uncertainty is unknown.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Tobias Kuhlmann Andersen, Anders Nielsen, Erik Jeppesen, Karsten Bolding, Liselotte S. Johansson, Martin Sondergaard, Dennis Trolle
Summary: This study investigates the performance of the lake model GOTM-WET in reproducing the dynamics and shifts between turbid and clear water states in Lake Arreskov. The results show that the model is capable of simulating cyanobacteria blooms and zooplankton dynamics, but has limitations in reproducing the timing of shifts between phytoplankton and submerged macrophytes dominance following fish removal.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Marine & Freshwater Biology
Martin Sondergaard, Anders Nielsen, Christian Skov, Henrik Baktoft, Kasper Reitzel, Theis Kragh, Thomas Alexander Davidson
Summary: Temporary summer stratification is a common but easily overlooked phenomenon in shallow lakes. In this study, we used high frequency measurements and monitoring to investigate the dynamics of temporary stratification in Lake Ormstrup, Denmark. The results showed that temporary stratification occurred multiple times each summer, but its duration varied between years.
Article
Marine & Freshwater Biology
Tatiana Lobato-de Magalhaes, Kevin Murphy, Andrey Efremov, Thomas A. Davidson, Eugenio Molina-Navarro, Kevin A. Wood, Julissa Tapia-Grimaldo, Deborah Hofstra, Hui Fu, Ileana Ortegon-Aznar
Summary: This study examined the distributional drivers of 3,499 macrophyte species on a global scale. It found that most species are endemic to a single ecozone and lack adaptations for long-distance dispersal. Natural factors such as climate and migratory birds influence native species, while introduced species are influenced by climate and longitude. Ancient vicariance events and recent climate change also affect a few species.
Article
Environmental Sciences
Adrian Lopez-Ballesteros, Dennis Trolle, Raghavan Srinivasan, Javier Senent-Aparicio
Summary: Coastal lagoons, such as the Mar Menor in Spain, are highly vulnerable to pollution from human activities. This study used the SWAT model to analyze potential solutions for the environmental degradation of the Mar Menor lagoon. The combination of best management practices, including vegetative filter strips and contour farming, showed the most effective results in reducing nutrient and sediment loads.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Agronomy
Camilla Geels, Steen Gyldenkaerne, Tavs Nyord, Hans Estrup Andersen, Eugenio Molina-Navarro, Dennis Trolle, Hans Thodsen, Jesper L. Bak, Maria Theresia Konrad, Berit Hasler, Kaj M. Hansen, Jesper H. Christensen, Karen Timmermann
Summary: Manure acidification is introduced to reduce NH3 emissions and protect environments, but if fertilizer application rate is not adjusted, it may lead to nitrogen leaching and harm to ecosystems.
Article
Geosciences, Multidisciplinary
M. V. Carstensen, E. Molina-Navarro, F. Hashemi, B. Kronvang, K. Bieger
Summary: A societal transformation towards bio-economy in Nordic countries will have extensive implications for land use. The study used the Nordic Bio-economic Pathways (NBPs) and the SWAT model to simulate the effect of different scenarios on land use and water quality. The results showed that only the sustainability-first pathway could achieve the reduction target for total nitrogen loads in the River Odense catchment, while other pathways had varying impacts on nitrogen loads.
Article
Environmental Sciences
Benoit Dessirier, Gitte Blicher-Mathiesen, Hans Estrup Andersen, Bo Gustafsson, Baerbel Muller-Karulis, Kimberly Van Meter, Nandita B. Basu, Christoph Humborg
Summary: Intensive agriculture is associated with increased nitrogen loads and negative effects on aquatic ecosystems. This study used detailed land use and agricultural statistics to examine nitrogen surpluses in three agriculture-dominated watersheds in Denmark. The findings suggest that reducing agricultural surpluses can have a significant positive impact on water quality.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Multidisciplinary Sciences
Francis Matthews, Gert Verstraeten, Pasquale Borrelli, Matthias Vanmaercke, Jean Poesen, An Steegen, Aurore Degre, Belen Carceles Rodriguez, Charles Bielders, Christine Franke, Claire Alary, David Zumr, Edouard Patault, Estela Nadal-Romero, Ewa Smolska, Feliciana Licciardello, Gilles Swerts, Hans Thodsen, Javier Casali, Javier Eslava, Jean-Baptiste Richet, Jean-Francois Ouvry, Joaquim Farguell, Jolanta Swiechowicz, Joao Pedro Nunes, Lai Ting Pak, Leonidas Liakos, Miguel A. Campo-Bescos, Miroslaw Zelazny, Morgan Delaporte, Nathalie Pineux, Nathan Henin, Nejc Bezak, Noemi Lana-Renault, Ourania Tzoraki, Rafael Gimenez, Tailin Li, Victor Hugo Duran Zuazo, Vincenzo Bagarello, Vincenzo Pampalone, Vito Ferro, Xavier Ubeda, Panos Panagos
Summary: As a network of researchers, we have released an open-access database called EUSEDcollab, which contains time series records of water discharge and suspended sediment yield collected from small to medium sized catchments in Europe. EUSEDcollab was compiled to address the lack of open-access data at relevant scales for research on runoff, soil erosion, and sediment delivery. The database includes data from multiple sources that have been harmonized into a common time series and metadata structure. It covers over 1600 catchment years of data from 245 catchments across ten European countries, with temporal resolutions of event, daily, and monthly. The database focuses on small to medium sized catchment drainage areas and is applicable for soil erosion research. We have released this database with the aim of fostering collaboration and knowledge exchange through the European Union Soil Observatory (EUSO).
Article
Water Resources
Jose Martinez-Fernandez, Eugenio Molina-Navarro, Angel Gonzalez-Zamora, Alejandro Sanchez-Gomez, Laura Almendra-Martin
Summary: This study assessed the SWAT soil moisture in the Henares River Basin under Mediterranean conditions for the first time. Modeling and remote sensing products were used as references, and the evaluation results showed satisfactory performances. The findings indicate that producing reliable SWAT soil moisture databases can increase the availability of suitable soil moisture series worldwide.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Energy & Fuels
Alejandro Sanchez-Gomez, Silvia Martinez-Perez, Sylvain Leduc, Antonio Sastre-Merlin, Eugenio Molina-Navarro
Summary: Sustainable water management needs to consider the impact of climate change on water resources. This study used hydrological modeling to assess the climate change effects on three basins in Mediterranean climate regions and discussed the potential implications for energy production. The results show that streamflow reduction is expected by the end of the century, with significant decreases in groundwater contribution, posing challenges for water resource management and energy planning.
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
