Article
Engineering, Environmental
Anwar Zahid, Sara Nowreen, M. Kamrul Islam, M. Rashidul Hassan, M. Jakir Hossain, Salah Uddin Abbassi
Summary: This study evaluates the potential of multilevel slug tests to determine the depth distribution and vertical variations of hydraulic conductivity in the layered aquifer systems of the Bengal Basin. Results show the influence of different physiographic divisions and lithology on hydraulic conductivity values. Despite uncertainties and measurement technique issues, multilevel slug tests provide valuable information on vertical variations in hydraulic conductivity.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Environmental Sciences
Florimond De Smedt
Summary: Hydraulic conductivity is an important parameter in groundwater research and management. The slug test, a simple technique for measuring hydraulic conductivity, involves measuring water level changes in a well after injecting or removing a small amount of water. This study presents numerical derivations of shape factors for slug tests conducted in monitoring wells, and introduces a new analytical solution for predicting shape factors for well screens with a large aspect ratio. Comparisons with previous methods show that the proposed solution is accurate and easy to apply.
Article
Environmental Sciences
Sebastian Reuschen, Fabian Jobst, Wolfgang Nowak
Summary: This paper proposes a sequential pCN-MCMC algorithm that combines pCN-MCMC and sequential Gibbs sampling to reduce computational costs with a speedup factor of 1-5.5 over pCN and 1-6.5 over Gibbs. By automatically adjusting parameter combinations, the algorithm achieves faster computation.
WATER RESOURCES RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Aaron Peche, Georg J. Houben
Summary: This study provides a novel procedure to derive representative grain diameters and effective porosity from values of hydraulic conductivity. The procedure was applied on a large data set and practical examples were given to demonstrate its applicability.
Article
Plant Sciences
Jiakun Yan, Ningning Zhang, Furen Kang, Jianwu Wang, Xiaolin Wang
Summary: The study showed that cultivar replacement can increase grain yield under normal water conditions but not under water stress conditions for foxtail millet. However, water use efficiency (WUE) improved significantly over the past decade under both water conditions. Correlation analysis indicated that grain yield was affected by various factors, including biomass, root dry weight, and whole-plant hydraulic conductivity. The newly bred cultivar had higher photosynthesis, root exudation, and whole-plant hydraulic conductivity, and smaller root dry weight at harvest, leading to higher grain yield and WUE. Future breeding for high-yielding and WUE millet cultivars should focus on photosynthesis, whole-plant hydraulic conductivity, and root development.
PLANT PHYSIOLOGY AND BIOCHEMISTRY
(2021)
Article
Computer Science, Interdisciplinary Applications
Wenbo Zheng, Xinli Hu, Dwayne D. Tannant, Bo Zhou
Summary: This paper quantified the influence of grain morphology on sand hydraulic conductivity through pore-scale analysis. It found that grain morphology affects the specific surface, porosity, and flow tortuosity, which in turn influence the hydraulic conductivity of sand. Additionally, the study showed that the Kozeny-Carman equation predicts sand hydraulic conductivity well, but the Ckc parameter is not constant and correlates strongly to hydraulic tortuosity.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Engineering, Multidisciplinary
Filippo Ottani, Nicolo Morselli, Aurora De Luca, Marco Puglia, Simone Pedrazzi, Giulio Allesina
Summary: Electrical conductivity is an important property of biochar that affects its interaction with microorganisms in soil, but its measurement is not consistent. This study investigates the parameters that affect conductivity measurement and the limitations of the commonly used compression method. Testing different biochar samples prepared in various ways, the study finds significant variations in conductivity, highlighting the importance of testing conditions. The findings imply the need for further research to understand the true conductivity perceived by microorganisms in soil applications.
Article
Engineering, Geological
Shubjot Singh, Zygi Zurakowski, Sheng Dai, Yida Zhang
Summary: This study investigates the changes in hydraulic conductivity of tailings sands under high-stress compression through experiments and theoretical models. The results show that an increase in stress from 5 to 40 MPa can cause an increase in fines content from 11% to 17%, respectively, and a reduction in hydraulic conductivity by up to one order of magnitude for the tested materials. The combination of breakage mechanics theory and hydraulic conductivity models offers reliable predictions for the evolution of the hydromechanical behavior of tailings sands under high stresses.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2021)
Article
Environmental Sciences
Jingyi Feng, Qi Yu, Anfei He, G. Daniel Sheng
Summary: This study examined the hydraulic conductivity of Na-montmorillonite in dual-cation solutions and focused on the effect of Mn+ on grain-size distribution and hydraulic conductivity. The research found that all tested cations showed high affinity towards montmorillonite, leading to variations in hydraulic conductivity with cation exchange. The study also revealed that the rearrangement and reaggregation of grains during cation exchange influenced the hydraulic conductivity of montmorillonite.
BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY
(2022)
Article
Engineering, Geological
Shubham A. Kalore, Sivakumar G. L. Babu, Ratnakar R. Mahajan
Summary: A granular filter must meet retention and hydraulic conductivity requirements. The design approach is based on representative grain sizes for these requirements, with an emphasis on considering grain-size distribution. Criteria are presented for assessing retention and hydraulic conductivity based on grain-size distribution. Probabilistic assessment criteria are developed for retention requirements, with grain size and constriction size as random variables, and for hydraulic conductivity requirements, considering variability and a semi-analytical model. The proposed approach is illustrated with examples, showing that the filter bandwidth is controlled by the convexity of the soil grain-size distribution.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2021)
Article
Environmental Sciences
B. Negreiros, A. Aybar Galdos, L. Seitz, M. Noack, S. Schwindt, S. Wieprecht, S. Haun
Summary: This study introduces a Multi-Parameter Approach to quantify clogging and vertical hyporheic connectivity, which builds on standardized measurements of physical and bio-geochemical parameters. It provides a representative appreciation of physical riverbed clogging and locates clogged layers in the hyporheic zone. The method has the potential to guide field surveys.
RIVER RESEARCH AND APPLICATIONS
(2023)
Article
Engineering, Geological
Suaiba Mufti, Arghya Das
Summary: This paper presents a pore-scale model for predicting unsaturated hydraulic conductivity along drying and wetting paths in unsaturated soils. The model combines the discrete element method for soil packing and pore network modeling to simulate fluid flow, incorporating pore-scale phenomena. The predicted hydraulic conductivity compares favorably to experimental data and outperforms other physically-based models.
Article
Engineering, Civil
Arthur Klebson Belarmino dos Santos, Majken Caroline Looms, Quirijn de Jong van Lier
Summary: Soil hydraulic properties (SHPs) are commonly determined in soil samples, and the merging process of these parameters should consider standard errors and correlation matrix. This study presents a method to merge these parameters and evaluates its effectiveness and representativeness using stochastic realizations.
JOURNAL OF HYDROLOGIC ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Wataru Fukui, Yoshihiro Ujihara, Masanori Nakamura, Shukei Sugita
Summary: In this study, a novel method was proposed to directly measure interstitial flow velocity by measuring the spatiotemporal changes in the concentration of a fluorescent dye. The experiments conducted in mouse aortas confirmed that the interstitial flow velocity in the aortic walls is higher under higher intraluminal pressure. A comparison of the flow velocity in the radial direction showed faster flow on the more intimal side, which is often associated with hypertension.
SCIENTIFIC REPORTS
(2022)
Article
Environmental Sciences
Tuong Vi Tran, Johannes Buckel, Philipp Maurischat, Handuo Tang, Zhengliang Yu, Andreas Hoerdt, Georg Guggenberger, Fan Zhang, Antje Schwalb, Thomas Graf
Summary: This study investigates the unexplored aquifer in the Nam Co catchment on the Tibetan Plateau using various hydrogeophysical and lithological methods. The results highlight the hydrogeological conditions of the area and provide valuable information for future groundwater flow modeling.
Article
Geosciences, Multidisciplinary
Sebastian Mueller, Carsten Leven, Peter Dietrich, Sabine Attinger, Alraune Zech
Summary: This study introduces a workflow to estimate geostatistical aquifer parameters using the Python package welltestpy. The analysis is based on semi-analytical drawdown solution and type-curve analysis, which enables the inference of log-transmissivity variance and horizontal correlation length. Sensitivity study shows the impact of observation well positions on parameter estimation quality.
Article
Meteorology & Atmospheric Sciences
Ute Weber, Sabine Attinger, Burkard Baschek, Julia Boike, Dietrich Borchardt, Holger Brix, Nicolas Brueggemann, Ingeborg Bussmann, Peter Dietrich, Philipp Fischer, Jens Greinert, Irena Hajnsek, Norbert Kamjunke, Dorit Kerschke, Astrid Kiendler-Scharr, Arne Koertzinger, Christoph Kottmeier, Bruno Merz, Ralf Merz, Martin Riese, Michael Schloter, HaPe Schmid, Joerg-Peter Schnitzler, Torsten Sachs, Claudia Schuetze, Ralf Tillmann, Harry Vereecken, Andreas Wieser, Georg Teutsch
Summary: MOSES is an observation system designed to study the long-term impacts of dynamic events on environmental systems. It aims to capture these events, from their formation to their end, with high spatial and temporal resolution. It is a mobile and modular system to record energy, water, greenhouse gas, and nutrient cycles, especially the interactions between different compartments of the Earth.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
Geography, Physical
Anne Koehler, Anneli Wanger-O'Neill, Johannes Rabiger-Voellmer, Franz Herzig, Birgit Schneider, Steven Nebel, Ulrike Werban, Marco Pohle, Manuel Kreck, Peter Dietrich, Lukas Werther, Detlef Gronenborn, Stefanie Berg, Christoph Zielhofer
Summary: This study reconstructs the Holocene deposition history of Loosbach valley in Central Europe and explores the potential tipping point of hydrology during the Late Neolithic occupation. It reveals the interrelation between the hydrological changes and the onset of settlement in the valley floor.
QUATERNARY SCIENCE REVIEWS
(2022)
Article
Environmental Sciences
Uta Koedel, Claudia Schuetze, Philipp Fischer, Ingeborg Bussmann, Philip K. Sauer, Erik Nixdorf, Thomas Kalbacher, Viktoria Wichert, Diana Rechid, Laurens M. Bouwer, Peter Dietrich
Summary: Recent discussions highlight the importance of FAIR data, but trustworthiness is often overlooked. This paper aims to start a discussion on how to evaluate, describe, and implement trustworthiness in a standardized data evaluation approach following the FAIR principles.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Timo Houben, Estanislao Pujades, Thomas Kalbacher, Peter Dietrich, Sabine Attinger
Summary: This work proposes a method to derive regional hydraulic parameters of groundwater models through spectral analysis, even in the absence of observational data. The results indicate that the variance of inferred parameters is small for observation points which are far away from the boundary.
WATER RESOURCES RESEARCH
(2022)
Review
Environmental Sciences
Angela Lausch, Michael E. Schaepman, Andrew K. Skidmore, Eusebiu Catana, Lutz Bannehr, Olaf Bastian, Erik Borg, Jan Bumberger, Peter Dietrich, Cornelia Glaesser, Jorg M. Hacker, Rene Hoefer, Thomas Jagdhuber, Sven Jany, Andras Jung, Arnon Karnieli, Reinhard Klenke, Toralf Kirsten, Uta Koedel, Wolfgang Kresse, Ulf Mallast, Carsten Montzka, Markus Moeller, Hannes Mollenhauer, Marion Pause, Minhaz Rahman, Franziska Schrodt, Christiane Schmullius, Claudia Schuetze, Peter Selsam, Ralf-Uwe Syrbe, Sina Truckenbrodt, Michael Vohland, Martin Volk, Thilo Wellmann, Steffen Zacharias, Roland Baatz
Summary: This paper provides a comprehensive overview of using remote sensing techniques for monitoring geomorphology and introduces a new perspective for defining and recording the characteristics of geomorphodiversity using remote sensing data. The five characteristics discussed in this paper are geomorphic genesis diversity, geomorphic trait diversity, geomorphic structural diversity, geomorphic taxonomic diversity, and geomorphic functional diversity. The paper also discusses the challenges and limitations of monitoring geomorphodiversity using remote sensing and presents new approaches and methods for monitoring geomorphodiversity. The importance of the digitization process and data science in geomorphology research is emphasized.
Article
Geosciences, Multidisciplinary
Alraune Zech, Sabine Attinger, Alberto Bellin, Vladimir Cvetkovic, Gedeon Dagan, Peter Dietrich, Aldo Fiori, Georg Teutsch
Summary: The goal of this study is to recommend dispersivity values for modeling contaminant transport in groundwater based on a comprehensive analysis of field experiments. The study finds that macrodispersivity coefficients are related to the spatial variability of hydraulic conductivity in groundwater. In the absence of experimental data, practitioners often use ad hoc values for macrodispersivities.
Article
Geosciences, Multidisciplinary
Michael Kunz, Syed S. Abbas, Matteo Bauckholt, Alexander Boehmlaender, Thomas Feuerle, Philipp Gasch, Clarissa Glaser, Jochen Gross, Irena Hajnsek, Jan Handwerker, Frank Hase, Dina Khordakova, Peter Knippertz, Martin Kohler, Diego Lange, Melissa Latt, Johannes Laube, Lioba Martin, Matthias Mauder, Ottmar Moehler, Susanna Mohr, Rene W. Reitter, Andreas Rettenmeier, Christian Rolf, Harald Saathoff, Martin Schroen, Claudia Schuetze, Stephanie Spahr, Florian Spaeth, Franziska Vogel, Ingo Voelksch, Ute Weber, Andreas Wieser, Jannik Wilhelm, Hengheng Zhang, Peter Dietrich
Summary: The Neckar Valley and the Swabian Jura in southwest Germany are hotspots for severe convective storms. A field campaign called Swabian MOSES was conducted to investigate the reasons for the high frequency of thunderstorms and associated event chains. Researchers from various disciplines used a wide range of observation systems, including advanced radar and lidar technologies, to collect data. The study period saw a high number of convective events, and highlights from two intense observation periods are presented in this paper.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Environmental Sciences
Sharif Ibne Ibrahim, Prabhas Kumar Yadav, Amalia Dwiandani, Rudolf Liedl, Peter Dietrich
Summary: This study looks at the characterization of source zones from DNAPL contamination in water-saturated aquifers, highlighting the need for improved techniques to capture the complexity of non-uniform shapes. The proposed approach focuses on parameterizing source shape based on width variations and midpoints, demonstrating its applicability through lab experiment results.
JOURNAL OF CONTAMINANT HYDROLOGY
(2022)
Article
Environmental Sciences
Segolene Dega, Peter Dietrich, Martin Schroen, Hendrik Paasche
Summary: This paper examines the impact of training response variable uncertainty on prediction uncertainties by comparing it with probabilistic prediction obtained using quantile regression random forest. The results provide an uncertainty quantification of the impact on the prediction. The approach is illustrated using the example of probabilistic regionalization of soil moisture derived from cosmic-ray neutron sensing measurements, which produces a regional-scale soil moisture map with data uncertainty quantification for the Selke river catchment in eastern Germany.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Sciences
Daniel Altdorff, Sascha. E. E. Oswald, Steffen Zacharias, Carmen Zengerle, Peter Dietrich, Hannes Mollenhauer, Sabine Attinger, Martin Schroen
Summary: A novel rail-borne CRNS system was introduced for continuous monitoring of soil water content along a railway track. The system showed consistent spatial SWC patterns and temporal variations, which can support large scale hydrological modeling and detection of environmental risks.
WATER RESOURCES RESEARCH
(2023)
Editorial Material
Environmental Sciences
Mona Morsy, Erik Borg, Peter Dietrich
Article
Environmental Sciences
Andreas Wieser, Andreas Guentner, Peter Dietrich, Jan Handwerker, Dina Khordakova, Uta Koedel, Martin Kohler, Hannes Mollenhauer, Bernhard Muehr, Erik Nixdorf, Marvin Reich, Christian Rolf, Martin Schroen, Claudia Schuetze, Ute Weber
Summary: Heavy Precipitation Events (HPE) occur when massive amounts of water vapor are transported to a limited area, leading to floods that can cause damage. By combining mobile and stationary observing systems, we can capture the various processes involved in HPE formation and flooding, such as atmospheric transport, precipitation patterns, and runoff dynamics.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Environmental Sciences
Hannes Mollenhauer, Erik Borg, Bringfried Pflug, Bernd Fichtelmann, Thorsten Dahms, Sebastian Lorenz, Olaf Mollenhauer, Angela Lausch, Jan Bumberger, Peter Dietrich
Summary: This paper introduces a mobile wireless ad hoc sensor network (MWSN) concept that automatically records sufficient close-range data to bridge the gap between standardized and available close-range and satellite remote sensing (RS) data. By cross-calibrating the two systems, comparable spectral characteristics of the data sets could be achieved. Additionally, an analysis of the data reveals the influence of spatial and temporal heterogeneity on the data.
Article
Biodiversity Conservation
Thomas Hornick, Anett Richter, William Stanley Harpole, Maximilian Bastl, Stephanie Bohlmann, Aletta Bonn, Jan Bumberger, Peter Dietrich, Birgit Gemeinholzer, Ruediger Grote, Bernd Heinold, Alexander Keller, Marie L. Luttkus, Patrick Maeder, Elena Motivans Svara, Sarah Passonneau, Surangi W. Punyasena, Demetra Rakosy, Ronny Richter, Wiebke Sickel, Ingolf Steffan-Dewenter, Panagiotis Theodorou, Regina Treudler, Barbora Werchan, Matthias Werchan, Ralf Wolke, Susanne Dunker
Summary: Pollen is a vital component of plant reproduction and plays a significant role in the environment, human health, and climate. Interdisciplinary research is needed to better integrate and advance the currently disparate fields of pollen research in order to address pressing human issues and promote social and political awareness of the importance of these tiny particles.
PLANTS PEOPLE PLANET
(2022)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)