Article
Geosciences, Multidisciplinary
Yongkai An, Xueman Yan, Wenxi Lu, Hui Qian, Zaiyong Zhang
Summary: The study developed an innovative framework that combined an improved MCMC approach with surrogate models to speed up convergence of posterior distribution and enhance identification accuracy of groundwater pollution source parameters. The KRG surrogate model showed higher accuracy compared to other surrogate models due to its linear unbiased estimation characteristic.
HYDROGEOLOGY JOURNAL
(2022)
Review
Environmental Sciences
Adam Taylor, Denis Peach
Summary: A key issue in the legal case between Bolivia and Chile before the International Court of Justice was the impact of artificial channels in the headwater wetlands of Silala River on surface water and groundwater flow rates into Chile. A numerical groundwater model was constructed to quantify this impact, based on a 3D geological model, and the results showed that the measures proposed by Bolivia would result in a small reduction in surface water flow to Chile.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2023)
Article
Geosciences, Multidisciplinary
Dany Lauzon, Denis Marcotte
Summary: A constructive spectral method is proposed to jointly calibrate hydrofacies and hydraulic conductivity to transient pressure heads. The method leverages pluriGaussian simulation to model the spatial correlation and uses an approach based on calibrating Gaussian fields subject to inequality constraints for faster borehole conditioning. Shallow optimization of the continuous spectral method is employed for calibration to transient pressure heads, and a parameterization technique reduces the optimization from multivariate to univariate. The method shows promising results in calibrating complex aquifers and improving hydrofacies identification, contributing to the characterization of sub-surface heterogeneity and assessment of uncertainty and geological risks in groundwater flow.
HYDROGEOLOGY JOURNAL
(2023)
Article
Engineering, Civil
Behshid Khodaei, Hossein Hashemi, Seyed Amir Naghibi
Summary: Land subsidence is a growing human-induced disaster that causes damage to structures and reduces aquifer water storage capacity. The lack of continuity in interferometric synthetic aperture radar (InSAR) data due to vegetation decorrelation, coverage alterations, and rough topography can be resolved using artificial intelligence. Boosted regression trees and extreme gradient boosting algorithms were successfully used to provide a full coverage map of groundwater-induced land subsidence in a plain area.
JOURNAL OF HYDROLOGY
(2022)
Article
Green & Sustainable Science & Technology
Vladimir Mirlas, Vitaly Kulagin, Aida Ismagulova, Yaakov Anker
Summary: Southeastern Kazakhstan is experiencing ongoing water-resource depletion, with the livestock sector being a major consumer of natural water resources. The study used hydrogeological scenarios to determine the water demand and extraction rates for the livestock sector, finding the need for an additional production well on one of the pastures.
Article
Thermodynamics
A. Dell'Oca, A. Manzoni, M. Siena, N. G. Bona, L. Moghadasi, M. Miarelli, D. Renna, A. Guadagnini
Summary: We have developed a comprehensive and efficient workflow for stochastic assessment of key parameters governing two-phase flow conditions associated with core-scale experiments. Our strategy involves original and detailed datasets collected on a Berea sandstone sample and a stochastic inverse modeling procedure. The results show remarkable agreement with experimental data and demonstrate the potential of the approach to estimate model parameters fully including uncertainty.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Geosciences, Multidisciplinary
Aidan C. Mowat, Daniel J. Francis, Jennifer C. McIntosh, Matthew B. J. Lindsay, Grant A. G. Ferguson
Summary: This study investigates the impact of Pleistocene glaciation on groundwater flow systems in the Williston Basin, Canada, revealing non-uniform migration of subglacial recharge events within and between stacked Paleozoic aquifers. The arrival times of subglacial recharge are found to be constrained to early to mid-Pleistocene and preserved in the basin.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Engineering, Civil
Richard A. Pauloo, Graham E. Fogg, Zhilin Guo, Thomas Harter
Summary: This study demonstrates that groundwater development, even without overdraft, can lead to groundwater salinization and the closure of hydrologic basins. Using the Tulare Lake Basin in California as a case study, it was found that even with modern water management practices to reduce historic overuse, deep aquifers can still be impacted by salinization within two to three centuries. This poses a serious challenge to groundwater quality sustainability, suggesting that agriculturally intensive groundwater basins worldwide may be susceptible to these issues.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Yaojin Xiong, Yao Du, Yamin Deng, Teng Ma, Dian Li, Xiaoliang Sun, Guangning Liu, Yanxin Wang
Summary: This study used multiple stable isotopes and spectral characteristics of DOM to investigate the sources and fate of nitrate and ammonium in groundwater in the Central Yangtze River Basin. Different hydrogeological conditions were found to control the behavior of nitrogen compounds in three subareas, leading to contrasting patterns of nitrogen sources and fate.
ENVIRONMENTAL POLLUTION
(2021)
Article
Multidisciplinary Sciences
Kehinde D. Oyeyemi, Ahzegbobor P. Aizebeokhai, Mohamed Metwaly, Oluseun Omobulejo, Oluseun A. Sanuade, Emmanuel E. Okon
Summary: Numerical modeling analysis was used to evaluate the suitability of different electrical resistivity arrays for characterizing geological structures. The results showed that different geological structures have different suitable electrode configurations. Numerical modeling can be used to assess the best resistivity arrays prior to geophysical field investigation.
Article
Physics, Fluids & Plasmas
D. C. Mayes, R. C. Mancini, T. E. Lockard, I. M. Hall, J. E. Bailey, G. P. Loisel, T. Nagayama, G. A. Rochau, D. A. Liedahl
Summary: Experimental and modeling results of laboratory photoionized neon plasmas are reported, showing the competition between photon-driven ionization and electron-driven recombination processes impacting the charge state distribution for different ionization parameters. The study provides insights into atomic kinetics models used in both laboratory and astrophysical applications, with good agreement in mean charge but significant quantitative differences in fractional populations of individual ions compared to experimental results.
Article
Geosciences, Multidisciplinary
Eiichi Ishii
Summary: Major groundwater inflows during excavation in faulted or fractured rock masses can be reduced naturally by 50-90% within days or weeks if the flow dimension is close to 1. However, the reduction is minimal when the flow dimension is close to 3. This study measured changes in inflow at the Horonobe site, Japan, and confirms that changes in inflow depend consistently on the flow dimension. Predicting natural reductions in inflow during excavation based on flow dimension can improve excavation efficiency.
HYDROGEOLOGY JOURNAL
(2023)
Article
Engineering, Civil
Yanqiu Wu, Xun Zhou, Mengmeng Wang, Linyang Zhuo, Hongfei Xu, Yu Liu
Summary: This study discusses the hydrogeological characteristics of the Xiaguan Hot Spring and the Butterfly Spring near Dali in Yunnan of China, including hydrochemical type, rare earth element concentrations, and hydrogen and oxygen isotope values. The geothermal reservoir temperature and hydrological circulation types of the two springs differ from each other.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
S. K. Marshall, P. G. Cook, C. T. Simmons, L. F. Konikow, S. Dogramaci
Summary: This study demonstrates that sharp hydrogeological barriers can be included in groundwater model inversion even when their presence is uncertain. The use of phantom structures improves the identification of barriers and successfully infers their location and properties.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Andres Sahuquillo, Eduardo Cassiraga, J. Jaime Gomez-Hernandez, Joaquin Andreu, Manuel Pulido-Velazquez, David Pulido-Velazquez, Oscar D. Alvarez-Villa, Teodoro Estrela
Summary: Aquifers are widely available and easy to access, but their overexploitation can lead to significant issues such as declining water levels, reduced river flows, seawater intrusion, and wetland degradation. The conjunctive use of surface and subsurface waters through strategies like artificial recharge and alternate conjunctive use can help mitigate these problems and provide economic and environmental benefits.
Article
Engineering, Civil
Jie Yang, Chengji Shen, Teng Xu, Yifan Xie, Chunhui Lu
Summary: The study found that longer exposure times of H-3 and C-14 can lead to serious contamination in coastal aquifers, with up to 18.9 km(2) of land being contaminated and reaching up to 3.3 km landward from the shore. H-3 shows a 'harder intrusion, easier recovery' pattern due to its higher decay rate. Full recovery may take up to 70 years and 217 years (considering 30-years-exposure) for H-3 and C-14, respectively.
JOURNAL OF HYDROLOGY
(2022)
Article
Geosciences, Multidisciplinary
J. Jaime Gomez-Hernandez, Teng Xu
Summary: Research on contaminant source identification has a long history, but there are still challenges in problem-solving and application. Researchers need to focus more on the practical application of source identification and consider other uncertain parameters in their studies.
MATHEMATICAL GEOSCIENCES
(2022)
Article
Engineering, Environmental
Alessandro Pansa, Ilaria Butera, J. Jaime Gomez-Hernandez, Bartolomeo Vigna
Summary: The ensemble smoother with multiple data assimilation can be used to predict discharge in an Alpine karst aquifer, specifically the Bossea aquifer. This method effectively fits a unit hydrograph along with other parameters in a hydrologic model, using observed discharge flow rates, daily precipitation, and temperatures. By analyzing multiple events, average models are defined for predicting flow discharge during spring and autumn, with acceptable results for the fall rainfall events. However, further exploration is needed for refining the snow melting approximation and the parameterization of the infiltration coefficient. Overall, the study concludes that the ensemble smoother can be used to characterize a karst aquifer for forecast analyses.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Environmental Sciences
Zi Chen, Teng Xu, J. Jaim Gomez-Hernandez, Andrea Zanini, Quanping Zhou
Summary: This study employs the ensemble smoother with multiple data assimilation (ES-MDA) method to tackle groundwater contamination issues. Results show that ES-MDA performs well in recovering the release history, especially with higher observation data frequency. However, more detailed uncertainties and parameterization of the time functions are needed to move towards field cases.
JOURNAL OF CONTAMINANT HYDROLOGY
(2023)
Article
Environmental Sciences
Zi Chen, Quanping Zhou, Jinsong Lv, Yuehua Jiang, Hai Yang, Hui Yang, Shijia Mei, Zhengyang Jia, Hong Zhang, Yang Jin, Lin Liu, Rujia Shen
Summary: This study identifies groundwater contaminant sources in the pilot promoter region of the Yangtze River Delta integration demonstration zone in Eastern China. Groundwater samples from 84 wells were collected and analyzed for groundwater quality parameters. The results show that natural hydro-chemical evolution, agricultural activities, domestic sewage, textile industrial effluent, and other industrial activities are responsible for groundwater quality in the study area.
Article
Environmental Sciences
Alessandra Feo, Fulvio Celico, Andrea Zanini
Summary: This paper compares laboratory-scale experiments and numerical simulations to investigate the migration of a DNAPL in a saturated porous medium. The results show good agreement between the simulations and experiments, and demonstrate the capability of CactusHydro for accurately tracking the evolution of the contaminant plume and evaluating the environmental impacts of DNAPL leaks.
Article
Water Resources
Zi Chen, Leli Zong, J. Jaime Gomez-Hernandez, Teng Xu, Yuehua Jiang, Quanping Zhou, Hai Yang, Zhengyang Jia, Shijia Mei
Summary: This study utilizes the ensemble smoother with multiple data assimilation method to jointly identify contaminant source information and hydraulic conductivities by assimilating electrical resistivity tomography data. The results show that this method can effectively address the contaminant source and aquifer characterization problem and provide convincing inversion results.
ADVANCES IN WATER RESOURCES
(2023)
Article
Geosciences, Multidisciplinary
Valeria Todaro, Marco D'Oria, Andrea Zanini, J. Jaime Gomez-Hernandez, Maria Giovanna Tanda
Summary: Estimating aquifer properties and their spatial variability is a challenging task in groundwater flow and transport simulations. This study applies the ensemble smoother with multiple data assimilation method to infer the characteristics of a binary field using tracer test data. Two different approaches are compared, with the second one performing better by coupling the ensemble smoother with a truncated Gaussian model. Synthetic experiments are conducted to find the optimal configurations for real cases, and the results show that both the fully parameterized approach and the pilot point approach yield comparable solutions.
HYDROGEOLOGY JOURNAL
(2023)
Article
Geosciences, Multidisciplinary
Joao Lino Pereira, J. Jaime Gomez-Hernandez, Andrea Zanini, Emmanouil A. Varouchakis, Leonardo Azevedo
Summary: Electrical resistivity tomography (ERT) is a geophysical method used to create an image of the subsurface. This study proposes an iterative geostatistical resistivity inversion method using stochastic sequential simulation and co-simulation to generate electrical resistivity models and predict subsurface properties. The method is validated using synthetic and real ERT data sets, showing its ability to model small-scale variability and assess spatial uncertainty.
HYDROGEOLOGY JOURNAL
(2023)
Editorial Material
Geosciences, Multidisciplinary
Philippe Renard, J. Jaime Gomez-Hernandez, Maria-Theresia Schafmeister, Emmanouil A. Varouchakis
HYDROGEOLOGY JOURNAL
(2023)
Article
Engineering, Civil
Lei Gan, Yu Liu, Teng Xu, Lei Xu, Hongying Ma, Weichao Xu
Summary: The effects of roughness and seepage fluids on the seepage characteristics of limestone with rough fractures were investigated. A total of five sets of limestone fracture specimens with the same surface morphology were obtained using 3D scanning and sculpting techniques. The seepage dissolution tests were conducted on the specimens using distilled water and sodium sulfate solutions. A novel method for characterizing the fracture surface morphology was proposed. The study analyzed the seepage parameters and presented a quantitative relationship between joint roughness coefficient and permeability.
JOURNAL OF HYDROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Camilla Fagandini, Valeria Todaro, Maria Giovanna Tanda, Joao L. Pereira, Leonardo Azevedo, Andrea Zanini
Summary: This study compares kriging-based interpolation methods with the FAO method for filling missing daily precipitation data in the Guadiana River basin. The results show that the geostatistical methods outperformed the FAO method in daily estimation.
MATHEMATICAL GEOSCIENCES
(2023)
Article
Geosciences, Multidisciplinary
J. Jaime Gomez-Hernandez, Daniele Secci
Summary: The use of spreadsheets in numerical groundwater flow modeling has not been fully utilized in educational settings. This article introduces a teaching aid that expands the scope of a previous publication, covering various types of groundwater flow situations and incorporating new features, making the spreadsheet model a versatile tool. Students can use this user-friendly platform for experimentation and research to gain a better understanding of groundwater flow modeling and related numerical codes.
MATHEMATICAL GEOSCIENCES
(2023)
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)
