Article
Engineering, Multidisciplinary
Ping-Cheng Hsieh, Pin-Chen Lee
Summary: Most researchers investigate groundwater flow problems by solving the Boussinesq equation using analytical approaches or numerical methods. The Dupuit-Forchheimer assumption is commonly made in unconfined aquifers. Linearization of the Boussinesq equation is necessary due to its nonlinearity. The proposed analytical approach in this study provides an effective tool for estimating groundwater level in a multilayered aquifer.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Environmental Sciences
V. F. Bense, T. Kruijssen, M. P. van der Ploeg, B. L. Kurylyk
Summary: Assessing aquitard hydraulic properties is difficult but critical for understanding recharge and discharge in aquifer systems. This study compares traditional methods for estimating hydraulic conductivity to new methods using numerical modeling, head monitoring, and heat source inference, showing that the latter yields accurate results efficiently.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
V. G. Rumynin, L. N. Sindalovskiy, A. M. Nikulenkov
Summary: Analytical and semi-analytical models were presented for 2D flow and particle transport in stratified rock or vertically non-uniform bedrock aquifers. The focus was on groundwater flow paths and ages sensitivity to geological and hydraulic simplifications in hard-rock formations. The mathematical setup used the Dupuit-Forchheimer approximation and validated solutions through comparison with numerical results.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
David P. Dethier, Noah Williams, Jordan F. Fields
Summary: The hydrology of alpine and subalpine areas in the Colorado Front Range is changing due to warming and alterations in precipitation patterns. The study found that soil hydraulic conductivity is comparable to shallow aquifer hydraulic conductivity. Higher hydraulic conductivity was observed in alpine areas underlain by periglacial deposits and lower conductivity in till-covered subalpine areas. As temperatures rise and snowmelt occurs earlier, alpine soils may become more vulnerable to drought, impacting the connectivity between snowmelt streams and downstream areas.
Article
Environmental Sciences
John R. Nimmo, Paige R. Voss
Summary: Because tension infiltrometers apply water through a disk of finite size, the infiltrated water moves laterally as well as downward. Some commonly used formulas correct for the multidimensional effects by subtracting an estimate of the laterally spreading flow, but these subtractive formulas lose accuracy for disks smaller than about 200 mm in diameter. We developed a new formula that uses a multiplicative factor instead of a subtracted term to achieve a more reliable calculation of hydraulic conductivity (K) for small disks.
WATER RESOURCES RESEARCH
(2023)
Article
Engineering, Civil
D. Moret-Fernandez, B. Latorre, L. Lassabatere, S. Di Prima, M. Castellini, D. Yilmaz, R. Angulo-Jaramilo
Summary: The study investigates the influence of layered soils on the estimation of K-s and S using Sequential Infiltration Analysis (SIA) method, presenting a new approach for analyzing infiltration curves on layered soil profiles. The results show improved estimates of saturated hydraulic conductivity and sorptivity with the SIA method, especially in the presence of soil layering.
JOURNAL OF HYDROLOGY
(2021)
Article
Agronomy
Jana Podhrazska, Josef Kucera, Jan Szturc, Martin Blecha, Petr Karasek, Igor Pelisek, Jana Konecna
Summary: This study evaluates the characteristics of Chernozems damaged by long-acting water erosion and finds that the deteriorated soil in the accumulation slope parts has lower infiltration capacity and unsatisfactory soil conditions. The transportation and eluvial slope zones also show poor porosity and aeration values.
Article
Engineering, Civil
Gopal Kumar, D. R. Sena, B. K. Rao, R. S. Kurothe, Nyonand Yadav, P. R. Bhatnagar, Uday Mandal
Summary: The experimental results indicate that a high sediment concentration can cause a sharp reduction in filter hydraulic conductivity. Introducing a filtration hiatus of 2 days between tests can significantly improve the hydraulic conductivity of the filter matrix. Using a pre-entry sedimentation trap before filtration can maintain scaled-up hydraulic conductivities for a longer duration.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Gioacchino Francesco Andriani, Nicola Pastore, Concetta Immacolata Giasi, Mario Parise
Summary: This study presents an integrated investigation of the hydraulic properties of homogeneous calcarenites with a complex pore network, focusing on water infiltration and retention mechanisms under high water inflow from dry to wet conditions. The experimental and model-based assessment of the materials' hydraulic properties under unsaturated conditions was conducted, with a particular emphasis on the dominance of macro-porosity on water flow and infiltration rate. Theoretical solutions and model predictions were compared with experimental data, highlighting the gravity-driven flow through macropores as the main mechanism for wetting front propagation.
JOURNAL OF HYDROLOGY
(2021)
Article
Geochemistry & Geophysics
Chao Zhuang, Xiangdong Xu, Zhi Dou, Chun Zhu, Yun Yang, Jinguo Wang, Zhifang Zhou
Summary: This study develops an innovative analytical model to analyze the effects of vertical heterogeneity on tidal wave propagation in coastal leaky aquifer systems. The research reveals that the differences in hydraulic conductivity and specific storage between layers in the aquifer significantly affect the amplitude and phase shift of groundwater level fluctuations.
Article
Engineering, Civil
Mohamed Hayek
Summary: This paper presents analytical solutions for one-dimensional nonlinear steady-state vertical flux through unsaturated soils, which are applicable to homogeneous soils and fit better with experimental data. The solutions are obtained using the Maclaurin series expansion technique, and show excellent agreements with numerical results.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Lulu Xu, Meifeng Cai, Shuning Dong, Shangxian Yin, Ting Xiao, Zhenxue Dai, Yanwei Wang, Mohamad Reza Soltanian
Summary: This study developed a novel upscaling framework to predict roof water inflow in underground coal mining. The framework integrated multiscale hydrogeological properties of roof aquifers, including imaging rock samples, performing pore-scale analysis, and evaluating fractures. The proposed upscaling approach was validated using data from a coal mine in Northern China, showing promising results in accurately predicting water inflow.
JOURNAL OF HYDROLOGY
(2022)
Article
Soil Science
Rafael Villarreal, Luis Alberto Lozano, Esteban M. Melani, Nicolas Guillermo Polich, Maria Paz Salazar, Guido Lautaro Bellora, C. German Soracco
Summary: Research shows that introducing cover crops under NT management can promote the increment of a secondary pore system related to structural soil porosity during the first year, enhancing unsaturated hydraulic conductivity and pore connectivity, especially at the end of the summer crop cycle.
SOIL & TILLAGE RESEARCH
(2021)
Article
Environmental Sciences
B. Zhu, L. Chu, Fengyi Yang, T. F. Fwa
Summary: This study proposed a new method for evaluating the infiltration capacity of IBPPs using a finite-volume computational fluid dynamic method to develop a simulation model. The model can calculate the infiltration capacity of different permeable pavements, providing a meaningful common basis for comparison.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Gert Ghysels, Christian Anibas, Henock Awol, Abebe Debele Tolche, Uwe Schneidewind, Marijke Huysmans
Summary: Riverbed temperature profiles are commonly used in estimating vertical river-aquifer exchange fluxes, with often assumed vertical flow. However, riverbeds are heterogeneous and may have non-vertical flows, leading to different flux estimates. A study on the Aa River in Belgium shows that 3D groundwater models estimate higher exchange fluxes than 1D solutions due to non-vertical flows near riverbanks.
Article
Engineering, Geological
Tao Yan, Shui-Long Shen, Annan Zhou
Summary: This paper proposes a framework to identify geological characteristics using a fuzzy C-means algorithm based on borehole data and operational data. The identified factors are significantly reduced by principal component analysis, and the types of geological characteristics are determined using the fuzzy C-means model.
Article
Engineering, Geological
Pierre Guy Atangana Njock, Ning Zhang, Annan Zhou, Shui-Long Shen
Summary: This study proposes an improved random forest (IRF) model to evaluate ground displacement caused by jet grouting. By integrating a hybrid particle swarm optimization-simulated annealing algorithm (PSO-SA) into random forest, the IRF model shows better searching and convergence abilities compared to its counterparts. The results demonstrate that the IRF model outperforms benchmark models in predicting ground displacement. Additionally, the analysis of variable importance shows that ground lateral displacement can be controlled through two operating parameters.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING
(2023)
Article
Environmental Sciences
Tao Yan, Annan Zhou, Shui-Long Shen
Summary: A new framework for predicting long-term water quality is proposed using Bayesian-optimized machine learning methods and key pollution indicators. The SG-op model achieves the best performance with high accuracy and Kappa coefficient. The framework can efficiently predict future water quality and provide technical support for emergency pollution control.
ENVIRONMENTAL POLLUTION
(2023)
Article
Green & Sustainable Science & Technology
Pierre Guy Atangana Njock, Annan Zhou, Zhenyu Yin, Shui-Long Shen
Summary: This study proposes a flexible methodology for quantifying the risk status of coastal subbasins, which integrates the characteristics of multi-criteria analysis and fuzzy set theory. The methodology includes constructing a risk index to reveal the extent of cumulative nutrients discharges. The application of the proposed model in the Baltic Sea shows an increasing trend of risk index over the years and aligns well with field observations and HELCOM predictions.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Chemical
Xin Liu, Annan Zhou, Kai Sun, Shui-Long Shen
Summary: In this study, the influence of suction on the macro/micro-mechanical behaviour of unsaturated soil was investigated through a series of three-dimensional simulations using the discrete element method. The results were compared with laboratory test results to understand the relationship between macroscopic behavior and micro-mechanical variables.
Article
Construction & Building Technology
Shui-Long Shen, Tao Yan, Annan Zhou
Summary: This paper presents an approach for estimating the locations of the soil-rock interfaces during shield tunnelling based on vibration data. The vibration data were collected using accelerometers on the back of the soil chamber wall. The continuous wavelet transform was used to analyze the time-frequency spectrum of the acceleration and identify vibration peaks. The approach was validated on the Guangzhou-Foshan intercity railway project.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Engineering, Geological
Song-Shun Lin, Annan Zhou, Shui-Long Shen
Summary: Risk events in karst geological environments during excavation construction can be reduced by implementing a suitable risk-control scheme. This study proposes a decision-making approach based on the fuzzy VIKOR method to identify the optimal risk-control scheme. The approach uses a triangular fuzzy set for expressing expert judgements and constructs a decision hierarchy based on four criteria and 12 sub-criteria. The identified scheme, involving pressure grouting with a two-phase liquid system, was validated through core recovery and modified number of blows using a standard penetration test. A flowchart for optimal scheme identification in geotechnical engineering practice is also provided.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
Article
Engineering, Geological
Ning Zhang, Annan Zhou, Yin-Fu Jin, Zhen-Yu Yin, Shui-Long Shen
Summary: The study proposes an enhanced deep learning method to address the accuracy issue in neural network-based methods for soil stress-strain response. The enhanced method significantly improves accuracy, extrapolation capacity, and robustness. A rationality investigation is conducted into the weight gradient variation in neural networks. The effectiveness is verified through three stress-strain responses of soil, demonstrating improved predictive accuracy and robustness against errors.
Article
Construction & Building Technology
Song-Shun Lin, Annan Zhou, Shui-Long Shen
Summary: This study develops an intelligent multi-criteria decision-making (MCDM) model to select the optimal construction method for complex and fuzzy construction environments in underground infrastructure construction (UIC) in China. The model consists of three stages: decision hierarchy establishment and data collection, data processing, and MCDM modelling. It also introduces the coefficient of variation for spherical fuzzy set to evaluate the degree of consensus on judgments of experts towards evaluated objects, and outlines a decision hierarchy for the optimal construction method for UIC. The developed model provides an alternative approach to address complex decision-making issues in the UIC field.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Engineering, Civil
Yi Zeng, Pierre Guy Atangana Njock, Wang Xiong, Xiao-Long Zhang, Shui-Long Shen
Summary: This paper presents a case study on the identification and management of geological and environmental risks during the construction of the largest slurry shield tunnel in China. The ground conditions and settlement control were challenging due to mixed ground conditions, fault zones, and tunneling under residential areas and Metro Lines. Novel monitoring systems, ground treatment, and safety management technologies were successfully implemented. A technical framework was proposed as a risk management guidance for similar tunneling operations.
Article
Energy & Fuels
Shui-Long Shen, Pierre Guy Atangana Njock, Annan Zhou
Summary: This paper investigates the effect of nozzle structure on efficiency of jet flow and determines the optimal nozzles for jet grouting operations through a combination of field experiment, numerical simulation, and multicriteria decision analysis. The results show that 4 out of the 10 structures investigated achieved the steadiest jetting pressure attenuation along different standoff distances, while satisfying the required driving pressure and flow rate. The study identified the converging section as critical for the conversion of viscous force within the nozzle and determined the optimal nozzle structure based on parameters such as L2 and theta.
GEOENERGY SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Khalid Elbaz, Wafaa Mohamed Shaban, Annan Zhou, Shui-Long Shen
Summary: This study proposes an image-based deep learning method that improves air quality recognition and produces accurate multiple horizon forecasts. The proposed model combines a 3D-CNN, a GRU, and an attention mechanism to extract hidden features, recognize environmental variables, extract temporal features, and adjust the influence of features to avoid fluctuations in air pollutant values. Experimental results show that the proposed method outperforms other state-of-the-art methods in terms of forecasting accuracy.
Article
Construction & Building Technology
Tao Yan, Shui-Long Shen, Annan Zhou
Summary: Geological features are crucial for the safety and efficiency of shield tunnelling, but they are often concealed and difficult to observe. To address this issue, a novel index called Geological Feature Identification Index (GFII) has been introduced to evaluate the impact of geological conditions on shield tunnelling. The results show that cutterhead torque and shield thrust weights are significantly affected by various geological features, with the entropy-weighted GFII demonstrating superior performance.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
