Article
Geosciences, Multidisciplinary
Mao Ouyang, Yuka Ito, Tomochika Tokunaga
Summary: The study highlights the importance of considering local geomorphological and geohydrological characteristics in evaluating flood hazard, showing that low-lying lands are more vulnerable to flooding. Numerical simulation revealed direct groundwater recharge from the inundated surface and indirect recharge from stream leakage, playing a significant role in the delay of river water recession process.
Article
Geosciences, Multidisciplinary
Robert Emberson, Dalia B. Kirschbaum, Pukar Amatya, Hakan Tanyas, Odin Marc
Summary: Landslides are a significant hazard in high-relief areas and understanding their potential occurrence is crucial for assessing risk and impacts. Large triggering events such as earthquakes or heavy rainfall can cause multiple landslides, providing extensive datasets of their locations. This study examines the topographic parameters associated with rainfall-induced landslides and finds that the average upstream angle and compound topographic index are strong predictors of landslide scar location. The results also suggest that local relief and topographic position index can indicate where landslide material may accumulate, thus identifying high-hazard areas.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Engineering, Environmental
Apurba Das, Karl-Erich Lindenschmidt
Summary: The study found that DEMs have a high sensitivity in ice-jam flood delineation, while flood hazard delineation is low to moderate sensitive to all model parameters, and highly sensitive to almost all boundary conditions.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2021)
Article
Geography, Physical
Samia Noor, Randel Tom Cox, Robert Smalley, Md Rizwanul Hasan
Summary: The northeast-striking Axial and Bootheel faults in the central USA, which are components of the New Madrid seismic zone fault complex, have been found to exhibit subtle vertical deformation in the form of a topographic trough. This trough is believed to have formed in response to fault movement and provides important insights into the tectonic evolution of the New Madrid seismic zone.
Article
Environmental Sciences
Mark Edwin Tupas, Florian Roth, Bernhard Bauer-Marschallinger, Wolfgang Wagner
Summary: This study improves the flood mapping algorithm by introducing a HAND prior function instead of using it as a mask. The results show enhanced performance and potential for global implementation.
Article
Engineering, Civil
Gary Wee, Li-Chiu Chang, Fi-John Chang, Mohd Zaki Mat Amin
Summary: The increasing frequency of severe floods worldwide emphasizes the importance of effective communication and dissemination of flood-related information. Modern technologies like social media and early warning systems can play a crucial role in informing the public about potential floods and their impacts. This study proposes a flood impact-based forecasting system (FIBF) that utilizes fuzzy inference techniques to estimate flood risk and impact, providing timely flood information for vulnerable regions.
JOURNAL OF HYDROLOGY
(2023)
Article
Health Care Sciences & Services
Ziang Zhang, Alex Stringer, Patrick Brown, Jamie Stafford
Summary: In this paper, we propose a flexible and scalable approximate Bayesian inference methodology for the Cox Proportional Hazards model with partial likelihood. The proposed method can handle nonlinear covariate effects and correlated survival times. It mitigates the computational burden by using nested approximations, adaptive quadrature, automatic differentiation, and Laplace approximation. Simulation studies and real data analysis demonstrate the accuracy and computational advantages of the proposed method.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2023)
Article
Environmental Sciences
Omayma Amellah, Karim El Morabiti, Carmen Maftei, Constantine Papatheodorou, Constantin Buta, Ali Bounab, Mahamat Ouchar Al-Djazouli
Summary: This article aims to assess flood hazard in the Oued Laou basin on the Mediterranean coast of Morocco. Two complementary methodologies were applied to identify flood-prone areas and calculate flood parameters. The results show that the new topographic wetness index provides more reliable results than the classic index, and the flood significantly affects floodplain assets.
GEOCARTO INTERNATIONAL
(2022)
Article
Biology
Jiayin Zheng, Yingye Zheng, Li Hsu
Summary: Accurate risk assessment is crucial in clinical decision-making, and recalibrating existing models for target cohorts is important. Utilizing summary information can help reduce biases and improve the accuracy of risk estimates.
Article
Geosciences, Multidisciplinary
Michael H. Wimmer, Markus Hollaus, Gunter Bloeschl, Andreas Buttinger-Kreuzhuber, Jurgen Komma, Jurgen Waser
Summary: This article presents a processing strategy to ensure consistent adaption of countrywide spatial datasets to the requirements of hydraulic modelling, which significantly improves the DTM with respect to topographic and hydraulic consistency. Some open issues of automatic processing remain, e.g. in case of long underground river reaches.
JOURNAL OF HYDROLOGY X
(2021)
Article
Engineering, Civil
H. P. Hong, Q. Huang, W. J. Jiang, Q. Tang, P. Jarrett
Summary: This study systematically assesses tornado wind velocity hazard in Canada, considering model selection and related factors, providing potential convenience for structural design.
Article
Engineering, Multidisciplinary
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Huda M. Alshanbari, Saima Khan Khosa, Eslam Hussam
Summary: The paper introduces several commonly used distributions for modeling survival data, including the log-normal, log-logistic, and Weibull distributions. The authors propose a more flexible parametric model, the generalized log-logistic distribution, which can accommodate both monotone and non-monotone failure rate functions. They formulate an accelerated failure time model based on this distribution and demonstrate parameter estimation using Bayesian and frequentist approaches. The proposed model is evaluated through extensive simulation studies and the analysis of real-life survival data, showing its effectiveness in modeling survival data with various hazard rate shapes.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Engineering, Chemical
Hanan Haj Ahmad, Ehab M. M. Almetwally, Mohammed Elgarhy, Dina A. A. Ramadan
Summary: In 2019, the COVID-19 virus emerged, causing widespread death and prompting scientists to intensify antiviral research efforts. Modelling the recovery rate of COVID-19 using a new distribution called the unit exponential Pareto distribution was investigated in this article. The results showed the superiority of the suggested model compared to other distributions.
Article
Mathematics, Interdisciplinary Applications
Abdisalam Hassan Muse, Christophe Chesneau, Oscar Ngesa, Samuel Mwalili
Summary: This study proposes a flexible and fully parametric hazard-based regression model for censored time-to-event data with crossing survival curves. The model is able to handle both parametric and semi-parametric regression models, depending on the assumption of baseline distribution. The study investigates the use of a versatile parametric baseline distribution and compares classical and Bayesian approaches for parameter estimation. Simulation study and real-life dataset analysis show that the proposed model is effective and useful for analyzing various types of survival data with crossover survival curves.
MATHEMATICAL AND COMPUTATIONAL APPLICATIONS
(2022)
Article
Engineering, Geological
Rama M. Pokhrel, Charlotte E. L. Gilder, Paul J. Vardanega, Flavia De Luca, Raffaele De Risi, Maximilian J. Werner, Anastasios Sextos
Summary: The study demonstrates the significance of seasonal variability of the groundwater table in assessing liquefaction potential in the Kathmandu Valley, with different scenarios showing varying levels of impact on seismic liquefaction risk distribution. The comparison of methodologies used in the study provides valuable insights for future research on liquefaction hazard assessment.
BULLETIN OF EARTHQUAKE ENGINEERING
(2022)
Correction
Engineering, Geological
Rama M. Pokhrel, Charlotte E. L. Gilder, Paul J. Vardanega, Flavia De Luca, Raffaele De Risi, Maximilian J. Werner, Anastasios Sextos
BULLETIN OF EARTHQUAKE ENGINEERING
(2022)
Article
Engineering, Civil
Valentina Blasone, Alberto Basaglia, Raffaele De Risi, Flavia De Luca, Enrico Spacone
Summary: This paper presents a simplified model for moment resisting frame reinforced concrete buildings, which is efficient in conducting non-linear history analyses. The stiffness matrix and forces of the building are derived from the column elements, and the model accounts for irregularities in plan and elevation.
ENGINEERING STRUCTURES
(2022)
Article
Geosciences, Multidisciplinary
Irina Rafliana, Fatemeh Jalayer, Andrea Cerase, Lorenzo Cugliari, Marco Baiguera, Dimitra Salmanidou, Ocal Necmioglu, Ignacio Aguirre Ayerbe, Stefano Lorito, Stuart Fraser, Finn Lovholt, Andrey Babeyko, Mario A. Salgado-Galvez, Jacopo Selva, Raffaele De Risi, Mathilde B. Sorensen, Jorn Behrens, Inigo Aniel-Quiroga, Marta Del Zoppo, Stefano Belliazzi, Ignatius Ryan Pranantyo, Alessandro Amato, Ufuk Hancilar
Summary: Large tsunamis have a low probability of occurrence, leading to low risk perception and a lack of collective memories. However, with increasing population and risk exposure in coastal areas, there are immense challenges ahead. Past tsunamis have revealed the lack of preparedness and shaped the way tsunami risk is perceived and acted upon.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Engineering, Civil
Diana Fiorillo, Francesco De Paola, Giuseppe Ascione, Maurizio Giugni
Summary: This paper presents an effective methodology that combines the Harmony Search algorithm and the Storm Water Management Model to optimize drainage network design. The methodology is able to identify the best solution while verifying hydraulic constraints. It shows significant cost reduction and adaptability to rainfall variations in the case study.
WATER RESOURCES MANAGEMENT
(2023)
Article
Environmental Sciences
Gerardo Severino, Francesco De Paola
Summary: This study investigates the steady flow generated by an injecting and a pumping well in a porous formation with spatially variable hydraulic conductivity. The breakthrough curve (BTC) and its moments are computed to analyze the transportation of a solute. By adopting assumptions and simplifications, a simple analytical solution is obtained and the statistical properties of the travel time along the central trajectory are calculated. It is found that the spatial variability enhances dispersion of fluid particles, especially in the early arrivals.
WATER RESOURCES RESEARCH
(2022)
Article
Physics, Fluids & Plasmas
Gerardo Severino, Francesco De Paola, Gerardo Toraldo
Summary: This study analytically solves the problem of steady dipole-flow through a porous medium disturbed by a circular inclusion of different conductivity. The effective conductivity is found to depend on the flow configuration and the joint probability density function of conductivity and inclusion distribution/size.
PHYSICAL REVIEW FLUIDS
(2022)
Article
Engineering, Civil
Theodore Cross, Flavia De Luca, Raffaele De Risi, Guido Camata, Massimo Petracca
Summary: The seismic risk of a stone masonry template health centre developed by Pahar Trust NGO in Nepal is assessed using the latest probabilistic seismic hazard analysis. Micro-modelling in OpenSees is used to create a high-fidelity model of the health centre and derive fragility curves through cloud analysis. The study contributes to establishing a strategy for defining seismic risk for template designs in regions with highly variable seismic hazard.
ENGINEERING STRUCTURES
(2023)
Article
Development Studies
Gerardo Caroppi, Francesco Pugliese, Carlo Gerundo, Francesco De Paola, Marialuce Stanganelli, Gianfranco Urciuoli, Farrokh Nadim, Amy Oen, Pilar Andres, Maurizio Giugni
Summary: This paper presents an assessment framework tool for analyzing the performance of nature-based solutions (NBS) in managing hydro-meteorological risks. The tool uses a multi-criteria decision analysis approach and considers both the ecological and socio-economic benefits of NBS. It incorporates key performance indicators (KPIs) to assess the co-benefits and costs associated with implementing NBS. The tool is participatory in nature, taking into account stakeholder preferences, and can be used for designing and selecting NBS and other alternative measures.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2023)
Article
Engineering, Civil
Ziliang Zhang, Raffaele De Risi, Anastasios Sextos
Summary: This study establishes a probabilistic assessment framework for investigating the integrity of offshore wind turbines under the stochastic coupled effect of wind, wave and earthquake loading. The analysis considers the entire range of inflow wind speed and accounts for the epistemic uncertainty associated with various loads and conditions. The results show that seismic forces contribute comparably to the structural demand as operational-level wind and wave loads.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2023)
Review
Water Resources
C. Giudicianni, D. Mitrovic, W. Wu, G. Ferrarese, F. Pugliese, I Fernandez-Garcia, A. Campisano, F. De Paola, S. Malavasi, H. R. Maier, D. Savic, E. Creaco
Summary: Water distribution networks (WDNs) are significant energy consumers and contributors to greenhouse gas emissions. Energy recovery strategies (ERSs) have the potential to switch WDNs to renewable energy sources, reducing emissions and dependence on power-grids. This review provides a comprehensive analysis of available devices and applications for ERSs, highlighting achievements and identifying common issues and future research directions, including field testing, comparison of solutions, and addressing socio/political barriers to diffusion.
URBAN WATER JOURNAL
(2023)
Article
Environmental Sciences
Manoj Kumar, Silvio Matassa, Francesco Bianco, Armando Oliva, Stefano Papirio, Francesco Pirozzi, Francesco De Paola, Giovanni Esposito
Summary: The anaerobic digestion of sewage sludge is sensitive to high zinc concentrations, but sulfate-reducing bacteria can alleviate zinc toxicity through metal sulfide precipitation. Experiments were conducted to measure biomethane potential in different sewage sludge samples with varying zinc concentrations. The study found that the highest biomethane production occurred with activated sludge containing a background zinc concentration, and the addition of higher zinc concentrations had a slight negative impact on biomethane yield. The study also showed that zinc was removed from the system through sulfide precipitation, and methane production was not adversely affected.
Article
Engineering, Civil
Daniel Gonzalez-Fernandez, Raffaele De Risi, Djamel Rezgui, John H. G. Macdonald, Alessandro Margnelli, Branislav Titurus
Summary: The dynamic behavior of tall buildings can change significantly during different construction phases, wind conditions, and aeroelastic phenomena. This study analyzes the acceleration measurements and wind conditions of a 150 m tall building in London over a year to understand the variations in the structural modal parameters. The results show that the response amplitude and observation time are the primary factors affecting the natural frequencies and damping ratios.
Article
Physics, Fluids & Plasmas
Gerardo Severino, Francesco Giannino, Francesco De Paola, Vittorio Di Federico
Summary: We investigate 2D incompressible inertial flows through porous media and find that the constitutive, nonlinear model can be transformed into a linear one by introducing a new parameter K* encompassing all inertial effects at small scales. For naturally occurring formations at large scales, K* varies erratically, and we analytically compute its counterpart, termed generalized effective conductivity, using the self-consistent approach (SCA). Despite its approximate nature, SCA yields simple results that agree well with Monte Carlo simulations.
Article
Geosciences, Multidisciplinary
Fatemeh Jalayer, Hossein Ebrahimian, Konstantinos Trevlopoulos, Brendon Bradley
Summary: This work proposes a simulation-based Bayesian method for parameter estimation and fragility model selection for mutually exclusive and collectively exhaustive (MECE) damage states. The method utilizes an adaptive Markov chain Monte Carlo simulation (MCMC) based on likelihood estimation using point-wise intensity values. It identifies the simplest and best fitting model from a set of viable fragility models. The methodology is demonstrated for empirical fragility assessments using data from two different tsunami events and various classes of buildings.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(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)
