Article
Environmental Sciences
Mohammad Mehdi Riyahi, Hossien Riahi-Madvar
Summary: Detention rockfill dams are important in flood control projects due to their minimal technical requirement, low cost, minimal environmental side effects, and self-automotive operation process. However, reliable design of these dams is challenging due to the complexity of Non-Darcian flow interactions with stability and uncertainties of dam. This study examines the effects of uncertainties in probabilistic design of these dams and proposes a reliable design framework with a focus on stability analysis.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Ian Grooms
Summary: This paper reviews two nonlinear, non-Gaussian extensions of the Ensemble Kalman Filter and demonstrates their superiority over traditional methods in handling nonlinear and non-Gaussian observations through a series of experiments.
COMPUTATIONAL GEOSCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Gaukhar Shaimerdenova, Hakon Hoel, Raul Tempone
Summary: In this work, a highly efficient filtering method called multi-index EnKF (MIEnKF) is proposed by combining ideas from multi-index Monte Carlo and ensemble Kalman filtering. The MIEnKF method is based on independent samples of four-coupled EnKF estimators on a multi-index hierarchy of resolution levels, serving as an extension of the multilevel EnKF (MLEnKF) method developed by the same authors in 2020. Numerical verifications demonstrate that MIEnKF is more tractable and efficient than EnKF and MLEnKF.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Physics, Fluids & Plasmas
Dilimulati Aierken, Michael Bachmann
Summary: The study shows that a bifurcation of the coil-globule transition line occurs for polymers with a bending stiffness above a threshold value, which is revealed through a systematic microcanonical inflection-point analysis of precise numerical results obtained in extensive generalized-ensemble Monte Carlo simulations. The region between the toroidal and random-coil phases is dominated by structures transitioning from hairpins to loops as the energy decreases. Conventional canonical statistical analysis is unable to identify these separate phases.
Article
Engineering, Geological
Chao Zhao, Wenping Gong, Tianzheng Li, C. Hsein Juang, Huiming Tang, Hui Wang
Summary: Accurate characterization of subsurface stratigraphic configuration is crucial to geotechnical engineering work, but uncertainty can be significant due to complexity and limited data availability. This paper presents a method for characterizing subsurface stratigraphy with limited borehole data, demonstrating its effectiveness and advantages through comparative analyses and a case study in Western Australia.
ENGINEERING GEOLOGY
(2021)
Article
Environmental Sciences
Maeva Caillat, Valentin Pibernus, Sylvain Girard, Mathieu Ribatet, Patrick Armand, Christophe Duchenne
Summary: In the event of accidental or malevolent atmospheric releases, decision-makers need to take swift mitigating measures. However, the determination of danger zones and safe zones based on atmospheric dispersion models is uncertain due to unreliable input data. This paper proposes a methodology to accurately estimate the probability of exceeding a concentration threshold, taking into account spatial correlation and providing more accurate risk assessments in low probability areas. This methodology shows promise in creating useful maps for decision-makers and can be implemented in a decision-support tool.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Physics, Applied
Jan Kaiser, Supriyo Datta
Summary: The article discusses a probabilistic computer based on p-bits that can accelerate randomized algorithms used in various applications, such as Bayesian networks, optimization, Ising models, and quantum Monte Carlo. A generic architecture for p-computers and simulations with thousands of p-bits are proposed to demonstrate their potential for significant speedup.
APPLIED PHYSICS LETTERS
(2021)
Article
Environmental Sciences
Gerrit Schoups, Mohsen Nasseri
Summary: This study introduces a Bayesian hierarchical model that combines monthly water balance data and estimates data errors and error-corrected water balance components, leading to significant improvements in the accuracy of posterior water balance estimates.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Nicholas M. Enwright, Wyatt C. Cheney, Kristine O. Evans, Hana R. Thurman, Mark S. Woodrey, Auriel M. V. Fournier, Dean B. Gesch, Jonathan L. Pitchford, Jason M. Stoker, Stephen C. Medeiros
Summary: This study developed a framework to create a probabilistic map of irregularly flooded wetlands using existing land use land cover data, lidar-derived digital elevation models, and Monte Carlo simulations. The results showed that this approach can provide valuable information about the spatial distribution and changes of coastal wetlands.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Keighobad Jafarzadegan, Peyman Abbaszadeh, Hamid Moradkhani
Summary: Real-time probabilistic flood inundation mapping is crucial for flood risk warning and decision-making, and traditional flood hazard maps cannot accurately represent the actual dynamics of flooding rivers. Introducing data assimilation techniques is an effective way to improve the accuracy and reliability of flood inundation mapping.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Engineering, Environmental
Pei-Chiun Li, Hsiu-Ching Shih, Hwong-wen Ma
Summary: In modern steelmaking, disconnection of phosphorus content data hinders material management and resource efficiency. This study establishes a method to evaluate material flows and perform quality control for waste recycling in the steelmaking industry, finding that variations in phosphorus content affect slag recycling effectiveness and that raw material treatment and waste removal are more efficient for quality control.
Article
Engineering, Environmental
Babak Jamhiri, Yongfu Xu, Mahdi Shadabfar, Susanga Costa
Summary: A probabilistic machine learning framework is developed to improve deterministic models, utilizing a complete set of data-driven soil and environment parameters as inputs to predict crack surface ratio. Monte Carlo simulation is employed to insert uncertainties in the models, and two sensitivity analyses are conducted to assess prediction reliability. Results show that GBTs perform the best in terms of prediction accuracy and parameter importance analysis ranks FWC as the most important factor.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2023)
Article
Environmental Sciences
Evangelos Rozos, Katerina Mazi, Antonis D. Koussis
Summary: The study systematically analyzes the uncertainty of image velocimetry using a probabilistic approach to improve method performance and understand the impact of video recording conditions on accuracy of estimated values.
Article
Engineering, Geological
Zening Zhao, Surya Sarat Chandra Congress, Guojun Cai, Wei Duan
Summary: The study proposed a Bayesian inference approach combined with total probability theorem to obtain the updated distributions of c(h) from a limited number of test data, recommending the use of model M-2 for calculating c(h).
Article
Engineering, Mechanical
Md Abir Hossain, Jaime A. Cano, Calvin M. Stewart
Summary: Creep behavior is influenced by uncertainty, requiring the development of probabilistic creep models for reliable design. The deterministic WCS model is transformed into a probabilistic model by considering uncertainty factors such as test conditions, pre-existing damage, and material constants. The model is calibrated using replicated quintuplicate creep data for 304 stainless steel. The MCMC method with the MH algorithm is used to introduce uncertainties into the model, capturing the range of creep behavior using short-term data.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2023)
Review
Engineering, Environmental
Zixin Zhang, Guohe Huang, Yongping Li, Xiujuan Chen, Yao Yao, Shaojie Ren, Mengna Li, Yuwei Wu, Chunjiang An
Summary: Electrically conductive membranes have been recognized as an effective strategy for water and wastewater treatment, with inorganic membranes attracting much attention due to their inherent merits. This paper provides an overview of recent developments in conductive inorganic membranes, including electrochemical principles, fabrication methods, and major applications in water treatment. It also discusses existing issues and research needs for the future development and application of the electrochemical membrane filtration process based on conductive inorganic membranes.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Environmental Sciences
Rongjie Hao, Guohe Huang, Lirong Liu, Yongping Li, Jizhe Li, Mengyu Zhai
Summary: The study developed a sustainable conjunctive water management model (SCWM) to provide a sustainable solution for future multiple-source water saving management measures. Through a case study of Shaanxi province, it revealed the optimal possibility of adapting to water shortage by increasing industrial water efficiency and reducing agricultural final demand.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Engineering, Environmental
Xiaomei Xu, Xueting Zeng, Yongping Li, Chunrong Wang, Lei Yu, Guohe Huang, Junlong Zhang, Juan Feng, Xinyu Han
Summary: The study establishes a Bayesian simulation-based multi-watershed effluent trading designing model, which can reflect parameter uncertainties in nutrient simulation, reveal detailed optimal trading schemes under the impact of uncertainties and vital factors, and identify optimal effluent trading mechanisms through revealing interaction among trading processes of multiple watersheds. The results provide a solid scientific basis for nonpoint source pollution management as well as effective sustainable development for multi-watershed region.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Water Resources
J. S. Wu, Y. P. Li, J. Sun, P. P. Gao, G. H. Huang, J. Liu
Summary: The MSEP method integrates multiple global climate models and land-use models to analyze the impacts of climate and land-use changes on runoff, providing various scenarios for future runoff simulations. The study found that climate change is the leading factor in runoff variation, and controlling arable land expansion and improving irrigation efficiency can help mitigate the impact of climate change on water resources management and ecological environmental recovery.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Water Resources
Tangnyu Song, Guohe Huang, Guoqing Wang, Yongping Li, Xiuquan Wang, Chen Lu, Zhenyao Shen
Summary: The study utilizes the developed RegCM ensemble and obtained BMA weights to generate probabilistic projections for future temperature, showing that RegCM coupled with the holtslag PBL scheme driven by HadGEM can provide relatively reliable temperature projections at most climate stations.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Agronomy
Donglin Gu, Jiahang Guo, Yurui Fan, Qiting Zuo, Lei Yu
Summary: This study aims to establish a Pressure-State-Response (PSR) model to evaluate the water-energy-food (WEF) system security and clarify the main factors affecting WEF development, system state and social response. Different quantitative methods were used to assess the WEF system security in the nine provinces of the Yellow River basin from 2006 to 2019. The results show that the WEF system security in each province has improved over time.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Agronomy
Ye Xu, Junyuan Tan, Xu Wang, Wei Li, Xing He, Xiaoguang Hu, Yurui Fan
Summary: This study developed an inexact fractional fuzzy chance constraint programming method to establish a water-food-energy nexus system model considering uncertainties and greenhouse gas emissions. The results indicate that this model can achieve a maximized unit benefit and lowest total greenhouse gas emissions.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Environmental Sciences
Kai Huang, Liming Dai, Lei Yu, Yurui Fan, Guohe Huang, Yao Xiao, Qingsong Wu
Summary: In this study, an inexact fractional programming method is used to plan the water energy-food nexus system at a regional scale. The method is applied to Henan Province in China, and the results show that it can generate optimal planting schemes for maximizing water utilization efficiency. Additionally, the inexact fractional programming approach provides higher unit benefits compared to integer linear programming.
JOURNAL OF CONTAMINANT HYDROLOGY
(2022)
Article
Environmental Sciences
Yakui Ding, Yongping Li, Heran Zheng, Yuan Ma, Guohe Huang, Yanfeng Li, Zhenyao Shen
Summary: China's urban population is projected to increase, leading to a high demand for resource-intensive products. Quantitative analysis of the environmental impacts of urban agglomerations can help balance water conservation, energy use, climate change mitigation, and urban development. The study found that there has been a reduction in water, energy, and carbon emissions intensities in the Pearl River Delta urban agglomeration.
Article
Agronomy
Junlong Zhang, Yongping Li, Li You, Guohe Huang, Xiaomei Xu, Xiaoya Wang
Summary: This study proposes a Bayesian dual risk aversion based stochastic programming method for selecting optimal effluent trading and multi-risk management schemes. By considering uncertain nutrient loading and spatial correlation, the study obtains the optimal trading scheme and risk management scheme, providing guidance for water protection and management.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Thermodynamics
Yakui Ding, Yongping Li, Heran Zheng, Jing Meng, Jing Lv, Guohe Huang
Summary: Using the structure-based singular value decomposition method, this study examined the energy-water nexus network in the Pearl River Delta urban agglomeration from 2012 to 2015. The findings indicate that exports are the largest final demand for energy-related water and water-related energy, Shenzhen relies on other cities for E-water and W-energy, and Guangzhou's electricity and equipment manufacture drive the largest energy-water clusters.
Article
Environmental Sciences
Xiaoyang Li, Guohe Huang, Shuguang Wang, Yongping Li, Xiaoyue Zhang, Xiong Zhou
Summary: An interval two-stage fuzzy fractional programming (TFFP) method is developed to facilitate collaborative governance of economy and water resources. The method integrates interval programming, fuzzy programming, two-stage programming, and fractional programming within a general system optimization framework. A case study of Shenzhen, China is provided to demonstrate the proposed approach, showing the allocation of water resources for different sectors and districts, analysis of key pollutants and seawater desalination volume, and evaluation of economic maximization scenarios.
ENVIRONMENTAL POLLUTION
(2022)
Article
Engineering, Civil
F. Wang, G. H. Huang, Y. Fan, Y. P. Li
Summary: A disaggregated multi-level factorial hydrologic data assimilation model is proposed to explore the direct and composite effects of uncertainties in hydrologic data assimilation systems. The results show that reducing streamflow observation error is the most efficient way to improve predictions, and the data assimilation scheme plays a vital role in hydrological predictions.
JOURNAL OF HYDROLOGY
(2022)
Article
Agronomy
Yu Wang, Yanli Lu, Ye Xu, Lijun Zheng, Yurui Fan
Summary: In this study, a factorial inexact copula stochastic programming (FICSP) method is developed for planning the regional-scale water-energy-food nexus (WEFN) system. The FICSP can handle uncertainties expressed as interval and random parameters, and handle the interdependence among correlated random variables. The results show that under limited water resources, the corn cultivation would be prioritized but the increase of water resources tends to increase the wheat cultivation and reduce corn planting.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Yang Cheng, Lei Jin, Haiyan Fu, Yurui Fan, Ruolin Bai, Yi Wei
Summary: A study developed an energy-carbon-water nexus system model to assess trade-offs among different decision-making objectives and proposed a novel algorithm for solving fuzzy linear programming. The results of the study showed that the uncertainties in energy system parameters significantly influenced model outputs and decision-making processes.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
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)