Article
Multidisciplinary Sciences
Yanjiao Wang, Jieru Han, Ziming Teng
Summary: This paper proposes an improved Group Teaching Optimization Algorithm (IGTOA) to enhance the convergence speed and accuracy. It assigns teachers independently to each individual, increasing the evolution direction and population diversity. It dynamically divides students into different groups to meet the needs of different evolutionary stages. Additionally, it improves the teaching method for average group students and proposes a population reconstruction mechanism.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Environmental
Zhe Li, Yuanbo Cao, Jiupeng Zhang, Wolong Liu
Summary: This study focuses on the design of permeable asphalt pavement in North China by analyzing rainfall characteristics of five representative cities. Nine drainage pavement schemes applicable to Beijing were proposed, with results showing that the minimum total design thickness for permeable surface and basic layers meeting drainage requirements is 170 mm.
WATER SCIENCE AND TECHNOLOGY
(2021)
Article
Environmental Sciences
Nam P. T. Nguyen, Albert Sultana, Nathaporn Areerachakul, Jaya Kandasamy
Summary: The adoption of permeable interlocking concrete pavement systems (PICPs) in Australia has been slow despite their benefits. This study provides evidence of the long-term efficiency of PICPs through field measurements in Sydney and Wollongong. The high infiltration rates of PICPs under various conditions were demonstrated, with influences of factors like installation age, slope, and tree cover explored.
Article
Computer Science, Information Systems
Xinming Zhang, Qiuying Lin
Summary: This paper proposes an improved SL-PSO algorithm, called TLS-PSO, which enhances the optimization performance of PSO through the use of three learning strategies and a hybrid learning mechanism. Experimental results demonstrate that TLS-PSO outperforms state-of-the-art PSO variants and other algorithms on complex functions and engineering problems, indicating its superior performance and potential for practical problem-solving.
INFORMATION SCIENCES
(2022)
Article
Environmental Sciences
Ian M. Simpson, Ryan J. Winston, R. Andrew Tirpak
Summary: Permeable pavements are used to mitigate negative hydrologic outcomes, but clogging in joint openings hinders their hydraulic function. Various maintenance techniques were tested on PICPs in Ohio, with some improving surface infiltration rates significantly, although restoring hydraulic conditions to initial levels was challenging.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Computer Science, Artificial Intelligence
Tareq M. M. Shami, Seyedali Mirjalili, Yasser Al-Eryani, Khadija Daoudi, Saadat Izadi, Laith Abualigah
Summary: Particle swarm optimization (PSO) is a well-regarded metaheuristic method, but it suffers from slow convergence and local optima entrapment. This study proposes a novel method called velocity pausing PSO (VPPSO) which allows particles to move with the same velocity as the previous iteration. VPPSO demonstrates superior performance in solving high-dimensional problems and can be applied to various real-world optimization problems.
NEURAL COMPUTING & APPLICATIONS
(2023)
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
Mathematics, Interdisciplinary Applications
Jinwei Pang, Xiaohui Li, Shuang Han
Summary: Particle swarm optimization (PSO) is an evolutionary algorithm for solving global optimization problems. A mixed strategy PSO algorithm (MSPSO) which integrates five different PSO variants was proposed. The algorithm utilizes an adaptive selection strategy to adjust the probability of selecting different variants based on the rate of fitness value change. To enhance the algorithm's exploitation ability, a Nelder-Mead variant method is also introduced.
Article
Multidisciplinary Sciences
Yong Gao, Hao Zhang, Yingying Duan, Huaifeng Zhang
Summary: The particle swarm optimization algorithm (PSO) is widely used in many fields due to its concise concept and good optimization performance. However, it tends to fall into early convergence when solving complex multimodal optimization problems. This study proposes a new hybrid algorithm called PSOLFWM by combining the PSO algorithm with wavelet theory and levy flight theory to enhance population diversity and searching performance, resulting in higher quality solutions. Experimental results demonstrate that the proposed algorithm outperforms comparison methods in terms of convergence speed and accuracy, and it exhibits higher search stability and anti-interference performance. Statistical analyses further confirm the superiority of the proposed algorithm compared to other methods.
Article
Engineering, Civil
Mariana Marchioni, Roberto Fedele, Anita Raimondi, John Sansalone, Gianfranco Becciu
Summary: This study used X-Ray microTomography technology to determine the pore structure parameters and hydraulic conductivity of permeable asphalt, and established a filtration mechanism model. The model was validated with data from a rainfall simulator. The identification of filtration mechanisms and hydraulic conductivity is crucial for the design and evaluation of permeable pavement systems.
WATER RESOURCES MANAGEMENT
(2022)
Article
Mathematics
Qiang Yang, Xu Guo, Xu-Dong Gao, Dong-Dong Xu, Zhen-Yu Lu
Summary: This paper proposes a differential elite learning particle swarm optimization (DELPSO) method to guide the update of each particle by differentiating the two guiding exemplars. The method achieves good optimization performance when dealing with complicated optimization problems.
Article
Computer Science, Artificial Intelligence
Lalit Kumar, Manish Pandey, Mitul Kumar Ahirwal
Summary: The computational time of swarm optimization algorithms, including Particle Swarm Optimization (PSO), is increased due to the large number of decision variables in complex problems. A new Global Best-Worst Particle Swarm Optimization (GBWPSO) algorithm, combining PSO and Jaya algorithm, is proposed to provide a more parallel version of the algorithm. The proposed algorithm outperforms other parallel PSO versions and Jaya algorithm in terms of computational time and optimal solution.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Information Systems
Khelil Kassoul, Nicolas Zufferey, Naoufel Cheikhrouhou, Samir Brahim Belhaouari
Summary: This paper presents an extended Particle Swarm Optimization (PSO) variant, called Exponential Particle Swarm Optimization (ExPSO), which effectively explores the search space by dividing the swarm population into subpopulations, employing an exponential function search strategy, and controlling the velocity range of each particle. Comparisons and statistical results with other heuristic search algorithms demonstrate the significant contribution of the exponential search strategy and the superiority of ExPSO in terms of convergence velocity and optimization accuracy.
Article
Computer Science, Information Systems
Vasileios Kourepinis, Christina Iliopoulou, Ioannis X. Tassopoulos, Chrysanthi Aroniadi, Grigorios N. Beligiannis
Summary: The Urban Transit Routing Problem (UTRP) is a challenging discrete problem that involves designing efficient routes for public transport systems. Metaheuristic methods, such as swarm intelligence algorithms, are considered highly suitable for addressing the UTRP. In this study, a new variant of the particle swarm optimization algorithm is proposed as an efficient solution approach for the UTRP, demonstrating better performance than existing techniques.
Article
Engineering, Civil
He Zhang, Shanshan Guo, Xuzhi Long, Yuanyuan Hao
Summary: When traffic congestion caused by accidents occurs on urban roads, an effective dynamic route guidance scheme and a reasonable signal timing scheme are necessary to mitigate the impact on urban traffic. This paper proposes traffic congestion division and traffic evacuation strategies, as well as a two-stage model to optimize signal timing parameters based on queuing analysis and spatiotemporal variation at intersections. The model considers the dissipation of queuing vehicles and is solved using a particle swarm optimization algorithm. Experimental results demonstrate significant reductions in vehicle delay, stop times, queue length, and the number of vehicles passing.
JOURNAL OF ADVANCED TRANSPORTATION
(2023)
Article
Engineering, Environmental
Giuseppe Brunetti, Radka Kodesova, Helena Svecova, Miroslav Fer, Antonin Nikodem, Ales Klement, Roman Grabic, Jiri Simunek
Summary: Soil pollution from emerging contaminants poses a significant threat to water resources management and food production. A multi scale biophysical model has been developed to predict the fate of ionizable compound in the soil-plant continuum, using a Bayesian probabilistic framework for calibration and evaluation, showing satisfactory fitting performance and limited predictive uncertainty. pH conditions in both soil and xylem play a crucial role in the uptake and translocation of ionizable compounds, according to the model results.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Astronomy & Astrophysics
A. R. Kacimov, Yu Obnosov, J. Simunek
Summary: Analytical solutions were used to study water extinction in axisymmetric craters, including different shapes of craters under various soil conditions. Results from numerical simulations and experiments confirmed a good match between analytical approximations and HYDRUS simulations, providing insights into the hydrological implications of surface-subsurface water entities in terrestrial and Martian environments.
Article
Engineering, Civil
Anna Gumula-Kawecka, Beata Jaworska-Szulc, Adam Szymkiewicz, Wioletta Gorczewska-Langner, Malgorzata Pruszkowska-Caceres, Rafael Angulo-Jaramillo, Jirka Simunek
Summary: Groundwater recharge quantification is crucial in hydrogeology, and this study in northern Poland utilized 1D vertical flow in the vadose zone and water table fluctuation analysis to investigate local-scale recharge of a shallow sandy aquifer. By combining these methods and adjusting parameters through simulations and observations, the study refined the range of recharge estimates and highlighted the importance of extended observations and simulations in capturing recharge variability over time.
JOURNAL OF HYDROLOGY
(2022)
Article
Water Resources
Michele Turco, Stefania Anna Palermo, Mario Maiolo, Behrouz Pirouz, Patrizia Piro
Summary: Green wall systems are suitable solutions for mitigating the adverse effects of urbanisation and climate change. However, their hydrological efficiency has been inadequately studied. Proper evaluation of the unsaturated hydraulic properties of the growing media is crucial for their retention capacity.
URBAN WATER JOURNAL
(2023)
Article
Environmental Sciences
Mostafa Shoorangiz, Mohammad Reza Nikoo, Jirka Simunek, Amir H. Gandomi, Jan Franklin Adamowski, Malik Al-Wardy
Summary: This study proposes a risk-based simulation-optimization framework combined with a decision support model to determine optimal locations for contaminant flushing hydrants. The framework reduces the risk of water contamination events and provides a robust plan with a 95% confidence level. The integrated model incorporates a conflict modeling technique and a novel contamination event grouping-parallel water quality simulation technique to reduce model runtime.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Georgios Kourakos, Giuseppe Brunetti, Daniel P. Bigelow, Steven Wallander, Helen E. Dahlke
Summary: Managed aquifer recharge (MAR) can store excess surface water for later use, and this study proposes a simulation-optimization (SO) framework to determine cost-effective locations for MAR facilities. The framework combines an evolutionary algorithm with objective functions to maximize groundwater storage gains and minimize MAR costs. The application to California's Central Valley shows that recharging high-magnitude flows can double groundwater storage gain at a marginal cost of $57 to $110 million per km(3), while sourcing recharge water from outside local basins increases storage gain by 25%-80% but increases costs by 10%-15% due to additional lift cost.
WATER RESOURCES RESEARCH
(2023)
Article
Soil Science
Mitsuhiro Inoue, Hirotaka Saito, Haruyuki Fujimaki, Kosuke Noborio, Koji Inosako, Jiri Simunek
Summary: This paper presents a simple and inexpensive method called repeated falling-head (RFH) to determine field-saturated hydraulic conductivity (Kfs). The method uses a portable cylinder as a water supply tank through which water infiltrates into the soil. The falling-head test is repeated without complete drainage of the cylinder to eliminate the effects of initial soil moisture conditions. The study shows the reliability of the RFH method by comparing the Kfs values obtained using this method with those obtained using other established methods.
Article
Engineering, Civil
Djim M. L. Diongue, Giuseppe Brunetti, Christine Stumpp, Frederic C. Do, Olivier Roupsard, Didier Orange, Waly Faye, Sidy Sow, Christophe Jourdan, Serigne Faye
Summary: The Faidherbia tree is commonly used as an intercrop in the Sahelian agroforestry parklands, but its effect on the water balance is not well understood. In this study, a low-fidelity hydrological model was combined with a correction function to emulate a high-fidelity description of the system. The results show that the model can accurately reproduce observations and indicate a positive effect of Faidherbia on the water balance in arid areas.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Giuseppe Brunetti, Jiri Simunek, Thomas Woehling, Christine Stumpp
Summary: This study compares four algorithms that use Affine-Invariant (AI) moves or Differential Evolution (DE) strategies to approximate the target density, in order to clarify the behavior of Markov-Chains Monte Carlo ensemble samplers for vadose zone inverse modeling. The analysis reveals that DE-based samplers with N = d + 1 chains converge to the wrong stationary posterior, while AI samplers exhibit delayed convergence. DE-based samplers regain their ergodic properties when using N & GE; 2d chains. All evaluation metrics degrade as d increases, suggesting that sampling strategies based only on interpolation between chains become inefficient when the bulk of the posterior lays in increasingly small portions of the parameters' space.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Tiantian Zhou, Jiri Simunek, Paolo Nasta, Giuseppe Brunetti, Marcel Gaj, Christoph Neukum, Vincent Post
Summary: This study provides an effective tool for agriculture and forest water management by simulating and interpreting the fractionation of stable isotopes in soil and the origins of root water uptake.
WATER RESOURCES RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Vinod Phogat, Jirka Simunek, Paul Petrie, Tim Pitt, Vilim Filipovic
Summary: Rainfed wheat production systems face challenges of low-fertility soils and frequent droughts. This study used a biophysical numerical model to analyze water balance and nitrogen dynamics in rainfed wheat cultivation in South Australia. The results show significant variations in water and nitrogen use efficiency, and suggest the potential for optimizing wheat production and reducing nitrogen losses through integrated water balance and nitrogen modeling.
Article
Environmental Studies
Vinod Phogat, Tim Pitt, Paul Petrie, Jirka Simunek, Michael Cutting
Summary: Water quality has a significant impact on crop growth and water balance, affecting root water uptake, drainage, and soil salinity accumulation. Proper leaching irrigation and root zone monitoring are key for salinity management.
Article
Geosciences, Multidisciplinary
Marleen Schuebl, Giuseppe Brunetti, Gabriele Fuchs, Christine Stumpp
Summary: Groundwater recharge is challenging to measure directly, so this study used a combination of numerical models and soil water monitoring data to estimate and compare potential recharge rates in Austria. The study also assessed the impact of model predictive uncertainty on simulated water fluxes. The results showed that recharge rates varied across different regions of Austria, with higher rates and lower seasonality in the west and lower rates with higher seasonality in the southeast and east. Climate factors were found to have a stronger influence on recharge rates than soil properties, highlighting the vulnerability of groundwater recharge to climate change.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Review
Chemistry, Analytical
Stefania Anna Palermo, Mario Maiolo, Anna Chiara Brusco, Michele Turco, Behrouz Pirouz, Emilio Greco, Giandomenico Spezzano, Patrizia Piro
Summary: The latest progress in ICT and IoT has opened up new opportunities for real-time monitoring and controlling of cities. Smart water management technology provides data and tools to help users manage water usage more effectively. Smart buildings enhance a city's sustainability and address environmental challenges due to increasing population and climate change.
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)
