Article
Green & Sustainable Science & Technology
Meng-Yang Liu, Wen-Xin Huai, Bin Chen
Summary: Hyporheic exchange plays a crucial role in regulating the transport of nutrients, heat, and organic matter in rivers, impacting the biochemical processes and overall health of aquatic ecosystems. Genetic programming was used to establish a relationship between the effective diffusion coefficient and various environmental factors, leading to the development of prediction models for the sediment-water interface with and without bedforms. The dimensionless effective diffusion coefficient is influenced by both the permeability Reynolds number and the channel Reynolds number, with bedforms enhancing the effect of the former on hyporheic exchange. The new Deff predictor shows significant improvements in prediction ability compared to existing methods.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Geosciences, Multidisciplinary
G. Calvani, C. Carbonari, L. Solari
Summary: Vegetation plays a crucial role in riverine environments by influencing hydrodynamics and morphodynamics. This study derived analytical formulations to predict the thresholds for vegetation colonization based on flow velocity and Froude number, considering submergence conditions. The results highlight the importance of vegetation characteristics and flow regime in determining the thresholds, and provide insights for river restoration projects and understanding bio-morphological changes.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Multidisciplinary Sciences
Sam Brooke, Austin J. Chadwick, Jose Silvestre, Michael P. Lamb, Douglas A. Edmonds, Vamsi Ganti
Summary: A study has found that the location of river avulsions is controlled by multiple factors, including changes in valley confinement, flow deceleration or acceleration within the backwater zone, and the extent of flood-driven erosion upstream. These findings have important implications for predicting and mitigating avulsion hazards, as well as understanding the impacts of land use and climate change.
Article
Environmental Sciences
Hyoseob Noh, Yong Sung Park, Il Won Seo
Summary: Sediment transport load monitoring is important in civil and environmental engineering fields. This study proposes estimation models for the suspended-to-total load fraction using dimensionless hydro-morphological variables, and reveals the relations between them using symbolic regression methods. Clustering analyses help identify the underlying relationships between variables. These models are practical and easy to implement in other suspended sediment monitoring methods.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Hyoseob Noh, Yong Sung Park, Il Won Seo
Summary: Sediment transport load monitoring is important in civil and environmental engineering. This study proposes estimation models for the suspended-to-total load fraction using dimensionless hydro-morphological variables. The models were developed through feature elimination and symbolic regression methods. Clustering analysis and sensitivity analysis were also conducted for a deeper understanding of variable relationships.
WATER RESOURCES RESEARCH
(2023)
Article
Multidisciplinary Sciences
Predrag Popovic, Olivier Devauchelle, Anais Abramian, Eric Lajeunesse
Summary: By studying laboratory rivers, we found that the balance between fluid stress, gravity, and cross-stream diffusion determines the shape and sediment flux of rivers. Rivers are restricted to exist near the threshold of sediment motion, and can widen to transport more sediment as total sediment discharge increases. The way sediment is transported in the flow depends on the state of sediment transport.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Mechanics
Zi Wu, Arvind Singh, Efi Foufoula-Georgiou, Michele Guala, Xudong Fu, Guangqian Wang
Summary: This paper introduces a new formulation to describe bedload particle hops and successfully explains the relationship between short hops and long hops. By studying the scaling exponents of travel times in different regimes, the research provides insights into the sediment transport processes in rivers.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Environmental Sciences
D. W. Haught, J. G. Venditti
Summary: Measurement of sediment in large rivers is difficult and expensive, but crucial for managing these systems in the face of climate change and rising sea levels. Acoustic methods are used to estimate suspended sediment, and a sediment-index methodology is presented and assessed for the Lower Fraser River.
WATER RESOURCES RESEARCH
(2023)
Article
Engineering, Civil
Teresa Serra, Marianna Soler, Aina Barcelona, Jordi Colomer
Summary: Sediment-replenished artificial flooding results in a more balanced suspended sediment transport compared to non-sediment-replenishment cases, with higher sedimentation rates during flood events.
JOURNAL OF HYDROLOGY
(2022)
Article
Geosciences, Multidisciplinary
D. Vazquez-Tarrio, R. Menendez-Duarte
Summary: Bedload transport is crucial for gravel-bed river morphodynamics, and its quantification is essential for various environmental issues and engineering applications. However, the sensitivity of bedload formulae to input parameters raises doubts when applying them to poorly gauged river reaches.
Review
Environmental Sciences
Richard J. Mason, Harry Sanders
Summary: Invertebrates play a significant role as sediment engineers in freshwater habitats, with their behavior influencing whether they have a destabilizing or stabilizing impact on sediment. While research has focused on biotic interactions, the complex interactions between lotic invertebrates and fluvial processes remain understudied, necessitating further research across a broader range of taxa, behaviors, and spatiotemporal scales.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2021)
Article
Computer Science, Artificial Intelligence
Qiang Lu, Congwen Xu, Jake Luo, Zhiguang Wang
Summary: Gene Expression Programming (GEP) is commonly used for symbolic regression (SR) problems, but it often falls into local optima and randomly searches for results, impacting performance. To address these issues, a new algorithm called AB-GEP is proposed, which uses an adversarial bandit (AB) technique to segment the expression space and leverages AvgExp3 for enhanced population jumps between subspaces. Evaluation on benchmark datasets shows that AB-GEP maintains better population diversity and achieves superior results compared to traditional GEP algorithms.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Environmental Sciences
Binjie Zhao, Xinshuai Li, Yang Wang, Xiang Tan, Wenhua Qi, Hongran Li, Junwei Wei, Yong You, Wenjun Shi, Quanfa Zhang
Summary: The study investigated dissimilatory nitrate reduction rates in sediments of two subtropical rivers in China, revealing varying contributions of denitrification, anammox, and DNRA in different seasons and under different levels of human disturbance. The rates were correlated with environmental factors, highlighting the importance of understanding these processes for sustaining the ecohealth of river ecosystems.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Sumit Das
Summary: The study examines the temporal variation in streamflow and sediment load in 12 major tropical rivers in Peninsular India, highlighting the sensitivity of landscape complexity to sediment yield. The results reveal a significant decrease in streamflow in some rivers and a decline in sediment load in almost all rivers, largely influenced by factors such as precipitation and construction of reservoirs. Profile curvature, plan curvature, relief, average elevation, circularity ratio, and average annual rainfall are identified as key variables related to sediment yield in Peninsular India.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Engineering, Civil
Eun-Kyung Jang, Un Ji
Summary: The study found significant differences in sediment load and concentration in different regions of South Korean rivers, highlighting the need for precise application of the relationship between discharge and sediment load and selective data based on relational conditions. Comparisons of existing sediment transport formulas using various goodness-of-fit methods showed variations in optimal formula selection.
KSCE JOURNAL OF CIVIL ENGINEERING
(2021)
Article
Engineering, Civil
Wan Hanna Melini Wan Mohtar, Charles Hin Joo Bong, Aminuddin Ab Ghani, Mir Jafar Sadegh Safari, Aizat Mohd Taib, Haitham Abdulmohsin Afan, Ahmed EL-SHAFIE
Summary: This paper analyzes experimental data on sediment incipient motion with varying sediment bed thickness and evaluates the effect of deposited bed. It is found that higher critical mean velocity is needed for shallower deposits.
Article
Engineering, Environmental
Maryam Bagheri, Seyed M. Ali Zomorodian, Masih Zolghadr, H. Md Azamathulla, C. Venkata Siva Rama Prasad
Summary: The study investigated flow separation at the upstream side of lateral turnouts, proposing methods to reduce the separation zone dimensions through the use of roughening elements and different bed level inverts. Experimental results and a 3-D CFD model confirmed the effectiveness of these methods in reducing the separation zone.
Article
Engineering, Environmental
Parveen Sihag, Balraj Singh, Md Azlin Bin Md Said, H. Md Azamathulla
Summary: The study revealed that the pruned M5P approach outperformed other methods in predicting the coefficient of Manning's roughness for hydraulic designing, with high correlation coefficients and low errors.
Article
Engineering, Environmental
Ajmal Hussain, Muhammad Mustafa, Hazi Mohammad Azamathullah, M. R. Sadique
Summary: Hydraulic transients result from rapid flow changes in pressurized systems, causing pressure surges in pipelines. It is important to provide water hammer protection devices to prevent excessive pressures that may lead to bursts or cavitation.
Article
Engineering, Mechanical
Kiyoumars Roushangar, Saman Shahnazi, Hazi Mohammad Azamathulla
Summary: In this study, the modeling capability of bed load sediment transport under varied hydraulic conditions was investigated using Grey Wolf Optimization based Kernel Extreme Learning Machine (GWO-KELM) and Standard Gradient Descent based Gaussian Process Regression (SGD-GPR) models. The proposed hybrid GWO-KELM model demonstrated consistent performance under different hydraulic conditions.
FLOW MEASUREMENT AND INSTRUMENTATION
(2022)
Article
Environmental Sciences
Masih Zolghadr, Mohamad R. Rafiee, Fatemeh Esmaeilmanesh, Abazar Fathi, Ravi Prakash Tripathi, Upaka Rathnayake, Sreedhar Rao Gunakala, Hazi Mohammad Azamathulla
Summary: This study aims to present a new method to calculate Time of Concentration (TC) and compare its accuracy with 31 empirical methods. The results show that hydraulic simulation is an efficient method to determine TC, and three empirical methods also have low errors, which can be recommended for the studied area and areas with similar hydrological characteristics.
Article
Water Resources
Chun Kiat Chang, Aminuddin Ab Ghani
Summary: Rapid urbanization has accelerated the impact on catchment hydrology and geomorphology, and studying the channel changes and sediment transport phenomena of the Pahang River Basin is crucial for future river basin management.
INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT
(2022)
Article
Engineering, Environmental
Kiyoumars Roushangar, Roghayeh Ghasempour, Hazi Mohammad Azamathulla
Summary: In this research, a finite difference scheme developed by Richtmeyer is presented for simulating 1D steady/unsteady flow and bed morphology in alluvial channels. Laboratory experiments were conducted to validate the proposed model. The role of sediment transport formulas, coupled uncoupled approaches, and simplification in the mass continuity equation are investigated for improving the simulation. The study also highlights the importance of changing alluvial roughness and the application of a genetic algorithm in optimizing roughness coefficients.
Article
Chemistry, Analytical
Madhawa Herath, Tharaka Jayathilaka, Hazi Mohammad Azamathulla, Vishwanadham Mandala, Namal Rathnayake, Upaka Rathnayake
Summary: Wetlands are vital ecosystems that provide various benefits, but they are also highly endangered due to human activities and climate change. This study in Sri Lanka focused on understanding the key meteorological parameters affecting the water depth of the Colombo flood detention basin. The findings revealed that rainfall was the most significant parameter, along with interesting combinations of parameters like rainfall-nighttime relative humidity, rainfall-evaporation, daytime relative humidity-evaporation, and rainfall-nighttime relative humidity-evaporation, which impacted water level fluctuations.
Article
Physics, Fluids & Plasmas
Masih Zolghadr, Seyed Mohammad Ali Zomorodian, Abazar Fathi, Ravi Prakash Tripathi, Neda Jafari, Darshan Mehta, Parveen Sihag, Hazi Mohammad Azamathulla
Summary: This study investigates the use of roughening elements as devices to intercept the downflow that triggers local scour around bridge abutments. Different widths of abutments were examined under varying hydraulic conditions in a clear-water regime. The results show that roughening elements with thickness and protrusion of P = t = 0.2 L provide the most effective protection.
Review
Green & Sustainable Science & Technology
Vijendra Kumar, Hazi Md. Azamathulla, Kul Vaibhav Sharma, Darshan J. Mehta, Kiran Tota Maharaj
Summary: Floods are a devastating natural calamity, and accurate flood forecasts and control are essential to safeguard populations. Deep learning has emerged as a potent tool for improving flood prediction and control by utilizing its capacity to handle massive amounts of data and provide accurate forecasts. This review thoroughly examines the current state of deep learning applications in flood forecasting and management, discusses various aspects including data sources, models, and assessment measures, and highlights challenges and potential directions for future research. It is a valuable resource for academics and professionals working on flood forecasting and management.
Article
Green & Sustainable Science & Technology
Kushan D. Siriwardhana, Dimantha I. Jayaneththi, Ruchiru D. Herath, Randika K. Makumbura, Hemantha Jayasinghe, Miyuru B. Gunathilake, Hazi Md. Azamathulla, Kiran Tota-Maharaj, Upaka Rathnayake
Summary: The water supply system is crucial in the community, but the quality of water sources is deteriorating due to human activities. The Kalu River is a major water resource in Sri Lanka, but there hasn't been enough research on anthropogenic activities in the river. This study analyzes the spatiotemporal variation of the water quality in the Kalu River, emphasizing the importance of continuous water quality monitoring.
Article
Engineering, Environmental
Asma Rabiei, Jahanshir Mohammadzadeh-Habili, Aaron Anil Chadee, Seyed Mohammadali Zomorodian, Mohammad Jameel, Hazi Mohammad Azamathulla
Summary: The hydraulic jump stilling basin is commonly used for dissipating energy from supercritical flow. A mathematical relationship between the sequent flow depth ratio of a hydraulic jump and the inflow Froude number and relative length of the basin front was derived through dimensional analysis. The proposed structure stabilized the hydraulic jump and improved energy dissipation performance. Experimental and numerical simulations showed the formation of large recirculation regions, leading to intense energy dissipation in the right-triangle basin.
Article
Construction & Building Technology
Lee P. Leon, Karishma Roopnarine, Hazi Mohammad Azamathulla, Aaron Anil Chadee, Upaka Rathnayake
Summary: Recent research has been primarily focused on the introduction, development, and evaluation of performance-based specifications for asphalt concrete mixture design. In the Caribbean, most laboratories solely use the Volumetric Marshall Mix design methodology, which has been criticized for its limitations. Performance-Based Mix Design (PBMD) has emerged as an alternative approach that incorporates performance testing alongside volumetric parameters. This study presents the findings of comprehensive laboratory research aimed at developing a PBMD framework for asphalt concrete mixtures.
Article
Construction & Building Technology
Sajani Gamage, Sandini Palitha, D. P. P. Meddage, Shayani Mendis, Hazi Md Azamathulla, Upaka Rathnayake
Summary: This study investigated the strength and durability characteristics of Interlocking Paving Blocks (IPB) in the presence of waste materials, crumb rubber (CR) and coconut coir fibers (CCF). The findings showed that CCF can increase compressive and split tensile strength, while CR-based IPBs exhibited improved skid resistance. This research highlights the importance of incorporating waste materials in the IPB industry.