Article
Agriculture, Multidisciplinary
Tesfaye Yaekob, Lulseged Tamene, Solomon G. Gebrehiwot, Solomon S. Demissie, Zenebe Adimassu, Kifle Woldearegay, Kindu Mekonnen, Tilahun Amede, Wuletawu Abera, John W. Recha, Dawit Solomon, Peter Thorne
Summary: The government of Ethiopia introduced a yearly mass campaign to address soil erosion and moisture stress, implementing various soil and water conservation (SWC) and water harvesting (WH) practices. This study assessed the impacts of different land uses, SWC, and WH interventions on water and suspended sediment yield in the central highlands of Ethiopia. The results showed that SWC practices reduced runoff and soil loss at both plot and watershed scales, although the effectiveness declined over time due to a lack of maintenance.
RENEWABLE AGRICULTURE AND FOOD SYSTEMS
(2022)
Article
Geosciences, Multidisciplinary
Sergey Chalov, Viktor Ivanov
Summary: This paper presents a comparative study of sediment budgets for the largest Siberian rivers in Northern Eurasia. The data suggests that sediment sinks and storage in catchment and river networks dominate the sediment budget, leading to a significant decline in sediment transport compared to catchment erosion.
Article
Water Resources
Jean P. G. Minella, Gustavo H. Merten, Alexandre Schlesner, Felipe Bernardi, Claudia A. P. de Barros, Tales Tiecher, Rafael Ramon, Olivier Evrard, Danilo Rheinheimer dos Santos, Jose Miguel Reichert, Rutineia Tassi
Summary: This article provides an overview of almost 20 years of monitoring in the Arvorezinha experimental catchment, highlighting the impact of hydrology and sediment yield, as well as the research methods used. It stresses the importance of catchment-scale studies for teaching, generating technical-scientific knowledge, and fostering collaboration between research groups.
HYDROLOGICAL PROCESSES
(2022)
Article
Environmental Sciences
Zilin Zuo, Hui Wang, Shuwen Ding, Yijin Wu
Summary: This study quantified the morphological characteristics of rill erosion using stereophotogrammetry technology through simulated rainfall tests, and investigated the relationship between rill development and sediment yield. The results showed that there was a significant correlation between sediment yield and slope and rainfall intensities, with an increase in rainfall intensity and slope leading to an increase in rill length, width, and number. This study provides valuable insights for understanding the mechanisms of rill erosion and can be used as a reference for soil erosion measurement and scale transformations at different scales.
Article
Chemistry, Multidisciplinary
Taoufik Hermassi, Mohamed Lassaad Kotti, Fathia Jarray
Summary: This study evaluates the impacts of environmental changes on soil erosion and sediment yield in the Merguellil watershed in Central Tunisia over the past forty years. The results show that the combined impact of land use change and soil and water conservation techniques has resulted in a slight decrease in soil erosion and sediment yield. However, the predictions suggest that further degradation of natural vegetation and a reduction in the efficiency of soil and water conservation works may lead to a slight increase in soil erosion and sediment yield.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Somil Swarnkar, Shivam Tripathi, Rajiv Sinha
Summary: The Himalayan basins are characterized by severe soil erosion rates, which are exacerbated by unsustainable agricultural activities, impacting the overall hydro-geomorphic regime of river basins. Research findings demonstrate that a significant portion of sediment production in the Ganga and Kosi basins comes from the mountainous regions, with a large proportion of sediment accommodation in the alluvial plains of the Kosi Basin.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Geosciences, Multidisciplinary
Philipp Saggau, Michael Kuhwald, Rainer Duttmann
Summary: To reduce water erosion on arable soils, conservation measures such as contour farming or reduced tillage practices can be applied. This study assesses the impact of reduced and conventional tillage and slope-related tramline directions on runoff and soil erosion rates. Results show that tramlines have strong interrelations with surface runoff, water connectivity, and soil erosion, highlighting the importance of considering tramlines in process-based models for better assessment of soil erosion risk and conservation measure efficiencies.
Review
Environmental Studies
Tesfa Gebrie Andualem, Guna A. Hewa, Baden R. Myers, Stefan Peters, John Boland
Summary: Soil erosion and sediment transport have significant consequences for agriculture, water quality, and stream channels. Understanding these processes and their interactions is crucial for assessing environmental impacts. This review aims to identify a suitable model for catchment-scale soil erosion and sediment transport. The study considers various model selection processes and acknowledges the limitations and uncertainties associated with these models.
Article
Environmental Studies
Yongfen Zhang, Nong Wang, Chongjun Tang, Shiqiang Zhang, Yuejun Song, Kaitao Liao, Xiaofei Nie
Summary: Landscape patterns are influenced by both natural and social factors. Quantifying the relationships between landscape pattern changes, soil erosion, and sediment yield in river basins is essential for decision-making. This study focused on the upper Ganjiang Basin, using a hydrological model to simulate soil erosion and sediment yield, leading to the establishment of new landscape metrics that were significantly correlated with soil erosion and sediment yield in the river basin.
Article
Engineering, Civil
Sanghyun Lee, Maria L. Chu, Jorge A. Guzman
Summary: This study examined the impact of radar-derived precipitation (RDP) and rain-gauge precipitation (RGP) on sediment prediction, finding that combining RDP led to better model performance by improving the accuracy of sediment yield predictions at higher resolution. This highlights the importance of considering the spatial variability of rainfall and assessing sediment production in order to improve predictions and reduce uncertainties associated with sediment simulations.
JOURNAL OF HYDROLOGY
(2021)
Article
Plant Sciences
Haijin Zheng, Hongren Li, Minghao Mo, Yuejun Song, Zhao Liu, Huaming Zhang
Summary: Planting hedgerows is an effective measure for increasing soil and water conservation on sloped farmland, with the potential to reduce annual surface runoff and erosive sediment. However, the beneficial effects may be obscured by changes in micro-topography over time. Despite no significant influence on soil total nutrient contents, hedgerows can optimize economic output and crop yield characteristics at different developmental phases.
JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION
(2021)
Article
Geosciences, Multidisciplinary
Xinliang Wu, Chongfa Cai, Dingqiang Li, Jinxing Zhou, Wenbo Zhang
Summary: Sediment transport patterns depend on flow hydrodynamic characteristics and sediment properties, which are influenced by soil structural stability. However, the response of sediment sizes and transport patterns to a wide range of structural stability in original soils is unclear.
Article
Environmental Sciences
Saeed Najafi, Seyed Hamidreza Sadeghi, Tobias Heckmann
Summary: The study investigates sediment connectivity based on structural and functional aspects, showing that high structural connectivity does not necessarily lead to high sediment transportation. Structural connectivity reflects the potential for sediment transfer between specific source and sink areas, while functional connectivity occurs where soil erosion processes are actively eroding sediment.
LAND DEGRADATION & DEVELOPMENT
(2021)
Article
Environmental Sciences
Valentin Golosov, Anatoly Tsyplenkov
Summary: This paper discusses the joint impact of various catchment complexity factors on suspended sediment yield in the Caucasus region, revealing clear spatial patterns and the importance of topographic factors and land cover types in influencing sediment yield.
Article
Green & Sustainable Science & Technology
Ma Del Carmen Ponce-Rodriguez, Francisco Oscar Carrete-Carreon, Gerardo Alonso Nunez-Fernandez, Jose De Jesus Munoz-Ramos, Maria-Elena Perez-Lopez
Summary: Soil erosion is a common problem in Durango, Mexico, affecting 77.4% of the territory. The hydrological keyline design (HKD) was found to retain more water and reduce sediment transport compared to the control group, ultimately leading to a 126% increase in bean yield compared to the regional average. The implementation of HKD had a positive impact on soil and moisture conservation.
Article
Engineering, Multidisciplinary
Ahmed Silik, Mohammad Noori, Wael A. Altabey, Ji Dang, Ramin Ghiasi, Zhishen Wu
Summary: This study proposes a new framework for choosing an appropriate wavelet for massive nonstationary data analysis, disturbances separation, and extraction of informative features associated with damage. The method takes into consideration various criteria and introduces new measures to evaluate the capabilities of base wavelets for decomposition and reconstruction of structural dynamic responses. Experimental and simulated data verification shows that small order Daubechies and Symlet wavelets, especially order 3, provide the best results for base wavelet selection. The proposed framework can be applied to other structural applications.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Review
Computer Science, Interdisciplinary Applications
Vahid Reza Gharehbaghi, Ehsan Noroozinejad Farsangi, Mohammad Noori, T. Y. Yang, Shaofan Li, Andy Nguyen, Christian Malaga-Chuquitaype, Paolo Gardoni, Seyedali Mirjalili
Summary: This paper provides a comprehensive review of structural health monitoring in civil engineering structures, covering fundamental definitions, strategies, anomaly detection methods, validation benchmarks, and the pros and cons of each approach.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Article
Materials Science, Multidisciplinary
Zele Li, Decheng Feng, Mohammad Noori, Dipanjan Basu, Wael A. Altabey
Summary: A novel dynamic soil-structure interaction model is developed for analyzing the behavior of Euler-Bernoulli beam on a spatially random transversely isotropic viscoelastic foundation subjected to moving and oscillating loads. The model utilizes the extended Hamilton's principle to establish the dynamic equilibrium equation of the beam-soil system. The resulting partial differential equations are discretized and solved using the finite difference method. The model demonstrates accuracy and efficiency in predicting the displacement response of the beam-soil system.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS
(2022)
Editorial Material
Chemistry, Multidisciplinary
Mohammad Noori, Wael A. Altabey
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Zele Li, Mohammad Noori, Chunfeng Wan, Bo Yu, Bochen Wang, Wael A. Altabey
Summary: A restoring-force model is a versatile mathematical model that can describe the relationship between the restoring force and the deformation. This paper proposes a deep neural network model to estimate the hysteresis parameters of the Bouc-Wen-Baber-Noori (BWBN) model and overcomes the difficulty in parameter identification. The proposed approach provides an effective and promising method for multi-parameter hysteresis model identification.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Mechanical
Sallam A. Kouritem, Mohamed A. Al-Moghazy, Mohammad Noori, Wael A. Altabey
Summary: Converting wasted ambient vibration into electric power using a piezoelectric energy harvester is a promising strategy for powering sensor networks in medical and industrial applications. By controlling the inclination angle of the tip masses, output power can be increased and working bandwidth expanded.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Chemistry, Analytical
Vahidreza Gharehbaghi, Ehsan Noroozinejad Farsangi, T. Y. Yang, Mohammad Noori, Denise-Penelope N. Kontoni
Summary: This study proposes an efficient crack-detection method called FastCrackNet, which combines a fully connected network with 2D-wavelet image transform for feature analysis and feature reduction. It outperforms other image classifiers in terms of speed, performance, and resilience.
Article
Chemistry, Physical
Wael A. Altabey, Mohammad Noori, Zhishen Wu, Mohamed A. Al-Moghazy, Sallam A. Kouritem
Summary: This study focuses on predicting the acoustic behavior of muffler materials using deep learning algorithms to save time and effort. The model training parameters are optimized using Bayesian genetic algorithms, and the accuracy and reliability of the proposed technique are validated by comparing the results with experimental data.
Review
Chemistry, Multidisciplinary
Hamna Shaukat, Ahsan Ali, Saira Bibi, Wael A. A. Altabey, Mohammad Noori, Sallam A. A. Kouritem
Summary: This paper provides a detailed review of different piezoelectric materials, their structures, fabrication processes, and applications in analytical chemistry. The benefits of using piezoelectric materials in gas and liquid chromatography, virus detection, water determination, trace metal analysis, and micro weight measurement with quartz crystal are described. Energy harvesting is important and developing self-powering devices using piezoelectric materials is gaining interest.
APPLIED SCIENCES-BASEL
(2023)
Editorial Material
Chemistry, Multidisciplinary
Wael A. Altabey, Mohammad Noori
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Analytical
Wael A. Altabey, Zhishen Wu, Mohammad Noori, Hamed Fathnejat
Summary: This paper proposes a structural health monitoring (SHM) system for automatic early warning of damage detection and location in composite pipelines. The study discusses the challenges of using FBG sensors for accurate damage detection and introduces an integrated sensing-diagnostic SHM system that combines deep learning and other machine learning methods using an Enhanced Convolutional Neural Network (ECNN). The proposed ECNN achieves high accuracy and reliability in detecting pipe deterioration.
Editorial Material
Chemistry, Physical
Wael A. Altabey, Mohammad Noori
Article
Engineering, Civil
Ahmed Silik, Mohammad Noori, Ramin Ghiasi, Tianyu Wang, Sin-Chi Kuok, Nabeel S. D. Farhan, Ji Dang, Zhishen Wu, Wael A. Altabey
Summary: Monitoring structural damage is crucial for maintaining the longevity and safety of civil and mechanical systems. However, capturing subtle damage from structural vibration response remains challenging. This study introduces a technique to extract informative damage-sensitive features and develop a pattern recognition-based statistical model. The proposed algorithm shows high efficiency and accuracy in determining the structural integrity state of complex systems.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2023)
Review
Chemistry, Analytical
Ahsan Ali, Muaz Ashfaq, Aleen Qureshi, Umar Muzammil, Hamna Shaukat, Shaukat Ali, Wael A. Altabey, Mohammad Noori, Sallam A. Kouritem
Summary: The rapid growth of the global population, coupled with a significant aging population, has led to a substantial increase in healthcare costs. Advances in sensor technologies, embedded systems, wireless communication technologies, nanotechnologies, and miniaturization have enabled the development of wearable devices that can continuously monitor human activity and detect physiological signs. These wearable sensors provide a means of detecting and addressing health issues in real-time, potentially reducing the need for hospital visits. This study reviews wearable sensor-based activity-monitoring systems and explores the challenges and opportunities in the field of healthcare.
Proceedings Paper
Construction & Building Technology
Mohammad Noori, Jian Zhang, Eltahry Elghandour, Donatello Cardone, Peyman Narjabadifam
Summary: Effective protection against earthquakes has always been a challenge for humanity, but aseismic isolation (AI) technology has provided a good solution. However, further efforts are needed to enhance the seismic resilience of AI. Advanced materials, particularly shape memory alloys (SMAs), offer great potential for improving the effectiveness of AI in sustainable seismic resilience. The combination of SMAs and sliding isolation systems (ISs) in the form of SMA-based superelasticity-assisted sliders (SSS) has been proposed as a pioneering approach to seismically protect various structures.
SEISMIC ISOLATION, ENERGY DISSIPATION AND ACTIVE VIBRATION CONTROL OF STRUCTURES, 17WCSI 2022
(2023)
