Knowledge-Based Engineering and Sciences最新文献

{"title":"Capabilities of Novel Carbon Nano Adsorbents in Evaluating the Extraction of 2-Nitrophenol and Heavy Metal from Aqueous Solutions","authors":"Hamza A. Asmaly, N. Kabbashi, M. Al-Khatib, Md Zahangir Alam, Mohamed Abdelgader Ahmed Yassin","doi":"10.51526/kbes.2023.4.3.35-50","DOIUrl":"https://doi.org/10.51526/kbes.2023.4.3.35-50","url":null,"abstract":"This study primarily focused on evaluating the efficacy of Metal Oxide-infused Carbon Nano Adsorbents (CNAs), which included both Carbon Nanotubes and Carbon Nanofibers, in removing Cd+2, Cr+3, and 2-NP from water solutions. We synthesized and analyzed four distinct types of CNAs, each impregnated with either Al2O3, TiO2, Fe2O3, or Cu2O3. The metal content in these CNAs was determined by comparing their dry and calcined weights. To investigate their properties, we utilized various techniques such as Scanning Electron Microscopy (SEM), X-ray Diffraction (XRD), Brunauer-Emmett-Teller (BET) surface area analysis, Energy-Dispersive X-ray Spectroscopy (EDX), and Thermal Gravimetric Analysis (TGA). These methods helped us understand their morphological traits, surface areas, pore structures, metal oxide distributions, and thermal stabilities, thereby confirming their adsorption effectiveness for pollutants. The findings indicated that CNAs altered with metal oxides showed higher surface areas and adsorption abilities than their unmodified counterparts. Specifically, CNAs/TiO2 exhibited the most significant increase in surface area (140 m2/g) and pore volume (0.460 cm3/g), which resulted in an enhanced adsorption capacity for Cd+3 at 11.4 (mg/g), surpassing the 9.5 (mg/g) capacity of pure CNAs with surface area (90 m2/g) and Pore volume (0.331 cm3/g). Similarly, CNAs/Al2O3 demonstrated an increased surface area of 100 (m2/g), surpassing that of pure CNAs. This enhancement led to a significant improvement in adsorption capacities, elevating the uptake for Cr+3 from 32.2 to 52 (mg/g) and for 2-NP from 24.8 to 49.6 (mg/g). This enhancement in adsorption efficiency is attributed to the increased surface area and improved surface chemistry due to the incorporation of Titania and Alumina, which proved more effective than modifications with copper oxide and Ferric oxide. These insights emphasize the significance of selecting appropriate metal oxides for modifying CNAs, as this can greatly impact their ability to target various contaminants, thus contributing to the development of more advanced water purification methods using CNAs/MO.","PeriodicalId":254108,"journal":{"name":"Knowledge-Based Engineering and Sciences","volume":"101 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139135032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A New Benchmark on Machine Learning Methodologies for Hydrological Processes Modelling: A Comprehensive Review for Limitations and Future Research Directions","authors":"Z. Yaseen","doi":"10.51526/kbes.2023.4.3.65-103","DOIUrl":"https://doi.org/10.51526/kbes.2023.4.3.65-103","url":null,"abstract":"The best practice of watershed management is through the understanding of the hydrological processes. As a matter of fact, hydrological processes are highly associated with stochastic, non-linear, and non-stationary phenomena. Hydrological processes simulation and modeling are challenging issues in the domains of hydrology, climate and environment. Hence, the development of machine learning (ML) models for solving those complex hydrological problems took essential place over the past couple decades. It can be observed, hydrological data availability has increased remarkably, and thus computational resources has led to a resurgence in ML models’ development. It has been witnessed huge efforts on the hydrological processes modeling using the facility of ML models and several review researches have been conducted. Literature studies approved the capacity of ML models in the field of hydrology over the classical “traditional models” based on their forecastability, flexibility, precision, generalization, and modeling execution convergence speed. However, although several potential merits were observed in ML model’s development, several limitations are allied such as the interpretability of those black-box models, the practicality of the ML models in watershed management, and difficulty to explain the physical hydrological processes. In this survey, an exhibition for all the published review articles on the development of ML models for hydrological processes and recognize all the research gaps and potential research direction. The ultimate aim of the current survey is to establish a new milestone for the interested hydrology, environment and climate researchers on the applications of ML models.","PeriodicalId":254108,"journal":{"name":"Knowledge-Based Engineering and Sciences","volume":"83 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139132026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-time flood inundation monitoring in Capital of India using Google Earth Engine and Sentinel database","authors":"Biswarup Rana","doi":"10.51526/kbes.2023.4.3.1-16","DOIUrl":"https://doi.org/10.51526/kbes.2023.4.3.1-16","url":null,"abstract":"This study focuses on researching flood inundation and vulnerable areas in Delhi NCT using Remote Sensing (RS) and GIS techniques during flood from July 8 to July 15, 2023, with the entire analysis conducted through satellite and cloud-based processing methods, specifically employing the Google Earth Engine (GEE). Leveraging high-temporal satellites that gather data enables the identification of flooded zones in real-time, during floods, and in the aftermath. Analyzing data collected at different stages of a flood provides valuable insights for pinpointing affected areas. Water naturally flows from high to low elevation areas, and based on elevation data, lowest elevation regions, particularly along the Yamuna riverbank under Delhi NCT, are highly susceptible to flooding, are considered flood-prone areas and flood water inundated. A thorough comprehension and flood-prone area mapping, along with a map illustrating highly inundated zones. After obtaining flood inundation maps and overlaying them with Land Use and Land Cover (LULC) classified maps, the study identified specific areas that experienced flood inundation. The analysis generated a flood zone map, indicating that the flooded area encompasses approximately 110 km², within a total study area of 1488.4 km². The affected areas have elevations ranging from 200 to 210 meters, whereas the maximum elevation in the study area is approximately 326 meters. The GEE platform is employed for processing, utilizing a Supervised classification algorithm for LULC mapping, and an Inverse Distance Weight method for mapping temperature and rainfall. This study utilized the GEE platform to create pre- and post-flood maps based on Sentinel 1 satellite datasets. Generated DEM, and employed it to create various surface estimation maps, including a stream order map. The GIS is employed to enhance the efficiency of monitoring and managing flood disasters, with the high temporal and spatial resolution data playing a pivotal role in flood monitoring.","PeriodicalId":254108,"journal":{"name":"Knowledge-Based Engineering and Sciences","volume":"124 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139132989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Binder-Based Remediation of Heavy Metal Contaminated Soils: A Review of Solidification/Stabilization Methods","authors":"Mehvish Bilal, Ammar Mohammed Alshammari, Aaqib Ali","doi":"10.51526/kbes.2023.4.3.17-34","DOIUrl":"https://doi.org/10.51526/kbes.2023.4.3.17-34","url":null,"abstract":"Heavy metal contaminants are posing serious threats to the ecosystem and human beings. Such contaminants are produced by different human activities, including industry, farming, and mining. Treatment of heavy metal contaminants must be implemented by regulatory bodies to preserve the environment. Due to the stable form of metal contaminants, the solidification and stabilization treatment method is a proven technique to decrease the harm and stability of these pollutants. Stabilization can be achieved chemically using binders or mechanically by controlling the drainage conditions of contaminated land. Different binders to stabilize heavy metals are proposed in the literature, including Portland cement, calcium oxide, and fly ash. It is very important to classify stabilization binders based on their chemical class as organic or inorganic. Such classification facilitates a better evaluation of the binder efficiency with different metal contaminants. The current study provides an overall review of the different types of binders that can be used to stabilize the soil.","PeriodicalId":254108,"journal":{"name":"Knowledge-Based Engineering and Sciences","volume":"124 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139132999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Satellite Nighttime Light and Digital Elevation Data to Assess Urban Expansion in Floodplains of Dhaka City","authors":"Md Mahfuj Hosen, M. Hamed, Mohd Khairul Idlan Muhammad, Shamsuddin Shahid","doi":"10.51526/kbes.2023.4.3.51-64","DOIUrl":"https://doi.org/10.51526/kbes.2023.4.3.51-64","url":null,"abstract":"This study aims to evaluate the potential of DMSP/OLS nighttime light data to investigate human presence and activity in Dhaka City, Bangladesh. The study explores the sensor's ability to detect and monitor urban expansion patterns and human presence and activity at a regional scale. Thematic land cover maps revealed a rapid expansion of built-up areas within the 43-year study period, increasing from 35 km² in 1972 to 378 km² in 2015, representing a net gain of approximately 980% and an average annual growth rate of 6%. Notably, this growth rate was significantly higher in peripheral areas (2903% and a yearly expansion rate of 8%) compared to the central city area (Dhaka City Corporation) (460% and an annual expansion rate of 4%). This substantial urbanisation has primarily occurred in Dhaka's northern, northwestern, and southwestern sectors, transforming previously agricultural land, vegetation cover, wetlands, and water bodies. The findings demonstrate the utility of DMSP/OLS imagery for detecting human activities and presence in the Dhaka region, providing valuable insights into urban expansion patterns and their implications for environmental and social dynamics.","PeriodicalId":254108,"journal":{"name":"Knowledge-Based Engineering and Sciences","volume":"102 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139134986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interpretation the Influence of Hydrometeorological Variables on Soil Temperature Prediction Using the Potential of Deep Learning Model","authors":"S. Elsayed, Meenu Gupta, Gopal Chaudhary, Soham Taneja, H. Gaur, M. Gad, Mohamed Hamdy Eid, Attila Kovács, Szűcs Péter, A. Gaagai, U. Schmidhalter","doi":"10.51526/kbes.2023.4.1.55-77","DOIUrl":"https://doi.org/10.51526/kbes.2023.4.1.55-77","url":null,"abstract":"The importance of soil temperature (ST) quantification can contribute to diverse ecological modelling processes as well as for agricultural activities. Over the literature, it was evident that soil supports more than 95% of living habitats and food production on earth, and this demand will increase to 500 years’ times in expected consumption in 2060. This paper aims to analyses the contrastive approach to predict the ST of a certain region with the help of different machine learning models, including Random Forest (RF), Support Vector, Neural Network (NN), Linear Regression (LR) and Long Short-Term Memory Network (LSTM). The study was utilized the hourly humidity, dew point, rainfall, solar radiation, and barometer readings for the formulation of the models. Various performance criteria were employed to evaluate the prediction skills of the models and the results depicted that the promising ability belong to LSTM despite the acceptable prediction accuracy achieved by other models. The modelling outcomes revealed that LSTM model attained the lowest root mean square error (RMSE = 3.3255) decreased the average prediction error by 6% with regards to NN (RMSE = 3.4796), SVM (RMSE = 3.5766), and RF (RMSE = 3.8128), and improved the prediction accuracy of LR by 15%. The model is in compliance with the latest machine learning industry standards and allows low-cost experimental performances on low powered edge computing devices.","PeriodicalId":254108,"journal":{"name":"Knowledge-Based Engineering and Sciences","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124997865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling fire station establishment of industrial area using geo-spatial science","authors":"Dr. Jatisankar Bandyopadhyay, Dipankar Karar","doi":"10.51526/kbes.2023.4.1.19-36","DOIUrl":"https://doi.org/10.51526/kbes.2023.4.1.19-36","url":null,"abstract":"Fire stations have to be situated carefully; in an emergency situation, the fire department should be able to reach its destination within time. The study exasperated to integrate Analytical Hierarchy Process (AHP) with Weighted Overlay analysis (WOA) in GIS to present a model for fire station location planning. The case study is carried out in the Asansol Sadar Subdivision of Paschim Bardhaman District, West Bengal, India. The study shows that there are 364.569 km2 of High-Risk Areas (most congested Settlements, industrial areas, and Coal Mining), 59.62 km2 of Moderate Risk, and 422.348 km2 of Low Risk. The results of this research introduce five sites that are most appropriate for establishing the new stations, which cover all the areas based on the fire response time, rules, and regulations. This analytical process considered densely populated shares of the cities and also the industrial neighborhoods in the Jamuria, Kulti – Barakar, Burnpur, Chittaranjan, and Churulia as mostly suitable zones for the new fire departments. The major advantages of the new proposed sites are accessibility to the accident-prone areas as per response time, setting in the most populated area of the zone, and the high potential for interventions, which can reduce the risk and loss of life and wealth.","PeriodicalId":254108,"journal":{"name":"Knowledge-Based Engineering and Sciences","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127833446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proposition on the Redesigning Outdoor Guidance Systems on Campus: A Case Study of Southwest Minzu University Aeroport Campus in Southwest China","authors":"Yirui Hei, S. S. Suhaily, Jinming Wu, Chenlei Yuan, Haojiang Guo","doi":"10.51526/kbes.2022.3.2.52-65","DOIUrl":"https://doi.org/10.51526/kbes.2022.3.2.52-65","url":null,"abstract":"This research was established to assess the campus guidance system design of Southwest Minzu University. Using the classification method of guidance systems, this campus outdoor was divided into three levels of systems: general guidance signs, area guidance signs, and induced guidance signs. Then after. it was divided into pedestrian guidance systems and vehicle guidance systems from different users and uses the methods of fixed-point photography and field research for data collection and analysis. Through realistic logical classification and scientific research, a standardized and systematic logic of the campus outdoor guidance system was formed. Finally, the form, color, and pattern of the system were designed according to the characteristics of SWMU. The combination of rigorous logic and characteristics is a design approach that can be used as a model for other university campuses","PeriodicalId":254108,"journal":{"name":"Knowledge-Based Engineering and Sciences","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121152799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical Investigation of the Flexural Performance of Slender CFST Beams with Varied Shapes of External Stiffeners","authors":"Muhammad Zulhaiqal Othman, Ahmed W. Al Zand","doi":"10.51526/kbes.2022.3.2.1-17","DOIUrl":"https://doi.org/10.51526/kbes.2022.3.2.1-17","url":null,"abstract":"The concrete-filled steel tube (CFST) beams are recommended for adopting in the modern composite structure since it achieves a higher load capacity and ductility behaviour than the conventional structural members. Using CFST beams with slender steel cross-section led to reduce the overall cost of the structures compared to those with compact cross-sections; however, it is more likable to buckle under the compression stress. Therefore, providing external stiffeners along the four sides of CFST beams expected to reduce the overall self-weight also can provide more stiffening to the steel’s section that led to improve the loading capacity. In this study, a finite element (FE) method was adopted for numerically investigated the flexural performance of the square CFST beams stiffened with different shapes of external grooves that provided along the beam’s sides. The FE software named ABAQUS was adopted for this purpose where the original model of CFST beam analysed and verified with the corresponding tested specimen. After that, additional CFST model have been built and analysed to investigate further parameters including the effects of varied tube’s thickness, steel yielding strength, concrete compressive strength and different external grooves shape (V-shaped, U-shaped, C-shaped, double V-shaped). The results established from the numerical analyses showed that the ultimate bending capacity (Mu) of the stiffened CFST models was generally enhanced by increasing their concrete strength, steel yield strength and tube’s thickness but in varied percentages. For example, increasing the tube thickness from 1.5 mm to 3.0 mm achieved an improvement in Mu values of about 72.3%. while fewer improvement percentages have been recorded of about 11.9% when only the core concrete strength increased from 25 MPa to 55 MPa. Furthermore, the shape and number of grooves have positive impact on the bending capacity of stiffened CFST models, where using U-shape, C-shape and V-shape external grooves were led to improve the Mu value of about 2.8%, 10.7%, and 11.1%, respectively. Thus, the energy absorption of these models was improved accordingly.","PeriodicalId":254108,"journal":{"name":"Knowledge-Based Engineering and Sciences","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129797699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flexural Behavior of Concrete-Filled Double-Skin Hexagonal Tubular Beams Using Finite Element Analysis","authors":"Zul Hakeem Mazlan, Ahmed W. Al Zand","doi":"10.51526/kbes.2022.3.2.18-35","DOIUrl":"https://doi.org/10.51526/kbes.2022.3.2.18-35","url":null,"abstract":"The Concete-Filled Double Steel Tube (CFDST) members usually prepared from Concrete-Filled Steel Tube (CFST) member with additional internal steel tube, in order to increase strength and reduce the selfweight of the composite member. The  conventional square cross-sections are usually used for the CFDST beams. However, these sectionsthis square section are usually facing an outward buckling failure at the compression zone stress that usually occurred at the top flange of the CFDST beams under high bending loads. Additionally, using cross-section shapes with hexagonal and/or octagonal and/or decagonal could be to reduce the flatness width of the CFDST beam’s top flangem since they have smaller flatness width of their flanges than the square/rectangular tube’s cross section. Therefore, the aim of this research is to numerically study the flexural behavior of CFDST beam with hexagonal tubular cross-section under pure bending static loads by using finite element (FE) software named ABAQUS. First, the FE model was devloped and verified with the rated experimental tested results, then devloped and analysed additional models of hexagonal CFDST beams to investigate further parameters that not yet been investiated. Generally  a total of 19 hexagonal CFDST models were analysed for this project to investigate the influnce of varied tube’s thickness (t), steel yielding strength (fy), concrete strength (fcu), inner to outer tube’s dimensions ratio (Di/Do), and different inner tube’s cross-sections shape (hexagon, square and circle). The result of the paper showed that by using double steel tube for the beam, the failure due to outward buckling can be reduced significantly. The ultimate bending capacity of the hexagon CFDST models were increased with increases of their steel/concrete strength, tube’s thickness and Di/Do  ratio. For example, increasing the tube thickness from 1.5 mm 2.5 mm achieved an improvement in Mu values of about 41%. Meanwhile less improvement percentages was recorded when only the concrete strength increased. Furthermore, there are no much improvements have been recorded in the model’s bending capacity when used square or circle shape of inner tube’s cross-section the than the hexagonal shape. The energy absorption of the hexagon CFDST model have been improved according to the improvement of their loading strength capacities","PeriodicalId":254108,"journal":{"name":"Knowledge-Based Engineering and Sciences","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121498286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}