Article
Chemistry, Multidisciplinary
Mohsen Beigi, Mehdi Torki, Hossein Safarinia, Mohammad Kaveh, Mariusz Szymanek, Esmail Khalife, Agata Dziwulska-Hunek
Summary: This study models almond nut production using artificial neural networks and adaptive neuro-fuzzy inference systems, predicting the relationship between nut yield and energy inputs, and evaluating greenhouse gas emissions. The results demonstrate that artificial neural networks are more accurate in predicting almond nut yield and identify electricity as the main contributor to greenhouse gas emissions.
APPLIED SCIENCES-BASEL
(2022)
Article
Thermodynamics
Kamel Bousnina, Anis Hamza, Noureddine Ben Yahia
Summary: Population growth and economic development contribute to increasing global energy consumption. This study examines the impact of strategies, machining sequences, and cutting parameters on surface quality, machining cost, and energy consumption using artificial intelligence. The results show that optimizing neural architecture and using multi-criteria output response can improve efficiency and reduce costs.
ADVANCES IN MECHANICAL ENGINEERING
(2023)
Article
Agronomy
Annette van Oystaeyen, Ella Tuyttens, Sten Boonen, Lien De Smedt, Stijn Bellinkx, Felix Wackers, Apostolos Pekas
Summary: This study assessed the potential of two predatory hoverflies, Eupeodes corollae and Sphaerophoria rueppellii, for delivering concurrent pollination and biological control in greenhouse strawberries. The results showed that both hoverfly species effectively pollinated the strawberry flowers and reduced fruit deformities, leading to an increase in high-quality marketable fruits and higher seed numbers per fruit. Additionally, they suppressed aphid populations in strawberry plants.
PEST MANAGEMENT SCIENCE
(2022)
Article
Multidisciplinary Sciences
Laura Lander, Tom Cleaver, Mohammad Ali Rajaeifar, Viet Nguyen-Tien, Robert J. R. Elliott, Oliver Heidrich, Emma Kendrick, Jacqueline Sophie Edge, Gregory Offer
Summary: The study presents a comprehensive techno-economic model to compare recycling locations and processes, providing a key tool for cost optimization in the global battery recycling economy. It shows that recycling can be economically viable, with profitability ranging depending on factors such as transport distances, wages, pack design, and recycling methods. In-country recycling is recommended to reduce emissions and transportation costs and ensure a secure materials supply chain.
Article
Engineering, Civil
Sami Ghordoyee Milan, Abbas Roozbahani, Naser Arya Azar, Saman Javadi
Summary: The study developed a predictive model based on machine learning, and combining ANFIS with HHO significantly improved the prediction accuracy of groundwater extraction amount. The results indicated that ANFIS-HHO performed well on test data and had better predictive accuracy compared to other algorithms.
JOURNAL OF HYDROLOGY
(2021)
Article
Chemistry, Multidisciplinary
Ebrahim Taghinezhad, Mohammad Kaveh, Antoni Szumny, Adam Figiel
Summary: The aim of this study is to mathematically model the response parameters and emission of greenhouse gases (GHG) and optimize the drying variables for a carrot dried with the microwave method using various pretreatments. The results indicated that the ultrasonication and blanching pretreatments can linearly or quadratically decrease drying time, energy consumption, color changes, and shrinkage, while linearly or quadratically enhance the effective moisture diffusion coefficient and energy efficiency.
APPLIED SCIENCES-BASEL
(2023)
Article
Green & Sustainable Science & Technology
Boqiang Lin, Lei Shi
Summary: Studying how to promote China's power generation structure from thermal power to renewable energy is of great significance. This study explores the influence mechanism of power generation structure by analyzing seasonal and periodic characteristics, making predictions using machine learning algorithms, and conducting single-factor sensitivity analysis and multi-factor scenario analysis.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Multidisciplinary Sciences
Adrian Foong, Prajal Pradhan, Oliver Froer, Juergen P. Kropp
Summary: Understanding emissions flow with trade is crucial for effective climate action. Trade-adjusted emission accounting can target producers, consumers, and traders more effectively. As food consumption moves away from producer regions, accounting for emissions embodied in trade becomes more important. The study finds that emissions are dependent on a country's consumption patterns and agricultural emission intensities relative to trading partners.
NATURE COMMUNICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Hamzah Ali Alkhazaleh, Navid Nahi, Mohammad Hossein Hashemian, Zohreh Nazem, Wameed Deyah Shamsi, Moncef L. Nehdi
Summary: This study proposes a novel hybrid method to predict thermal energy demand and compares it with two benchmark techniques. The optimized ANFIS model shows higher accuracy, making it suitable for early estimation of energy demand and more efficient building design.
Review
Construction & Building Technology
Daniela I. Quintana, Jose M. Cansino
Summary: This paper conducted a systematic literature review on residential energy consumption and identified the main policy measures recommended by the available literature. It found a lack of connection between scientific fields, with energy, engineering, and environmental science being the most prominent fields.
Article
Environmental Sciences
Saeed Solaymani, Grace Villamor, Andrew Dunningham, Peter Hall
Summary: The study examines the effects of forest plantation area, renewable energies, GDP, and technological innovation on CO2 emissions in New Zealand. It finds that planted forest areas can reduce CO2 emissions in the long run but not in the short run. Non-renewable energy consumption is the major contributor to CO2 emissions in both short and long term. Technological innovation and renewable energy consumption can reduce carbon emissions in the short term but contribute to increased CO2 emissions in the long term. The forest plantation areas in Manawatu-Whanganui and Gisborne are important regions for reducing CO2 emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Review
Green & Sustainable Science & Technology
Shaban R. S. Aldhshan, Khairul Nizam Abdul Maulud, Wan Shafrina Wan Mohd Jaafar, Othman A. Karim, Biswajeet Pradhan
Summary: This paper discusses global energy consumption and how GIS technology is used for spatial assessment of energy efficiency, focusing on the situation in Malaysia and exploring the application of various cutting-edge technologies in this field.
Article
Green & Sustainable Science & Technology
Jia Hui Ang, Yusri Yusup, Sheikh Ahmad Zaki, Ali Salehabadi, Mardiana Idayu Ahmad
Summary: Rapid population growth and urbanization have led to an increasing global energy demand, with the building sector accounting for a significant portion. This study analyzed the energy consumption and carbon emissions of elevator systems in low- and high-rise buildings. The findings indicated a positive correlation between daily and annual energy consumption of elevators, with annual energy consumption also affecting carbon emissions. Low-rise buildings demonstrated better energy efficiency compared to high-rise buildings.
Article
Construction & Building Technology
Dong Van Dao, Quynh-Anh Thi Bui, Dam Duc Nguyen, Indra Prakash, Son Hoang Trinh, Binh Thai Pham
Summary: In this study, machine learning models such as ANFIS-CA, ANFIS-DE, and ANFIS-IWO were used to estimate the Interlayer Shear Strength (ISS) of asphalt pavement based on input parameters like temperature, normal pressure, and aggregate diameter. Results showed that all the proposed models had high accuracy of prediction, with ANFIS-IWO performing slightly better than ANFIS-CA and ANFIS-DE.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Energy & Fuels
Qazeem Opeyemi Ogunlowo, Timothy Denen Akpenpuun, Wook Ho Na, Misbaudeen Aderemi Adesanya, Anis Rabiu, Prabhat Dutta, Hyeon-Tae Kim, Hyun-Woo Lee
Summary: This research develops models to predict greenhouse energy demand and strawberry yield, and validates the accuracy of these models. The findings provide a foundation for optimizing energy consumption in greenhouse environments.
Article
Environmental Sciences
Xuechao Qin, Limei Zhai, Benyamin Khoshnevisan, Junting Pan, Hongbin Liu
Summary: Although the utilization of biosolids in agricultural lands is considered effective in improving resource reuse, the presence of antibiotic resistance genes (ARGs) limits its application. A 12-year experiment found that biosolids application significantly increased the abundance of ARGs in soil, and the increase was positively correlated with the dose of biosolids applied. Several subtypes of ARGs were detected, with mobile genetic elements (MGEs), aminoglycoside, and multidrug resistance genes being the most dominant types. Controlling the rate of biosolid application is crucial in reducing the accumulation and transfer of ARGs in soils.
ENVIRONMENTAL POLLUTION
(2022)
Article
Engineering, Multidisciplinary
Ehsan Savand-Roumi, Seyed Saeid Mohtasebi, Shahin Rafiee, Hossein Ghanavati, Benyamin Khoshnevisan
Summary: This study focused on monitoring a biogas digester for food waste treatment using an e-nose system. The e-nose system and Principal Component Analysis (PCA) were utilized to monitor the gaseous headspace of the digester. By analyzing the e-nose data, the digester's feeding was controlled based on monitoring indices. The results showed that the digester maintained steady-state conditions and good performance, with high organic acid reduction, pH stabilization, and methane production.
Article
Green & Sustainable Science & Technology
Benyamin Khoshnevisan, Li He, Mingyi Xu, Borja Valverde-Perez, Jani Sillman, Georgia-Christina Mitraka, Panagiotis G. Kougias, Yifeng Zhang, Shuiping Yan, Long Ji, Michael Carbajales-Dale, Seyedeh Nashmin Elyasi, Hadis Marami, Panagiotis Tsapekos, Hongbin Liu, Irini Angelidaki
Summary: Concerns over food security and protein scarcity have prompted scientists to search for new protein sources. The first generation of microbial protein (MP) is not considered sustainable due to its reliance on natural gas and synthetic chemicals. Thus, researchers are focusing on the production of second generation MP, which integrates renewable energies and other technologies to improve sustainability.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Green & Sustainable Science & Technology
Salman Soltanian, Soteris A. Kalogirou, Meisam Ranjbari, Hamid Amiri, Omid Mahian, Benyamin Khoshnevisan, Tahereh Jafary, Abdul-Sattar Nizami, Vijai Kumar Gupta, Siavash Aghaei, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: The growing volume of municipal solid waste (MSW) generated worldwide often undergoes open dumping, landfilling, or uncontrolled burning, releasing massive pollutants and pathogens into the soil, water, and air. On the other hand, MSW can be used as a valuable feedstock in biological and thermochemical conversion processes to produce bioenergy carriers, biofuels, and biochemicals in line with the United Nations' Sustainable Development Goals (SDGs). Valorizing MSW using advanced technologies is highly energy-intensive and chemical consuming.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Engineering, Environmental
Hadis Marami, Panagiotis Tsapekos, Benyamin Khoshnevisan, Jeanette Agertved Madsen, Jacob Kragh Andersen, Shahin Rafiee, Irini Angelidaki
Summary: This study investigates the sustainability of a biorefinery platform based on a wastewater treatment plant, which integrates wastewater treatment with other biochemical processes for better sustainability performance. The platform shows great potential in terms of environmental performance, but technological improvements and incentives are needed to improve its economic performance.
WATER SCIENCE AND TECHNOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Shahin Rafiee, Zeinab Shabani, Benyamin Khoshnevisan, Barat Ghobadian, Amin Nasiri
Summary: This study investigated the effects of different BED blends on engine performance and emissions. It was found that ethanol content affected engine vibration and CO emissions, while biodiesel content influenced hydrocarbon and NOx emissions. A novel combination of ANFIS modeling and HBMO optimization method was proposed to find the optimal BED blend.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Shaopeng Wang, Shufang Guo, Limei Zhai, Lingling Hua, Benyamin Khoshnevisan, Hongyuan Wang, Hongbin Liu
Summary: Paddy fields-based cropping systems located in areas with dense water networks can cause pollution risks to surrounding water bodies due to nitrogen and phosphorous losses from rice paddy fields caused by runoff. However, research on establishing a low fertilizer input paddy-based cropping system with comprehensive management to reduce runoff losses of nitrogen and phosphorous is insufficient. A five-year field trial found that a rice-fava planting system can significantly reduce nitrogen and phosphorous runoff losses by selecting a rotation system and reducing chemical fertilizer input through manure application and straw returning, thus reducing the nitrogen and phosphorous surplus in the system. Additionally, it was observed that the runoff water in the early stage of rice growth, which has high concentrations of nitrogen and phosphorous, poses potential risks to the watershed.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Anqiang Chen, Dan Zhang, Hongyuan Wang, Rongyang Cui, Benyamin Khoshnevisan, Shufang Guo, Panlei Wang, Hongbin Liu
Summary: Nitrogen pollution from agricultural land is a major threat to shallow groundwater. While extensive research has been done on nitrogen losses through leaching and runoff, the soil nitrogen losses caused by fluctuating groundwater levels are often overlooked. This study found that soil nitrogen losses were mainly concentrated in the initial 12 days after flooding, followed by nitrogen immobilization, and eventually reached a balance between inflow and outflow after 50 days. Alterations between drying and flooding significantly increased nitrogen losses. Adjusting the planting structure is a key measure to reduce soil nitrogen storage and mitigate groundwater contamination.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Review
Agricultural Engineering
Farinaz Ebrahimian, Joeri F. M. Denayer, Ali Mohammadi, Benyamin Khoshnevisan, Keikhosro Karimi
Summary: The organic fraction of municipal solid waste (OFMSW) is a promising feedstock for biofuel production. However, inhibitory compounds from fruit and food/beverage wastes as well as lignocellulosic fractions hinder its bioconversion. This review provides the latest inhibitory compound removal and pretreatment techniques for efficient OFMSW conversion into biofuels and discusses their mode of action, consumption, feasibility, and sustainability. It also highlights the knowledge gap and future perspectives for OFMSW valorization, contributing to energy-resilient cities and addressing environmental crises.
BIORESOURCE TECHNOLOGY
(2023)
Article
Thermodynamics
Farinaz Ebrahimian, Benyamin Khoshnevisan, Ali Mohammadi, Keikhosro Karimi, Morten Birkved
Summary: This study aims to investigate the environmental impacts of different biorefinery platforms for biofuels production from organic fraction of municipal solid waste (OFMSW). The results demonstrate that the scenario including simultaneous dilute acid pretreatment and hydrolysis of OFMSW followed by ethanolic fermentation showed the best performance in all damage categories and had the lowest impact on human health.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Environmental Sciences
Benyamin Khoshnevisan, Erik Fog, Samin Baladi, Shealtiel William S. Chan, Morten Birkved
Summary: Finding sustainable proteinaceous feed ingredients is crucial for countries like Denmark to achieve feed protein self-sufficiency. Biorefining clover-grass into protein concentrate (GPC) is a promising alternative to soybean, but its environmental impacts have not been studied.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Editorial Material
Biotechnology & Applied Microbiology
Junting Pan, Yeqing Li, Benyamin Khoshnevisan
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Environmental Sciences
Tiezhu Yan, Pu Zhang, Qingyu Feng, Benyamin Khoshnevisan, Qiaoyu Sun, Huading Shi
Summary: This study investigates the anthropogenic phosphorus variations in the Ulansuhai Nur watershed using a Net Anthropogenic Phosphorus Input (NAPI) budget model. The results show an increasing trend in annual NAPI, mainly attributed to chemical P fertilizers and livestock breeding. There is a significant positive correlation between NAPI and riverine total phosphorus (TP) export. However, after 2009, riverine TP export decreases due to environmental treatment measures.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
S. Fayyaz, K. W. Lund, B. Khoshnevisan, E. S. Madsen, M. Birkved
Summary: This study presents a sustainable end-of-life value chain assessment framework for decommissioned wind turbine blades (WTBs) to address the challenge of increased volumes of WTBs reaching their end-of-life. Different scenarios of mechanical shredding, pyrolysis, and cement co-processing are investigated for their sustainability through material flow analysis, life cycle assessment, and techno-economic assessment. A multi-criteria decision-making method is proposed to evaluate the three end-of-life value chains.
WINDEUROPE ANNUAL EVENT 2023
(2023)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.
