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Wyszukujesz frazę "Wang, Tong" wg kryterium: Autor


Wyświetlanie 1-5 z 5
Tytuł:
The Effectiveness of Master Plans: Case Studies of Biologically Active Areas in Suburban Zones
Autorzy:
Błasik, Magdalena
Wang, Tong
Kazak, Jan K.
Powiązania:
https://bibliotekanauki.pl/articles/2105520.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
master plan
spatial planning
effectiveness
suburban zone
Opis:
Sustainable development on a local scale requires well-functioning instruments in the spatial planning system. Any weakness in the planning system may result in forms of spatial development that are socially, environmentally or economically disadvantageous. Therefore, the aim of this study was to examine whether master plans and land development monitoring in the Polish system are effective instruments in shaping sustainable spatial development. The factor analyzed was the share of a biologically active area and four villages located near a regional city were analyzed. Data from master plans, cadaster and orthophoto maps were used in this study. Verification of land use made it possible to evaluate whether the properties meet the provisions of spatial planning documents. In each of the analyzed villages, properties that do not meet the provisions of master plans were identified. In one of the villages, more than half of the properties had a smaller share of biologically active areas than permitted by the local law. The research also analyzed alternative scenarios of the potential impact of the application of permanent vegetation on sealed surfaces. These results showed that using green roofs, for example, can significantly reduce the problem of local laws being broken. The results quantitatively confirm that the provision of master plans in the Polish system are not effective tools in regulating land development.
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 3; 27--40
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
CFD-predicted rotordynamic characteristics of a high temperature sodium liquid seal
Autorzy:
Wang, Tong
Chen, Pingwei
Ma, Wensheng
Yu, Guangbin
Powiązania:
https://bibliotekanauki.pl/articles/2086978.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
sodium liquid seal
multi-frequency whirling model
rotordynamic characteristics
CFD
Opis:
Rotordynamic characteristics of a high temperature sodium liquid (HTSL) seal were studied in this paper by using CFD software. Compared with the water liquid seal, the HTSL seal has a larger leakage flow rate and a lower drag power loss. The HTSL seal has a larger direct stiffness coefficient and the effective stiffness coefficient Keff is also larger than the water liquid seal, which means the HTSL seal has a better stiffness capacity. The HTSL seal possesses a positive effective damping coefficient Ceff in the whole whirling frequency range, which means better stability for the rotor system especially in high rotor speeds.
Źródło:
Journal of Theoretical and Applied Mechanics; 2022, 60, 3; 347--360
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Internal mechanism of asymmetric deformation and failure characteristics of the roof for longwall mining of a steeply dipping coal seam
Autorzy:
Luo, Shenghu
Wang, Tong
Wu, Yongping
Huangfu, Jingyu
Zhao, Huatao
Powiązania:
https://bibliotekanauki.pl/articles/1853910.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
odkształcenie
pokłady węgla
szyb kopalniany
steeply dipping seam
gangue
slip filling
deformation failure
main roof
angle effect
Opis:
Stability control of the roof is the key to safe and efficient mining of the longwall working face for a steeply dipping coal seam. In this study, a comprehensive analysis was performed on the roof destruction, migration, and filling characteristics of a steeply dipping longwall working face in an actual coalmine. Elastic foundation theory was used to construct a roof mechanics model; the effect of the coal seam inclination angle on the asymmetric deformation and failure of the roof under the constraint of an unbalanced gangue filling was considered. According to the model, increasing the coal seam angle, thickness of the immediate roof, and length of the working face as well as decreasing the thickness of the coal seam can increase the length of the contact area formed by the caving gangue in the lower area of the slope. Changes to the length of the contact area affect the forces and boundary conditions of the main roof. Increasing the coal seam angle reduces the deformation of the main roof, and the position of peak deflection migrates from the middle of the working face to the upper middle. Meanwhile, the position of the peak rotation angle migrates from the lower area of the working face to the upper area. The peak bending moment decreases continuously, and its position migrates from the headgate T-junction to the tailgate T-junction and then the middle of the working face. Field test results verified the rationality of the mechanics model. These findings reveal the effect of the inclination coal seam angle on roof deformation and failure and provide theoretical guidance for engineering practice.
Źródło:
Archives of Mining Sciences; 2021, 66, 1; 101-124
0860-7001
Pojawia się w:
Archives of Mining Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Data-driven temporal-spatial model for the prediction of AQI in Nanjin
Autorzy:
Zhao, Xuan
Song, Meichen
Liu, Anqi
Wang, Yiming
Wang, Tong
Cao, Jinde
Powiązania:
https://bibliotekanauki.pl/articles/1837414.pdf
Data publikacji:
2020
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
air quality prediction
k-Nearest Neighbor
BP neural network
non-monitoring stations
Opis:
Air quality data prediction in urban area is of great significance to control air pollution and protect the public health. The prediction of the air quality in the monitoring station is well studied in existing researches. However, air-quality-monitor stations are insufficient in most cities and the air quality varies from one place to another dramatically due to complex factors. A novel model is established in this paper to estimate and predict the Air Quality Index (AQI) of the areas without monitoring stations in Nanjing. The proposed model predicts AQI in a non-monitoring area both in temporal dimension and in spatial dimension respectively. The temporal dimension model is presented at first based on the enhanced k-Nearest Neighbor (KNN) algorithm to predict the AQI values among monitoring stations, the acceptability of the results achieves 92% for one-hour prediction. Meanwhile, in order to forecast the evolution of air quality in the spatial dimension, the method is utilized with the help of Back Propagation neural network (BP), which considers geographical distance. Furthermore, to improve the accuracy and adaptability of the spatial model, the similarity of topological structure is introduced. Especially, the temporal-spatial model is built and its adaptability is tested on a specific non-monitoring site, Jiulonghu Campus of Southeast University. The result demonstrates that the acceptability achieves 73.8% on average. The current paper provides strong evidence suggesting that the proposed non-parametric and data-driven approach for air quality forecasting provides promising results.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2020, 10, 4; 255-270
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A spatial study on Keshan disease prevalence and selenoprotein P in the Heilongjiang Province, China
Autorzy:
Wang, Yanan
Zhang, Xiao
Wang, Tong
Hou, Jie
Guo, Zhongying
Han, Xiaomin
Zhou, Huihui
Liang, Hong
Xing, Zhifeng
Powiązania:
https://bibliotekanauki.pl/articles/2095499.pdf
Data publikacji:
2021-09-03
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
prevalence
biomarker
prevention and control
endemic cardiomyopathy
selenoprotein P
spatial regression analysis
Opis:
ObjectivesFew spatial studies on Keshan disease (KD) prevalence and serum selenoprotein P (SELENOP) levels have been reported in the Heilongjiang Province, China. This study aimed to investigate the spatial relationships between KD prevalence, SELENOP levels, and the socio-economic status for the precise prevention and control of KD.Material and MethodsThe study was carried out in all the 66 KD endemic counties in the Heilongjiang Province using a non-probability sampling method of a key village survey based on county-wide case-searching. The participants completed a questionnaire and had their serum SELENOP levels measured using enzyme-linked immunosorbent assay. Thematic maps were created, and spatial regression analysis was performed by ordinary least squares using ArcGIS 9.0.ResultsOverall, 53 676 residents were surveyed based on case-searching, and blood samples were collected from 409 residents. In total, 50 chronic KD cases were identified with a total prevalence of 9.3/10 000 population. The prevalence in the Tangyuan County was the highest (250/10 000 population). The mean serum SELENOP level was 13.96 mg/l. The spatial regression analysis showed that KD prevalence positively correlated with SELENOP levels and negatively with per capita disposable income among rural residents.ConclusionsThe Tangyuan County should be considered for the precise prevention and control of KD. Further research is necessary to verify the reliability of SELENOP for estimating body selenium levels, and to better understand the relationship between selenium intake and KD in the investigated area.
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2021, 34, 5; 659-666
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-5 z 5

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