CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method
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| Publicado en: | Atmosphere vol. 10, no. 6 (Jun 2019), p. n/a |
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| Autor principal: | |
| Otros Autores: | , , , , , , |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 001 | 2306604643 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2073-4433 | ||
| 024 | 7 | |a 10.3390/atmos10060326 |2 doi | |
| 035 | |a 2306604643 | ||
| 045 | 2 | |b d20190601 |b d20190630 | |
| 084 | |a 231428 |2 nlm | ||
| 100 | 1 | |a Li, Mengxi | |
| 245 | 1 | |a CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method | |
| 260 | |b MDPI AG |c Jun 2019 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The urban wind environment is an important element of urban microclimates and plays an important role in the quality of the urban environment. The computational fluid dynamics (CFD) simulation method is an important means for urban wind field research. However, CFD simulation has high requirements for computer hardware and software. In this paper, based on geographic information system (GIS) technology, a new building data generalization method was developed to solve the problems of a huge amount of data and calculations in urban-scale CFD wind field simulations. Using Fluent software and high-precision urban building geographic information data with elevation attributes, the method was applied to Jinjiang City, Fujian Province, China. A CFD simulation of the wind field of Jinjiang City was implemented, and detailed, intuitive wind field information was obtained, which were compared with the measured data. The results show that the building data generalization method could effectively improve the efficiency of the city's overall wind field CFD simulation. The simulated wind speed was significantly correlated with the measured data, but it was overestimated. The simulated wind direction was consistent with the measured data of most stations. The simulation results were reasonable and could provide reference for application and subsequent research. | |
| 610 | 4 | |a Fluent Inc | |
| 651 | 4 | |a United States--US | |
| 651 | 4 | |a China | |
| 653 | |a Wind direction | ||
| 653 | |a Elevation | ||
| 653 | |a Heat | ||
| 653 | |a Computer applications | ||
| 653 | |a Simulation | ||
| 653 | |a Test methods | ||
| 653 | |a Computer simulation | ||
| 653 | |a Construction | ||
| 653 | |a Studies | ||
| 653 | |a Wind speed | ||
| 653 | |a Geographic information systems | ||
| 653 | |a Fluid dynamics | ||
| 653 | |a Software | ||
| 653 | |a Information systems | ||
| 653 | |a Urban environments | ||
| 653 | |a Microclimate | ||
| 653 | |a Weather forecasting | ||
| 653 | |a Ventilation | ||
| 653 | |a Computer programs | ||
| 653 | |a Wind | ||
| 653 | |a Atmospheric boundary layer | ||
| 653 | |a Data | ||
| 653 | |a Computational fluid dynamics | ||
| 653 | |a Urban microclimates | ||
| 653 | |a Information science | ||
| 653 | |a Correlation analysis | ||
| 653 | |a Architecture | ||
| 653 | |a Geographical information systems | ||
| 653 | |a Hydrodynamics | ||
| 653 | |a Urban areas | ||
| 653 | |a Remote sensing | ||
| 700 | 1 | |a Qiu, Xinfa | |
| 700 | 1 | |a Shen, Juanjun | |
| 700 | 1 | |a Xu, Jinqin | |
| 700 | 1 | |a Feng, Bo | |
| 700 | 1 | |a He, Yongjian | |
| 700 | 1 | |a Shi, Guoping | |
| 700 | 1 | |a Zhu, Xiaochen | |
| 773 | 0 | |t Atmosphere |g vol. 10, no. 6 (Jun 2019), p. n/a | |
| 786 | 0 | |d ProQuest |t Publicly Available Content Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2306604643/abstract/embedded/CH9WPLCLQHQD1J4S?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/2306604643/fulltext/embedded/CH9WPLCLQHQD1J4S?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2306604643/fulltextPDF/embedded/CH9WPLCLQHQD1J4S?source=fedsrch |