Proceedings Paper
Numerical simulation analysis of the valley wind of the Mount Huangshan based on Noah and MYJ scheme| Format | Member Price | Non-Member Price |
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Paper Abstract
The Noah and MYJ scheme are used to simulate the analysis of Huangshan valley wind in mesoscale numerical model. The valley wind evolution, formation mechanism and the influence are analyzed. The results of model simulation reveals that the wind direction changes with the alternation of day and night in Mount Huangshan area.The valley wind circulation plays an important role in the balance of heat in mountain areas. Therefore, according to the law of wind transformation and related features of the valley wind, the emission of pollutants can be controlled to reduce the pollution of the atmospheric environment.
Paper Details
Date Published: 1 September 2017
PDF: 17 pages
Proc. SPIE 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV, 1040513 (1 September 2017); doi: 10.1117/12.2273374
Published in SPIE Proceedings Vol. 10405:
Remote Sensing and Modeling of Ecosystems for Sustainability XIV
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)
PDF: 17 pages
Proc. SPIE 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV, 1040513 (1 September 2017); doi: 10.1117/12.2273374
Show Author Affiliations
Zhenxiang Shen, East China Normal Univ. (China)
Joint Lab. for Enviornmental Remote Sensing and Data Assimilation (China)
ECNU-CSU Joint Research Institute for New Energy and the Environment (China)
Chaoshun Liu, East China Normal Univ. (China)
Joint Lab. for Enviornmental Remote Sensing and Data Assimilation (China)
ECNU-CSU Joint Research Institute for New Energy and the Environment (China)
Joint Lab. for Enviornmental Remote Sensing and Data Assimilation (China)
ECNU-CSU Joint Research Institute for New Energy and the Environment (China)
Chaoshun Liu, East China Normal Univ. (China)
Joint Lab. for Enviornmental Remote Sensing and Data Assimilation (China)
ECNU-CSU Joint Research Institute for New Energy and the Environment (China)
Wei Gao, East China Normal Univ. (China)
Joint Lab. for Enviornmental Remote Sensing and Data Assimilation (China)
ECNU-CSU Joint Research Institute for New Energy and the Environment (China)
Yan Chen, Shanghai Shixi High School (China)
Joint Lab. for Enviornmental Remote Sensing and Data Assimilation (China)
ECNU-CSU Joint Research Institute for New Energy and the Environment (China)
Yan Chen, Shanghai Shixi High School (China)
Published in SPIE Proceedings Vol. 10405:
Remote Sensing and Modeling of Ecosystems for Sustainability XIV
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)
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