3 results
Search Results
2. Vertical Wind Speed Variation in a Metropolitan City in South China.
- Author
-
Wu, Yueyuan, Li, Qinglan, Li, Guangxin, He, Bing, Dong, Lin, Lan, Haining, Zhang, Lijie, Chen, Shenpeng, and Tang, Xiaoxin
- Subjects
WIND speed ,URBAN heat islands ,LEAST squares ,EXPONENTIAL functions ,CITIES & towns - Abstract
Severe wind with high altitudes may threaten the safety of the metropolitan city. This study investigates the relationship between the variation of vertical wind speeds (including 10 min average wind speed (avg‐wind) and 3 s average wind speed (gust wind)) and the height changes in Shenzhen, based on the hourly wind speeds observed on the Shenzhen Meteorological Gradient Tower, Ping An Building, and in the Central Park. The samples are grouped according to the wind speeds. The power law and least square fitting methods are used to obtain the Hellman coefficient value for each group. We find that the fitted Hellman coefficients for both gust wind and avg‐wind are subject to the exponential decay function. When the winds reach their corresponding high percentile level, that is, around 80% of the wind record, the Hellman coefficients almost keep constant. The Hellman coefficient is generally higher over the urban area than that over the rural area. Over the urban area, the Hellman coefficient is with the range of 0.49 ∼ 0.169 for gust wind and 0.64 ∼ 0.327 for the avg‐wind; while over the rural area, the Hellman coefficient is with the range of 0.33 ∼ 0.077 for gust wind and 0.49 ∼ 0.153 for the avg‐wind. There is an apparent diurnal variation of the Hellman coefficient, which is lower during the daytime and higher during nighttime. The monthly variation of the Hellman coefficient over the urban area is not evident, mainly due to the city's climate condition and urban heat island. Plain Language Summary: The value of the Hellman coefficient usually decreases with the increase of the wind speed. The fitted Hellman coefficients for both gust wind and avg‐wind are subject to the exponential decay function. When the winds reach their corresponding high percentile level, that is, around 80% of the wind record, the Hellman coefficients almost keep constant. Key Points: The Hellman coefficient decreases with increased wind speed for a certain topography area, subject to the exponential decay functionWhen the wind reaches its high percentile level for a certain topography area, the Hellman coefficients almost keep constantThe monthly variation of the Hellman coefficient is not apparent over the urban area in Shenzhen due to the urban heat island and its climate [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
3. Investigating seasonal color change in the environment by color analysis and information visualization.
- Author
-
Yang, Muhe
- Subjects
ANALYSIS of colors ,DATA visualization ,COLORS ,VISUAL environment ,LANDSCAPE design ,COLOR in design ,ECOLOGY ,COLOR - Abstract
Color, as one of the most important dimensions of vision, plays a key role in place identity and people's experience in the environment. This study aims to investigate people's visual experience of seasonal color change in the environment, and proposes an approach for analyzing and communicating environmental colors by combining color analysis and information visualization. Employing crowdsourced Flickr photos, the approach is tested in four gardens: the Humble Administrator's Garden, Ryoanji, the Garden of Versailles, and Central Park in New York. The results show direct comparisons of seasonal color change patterns in different environments, and reflect characteristics of the environments as well as people's experience of color during the four seasons. The primary contribution of this study is to provide a way of communicating colors in landscape design and color research. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.