Typical Modes of the Wind Speed Diurnal Variation in Beijing Based on the Clustering Method
Wind speed is an important meteorological condition affecting the urban environment. Thus, analyzing the typical characteristics of the wind speed diurnal variation is helpful for forecasting pollutant diffusion. Based on the K-means clustering method, the diurnal variation characteristics of the wi...
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| Language: | English |
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Frontiers Media S.A.
2021-06-01
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| Series: | Frontiers in Physics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2021.675922/full |
| _version_ | 1819085175697440768 |
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| author | Pengcheng Yan Pengcheng Yan Dongdong Zuo Ping Yang Suosuo Li |
| author_facet | Pengcheng Yan Pengcheng Yan Dongdong Zuo Ping Yang Suosuo Li |
| author_sort | Pengcheng Yan |
| collection | DOAJ |
| description | Wind speed is an important meteorological condition affecting the urban environment. Thus, analyzing the typical characteristics of the wind speed diurnal variation is helpful for forecasting pollutant diffusion. Based on the K-means clustering method, the diurnal variation characteristics of the wind speed in Beijing during 2008–2017 are studied, and the spatiotemporal characteristics of the wind speed diurnal variations are analyzed. The results show that there are mainly five to seven clusters of typical characteristics of the wind speed diurnal variation at different stations in Beijing, and the number of clusters near the city is smaller than that in the suburbs. The typical number of the wind speed diurnal variation during 2013–2015 is smaller than that in other periods, which means the anomalous clusters of the diurnal variation are reduced. Besides, the numbers of different clusters in different years are often switched. Especially, the switch between clusters five and six and the switch between clusters six and seven are frequent. Based on the second cluster analysis of the clustering results at the Beijing station, we find 12 clusters of the diurnal variation, including nine clusters of “large in the daytime, while small at night,” two clusters of “monotonous,” and one cluster of “strong wind.” Furthermore, the low-speed clusters of wind mainly locate in the city with a significant increasing trend, while the high-speed clusters and the monotonous clusters of wind locate in the suburbs with a decreasing trend. |
| first_indexed | 2024-12-21T21:00:11Z |
| format | Article |
| id | doaj.art-4b5ac9228fd944fa993907ba5e182a23 |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-12-21T21:00:11Z |
| publishDate | 2021-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-4b5ac9228fd944fa993907ba5e182a232022-12-21T18:50:28ZengFrontiers Media S.A.Frontiers in Physics2296-424X2021-06-01910.3389/fphy.2021.675922675922Typical Modes of the Wind Speed Diurnal Variation in Beijing Based on the Clustering MethodPengcheng Yan0Pengcheng Yan1Dongdong Zuo2Ping Yang3Suosuo Li4Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province/Key Laboratory of Arid Climatic Change and Reducing Disaster of China Meteorological Administration, Institute of Arid Meteorology, China Meteorological Administration, Lanzhou, ChinaKey Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Chinese Academy of Sciences, Lanzhou, ChinaSchool of Mathematics and Physics, Yancheng Institute of Technology, Yancheng, ChinaChina Meteorological Administration Training Center, Beijing, ChinaKey Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Chinese Academy of Sciences, Lanzhou, ChinaWind speed is an important meteorological condition affecting the urban environment. Thus, analyzing the typical characteristics of the wind speed diurnal variation is helpful for forecasting pollutant diffusion. Based on the K-means clustering method, the diurnal variation characteristics of the wind speed in Beijing during 2008–2017 are studied, and the spatiotemporal characteristics of the wind speed diurnal variations are analyzed. The results show that there are mainly five to seven clusters of typical characteristics of the wind speed diurnal variation at different stations in Beijing, and the number of clusters near the city is smaller than that in the suburbs. The typical number of the wind speed diurnal variation during 2013–2015 is smaller than that in other periods, which means the anomalous clusters of the diurnal variation are reduced. Besides, the numbers of different clusters in different years are often switched. Especially, the switch between clusters five and six and the switch between clusters six and seven are frequent. Based on the second cluster analysis of the clustering results at the Beijing station, we find 12 clusters of the diurnal variation, including nine clusters of “large in the daytime, while small at night,” two clusters of “monotonous,” and one cluster of “strong wind.” Furthermore, the low-speed clusters of wind mainly locate in the city with a significant increasing trend, while the high-speed clusters and the monotonous clusters of wind locate in the suburbs with a decreasing trend.https://www.frontiersin.org/articles/10.3389/fphy.2021.675922/fulldiurnal variation of wind speedtypical wind modesK-meansclustering methodsecond clustering |
| spellingShingle | Pengcheng Yan Pengcheng Yan Dongdong Zuo Ping Yang Suosuo Li Typical Modes of the Wind Speed Diurnal Variation in Beijing Based on the Clustering Method Frontiers in Physics diurnal variation of wind speed typical wind modes K-means clustering method second clustering |
| title | Typical Modes of the Wind Speed Diurnal Variation in Beijing Based on the Clustering Method |
| title_full | Typical Modes of the Wind Speed Diurnal Variation in Beijing Based on the Clustering Method |
| title_fullStr | Typical Modes of the Wind Speed Diurnal Variation in Beijing Based on the Clustering Method |
| title_full_unstemmed | Typical Modes of the Wind Speed Diurnal Variation in Beijing Based on the Clustering Method |
| title_short | Typical Modes of the Wind Speed Diurnal Variation in Beijing Based on the Clustering Method |
| title_sort | typical modes of the wind speed diurnal variation in beijing based on the clustering method |
| topic | diurnal variation of wind speed typical wind modes K-means clustering method second clustering |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2021.675922/full |
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