4 datasets found
  1. Daily mean wind speed in Hong Kong

    • opendata.esrichina.hk
    • hub.arcgis.com
    Updated Mar 21, 2024
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    Esri China (Hong Kong) Ltd. (2024). Daily mean wind speed in Hong Kong [Dataset]. https://opendata.esrichina.hk/maps/b350120e55a644f09463f2fe92f64543
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    Dataset updated
    Mar 21, 2024
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows Daily mean wind speed in Hong Kong.It is created by Hong Kong Observatory under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of CSDI Portal at https://portal.csdi.gov.hk.

  2. Site Wind Availability Data | DATA.GOV.HK

    • data.gov.hk
    Updated Dec 23, 2022
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    data.gov.hk (2022). Site Wind Availability Data | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-pland-pland1-site-wind-availability-data
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    Dataset updated
    Dec 23, 2022
    Dataset provided by
    data.gov.hk
    Description

    Site Wind Availability Data The multiple file formats are available for dataset download in API.

  3. f

    DataSheet1_Spatio–temporal evolution and factors of climate comfort for...

    • frontiersin.figshare.com
    • data.subak.org
    xlsx
    Updated Jun 2, 2023
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    Chunshan Zhou; Dahao Zhang; Yongwang Cao; Yunzhe Wang; Guojun Zhang (2023). DataSheet1_Spatio–temporal evolution and factors of climate comfort for urban human settlements in the Guangdong–Hong Kong–Macau Greater Bay Area.xlsx [Dataset]. http://doi.org/10.3389/fenvs.2022.1001064.s001
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    xlsxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Chunshan Zhou; Dahao Zhang; Yongwang Cao; Yunzhe Wang; Guojun Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study used both temperature-humidity and wind efficiency indices at three time-scale resolutions (year, season, and month) for the first time, to analyze the spatio–temporal evolution of urban climate comfort in the Guangdong–Hong Kong–Macau Greater Bay Area (GBA). The main factors affecting human-settlement climate comfort were elucidated and the annual changes in both indices used in the study area exhibited fluctuating growth from 2005 to 2020. Moreover, the annual growth of the temperature-humidity and wind efficiency indices in the southern cities of the GBA was relatively fast. In contrast, the annual growth of these indices in the northern cities of the GBA was relatively slow. Overall, the climate of the human-settlement environments in the GBA was the most comfortable in spring and autumn, and summer and winter were characterized by hot and cold climate conditions, respectively. We did not identify any prominent change in the climate comfort of spring and autumn from 2005 to 2020; however, the climate comfort degree deteriorated in summer and ameliorated in winter. On a monthly scale, the human-settlement environments in the GBA were the coldest in December and the hottest in July. The urban human settlements were cold in January and February, hot in May, June, August, and September, and the most comfortable in March, April, October, and November in 2020. We analyzed the factors affecting the climate comfort of human-settlement environments in the study area and found that elevation, gross industrial production, population scale, and construction land area were the most influential parameters. Notably, the impact of natural factors on the climate comfort of human-settlement environments was more significant than that of anthropogenic factors. Moreover, the related factors affected the temperature-humidity index more strongly than the wind efficiency index. Overall, our results provide data-driven guidelines for improving the climate comfort of urban human settlements in the GBA.

  4. 每日平均风速

    • data.gov.hk
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    data.gov.hk, 每日平均风速 [Dataset]. https://data.gov.hk/sc-data/dataset/hk-hko-rss-daily-mean-wind-speed
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    Dataset provided by
    資料一線通
    Description

    每日平均风速资料(请到参考连结查看其他气侯资料)。可于数据集API中下载多种文件格式。

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Esri China (Hong Kong) Ltd. (2024). Daily mean wind speed in Hong Kong [Dataset]. https://opendata.esrichina.hk/maps/b350120e55a644f09463f2fe92f64543
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Daily mean wind speed in Hong Kong

Explore at:
Dataset updated
Mar 21, 2024
Dataset provided by
Esrihttp://esri.com/
Authors
Esri China (Hong Kong) Ltd.
Area covered
Description

This web map shows Daily mean wind speed in Hong Kong.It is created by Hong Kong Observatory under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of CSDI Portal at https://portal.csdi.gov.hk.

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