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Study on Urban Microclimate Based on API System on the Background of Big Data: A Case Study of Beijing

Published: 24 October 2018 Publication History

Abstract

With the rapid development of data and information, API system provided massive data downloading platform for various industries, which provided opportunities and challenges for urban microclimate research. This paper briefly introduced the research and application status of related data of API system and utilization of various data. Taking Beijing as an example, the paper extracted and analyzed meteorological station data in the city area, including temperature, relative humidity, solar radiation, wind speed and pressure. Interpolation analysis was carried out on the ArcGIS platform to get the climate distribution characteristics in a certain day in summer. Then the paper analyzed influence of transportation infrastructure distribution density on temperature, relative humidity, wind speed and pressure, and proposed the correlation between transportation infrastructure and temperature and relative humidity and no correlation with pressure. The climate environment in the city were complex and the big data platform provided new ways and new ideas for the related research.

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  1. Study on Urban Microclimate Based on API System on the Background of Big Data: A Case Study of Beijing

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    cover image ACM Other conferences
    BDIOT '18: Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things
    October 2018
    217 pages
    ISBN:9781450365192
    DOI:10.1145/3289430
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Deakin University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 October 2018

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    Author Tags

    1. API data system
    2. Beijing
    3. city microclimate environment

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    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • 2018 Beijing municipal university Academic Human Resources Development-youth talent support program
    • Aknowledgement National Natural Science Foundation of China
    • Science and Technology Plans of Ministry of Housing and Urban-Rural Development of the People's Republic of China, and Opening Projects of Beijing Advanced Innovation Center for Future Urban Design, Beijing University of Civil Engineering and Architecture
    • North China University of Technology 'YuYOU' Talent training Program.

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    BDIOT 2018

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    Overall Acceptance Rate 75 of 136 submissions, 55%

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