Volume 45 Issue 8
Aug.  2020
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LIU Jiping, LIU Mengmeng, XU Shenghua, DU Qingyun, ZHU Jun, ZHU Xiuli. A Survey on Integrated and Comprehensive Disaster Reduction Technology in the Era of Big Dat[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1107-1116. DOI: 10.13203/j.whugis20200108
Citation: LIU Jiping, LIU Mengmeng, XU Shenghua, DU Qingyun, ZHU Jun, ZHU Xiuli. A Survey on Integrated and Comprehensive Disaster Reduction Technology in the Era of Big Dat[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1107-1116. DOI: 10.13203/j.whugis20200108
shu

A Survey on Integrated and Comprehensive Disaster Reduction Technology in the Era of Big Dat

  • 1.

    Chinese Academy of Surveying and Mapping, Beijing 100830, China

  • 2.

    School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

  • 3.

    Faculty of Geosciences and Environmental Engineering of Southwest Jiaotong University, Chengdu 611756, China

  • 4.

    National Geomatics Center of China, Beijing 100830, China

  • 5.

    School of Mapping and Geographical Science, Liaoning Technical University, Fuxin 123000, China

Funds: 

The National Key Research and Development Program of China 2016YFC0803101

The National Key Research and Development Program of China 2016YFC0803108

the Basic Research Fund of CASM 7771701

More Information
  • Author Bio:

    LIU Jiping, PhD, professor, specializes in geospatial big data for government affairs, geographic information system services for government affairs, and emergency geographic information services.liujip@casm.ac.cn

  • Corresponding author:

    LIU Mengmeng, PhD candidate.liuflame123@gmail.com

  • Received Date: March 11, 2020
  • Published Date: August 04, 2020
    Graphical Abstract
    • Abstract
  •   Objectives   China is one of the countries with the most severe natural disasters in the world. There are many types of natural disasters and high frequency of disasters. It often causes huge economic losses and casualties in the disaster area. Combining the key technologies of the internet of things(IOT), the Internet, and geographic information for surveying and mapping, so it is possible to grasp the disaster situation in a timely and efficient manner. Thereby we could scientifically and effectively formulate disaster prevention and mitigation strategies, and implement emergency rescue measures, which are of great significance to the safety of people’s lives and property.
      Methods   The development of big data and disaster reduction technologies has brought new possibilities for disaster management and emergency response. Geographic information big data provides basic support for emergency rapid response, location and navigation big data provides location information of personnel and materials for emergency rescue. Two- and three-dimensional visualization technology more realistically restores the disaster environment, and disaster models scientifically simulate the process of disaster occurrence, internet public opinion big data in disaster assessment also plays an important role. Big data is profoundly changing emergency rescue and disaster management with its ability to visualize, analyze and predict disasters. The combination of disaster big data and surveying and mapping geographic information technology has become an important means to improve disaster prevention and mitigation capabilities.
      Results   We analyze and summary the integrated and comprehensive disaster reduction technology in the context of big data. The characteristics of integrated and comprehensive disaster reduction technology are elaborated, including comprehensive and thorough perception, broadband ubiquitous interconnection, precise and fast integration, ubiquitous positioning, efficient and intelligent processing, and intelligent collaborative services. The progress of integrated comprehensive disaster reduction technology is reviewed, which includes indoor and outdoor high-precision integrated positioning, rapid integration of multi-source data, scene fusion and enhanced visualization, typical disaster model construction and management, integrated disaster reduction comprehensive services, and China’s disaster reduction service system platform. In addition, we introduced the integrated comprehensive disaster reduction intelligent service system platform, APP and its application services, and summarized and prospected the integrated comprehensive disaster reduction technology and services.
      Conclusions   The continuous development of big data technology provides new ideas and methods for people to analyze and solve emergency response problems, and provides a very convenient way for the sharing, integration, analysis, mining, and decision-making of comprehensive disaster reduction services. However, with the in-depth application of new concepts, new technologies, and new methods such as "Internet +", IoT, cloud computing, artificial intelligence, and mobile communications in the field of comprehensive disaster reduction, the means of acquisition, transmission efficiency, application deployment methods, and services of comprehensive disaster reduction data Modes, data production and processing methods, target users, etc. have undergone profound changes. This leads to the characteristics of crowd sourced disaster data acquisition, diversified data storage models, and comprehensive analysis services, which brings new opportunities and challenges to the development of integrated disaster reduction services.
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    • References (53)
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