Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)

Business Exploration in Meteorological Disaster Risk Management Based on Big Data

Authors
Xiaolei Chen
Corresponding Author
Xiaolei Chen
Available Online November 2019.
DOI
https://doi.org/10.2991/dramclr-19.2019.7How to use a DOI?
Keywords
meteorological disaster, big data, risk management, application exploration
Abstract
Based on the needs of supporting business in meteorological disaster risk management, this article firstly analyze the characteristics of big data and the connotation of meteorological big data, and clarifies the concept of the big data for meteorological disaster defense, which are composed of five major types of data such as disaster situation. We also explore how to apply artificial intelligence, experience method, screening method and other technical methods to expand the construction of big data for meteorological disaster defense. Then, we summarized the practical experience of using big data in meteorological disaster monitoring and evaluation, meteorological disaster risk zoning, meteorological disaster risk forecasting and early warning, risk management business system construction, etc. A future development is proposed.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Xiaolei Chen
PY  - 2019/11
DA  - 2019/11
TI  - Business Exploration in Meteorological Disaster Risk Management Based on Big Data
BT  - Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)
PB  - Atlantis Press
SP  - 209
EP  - 212
SN  - 1951-6851
UR  - https://doi.org/10.2991/dramclr-19.2019.7
DO  - https://doi.org/10.2991/dramclr-19.2019.7
ID  - Chen2019/11
ER  -