Analysis of Extreme Weather in Three Northeastern Provinces Based on Big Data

DOI

10.2991/978-94-6463-064-0_88How to use a DOI?

Keywords

Extreme weather; meteorological disasters; Northeast China; Big Data analysis; Distributed processing; Proactive and accurate decision-making

Abstract

In recent years, with the aggravation of global climate change, extreme weather events occur frequently in the three northeastern provinces. Using the data of meteorological stations in Northeast China from 1960 to 2010 for more than 50 years, the occurrence regularity of common extreme weather phenomena is discussed. The results show that the occurrence frequency, harm degree and uncertainty of major meteorological disasters in the three provinces of northeast China are increasing. The paper also provides suggestions for accurate decision-making of relevant meteorological departments.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Hong Yue
PY  - 2022
DA  - 2022/12/27
TI  - Analysis of Extreme Weather in Three Northeastern Provinces Based on Big Data
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 865
EP  - 873
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_88
DO  - 10.2991/978-94-6463-064-0_88
ID  - Yue2022
ER  -