Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)

Spatiotemporal Characterization and Hazard Assessment of Compound Extreme Events of Maize in Songliao Plain based on CEMI

Authors
Ziyuan Zhou1, Ying Guo1, Dan Chen1, Kaiwei Li3, Xiao Wei1, Zhi Feng1, *, Jiquan Zhang1, Chunli Zhao2, Zhijun Tong1, Xingpeng Liu1
1School of Environment, Northeast Normal University, Changchun, 130024, China
2College of Forestry and Grassland, Jilin Agricultural University, Changchun, 130118, China
3College of Agricultural, Anhui Science and Technology University, Chuzhou, 233100, China
*Corresponding author.
Corresponding Author
Zhi Feng
Available Online 4 January 2026.
DOI
10.2991/978-94-6463-946-9_14How to use a DOI?
Keywords
Drought; Waterlogging; Heat; Compound Extreme Events; Hazard
Abstract

Since global climate anomalies have led to a significant increase in extreme weather and climate events, including their intensity and spatial extent, it is particularly important to study extreme events to ensure agricultural production. First, in this study, the standardized precipitation requirement index (SPRI) and standardized temperature index (STI) were used to characterize agricultural drought and waterlogging and heat, respectively, and the compound drought and heat magnitude index (CDHMI) and compound waterlogging and heat magnitude index (CWHMI) were constructed by modeling the marginal distribution. Next, the occurrence patterns of identified compound drought and heat events (CDHEs) and compound waterlogging and heat events (CWHEs) were statistically analyzed. Finally, a hazard assessment model was constructed by fitting probability density curves. The results showed that CWHEs in the maize growing season in the Songliao Plain mainly occurred in the northern part of the study area, and CDHEs mainly occurred in the central and southern parts of the study area. The number of both CDHEs and CWHEs increased in most parts of the Songliao Plain. Higher hazard classes for CDHEs occur mainly in the middle of the maize reproductive period, while higher hazard classes for CWHEs occur mainly in the late maize reproductive period.

Copyright
© 2025 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.

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Volume Title
Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
4 January 2026
ISBN
978-94-6463-946-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-946-9_14How to use a DOI?
Copyright
© 2025 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.

Cite this article

TY  - CONF
AU  - Ziyuan Zhou
AU  - Ying Guo
AU  - Dan Chen
AU  - Kaiwei Li
AU  - Xiao Wei
AU  - Zhi Feng
AU  - Jiquan Zhang
AU  - Chunli Zhao
AU  - Zhijun Tong
AU  - Xingpeng Liu
PY  - 2026
DA  - 2026/01/04
TI  - Spatiotemporal Characterization and Hazard Assessment of Compound Extreme Events of Maize in Songliao Plain based on CEMI
BT  - Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)
PB  - Atlantis Press
SP  - 108
EP  - 114
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-946-9_14
DO  - 10.2991/978-94-6463-946-9_14
ID  - Zhou2026
ER  -