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Quantifying Multi-hazards and Impacts Over Different Growth Periods of Maize: A Study Based on Index Construction

Authors :
Dan Chen
Ying Guo
Rui Wang
Yunmeng Zhao
Kaiwei Li
Jiquan Zhang
Xingpeng Liu
Zhijun Tong
Chunli Zhao
Source :
International Journal of Disaster Risk Science, Vol 14, Iss 5, Pp 822-839 (2023)
Publication Year :
2023
Publisher :
SpringerOpen, 2023.

Abstract

Abstract Owing to the complexity and variability of global climate, the study of extreme events to ensure food security is particularly critical. The standardized precipitation requirement index (SPRI) and chilling injury index (ICi) were introduced using data from agrometeorological stations on the Songliao Plain between 1981 and 2020 to identify the spatial and temporal variability of drought, waterlogging, and low-temperature cold damage during various maize growth periods. Compound drought and low-temperature cold damage events (CDLEs) and compound waterlogging and low-temperature cold damage events (CWLEs) were then identified. To measure the intensity of compound events, the compound drought and low-temperature cold damage magnitude index (CDLMI), and compound waterlogging and low-temperature cold damage magnitude index (CWLMI) were constructed by fitting marginal distributions. Finally, the effects of extreme events of various intensities on maize output were examined. The findings demonstrate that: (1) There were significant differences in the temporal trends of the SPRI and ICi during different maize growth periods. Drought predominated in the middle growth period (MP), waterlogging predominated in the early growth period (EP) and late growth period (LP), and both drought and waterlogging tended to increase in intensity and frequency. The frequency of low-temperature cold damage showed a decreasing trend in all periods. (2) The CDLMI and CWLMI can effectively determine the intensity of CDLEs and CWLEs in the study area; these CDLEs and CWLEs had higher intensity and frequency in the late growth period. (3) Compared to single events, maize relative meteorological yield had a more significant negative correlation with the CDLMI and CWLMI.

Details

Language :
English
ISSN :
20950055, 21926395, and 34158936
Volume :
14
Issue :
5
Database :
Directory of Open Access Journals
Journal :
International Journal of Disaster Risk Science
Publication Type :
Academic Journal
Accession number :
edsdoj.33b11aa1caf3415893625779f8604bbf
Document Type :
article
Full Text :
https://doi.org/10.1007/s13753-023-00516-8