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

IF 2.9 2区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY International Journal of Disaster Risk Science Pub Date : 2023-10-01 DOI:10.1007/s13753-023-00516-8
Dan Chen, Ying Guo, Rui Wang, Yunmeng Zhao, Kaiwei Li, Jiquan Zhang, Xingpeng Liu, Zhijun Tong, Chunli Zhao
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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 (I Ci ) 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 I Ci 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.
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基于指数构建的玉米多害及不同生育期影响量化研究
由于全球气候的复杂性和多变性,研究极端事件对确保粮食安全尤为重要。利用松辽平原1981 ~ 2020年农业气象站资料,引入标准化降水需求指数(SPRI)和冻害指数(I Ci),分析了玉米各生育期干旱、涝渍和低温冷害的时空变化特征。然后确定了复合干旱低温冷害事件(CDLEs)和复合涝渍低温冷害事件(CWLEs)。为了衡量复合事件的强度,通过拟合边际分布,构建了复合干旱低温低温灾害强度指数(CDLMI)和复合涝渍低温低温灾害强度指数(CWLMI)。最后,分析了不同强度的极端事件对玉米产量的影响。结果表明:(1)不同玉米生育期SPRI和I Ci的时间变化趋势存在显著差异。生育中期以干旱为主,生育前期和生育后期以涝灾为主,且干旱和涝灾的强度和频次均有增加的趋势。低温冷害发生频率在各时期均呈下降趋势。(2) CDLMI和CWLMI可以有效地确定研究区内cdle和cwle的强度;在生长后期,cdle和cwle的强度和频率较高。(3)与单一事件相比,玉米相对气象产量与CDLMI和CWLMI的负相关更为显著。
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来源期刊
International Journal of Disaster Risk Science
International Journal of Disaster Risk Science GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
6.50
自引率
7.50%
发文量
63
审稿时长
13 weeks
期刊介绍: The International Journal of Disaster Risk Science (IJDRS) provides a pioneering platform for researchers and practitioners aiming at greater resilience and integrated risk governance in view of local, regional, and global disasters. IJDRS breaks new ground in research about disaster risks by connecting in-depth studies of actual disasters and of specific practices of disaster risk management with investigations of the global dynamics of disaster risks and theories and models relevant for advanced integrated risk governance.
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