The Propagation Characteristics of Meteorological Drought to Vegetation Drought Based on Three-Dimensional Clustering Algorithm in China

The spatiotemporal continuity characteristics of drought are the basis for analyzing its spatial migration and evolution, which is significant for mitigation and early warning of drought. The aim of this paper is to identify meteorological and vegetation drought events in China from 1982 to 2022, re...

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Published in:Agronomy (Basel) Vol. 14; no. 9; p. 2067
Main Authors: Gao, Shikai, Wang, Fei, Men, Ruyi, Yan, Shaofeng, Wang, Zipeng, Lai, Hexin, Li, Yanbin, Guo, Wenxian
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.09.2024
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ISSN:2073-4395, 2073-4395
Online Access:Get full text
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Summary:The spatiotemporal continuity characteristics of drought are the basis for analyzing its spatial migration and evolution, which is significant for mitigation and early warning of drought. The aim of this paper is to identify meteorological and vegetation drought events in China from 1982 to 2022, reveal the dynamic changes of typical drought events, and elucidate the propagation characteristics of meteorological and vegetation drought. The results showed that (1) based on a three-dimensional spatiotemporal clustering algorithm, China experienced 138 meteorological drought events and 76 vegetation drought events; (2) the severity of the meteorological drought event No. M138 (2022.03–2022.11) reached 667.58 × 104 km2·month, and the severity of the vegetation drought event No. V68 (2019.06–2020.04) reached 572.89 × 104 km2·month; (3) a total of 40 meteorological-vegetation drought event pairs had been identified, which was divided into three main types: “single”, “simple”, and “complexity”; and (4) in the typical drought event pair No. P-34, the area difference was 16.45 × 104 km2, and the severity difference was 3.89 × 104 km2. The research results can provide a new perspective for identifying the dynamic changes and propagation characteristics of drought events from a three-dimensional perspective, which is of great significance for predicting vegetation drought and protecting the ecological environment.
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ISSN:2073-4395
2073-4395
DOI:10.3390/agronomy14092067