Quantification of agricultural drought recovery time and analysis on its influencing factors at different time scales in the Yangtze River Basin

被引：0

作者：

Zhu Q. ^{[1
]}

Wei Q. ^{[1
]}

Bai Z. ^{[1
]}

Min X. ^{[1
]}

机构：

[1] School of Civil Engineering, Southeast University, Nanjing

来源：

Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2024年 / 54卷 / 03期

关键词：

drought recovery time; influencing factor; random forest; Yangtze River Basin;

D O I：

10.3969/j.issn.1001-0505.2024.03.018

中图分类号：

学科分类号：

摘要：

To mitigate losses caused by agricultural drought,drought recovery standards based on gross primary productivity(GPP)are established,quantifying the recovery time of agricultural drought at different temporal scales. The random forest algorithm is employed to analyze the influencing factors of drought recovery time,determining the most significant factors affecting drought recovery duration at different time scales. The result reveals that the average drought recovery times at the 1,6,12,and 24-month time scales are 5. 7,3. 9, 3. 8,and 3. 0 months,respectively. As the time scale increases,there is a gradual decrease in drought recovery time. In terms of spatial distribution,regions characterized by longer drought recovery times are mainly distributed in the western and southeastern regions of the Yangtze River Basin. The analysis on influencing factors indicates that meteorological variables are the primary determinants affecting drought recovery time in the short time scales. However,over the longer time scales,the season of drought occurrence exerts greater influence on drought recovery time. © 2024 Southeast University. All rights reserved.

引用

页码：675 / 683

页数：8

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