Multi-indicator comparison in characterizing spatiotemporal patterns of water disasters and corresponding agricultural applications in the Middle-and-lower Yangtze River

IF 6.5 1区 农林科学 Q1 AGRONOMY
Rong Tang , Long Qian
{"title":"Multi-indicator comparison in characterizing spatiotemporal patterns of water disasters and corresponding agricultural applications in the Middle-and-lower Yangtze River","authors":"Rong Tang ,&nbsp;Long Qian","doi":"10.1016/j.agwat.2025.109878","DOIUrl":null,"url":null,"abstract":"<div><div>Increasing climate change exacerbates drought and flooding disasters, posing significant threats to agricultural production and crop stability. Hydrometeorological indicators are widely employed to assess water disasters, but systematic comparisons of their efficacy in capturing spatiotemporal patterns remain limited. To elucidate the performances of multi indicators across spatiotemporal scales and to reveal water disaster patterns and high-risk zones for key crops, this study introduced five convenient hydrometeorological indicators, i.e., SPI (Standardized Precipitation Index), SPEI (Standardized Precipitation Evapotranspiration Index), PA (Precipitation anomaly), CZI (China-Z Index), and SAPEI (Standardized antecedent precipitation evapotranspiration index) to reveal the spatial-temporal characteristics of drought and flooding in the Middle-and-lower Yangtze River Region (MLRYR, 28°45′N −33°25′N, 113°25′E −118°20′E) across years and the growing seasons of two critical crops. Additionally, the high-risk areas of crop drought and flooding were revealed. The results showed those the temporal trends of both drought and flooding were mostly increasing, and the significant trends of drought were much greater than that of flooding. The SPI detected the most significant trends of both drought and flooding, and the indicator consistency ratios by most indicators were only 29.6 % (drought) and 41.7 % (flooding). The spatial moving direction was “southern to northern” for heavy drought areas and “northern to the northeastern” for heavy flooding areas, and the eastern MLRYR suffered both heavy drought and flooding. The indicator consistency ratio by most indicators was less than 20 % in identifying heavy drought and flooding areas. The significantly increasing trends in rapeseed drought were numerous, while those in cotton drought were few. Heavy drought and flooding areas for cotton were mainly in the southern part, while those for rapeseed were in the western and northeastern parts. Compared with cotton, rapeseed suffered much higher drought and flooding risks, which were concentrated in western provinces. This methodology provides actionable insights for precision agriculture and targeted disaster mitigation strategies in major grain-producing regions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"321 ","pages":"Article 109878"},"PeriodicalIF":6.5000,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Water Management","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S037837742500592X","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

Increasing climate change exacerbates drought and flooding disasters, posing significant threats to agricultural production and crop stability. Hydrometeorological indicators are widely employed to assess water disasters, but systematic comparisons of their efficacy in capturing spatiotemporal patterns remain limited. To elucidate the performances of multi indicators across spatiotemporal scales and to reveal water disaster patterns and high-risk zones for key crops, this study introduced five convenient hydrometeorological indicators, i.e., SPI (Standardized Precipitation Index), SPEI (Standardized Precipitation Evapotranspiration Index), PA (Precipitation anomaly), CZI (China-Z Index), and SAPEI (Standardized antecedent precipitation evapotranspiration index) to reveal the spatial-temporal characteristics of drought and flooding in the Middle-and-lower Yangtze River Region (MLRYR, 28°45′N −33°25′N, 113°25′E −118°20′E) across years and the growing seasons of two critical crops. Additionally, the high-risk areas of crop drought and flooding were revealed. The results showed those the temporal trends of both drought and flooding were mostly increasing, and the significant trends of drought were much greater than that of flooding. The SPI detected the most significant trends of both drought and flooding, and the indicator consistency ratios by most indicators were only 29.6 % (drought) and 41.7 % (flooding). The spatial moving direction was “southern to northern” for heavy drought areas and “northern to the northeastern” for heavy flooding areas, and the eastern MLRYR suffered both heavy drought and flooding. The indicator consistency ratio by most indicators was less than 20 % in identifying heavy drought and flooding areas. The significantly increasing trends in rapeseed drought were numerous, while those in cotton drought were few. Heavy drought and flooding areas for cotton were mainly in the southern part, while those for rapeseed were in the western and northeastern parts. Compared with cotton, rapeseed suffered much higher drought and flooding risks, which were concentrated in western provinces. This methodology provides actionable insights for precision agriculture and targeted disaster mitigation strategies in major grain-producing regions.
长江中下游水害时空格局特征及其农业应用的多指标比较
气候变化加剧加剧了干旱和洪涝灾害,对农业生产和作物稳定构成重大威胁。水文气象指标被广泛用于评估水害,但系统比较其在捕捉时空格局方面的有效性仍然有限。为了阐明多指标在时空尺度上的表现,揭示主要作物的水害模式和高发区,本研究引入了5个便捷的水文气象指标,即SPI(标准化降水指数)、SPEI(标准化降水蒸散指数)、PA(降水异常)、CZI(中国- z指数)、和SAPEI(标准化前期降水蒸散指数),揭示长江中下游地区(MLRYR, 28°45′n ~ 33°25′n, 113°25′e ~ 118°20′e)旱涝的时空特征和两种重要作物的生长季节。此外,还揭示了作物旱涝高发区。结果表明:干旱和洪涝的时间变化趋势均以增加为主,且干旱的显著变化趋势远大于洪涝。SPI对干旱和洪水趋势的检测最为显著,大多数指标的指标一致性比仅为29.6 %(干旱)和41.7 %(洪水)。重旱区空间运动方向为“南向北”,重洪涝区空间运动方向为“北向东北”,且东部地区旱涝并存。在识别重旱涝地区时,多数指标的指标一致性比小于20% %。油菜籽干旱显著增加的趋势较多,棉花干旱显著增加的趋势较少。棉花旱涝重区主要在南部,油菜籽旱涝重区主要在西部和东北部。与棉花相比,油菜籽遭受的旱涝风险要高得多,且主要集中在西部省份。该方法为主要产粮地区的精准农业和有针对性的减灾战略提供了可行的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Agricultural Water Management
Agricultural Water Management 农林科学-农艺学
CiteScore
12.10
自引率
14.90%
发文量
648
审稿时长
4.9 months
期刊介绍: Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信