Spatiotemporal evolution of 1998 extreme flood event in the Yangtze River basin from the perspective of the reconstructed GRACE/GRACE-FO data

IF 5 2区 地球科学 Q1 WATER RESOURCES
Lilu Cui , Jiacheng Meng , Bo Zhong , Jiachuan An , Yu Li , Haoyang Guo , Yuheng Lu
{"title":"Spatiotemporal evolution of 1998 extreme flood event in the Yangtze River basin from the perspective of the reconstructed GRACE/GRACE-FO data","authors":"Lilu Cui ,&nbsp;Jiacheng Meng ,&nbsp;Bo Zhong ,&nbsp;Jiachuan An ,&nbsp;Yu Li ,&nbsp;Haoyang Guo ,&nbsp;Yuheng Lu","doi":"10.1016/j.ejrh.2025.102551","DOIUrl":null,"url":null,"abstract":"<div><h3>Study region</h3><div>Yangtze River basin (YRB), China</div></div><div><h3>Study focus</h3><div>The primary objective of this study is to reconstruct GRACE (Gravity Recovery and Climate Experiment) data from 1992 to 2002 and assess the 1998 extreme floods in the YRB. To achieve this, we developed an improved reconstruction algorithm that incorporates regional differences in the relationships between terrestrial water storage changes (TWSC) and hydrometeorological variables, thereby enhancing the accuracy of the reconstructed results. We also analyzed the development and propagation of the flood, as well as the deep connections between the flood and the El Niño event.</div></div><div><h3>New hydrological insights for the region</h3><div>This study provides a new idea for the GRACE reconstruction data, revealing the importance of accurately determining the key input hydrometeorological elements for the reconstruction model. This offers certain reference for studying the regional differences in the relationship between hydrometeorological elements and TWSC.</div></div><div><h3>Key findings</h3><div>Include compared with traditional algorithm, the reconstruction results based on our algorithm have significantly improved when compared with the water balance and hydrological models. Specifically, the root-mean-square error (RMSE) was reduced by 48.09 % and 27.14 % compared to the WB and GLDAS results, respectively. The 1998 extreme flood occurred between June and September, with cumulative TWSC exceeding normal levels by 55.62 billion tons. The extreme flood was primarily caused by elevated terrestrial water storage due to prior precipitation (PRE), further exacerbated by heavy PRE, which was linked to the strong 1997 El Niño event. Additionally, human activities played a contributing role in intensifying the flood.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102551"},"PeriodicalIF":5.0000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology-Regional Studies","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214581825003763","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0

Abstract

Study region

Yangtze River basin (YRB), China

Study focus

The primary objective of this study is to reconstruct GRACE (Gravity Recovery and Climate Experiment) data from 1992 to 2002 and assess the 1998 extreme floods in the YRB. To achieve this, we developed an improved reconstruction algorithm that incorporates regional differences in the relationships between terrestrial water storage changes (TWSC) and hydrometeorological variables, thereby enhancing the accuracy of the reconstructed results. We also analyzed the development and propagation of the flood, as well as the deep connections between the flood and the El Niño event.

New hydrological insights for the region

This study provides a new idea for the GRACE reconstruction data, revealing the importance of accurately determining the key input hydrometeorological elements for the reconstruction model. This offers certain reference for studying the regional differences in the relationship between hydrometeorological elements and TWSC.

Key findings

Include compared with traditional algorithm, the reconstruction results based on our algorithm have significantly improved when compared with the water balance and hydrological models. Specifically, the root-mean-square error (RMSE) was reduced by 48.09 % and 27.14 % compared to the WB and GLDAS results, respectively. The 1998 extreme flood occurred between June and September, with cumulative TWSC exceeding normal levels by 55.62 billion tons. The extreme flood was primarily caused by elevated terrestrial water storage due to prior precipitation (PRE), further exacerbated by heavy PRE, which was linked to the strong 1997 El Niño event. Additionally, human activities played a contributing role in intensifying the flood.
基于GRACE/GRACE- fo数据重构的1998年长江流域特大洪涝事件时空演变
摘要本研究的主要目的是对1992 ~ 2002年长江流域重力恢复与气候试验(GRACE)数据进行重建,并对1998年长江流域的特大洪水进行评估。为了实现这一目标,我们开发了一种改进的重建算法,该算法考虑了陆地储水变化(TWSC)与水文气象变量之间关系的区域差异,从而提高了重建结果的准确性。我们还分析了洪水的发展和传播,以及洪水与El Niño事件之间的深层联系。本研究为GRACE重建数据提供了新的思路,揭示了准确确定关键输入水文气象要素对重建模型的重要性。这为研究水文气象要素与TWSC关系的区域差异提供了一定的参考。主要发现包括:与传统算法相比,基于本算法的重建结果与水平衡和水文模型相比有显著提高。具体而言,与WB和GLDAS结果相比,均方根误差(RMSE)分别降低了48.09 %和27.14 %。1998年的特大洪水发生在6月至9月,TWSC累计超过正常水平556.2亿吨。这次极端洪水主要是由前期降水(PRE)导致的陆地储水量升高引起的,而强降水(PRE)进一步加剧了这一现象,这与1997年的强El Niño事件有关。此外,人类活动在加剧洪水中发挥了促进作用。
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
Journal of Hydrology-Regional Studies
Journal of Hydrology-Regional Studies Earth and Planetary Sciences-Earth and Planetary Sciences (miscellaneous)
CiteScore
6.70
自引率
8.50%
发文量
284
审稿时长
60 days
期刊介绍: Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.
×
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