[1]李爱民,郭振强,兀泽坤,等.基于GRACE的京津冀地区地下水干旱时空变化特征[J].郑州大学学报(工学版),2026,47(02):136-144.[doi:10.13705/j.issn.1671-6833.2025.05.019]
　LI Aimin,GUO Zhenqiang,WU Zekun,et al.Spatio-temporal Variation Characteristics of Groundwater Drought in the Beijing-Tianjin-Hebei Region Based on GRACE Data[J].Journal of Zhengzhou University (Engineering Science),2026,47(02):136-144.[doi:10.13705/j.issn.1671-6833.2025.05.019]
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基于GRACE的京津冀地区地下水干旱时空变化特征()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
47
期数:
2026年02期
页码:
136-144
栏目:
出版日期:
2026-02-13

文章信息/Info

Title:
Spatio-temporal Variation Characteristics of Groundwater Drought in the Beijing-Tianjin-Hebei Region Based on GRACE Data
文章编号:
1671-6833(2026)02-0136-09
作者:
李爱民1;  郭振强1;  兀泽坤2;  成子怡1
1.郑州大学 地球科学与技术学院,河南 郑州 450001;2.天地 (常州)自动化股份有限公司,江苏 常州 213000
Author(s):
LI Aimin1;  GUO Zhenqiang1;  WU Zekun2;  CHENG Ziyi1
1.School of Geo-science and Technology, Zhengzhou University, Zhengzhou 450001, China; 2.TianDi (Changzhou) Automation Co., Ltd., Changzhou 213015, China
关键词:
GRACE重力卫星;  京津冀地区;  地下水干旱;  地下水储量;  游程理论
Keywords:
GRACE gravity satellite;  Beijing-Tianjin-Hebei Region;  groundwater drought;  groundwater storage amomalies;  run theory
分类号:
TV213 P641
DOI:
10.13705/j.issn.1671-6833.2025.05.019
文献标志码:
A
摘要:
针对京津冀地区因长期地下水超采、水资源供需失衡等因素引发的地下水资源短缺与干旱频发问题,探究了该地区地下水干旱的时空演变特征及其影响机制,旨在为该区域水资源的可持续管理提供科学支撑,助力京津冀地区实现高质量发展。采用2003年10月—2023年9月期间的重力恢复与气候实验卫星(GRACE)数据和全球陆面数据同化系统(GLDAS)数据,反演了京津冀地区的地下水储量变化(GWSA)。基于此构建了地下水干旱指数(GDI),后续结合游程理论识别了研究区的地下水干旱事件,并分析了地下水干旱的发生频率以及时空特征。最后,结合气象数据以及水资源公报等数据,进一步探讨了地下水干旱与各影响因素之间的关系。研究结果表明:①京津冀地区中部偏东区域的地下水干旱发生频率较高,东南沿线区域中度及以上程度的地下水干旱发生频率最高。②该地区地下水干旱事件集中发生在2014—2021年的8年间,呈现频次高、影响范围广但干旱强度相对较小的特征。③从季节性空间分布来看,东南沿线城市的秋季和春季干旱情况较为严重,夏季相对较轻,这一分布特征与3—5月和10—11月的农业灌溉活动有关。④从年际空间分布来看,自2014年降水量急剧减少后,地下水干旱情况逐渐加重,至2020年达到最严重程度,全区域出现大面积中度以上地下水干旱现象,2021年随着降水量大幅增加,地下水干旱情况有所缓解。⑤南水北调工程有效补给了京津冀地区的地表水储量,并促进了供水和用水模式的转变,在缓解地下水长期亏损中发挥了重要作用。
Abstract:
This study investigated the spatio-temporal characteristics and influencing mechanisms of groundwater drought in the Beijing-Tianjin-Hebei Region, aiming to provide scientific support for sustainable water resource management and promote high-quality regional development. Using Gravity Recovery and Climate Experiment (GRACE) satellite data (October 2003 to September 2023) and Global Land Data Assimilation System (GLDAS) data, groundwater storage anomalies (GWSA) were retrieved for the study area. Based on these results, a groundwater drought index (GDI) was constructed, through which groundwater drought events were identified using run theory. The occurrence frequency and spatio-temporal patterns of groundwater drought were subsequently analyzed, followed by an examination of relationships between groundwater drought and various influencing factors using meteorological data and water resource bulletins. The results indicated that: ①Higher frequencies of groundwater drought occurred in the central-eastern region, with the highest frequencies of moderate-to-severe drought concentrated along the southeastern periphery; ②Groundwater drought events primarily clustered between 2014 and 2021, characterized by high frequency, wide spatial extent, but relatively low intensity; ③Seasonally, autumn and spring droughts were most severe in southeastern cities, while summer droughts were milder, correlating with agricultural irrigation activities during March to May and October to November; ④Interannually, groundwater drought intensified after 2014 following sharp precipitation declines, reaching maximum severity in 2020 when widespread moderate-to-severe drought covered the entire region, before alleviating in 2021 due to increased precipitation; ⑤The South-to-North Water Diversion Project effectively replenished surface water resources and facilitated shifts in water supply-demand patterns, playing a crucial role in mitigating long-term groundwater deficits.

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更新日期/Last Update: 2026-03-04