1.成都大学建筑与土木工程学院,四川 成都,610106
2.武汉大学测绘学院,湖北 武汉,430079
3.地球空间环境与大地测量教育部重点实验室,湖北 武汉,430079
崔立鲁,博士,副教授,研究方向为重力水文学。lilucui@126.com
钟波,博士,教授。bzhong@sgg.whu.edu.cn
收稿:2025-07-25,
纸质出版:2026-06-05
移动端阅览
崔立鲁,卢宇恒,钟波,等.利用HUST-Grace2024模型评估珠江流域陆地水储量的可持续性[J].武汉大学学报(信息科学版),2026,51(6):1166-1181.
CUI Lilu,LU Yuheng,ZHONG Bo,et al.Assessing the Sustainability of Terrestrial Water Storage in the Pearl River Basin Using HUST-Grace2024 Model[J].Geomatics and Information Science of Wuhan University,2026,51(6):1166-1181.
崔立鲁,卢宇恒,钟波,等.利用HUST-Grace2024模型评估珠江流域陆地水储量的可持续性[J].武汉大学学报(信息科学版),2026,51(6):1166-1181. DOI:10.13203/j.whugis20250025
CUI Lilu,LU Yuheng,ZHONG Bo,et al.Assessing the Sustainability of Terrestrial Water Storage in the Pearl River Basin Using HUST-Grace2024 Model[J].Geomatics and Information Science of Wuhan University,2026,51(6):1166-1181. DOI:10.13203/j.whugis20250025
陆地水储量的可持续性评估及其影响因素分析对于水资源合理利用和社会经济发展等具有重要意义。利用华中科技大学最新发布的HUST-Grace2024模型反演了2003—2023年珠江流域陆地水储量变化(terrestrial water storage change
TWSC)的时空特征,并与国际上5种常用的重力恢复与气候实验及其后续卫星模型结果进行比较。采用HUST-Grace2024模型计算的可持续性指数(sustainability index
SI)详细评估珠江流域及其子流域的水资源可持续状况,同时结合气象和水文数据定量分析了降水、蒸散发、径流和归一化植被指数(normalized difference vegetation index
NDVI)对TWSC的影响。结果显示,利用HUST-Grace2024与5种常用的国际模型计算得到的TWSC高度一致,其精度与国际时变重力场模型联合解算组织的模型结果相当。研究时段内
珠江流域的TWSC以4.7 mm/a的速度增长,其中南北盘江流域和红柳江流域的增长速度显著高于其他子流域。整体而言,珠江流域水资源处于轻度不可持续状态(SI=0.36),其中郁江流域和南北盘江流域的SI分别为最高0.39和最低0.34。此外,NDVI对珠江流域TWSC的影响最大,其次为径流、降水和蒸散发。虽然这4种影响因素在所有子流域的贡献率排序是一致的,但其数值上存在显著的差异。结果表明,HUST-Grace2024模型能够有效监测和评估珠江流域TWSC的时空演化过程及其可持续性,可为该地区水资源管理和科学决策等提供参考。
Objectives
2
As a core indicator for water resource management
the sustainability assessment of terrestrial water storage is crucial for addressing climate change and ensuring regional water security.
Methods
2
We employed the latest HUST-Grace2024 model developed by Huazhong University of Science and Technology to analyze the spatiotemporal characteristics of terrestrial water storage change (TWSC) across the Pearl River Basin (PRB) from 2003 to 2023. The results were compared with those derived from five internationally recognized gravity recovery and climate experiment (GRACE) and GRACE Follow-On (GRACE-FO) models. Using the sustainability index (SI) derived from HUST-Grace2024
we assessed the water resource sustainability in the PRB and its sub-basins. We also quantitatively evaluated the impact of precipitation
evapotranspiration
runoff
and the normalized difference vegetation index (NDVI) on terrestrial water storage using meteorological and hydrological data.
Results
2
Comparison results indicate that the TWSC calculated by HUST-Grace2024 is highly consistent with that calculated by five commonly used international models. Its accuracy is comparable to the results of the international combination service for time-variable gravity field model
indicating that the TWSC of the PRB inverted by this model has higher reliability and accuracy. During the study period
terrestrial water storage in the PRB increased at an average rate of 4.7 mm/a
with significantly faster growth in the Nanpan and Hongliu River sub-basins compared to others. Overall
although the water resources in the PRB are in a mildly unsustainable state (SI=0.36)
with the Yujiang River Basin and Nanpan-Beipan River Basin having the highest (0.39) and lowest (0.34) SI values respectively
their sustainability is continuously improving. Among the influencing factors
NDVI has the greatest impact on the TWSC in the PRB
followed by runoff
precipitation and evapotranspiration. This indicates that vegetation coverage plays a significant role in regional soil and water conservation. Although the ranking of the contribution rates of these four influencing factors is consistent across all sub-basins
there are significant differences in their numerical values.
Conclusions
2
These results demonstrate that the HUST-Grace2024 model effectively monitors and evaluates the spatiotemporal evolution and sustainability of TWSC in the PRB
providing valuable insights for regional water resource management and informed decision-making.
夏军 , 刘春蓁 , 任国玉 . 气候变化对我国水资源影响研究面临的机遇与挑战 [J]. 地球科学进展 , 2011 , 26 ( 1 ): 1 - 12 .
XIA Jun , LIU Chunzhen , REN Guoyu . Opportunity and Challenge of the Climate Change Impact on the Water Resource of China [J]. Advances in Earth Science , 2011 , 26 ( 1 ): 1 - 12 .
水利部珠江水利委员会 . 走进珠江 . [EB/OL]. [ 2022-07-19 ]. http://www.pearlwater.gov.cn/swh/zjzj/ http://www.pearlwater.gov.cn/swh/zjzj/ .
Pearl River Water Resources Commission of the Ministry of Water Resources . Entering the Pearl River [EB/OL]. [ 2022-07-19 ]. http://www.pearlwater.gov.cn/swh/zjzj/ http://www.pearlwater.gov.cn/swh/zjzj/ .
罗志才 , 钟波 , 周浩 , 等 . 利用卫星重力测量确定地球重力场模型的进展 [J]. 武汉大学学报(信息科学版) , 2022 , 47 ( 10 ): 1713 - 1727 .
LUO Zhicai , ZHONG Bo , ZHOU Hao , et al . Progress in Determining the Earth's Gravity Field Model by Satellite Gravimetry [J]. Geomatics and Information Science of Wuhan University , 2022 , 47 ( 10 ): 1713 - 1727 .
CUI L L , ZHU C K , WU Y L , et al . Natural and Human-Induced Influences on Terrestrial Water Storage Change in Sichuan, Southwest China from 2003 to 2020 [J]. Remote Sensing , 2022 , 14 ( 6 ): 1369 .
ZHONG B , LI Q , LI X P , et al . Basin-Scale Terrestrial Water Storage Changes Inferred from GRACE-Based Geopotential Differences: A Case Study of the Yangtze River Basin, China [J]. Geophysical Journal International , 2023 , 233 ( 2 ): 1318 - 1338 .
XU G D , WU Y L , LIU S L , et al . How 2022 Extreme Drought Influences the Spatiotemporal Variations of Terrestrial Water Storage in the Yangtze River Catchment: Insights from GRACE-Based Drought Severity Index and In-Situ Measurements [J]. Journal of Hydrology , 2023 , 626 : 130245 .
聂圣琨 , 尹文杰 , 郑伟 , 等 . 南水北调前后海河流域陆地水储量变化分析 [J]. 大地测量与地球动力学 , 2023 , 43 ( 2 ): 128 - 134 .
NIE Shengkun , YIN Wenjie , ZHENG Wei , et al . Analysis of Land Water Reserves in Haihe River Basin Before and After South-to-North Water Transfer Project [J]. Journal of Geodesy and Geodynamics , 2023 , 43 ( 2 ): 128 - 134 .
张博 , 曹丹平 , 唐家奎 . 应用GRACE和气象数据监测黄河流域陆地水储量时空变化 [J]. 遥感技术与应用 , 2024 , 39 ( 3 ): 699 - 707 .
ZHANG Bo , CAO Danping , TANG Jiakui . Application of GRACE and Meteorological Data to Monitor Terrestrial Water Storage in the Yellow River Basin [J]. Remote Sensing Technology and Application , 2024 , 39 ( 3 ): 699 - 707 .
曹艳萍 , 南卓铜 , 胡兴林 . 利用GRACE重力卫星数据反演黑河流域地下水变化 [J]. 冰川冻土 , 2012 , 34 ( 3 ): 680 - 689 .
CAO Yanping , NAN Zhuotong , HU Xinglin . Changes of Groundwater Storage in the Heihe River Basin Derived from GRACE Gravity Satellite Data [J]. Journal of Glaciology and Geocryology , 2012 , 34 ( 3 ): 680 - 689 .
熊景华 , 王兆礼 . 基于GRACE重力卫星的珠江流域陆地水储量时空变化研究 [J]. 水文 , 2021 , 41 ( 6 ): 33 - 39 .
XIONG Jinghua , WANG Zhaoli . Spatiotemporal Changes of Terrestrial Water Storage in the Pearl River Basin Based on GRACE Data [J]. Journal of China Hydrology , 2021 , 41 ( 6 ): 33 - 39 .
HUANG H J , FENG G B , CAO Y E , et al . Simulation and Driving Factor Analysis of Satellite-Observed Terrestrial Water Storage Anomaly in the Pearl River Basin Using Deep Learning [J]. Remote Sensing , 2023 , 15 ( 16 ): 3983 .
邓梓锋 , 吴旭树 , 王兆礼 , 等 . 基于GRACE重力卫星数据的珠江流域干旱监测 [J]. 农业工程学报 , 2020 , 36 ( 20 ): 179 - 187 .
DENG Zifeng , WU Xushu , WANG Zhaoli , et al . Drought Monitoring Based on GRACE Data in the Pearl River Basin, China [J]. Transactions of the Chinese Society of Agricultural Engineering , 2020 , 36 ( 20 ): 179 - 187 .
熊景华 , 王兆礼 . 基于GRACE重力卫星的珠江流域大尺度洪水监测 [J]. 水力发电学报 , 2021 , 40 ( 5 ): 68 - 78 .
XIONG Jinghua , WANG Zhaoli . Exploration of Large-Scale Flood Monitoring in the Pearl River Basin Based on GRACE Satellites [J]. Journal of Hydroelectric Engineering , 2021 , 40 ( 5 ): 68 - 78 .
CUI L L , CHEN X S , AN J C , et al . Spatiotemporal Variation Characteristics of Droughts and Their Connection to Climate Variability and Human Activity in the Pearl River Basin, South China [J]. Water , 2023 , 15 ( 9 ): 1720 .
MEYER U , JEAN Y , KVAS A , et al . Combination of GRACE Monthly Gravity Fields on the Normal Equation Level [J]. Journal of Geodesy , 2019 , 93 ( 9 ): 1645 - 1658 .
ZHOU H , ZHOU Z B , LUO Z C . A New Hybrid Processing Strategy to Improve Temporal Gravity Field Solution [J]. Journal of Geophysical Research: Solid Earth , 2019 , 124 ( 8 ): 9415 - 9432 .
LI F P , KUSCHE J , RIETBROEK R , et al . Comparison of Data-Driven Techniques to Reconstruct (1992—2002) and Predict (2017—2018) GRACE-Like Gridded Total Water Storage Changes Using Climate Inputs [J]. Water Resources Research , 2020 , 56 ( 5 ): e2019WR026551 .
MIRALLES D G , HOLMES T R H , DE JEU R A M , et al . Global Land-Surface Evaporation Estimated from Satellite-Based Observations [J]. Hydrology and Earth System Sciences , 2011 , 15 ( 2 ): 453 - 469 .
杜梅 , 赵健赟 . 基于MODIS NDVI的湟水流域植被覆盖时空变化特征分析 [J]. 青海大学学报 , 2020 , 38 ( 6 ): 77 - 84 .
DU Mei , ZHAO Jianyun . Analysis on the Characteristics of Spatial and Temporal Variation of Vegetation Coverage in Huangshui River Basin Based on MODIS NDVI [J]. Journal of Qinghai University , 2020 , 38 ( 6 ): 77 - 84 .
SUN Y , RIVA R , DITMAR P . Optimizing Estimates of Annual Variations and Trends in Geocenter Motion and J2 from a Combination of GRACE Data and Geophysical Models [J]. Journal of Geophysical Research: Solid Earth , 2016 , 121 ( 11 ): 8352 - 8370 .
LOOMIS B D , RACHLIN K E , LUTHCKE S B . Improved Earth Oblateness Rate Reveals Increased Ice Sheet Losses and Mass-Driven Sea Level Rise [J]. Geophysical Research Letters , 2019 , 46 ( 12 ): 6910 - 6917 .
李婉秋 , 王伟 , 章传银 , 等 . 利用GRACE卫星重力数据监测关中地区地下水储量变化 [J]. 地球物理学报 , 2018 , 61 ( 6 ): 2237 - 2245 .
LI Wanqiu , WANG Wei , ZHANG Chuanyin , et al . Monitoring Groundwater Storage Variations in the Guanzhong Area Using GRACE Satellite Gravity Data [J]. Chinese Journal of Geophysics , 2018 , 61 ( 6 ): 2237 - 2245 .
FERREIRA V G , MONTECINO H D C , YAKUBU C I , et al . Uncertainties of the Gravity Recovery and Climate Experiment Time-Variable Gravity-Field Solutions Based on Three-Cornered Hat Method [J]. Journal of Applied Remote Sensing , 2016 , 10 ( 1 ): 015015 .
KHANDU , FOROOTAN E , SCHUMACHER M , et al . Exploring the Influence of Precipitation Extremes and Human Water Use on Total Water Storage (TWS) Changes in the Ganges-Brahmaputra-Meghna River Basin [J]. Water Resources Research , 2016 , 52 ( 3 ): 2240 - 2258 .
LONG D , PAN Y , ZHOU J , et al . Global Analysis of Spatiotemporal Variability in Merged Total Water Storage Changes Using Multiple GRACE Products and Global Hydrological Models [J]. Remote Sensing of Environment , 2017 , 192 : 198 - 216 .
CUI L L , LUO C J , YAO C L , et al . The Influence of Climate Change on Forest Fires in Yunnan Province, Southwest China Detected by GRACE Satellites [J]. Remote Sensing , 2022 , 14 ( 3 ): 712 .
CUI L L , YIN M Q , ZOU Z B , et al . Spatiotemporal Change in Evapotranspiration Across the Indus River Basin Detected by Combining GRACE/GRACE-FO and Swarm Observations [J]. Remote Sensing , 2023 , 15 ( 18 ): 4469 .
SANDOVAL-SOLIS S , MCKINNEY D C , LOUCKS D P . Sustainability Index for Water Resources Planning and Management [J]. Journal of Water Resources Planning and Management , 2011 , 137 ( 5 ): 381 - 390 .
瞿伟 , 陈沛男 , 张普方 , 等 . GRACE/GRACE-FO揭示黄河上游2002—2022年GWS及可持续性时空演化 [J]. 武汉大学学报(信息科学版) , 2024 , 49 ( 8 ): 1287 - 1299 .
QU Wei , CHEN Peinan , ZHANG Pufang , et al . Spatiotemporal Changes of GWS Changes and Their Sustainability in the Upper Reaches of the Yellow River Basin from 2002 to 2022 Revealed by GRACE/GRACE-FO Observations [J]. Geomatics and Information Science of Wuhan University , 2024 , 49 ( 8 ): 1287 - 1299 .
许智铭 , 王正涛 . 联合GRACE和水文数据探测松花江流域地下水时空变化 [J]. 武汉大学学报(信息科学版) , 2023 , 48 ( 9 ): 1409 - 1415 .
XU Zhiming , WANG Zhengtao . Detect Songhua River Basin Groundwater Spatiotemporal Variation Characteristics by GRACE and Multi-source Hydrological Data [J]. Geomatics and Information Science of Wuhan University , 2023 , 48 ( 9 ): 1409 - 1415 .
FENG T F , SHEN Y Z , WANG F W , et al . Spatiotemporal Variability and Driving Factors of the Shallow Soil Moisture in North China During the Past 31 Years [J]. Journal of Hydrology , 2023 , 619 : 129331 .
赵丹丹 . 基于机器学习算法的黄河流域水储量数据重建 [D]. 开封 : 河南大学 , 2021 .
ZHAO Dandan . Reconstruction of Water Storage Data in the Yellow River Basin Based on Machine Learning Algorithm [D]. Kaifeng : Henan University , 2021 .
ZHANG Z Z , CHAO B F , CHEN J L , et al . Terrestrial Water Storage Anomalies of Yangtze River Basin Droughts Observed by GRACE and Connections with ENSO [J]. Global and Planetary Change , 2015 , 126 : 35 - 45 .
0
浏览量
1
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621