A new GRACE downscaling approach for deriving high-resolution groundwater storage changes using ground-based scaling factors DOI Open Access
Huixiang Li, Yun Pan, Zhiyong Huang

et al.

Authorea (Authorea), Journal Year: 2023, Volume and Issue: unknown

Published: May 8, 2023

To compensate for the intrinsic coarse spatial resolution of groundwater storage (GWS) anomalies (GWSA) from Gravity Recovery and Climate Experiment (GRACE) satellites make better use current dense in situ groundwater-level data some regions, a new statistical downscaling method was proposed to derive high-resolution GRACE GWS changes. A ground-based scaling factor (SFGB) downscale changes that were corrected using gridded factors estimated through forward modeling. The applied North China Plain (NCP), where many observation wells consistently measured specific yield are available. Importantly, sensitivity explored considering uncertainties due variable and/or number wells. Independent validation shows SFGB can effectively recover GWSA at 0.5º grid scale (r = 0.81, root mean square error 40.51 mm/yr). SFGB-corrected NCP -32.60{plus minus}0.99 mm/yr (-4.6{plus minus}0.14 km3/yr) during 2004-2015, showing contrasting trends piedmont west (loss) coastal east (gains). Uncertainties arising yield, groundwater-level, both be reduced by 90%, 65%, 84%, respectively relative GWSA. This study highlights potential value jointly improve accuracy GRACE-derived smaller scales. improved change estimates would facilitate management.

Language: Английский

Application of the machine learning methods for GRACE data based groundwater modeling, a systematic review DOI
Vahid Nourani, Nardin Jabbarian Paknezhad, A. W. M Ng

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 25, P. 101113 - 101113

Published: Feb. 10, 2024

Language: Английский

Citations

8
SAGEA: A toolbox for comprehensive error assessment of GRACE and GRACE-FO based mass changes DOI
Shuhao Liu, Fan Yang, Ehsan Forootan

et al.

Computers & Geosciences, Journal Year: 2025, Volume and Issue: 196, P. 105825 - 105825

Published: Jan. 6, 2025

Language: Английский

Citations

1
Analysis of Groundwater Storage at The Local Scale in the Missan Region, Iraq, Based on GRACE Satellite and Well Data DOI Creative Commons

Hanan Kaduim Mohammed,

Mahmoud Saleh Al-Khafaji, Imzahim A. Alwan

et al.

Geosciences, Journal Year: 2025, Volume and Issue: 15(3), P. 91 - 91

Published: March 3, 2025

Accurate data collection and time series creation are crucial for understanding these changes. However, many areas lack reliable due to geopolitical issues government permissions. Urgent action is needed sustainable water management. This study uses Gravity Recovery Climate Experiment (GRACE) analyze monthly fluctuations in groundwater storage the Missan region of Iraq from January 2022 December 2023, using Goddard Space Flight Center (GSFC) mascon, Jet Propulsion Laboratory Downscaled (JPL_D), Catchment Land Surface Model (CLSM). revealed variability GWS over area RS integration with available monitoring wells. To investigate variability, GSFC, JPL_D, CLSM observed a downward trend 2022; GSFC exhibits highest negative trend, while has lowest trend. Then, June had positive Most period remote sensing that matches well situ, which wells 1, 2, 4 trends period. In conclusion, results improve role small-scale unconfined aquifers, supports decision-making resource The findings illustrated match between derived GRACE data.

Language: Английский

Citations

0
Characterization of groundwater storage changes in the Amazon River Basin based on downscaling of GRACE/GRACE-FO data with machine learning models DOI
Diego Alejandro Satizábal-Alarcón, Alexandra Vieira Suhogusoff, L Ferrari

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 168958 - 168958

Published: Nov. 28, 2023

Language: Английский

Citations

10
HRU-based Downscaling of GRACE-TWS to Quantify the Hydrogeological Fluxes and Specific Yield in the Lower Middle Ganga Basin DOI
Ranveer Kumar,

Shishir Gaur,

Pramod Soni

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 639, P. 131591 - 131591

Published: July 3, 2024

Language: Английский

Citations

1
Aquitard Structure Plays Important Role in Leakage: Evidence from Knn Method DOI Open Access

Zhaoguo Du,

Yutao Liu, Yihan Dong

et al.

Published: July 22, 2024

Leakage is important in groundwater cycle research and water resource management, the key to construct spatial distribution of aquitard. Influenced by natural anthropogenic factors, density boreholes restricts accuracy aquitard structure. This paper explores K-Nearest Neighbor (KNN) method multi-layer structure hinterland Songnen Plain, Northeast China, with limited boreholes, compare it Inverse Distance Weight (IDW) Ordinary Kriging (OK) methods evaluate leakage. The KNN needs first identify eigenvalue-k each layer, which used enhance trainset obtain testset a larger amount sample data enhanced, make prediction 3-dimensional more accurate than IDW OK. aquitrad obtained different from OK, thickness difference 3.53%-54.00%, area 2.28%-23.91%, leakage can be up 24.51%. also has high degree identification edges, help prevention pollution. results provide guidance for balance analysis, borehole engineering design, resources management exploitation.

Language: Английский

Citations

1
Estimation of Groundwater Storage Change and Groundwater Recharge Using GRACE data in Jedeb Watershed Under the Application of Google Earth Engine DOI Creative Commons
Tadie Mulie Asrade, Mulu Sewinet Kerebih,

Natnael Yasab Assefa

et al.

Air Soil and Water Research, Journal Year: 2024, Volume and Issue: 17

Published: Jan. 1, 2024

Over exploitation of Ground Water (GW) has resulted in lowering water table the Jedeb watershed. In this study, storage changes with GRACE satellite data and total annual precipitation CHIRPS Google Earth Engine system were investigated for watershed during 2003–2017. The groundwater recharge is estimated from a time series using fluctuation method. According to results obtained on fluctuations between 2003 2017, it was found that biggest increase levels (15 cm) occurred 2008, 2013, 2015, decrease (12.5 2012. net rate varied 18 25 cm/year 14-year period, average 21 cm/year. This study indicates GRACE-based estimation skilled enough provide monthly updates trend resource managers policymakers

Language: Английский

Citations

1
A flexible multi-scale approach for downscaling GRACE-derived groundwater storage anomaly using LightGBM and random forest in the Tashk-Bakhtegan Basin, Iran DOI

Arezo Mohtaram,

Hossein Shafizadeh‐Moghadam, Hamed Ketabchi

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 57, P. 102086 - 102086

Published: Dec. 2, 2024

Language: Английский

Citations

1
Transforming Hydrology Python Packages into Web Application Programming Interfaces: A Comprehensive Workflow Using Modern Web Technologies DOI Open Access
Sarva T. Pulla,

Hakan Yasarer,

Lance D. Yarbrough

et al.

Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2609 - 2609

Published: Sept. 14, 2024

The accessibility and deployment of complex hydrological models remain significant challenges in water resource management research. This study presents a comprehensive workflow for converting Python-based into web APIs, addressing the need more accessible interoperable modeling tools. leverages modern technologies containerization to streamline process. was applied three distinct models: GRACE downscaling model, synthetic time series generator, MODFLOW groundwater model. implementation process each model completed approximately 15 min with reliable internet connection, demonstrating efficiency approach. resulting APIs provide standardized interfaces execution, progress tracking, result retrieval, facilitating integration various applications. significantly reduces barriers usage, potentially broadening user base sophisticated approach aligns contemporary software development practices, opening new avenues collaboration innovation. While such as performance scaling security considerations remain, this work provides blueprint making operational, paving way enhanced research practical applications hydrology.

Language: Английский

Citations

0
Assessing Differences in Groundwater Hydrology Dynamics Between In Situ Measurements and GRACE-Derived Estimates via Machine Learning: A Test Case of Consequences for Agroecological Relationships Within the Yazoo–Mississippi Delta (USA) DOI Creative Commons

Lucas J. Heintzman,

Zahra Ghaffari, Abdel Rahman Awawdeh

et al.

Hydrology, Journal Year: 2024, Volume and Issue: 11(11), P. 186 - 186

Published: Nov. 1, 2024

In situ groundwater monitoring is critical for irrigated agroecosystems and informs land cover changes. Yet, such data can pose management challenges confound agroecological relationships. Correspondingly, satellite-based approaches, including the GRACE-constellation, are increasing. Although in GRACE-derived comparisons occur, limited research considers dependencies. Herein, we examined differences approaches (observed [in situ, O] vs. predicted [GRACE-derived, P]) within Yazoo–Mississippi Delta (YMD), an agroecosystem southeastern USA. We compared variations modeled hydrology, cover, irrigation dynamics of YMD upper-quartile (UQ) area interest (AOI) (highest levels) lower-quartile (LQ) AOI (lowest every year from 2008 to 2020. Spatially, OUQ PUQ were northern portions YMD, with OLQ PLQ southern portions. Groundwater levels between OUQ:PUQ OLQ:PLQ each had correlations > 0.85. Regarding most categories varied ±2.50% model estimates over time. Relatedly, documented 14 instances where use category level inverted across models (OLQ:PLQ (5), OUQ:OLQ (6), PUQ:PLQ (3)). Irrigation results not statistically different among all models. Overall, our highlight importance quantifying incongruences management.

Language: Английский

Citations

0