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Article

Spatiotemporal Evolution of Groundwater and Vegetation Response Driving Mechanism in the Tarim River Basin Based on Multi-Source Remote Sensing

1
College of Civil and Hydraulic Engineering, Bengbu University, Bengbu 233000, China
2
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
3
Department of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND 58108, USA
*
Authors to whom correspondence should be addressed.
Water 2026, 18(17), 2200; https://doi.org/10.3390/w18172200
Submission received: 17 June 2026 / Revised: 15 August 2026 / Accepted: 2 September 2026 / Published: 4 September 2026
(This article belongs to the Special Issue Advances in Ecohydrology in Arid Inland River Basins, 2nd Edition)

Abstract

As the largest inland river basin in China’s extremely arid region, the stability of the groundwater–vegetatifon system in the Tarim River Basin is crucial for the consolidation of the ecological security barrier in the northwest. To reveal the evolution law of groundwater storage in the watershed from 2003 to 2024 and its response mechanism to vegetation dynamics, this study is based on GRACE gravity satellite, GLDAS land surface assimilation and MODIS remote sensing data. The Theil Sen trend analysis, Hurst index, spatiotemporal Granger causality test, and standardized multiple linear regression model are integrated to systematically analyze the spatiotemporal heterogeneity, future evolution trend, and multi-driving factor contribution pattern of groundwater storage (GWSA) in the watershed. The results showed that: (1) During the study period, the GWSA of the watershed showed a significant downward trend, with a rate of −3.5 mm/a, and experienced a spatial redistribution process of “comprehensive loss local recovery southern compensation northern loss”. The northern and peripheral regions faced new depletion risks. (2) The vegetation condition continues to improve, and the VCI gradually rises from the low to medium range, but the spatial heterogeneity increases synchronously; there is a significant spatial positive correlation between VCI and GWSA, with only a strong lag driving effect in the southwestern region (F > 40). The explanatory power of vegetation factors for groundwater in other regions is limited. (3) Future trend predictions show that over 70% of the region will continue in the direction of historical changes, and the continuous loss trend in the north is difficult to reverse. (4) There is significant spatial differentiation in the contribution rate of driving factors: vegetation conditions (VCI) are the dominant factor, controlling 57.53% of the watershed edge and eastern region; precipitation and temperature dominate the central region (24.94%) and southwestern desert areas (17.53%), respectively. The research results can provide scientific basis for differentiated ecological water delivery and refined management of water resources in the Tarim River Basin.
Keywords: GRACE; groundwater storage capacity; spatiotemporal granger causality; driving mechanism GRACE; groundwater storage capacity; spatiotemporal granger causality; driving mechanism

Share and Cite

MDPI and ACS Style

Han, Q.; Khanaum, M.M.; Ou, Y.; Zhang, X.; Cheng, X. Spatiotemporal Evolution of Groundwater and Vegetation Response Driving Mechanism in the Tarim River Basin Based on Multi-Source Remote Sensing. Water 2026, 18, 2200. https://doi.org/10.3390/w18172200

AMA Style

Han Q, Khanaum MM, Ou Y, Zhang X, Cheng X. Spatiotemporal Evolution of Groundwater and Vegetation Response Driving Mechanism in the Tarim River Basin Based on Multi-Source Remote Sensing. Water. 2026; 18(17):2200. https://doi.org/10.3390/w18172200

Chicago/Turabian Style

Han, Qiang, Mosammat Mustari Khanaum, Yang Ou, Xiaoyu Zhang, and Xinru Cheng. 2026. "Spatiotemporal Evolution of Groundwater and Vegetation Response Driving Mechanism in the Tarim River Basin Based on Multi-Source Remote Sensing" Water 18, no. 17: 2200. https://doi.org/10.3390/w18172200

APA Style

Han, Q., Khanaum, M. M., Ou, Y., Zhang, X., & Cheng, X. (2026). Spatiotemporal Evolution of Groundwater and Vegetation Response Driving Mechanism in the Tarim River Basin Based on Multi-Source Remote Sensing. Water, 18(17), 2200. https://doi.org/10.3390/w18172200

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