Yvxiang Liu

Dr. Yvxiang Liu


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 October 2026 in Water
Verified
Journal Article
Open access
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ZJZhenxing Jia
Zhenxing Jia
HZHongfei Zang
Hongfei Zang
XZXuetong Zhao
Xuetong Zhao
YLYvxiang Liu
Yvxiang Liu
Zhenxing WangZhenxing Wang
Zhenxing Wang
DLDong Li
Dong Li
Karst springs are vital water sources in arid and semi-arid regions, with discharge governed by natural recharge conditions and increasingly influenced by human activities. This study investigates Liulin Spring on the eastern margin of the Ordos Basin using hydro-meteorological data (1956–2024), groundwater extraction records (1974–2024), and a restored discharge series that removes the direct effect of abstraction. Evolutionary patterns, drivers, and lagged responses were analysed using the trend-free pre-whitening Mann–Kendall test, Pettitt and moving t-tests, double-mass curve analysis, and detrended and prewhitened cross-correlation, and a parsimonious multiple linear regression (MLR) model with a persistence benchmark and independent temporal validation was constructed for prediction. The results reveal a significant seven-decade decline in four stages—stability, sharp decline, gradual attenuation, and rebound—with a historic minimum of 1.17 m3/s in 2021. Double-mass analysis showed the precipitation–response slope falling to 18.2% of the natural baseline (1956–1973), indicating that the precipitation–discharge relationship has been severely weakened under sustained anthropogenic disturbance; the contrast between the observed and restored double-mass curves identifies groundwater abstraction as the principal stressor, while the individual contributions of coal mine dewatering, land-use change, and other factors cannot be separated by this analysis alone. The restored discharge is strongly persistent (lag-1 ACF = 0.9392); after linear detrending and AR prewhitening, the robust lagged response to precipitation and river runoff concentrates at approximately 2 years, whereas the previously reported multi-decadal correlation peaks are artefacts of the common trend and autocorrelation. The MLR model (training R2 = 0.925) is outperformed by a persistence baseline for one-step-ahead prediction but provides skilful multi-step scenario forecasts; hindcast errors for 2023–2024 are below 0.24 m3/s. Scenario forecasts for 2025–2027 under dry, normal, and wet precipitation conditions (1.33–1.63 m3/s) suggest a stable-to-weak stage rather than a sustained recovery. This study provides a methodological reference for attribution and lag analysis of analogous karst springs, for which the model parameters require site-specific recalibration.