Impact of climate change and land use/cover change on water yield in the Liaohe River Basin, Northeast China

Journal of Arid Land, Год журнала: 2025, Номер 17(2), С. 182 - 199

Опубликована: Фев. 1, 2025

Язык: Английский

Spatiotemporal Pattern of Soil Moisture and Its Association with Vegetation in the Yellow River Basin

Water, Год журнала: 2025, Номер 17(7), С. 1028 - 1028

Опубликована: Март 31, 2025

Soil moisture (SM) plays a crucial role in the hydrological and ecological processes of Yellow River Basin (YRB), with its spatiotemporal distribution variability serving as key factors for understanding ecosystem responses to environmental changes. However, previous research has often overlooked variation SM across different soil layers complex bidirectional interactions between vegetation, particularly indicated by Normalized Difference Vegetation Index (NDVI), within vegetation zones layers. Widely used fields such agriculture water cycle research, GLDAS dataset been applied analyze patterns at four depths (0–10 cm, 10–40 40–100 100–200 cm) YRB from 1948 2022, revealing continuous increase over time, more pronounced changes after identified breakpoints (1985 cm layer, 1986 other layers). Granger causality tests show that interaction NDVI dominates all regions, far surpassing unidirectional effects on or vice versa. Regardless whether is primary variable, Temperate Evergreen Broadleaf Forest (TEBF) region consistently exhibits strongest lag layers, followed Qinghai-Tibet Plateau Alpine (QTPAV) Desert Region (TDR). The Subtropical Warm Deciduous (SWTDF) Grassland (TGR) weakest effects. This offers new insights into mutual feedback hydrology provides scientific basis effective resource management.

Язык: Английский

Explainable transfer learning for subsurface soil moisture prediction

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 133473 - 133473

Опубликована: Май 1, 2025

Язык: Английский