Atmospheric Research, Journal Year: 2024, Volume and Issue: 311, P. 107681 - 107681
Published: Sept. 8, 2024
Language: Английский
Atmospheric Research, Journal Year: 2024, Volume and Issue: 311, P. 107681 - 107681
Published: Sept. 8, 2024
Language: Английский
CATENA, Journal Year: 2025, Volume and Issue: 252, P. 108878 - 108878
Published: March 4, 2025
Language: Английский
Citations
2Agricultural Water Management, Journal Year: 2025, Volume and Issue: 310, P. 109367 - 109367
Published: Feb. 13, 2025
Language: Английский
Citations
1Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(3)
Published: Jan. 22, 2025
Language: Английский
Citations
0The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 964, P. 178617 - 178617
Published: Jan. 25, 2025
Language: Английский
Citations
0Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102239 - 102239
Published: Feb. 12, 2025
Language: Английский
Citations
0Water Resources Management, Journal Year: 2024, Volume and Issue: 38(14), P. 5723 - 5737
Published: Aug. 5, 2024
Language: Английский
Citations
2Water, Journal Year: 2024, Volume and Issue: 16(11), P. 1512 - 1512
Published: May 24, 2024
Reference crop evapotranspiration (ET0) is a key factor in ecohydrological processes. Studying the variation trend of ET0 arid river valleys and its influencing factors not only helpful to understanding response dry hot hydrological processes under background climate change but also has important guiding significance for efficient allocation soil water resources stable maintenance ecosystem this area. Based on daily meteorological data three representative stations middle Dry-hot Valley Jinsha River from 1988 2019, are analyzed by quantitative qualitative methods. The results showed that (1) significant fluctuating (Z > 1.98), linear rates were examined Huaping, Yuanmou, Panzhihua. (2) Grey correlation analysis principal component mutually verify mean temperature most influential factor. (3) sensitivity section sub-sections as follows: average temperature, relative humidity, wind speed, sunshine hours. sensitive followed strengthening speed reduction hours least. (4) Among regions, contributed increase Panzhihua, Yuanmou (6.086%), (8.468%) (3.869%), respectively. least
Language: Английский
Citations
1Hydrology Research, Journal Year: 2024, Volume and Issue: 55(9), P. 921 - 935
Published: Aug. 28, 2024
ABSTRACT Groundwater level declines are largely associated with natural processes and human activities. In particular, the drivers of groundwater change can be more complex during meteorological drought owing to However, disentangling their specific contribution remains poorly understood. By focusing on semiarid ecosystems in northern Yellow River Basin – Ordos here we elucidate impact activities propagation droughts systems. To comprehensively analyze variations, employ K-means, categorizing them into four distinct patterns. Based Pearson correlation coefficient analysis between standardized precipitation index (SPI) depth (GWD), found that majority lag time for GWD response SPI is less than 3 months, influencing classified three categories: SPI, related unrelated SPI. Our results reveal both jointly influence across entire region. Notably, have greatest irrigation district Ordos, followed by western part Mu Us sandy land central Ordos. findings guide us formulate effective management policies practices regions.
Language: Английский
Citations
1Atmospheric Research, Journal Year: 2024, Volume and Issue: 311, P. 107681 - 107681
Published: Sept. 8, 2024
Language: Английский
Citations
0