Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(10)
Published: Sept. 6, 2024
Language: Английский
Water Resources Management, Journal Year: 2024, Volume and Issue: 38(10), P. 3785 - 3817
Published: April 17, 2024
Language: Английский
Citations
6
Environmental Science and Ecotechnology, Journal Year: 2024, Volume and Issue: 23, P. 100481 - 100481
Published: Sept. 4, 2024
Language: Английский
Citations
4
Land, Journal Year: 2025, Volume and Issue: 14(2), P. 219 - 219
Published: Jan. 22, 2025
With the accelerating pace of global warming, imperative selecting robust, long-term drought monitoring tools is becoming increasingly pronounced. In this study, we computed Standardized Precipitation Evapotranspiration Index (SPEI) at both 3-month and 12-month temporal scales, utilizing observational data from 102 stations across Xinjiang gridded observations spanning China. Our objective encompassed an assessment efficacy three widely employed meteorological estimation datasets (GMEs) in context over period 1960–2020. Moreover, conducted in-depth examination into origins discrepancies observed within these GMEs. The findings our analysis revealed a notable discrepancy performance among GMEs, with CRU ERA5 exhibiting significantly superior compared to NCEP-NCAR. Specifically, (CC = 0.78, RMSE 0.39 northern Xinjiang) performed excellently capturing regional wet–dry fluctuations effectively occurrence droughts Xinjiang. 0.46, 0.67 southern demonstrates stronger capability reflect dynamics Furthermore, adequacy delineating spatial distribution severity major events varied different years occurrence. While displayed relatively accurate simulations significant Xinjiang, all GMEs exhibited substantial uncertainty when characterizing occurrences All overestimation SPEI before 1990, underestimation value thereafter, Discrepancies potential evapotranspiration (PET) predominantly drove disparities ERA5, whereas precipitation PET influenced primary cause differences stemmed reanalysis data’s inability accurately simulate surface wind speed trends. while captured temperature, precipitation, trends, numerical errors remained non-negligible. These offer crucial insights for dataset selection research risk management provide foundational support refinement enhancement datasets.
Language: Английский
Citations
0
Irrigation and Drainage, Journal Year: 2025, Volume and Issue: unknown
Published: April 4, 2025
ABSTRACT Blue and green water is vital for the economy life. Water scarcity occurs when resource supply insufficient to support human, ecological economic activities within a certain time space. The index quantifies regional blue–green shortages providing new perspective evaluating usage. Moreover, analysing driving factors of changes can offer reliable reference exploring their causes. Taking Qingjiang River as an example, this study first used SWAT model simulate upper River's monthly streamflow. Then, management levels were mapped township scale via GIS calculate scarcities. Finally, geo‐detector detected impacts natural socio‐economic on water. results show that (1) has good simulation accurately describes cycle process in River. (2) From 2010 2022, blue indices stable, whereas increased but then decreased. (3) force interaction stronger than single‐factor effect This examines conditions basin, offering insights township‐scale management.
Language: Английский
Citations
0
Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102367 - 102367
Published: April 11, 2025
Language: Английский
Citations
0
Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102457 - 102457
Published: May 12, 2025
Language: Английский
Citations
0
Hydrology, Journal Year: 2024, Volume and Issue: 11(4), P. 43 - 43
Published: March 25, 2024
The exigency of the current climate crisis demands a more comprehensive approach to addressing location-specific impacts. In Passaic River Basin (PRB), two bodies research—hydroclimatic trend detection and hydrological modeling—have been conducted with aim revealing basin’s hydroclimate patterns as well hydrologic response recent change. rather novel application wavelet transform tool, we sidelined frequently used Mann–Kendal (MK) test, identify hidden monotonic trends in inherently noisy hydroclimatic data. By this approach, use MK test directly on raw data, whose results are almost always ambiguous statistically insignificant respect precipitation for instance, no longer poses challenge reliability results. Our showed that, whereas temperature increasing PRB, streamflow decreasing. Based from modeling, is sensitive actual evapotranspiration (ET) than it precipitation. periods spanning decades sufficient water availability, energy governs rates, rendering increases Conversely, during meteorologically stressed decades, availability dictates evapotranspiration, consequently amplifying sensitivity fluctuations evapotranspiration. We found that choice baseline condition constitutes an important source uncertainty sensitivities changes should routinely be considered any impact assessment.
Language: Английский
Citations
1
Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(10)
Published: Sept. 6, 2024
Language: Английский
Citations
0