Atmospheric Research, Journal Year: 2023, Volume and Issue: 299, P. 107193 - 107193
Published: Dec. 19, 2023
Language: Английский
Atmospheric Research, Journal Year: 2023, Volume and Issue: 299, P. 107193 - 107193
Published: Dec. 19, 2023
Language: Английский
Journal of Hydrology, Journal Year: 2024, Volume and Issue: 650, P. 132492 - 132492
Published: Dec. 12, 2024
Language: Английский
Citations
6The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 873, P. 162303 - 162303
Published: Feb. 18, 2023
Language: Английский
Citations
12Ecological Indicators, Journal Year: 2024, Volume and Issue: 165, P. 112221 - 112221
Published: June 11, 2024
Language: Английский
Citations
4Agricultural Water Management, Journal Year: 2025, Volume and Issue: 312, P. 109452 - 109452
Published: April 2, 2025
Language: Английский
Citations
0Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(32), P. 79049 - 79066
Published: June 6, 2023
Language: Английский
Citations
10Published: Jan. 1, 2025
Language: Английский
Citations
0Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102277 - 102277
Published: March 8, 2025
Language: Английский
Citations
0International Journal of Disaster Risk Science, Journal Year: 2025, Volume and Issue: unknown
Published: April 7, 2025
Abstract Drought is one of the most complicated natural hazards and among those that pose greatest socioeconomic risks. How long-term climate change on a large scale affects different types drought has not been well understood. This study aimed to enhance comprehension this critical issue by integrating run theory for identification, Mann-Kendall trend analysis, partial correlation attribution methods analyze global dynamics in 1901–2018. Methodological innovations include: (1) standardized severity metric enabling cross-typology comparisons; (2) quantitative separation precipitation temperature impacts. Key findings reveal exceeded meteorological, agricultural, hydrological droughts 350.48%, 47.80%, 14.40%, respectively. Temporal analysis Standardized Precipitation Evapotranspiration Index (SPEI) trends demonstrated intensification gradients: SPEI24 (− 0.09 slope/100 yr) > SPEI01 0.088/100 SPEI06 0.087/100 SPEI12 0.086/100 yr). Climate drivers exhibited distinct patterns, with showing stronger correlations across all (meteorological: 0.78; agricultural: 0.76; hydrological: 0.60; socioeconomic: 0.39) compared − 0.45; 0.38; 0.27; 0.18). These results quantitatively establish hierarchical response gradient types. The framework advances typology through three original contributions: systematic quantification disparities; precipitation-temperature influence partitioning types; (3) identification as climate-decoupled yet fastest-intensifying type. refined typological theories provides methodological foundation climate-resilient management planning.
Language: Английский
Citations
0Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102359 - 102359
Published: April 8, 2025
Language: Английский
Citations
0Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(6)
Published: May 7, 2025
Language: Английский
Citations
0