Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 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
0Published: Jan. 1, 2024
Language: Английский
Citations
0