Journal of Hydrology Regional Studies, Год журнала: 2024, Номер 56, С. 102038 - 102038
Опубликована: Ноя. 4, 2024
Язык: Английский
Ecological Informatics, Год журнала: 2024, Номер 82, С. 102681 - 102681
Опубликована: Июнь 17, 2024
As global warming intensifies and extreme weather events become more frequent, the severity of drought conditions in China's Xinjiang region has escalated. This exacerbates socio-economic pressures area presents increasingly formidable challenges for future. In response to these challenges, researching phenomena is imperative. study employs Bayesian methods copula functions estimate propagation time. It utilizes a hybrid deep learning model (CNN-LSTM) analyze process its influencing factors across four land cover types: crops, forest land, grassland, unused land. The findings indicate that Cropland experiences longest average time (5.27 months), while forests have shortest duration (4.2 months). Unused grassland exhibit similar durations (4.8 On an annual scale, each type manifests two phases: from January May June December. former phase shows ranging 6 9 months, latter ranges 1 5 months; both demonstrate increasing trend over Seasonally, all Land Cover Types pattern shorter times summer autumn compared with winter spring. Moreover, longer correlates greater disparity between meteorological resultant agricultural severity. analyzing influence on propagation, soil moisture content El Niño-Southern Oscillation(ENSO) were found significantly impact Types, progressively strengthening their years.
Язык: Английский
Процитировано
8
Ecological Informatics, Год журнала: 2025, Номер unknown, С. 102992 - 102992
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Remote Sensing, Год журнала: 2025, Номер 17(2), С. 281 - 281
Опубликована: Янв. 15, 2025
Analysis of the temporal relationship between meteorological drought and hydrological is crucial in monitoring water resource availability. This study examined linear lagged relationships spread to their joint effects on low-flow variability Oum Er-Rbia (OER) watershed. To this end, random forest (RF) model statistical methods were used characteristics indices at monthly, seasonal, annual scales. The various analyses revealed that mainly a function time scale considered, choice describe each type season considered. surface snow cover synchronized with In contrast, transition from groundwater has lag 1 month statistically significant up t − 5 + 5, i.e., 6 months. correlation rainfall deficit monthly storage index was lowest (0.15) December highest (0.83) March. suggests seasonal response cumulative precipitation deficits. RF analysis highlighted importance regarding severity drought. longer scales have greater impact drought, contribution approximately 10% per index. However, relative contributions factors rarely exceed 5%. Thus, by exploring for first complex interactions among regimes, factors, provides new perspective understanding propagation severe
Язык: Английский
Процитировано
1
Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 58, С. 102214 - 102214
Опубликована: Фев. 6, 2025
Язык: Английский
Процитировано
0
npj natural hazards., Год журнала: 2025, Номер 2(1)
Опубликована: Март 4, 2025
Язык: Английский
Процитировано
0
Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 133012 - 133012
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0
International Journal of Disaster Risk Science, Год журнала: 2025, Номер unknown
Опубликована: Апрель 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.
Язык: Английский
Процитировано
0
Journal of Hydrology Regional Studies, Год журнала: 2024, Номер 56, С. 102050 - 102050
Опубликована: Ноя. 7, 2024
Язык: Английский
Процитировано
1
Journal of Hydrology Regional Studies, Год журнала: 2024, Номер 56, С. 102038 - 102038
Опубликована: Ноя. 4, 2024
Язык: Английский
Процитировано
0