Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 156(1)
Published: Dec. 18, 2024
Language: Английский
Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 281 - 281
Published: Jan. 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
Language: Английский
Citations
1
Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 29, 2025
Language: Английский
Citations
1
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 947, P. 174514 - 174514
Published: July 5, 2024
Language: Английский
Citations
4
Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(5)
Published: April 30, 2025
Language: Английский
Citations
0
Water, Journal Year: 2024, Volume and Issue: 16(11), P. 1490 - 1490
Published: May 23, 2024
Drought is the most complex natural hazard that can occur over large spatial scales and during long time periods. It affects more people than any other hazard, particularly in areas with a dry climate, such as semiarid region of Brazilian Northeast (NEB), which world’s populated area. In this work, we analyzed trends distribution drought characteristics (frequency, affected area, intensity) based on Standardized Precipitation Index (SPI) annual (SPI-12) seasonal (SPI-3) scales. The study used monthly precipitation data recorded between 1962 2012 at 133 meteorological stations Pernambuco State, Brazil, located eastern part NEB has 80% its territory characterized by climate. regions Sertão, Agreste, Zona da Mata were considered for comparison. Mann–Kendall Sen’s slope tests to detect trend determine magnitude, respectively. results indicated droughts state became frequent from 1990s onwards, summer having greatest coverage, followed winter, autumn, spring. Sertão presented greater number significant positive frequency. Regarding drought-affected global events occurred years an scale summer. Trend analysis pointed increase both As intensity, entire experienced high intensity autumn. relationship area result intensity.
Language: Английский
Citations
2
Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112326 - 112326
Published: July 8, 2024
Language: Английский
Citations
2
Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2656 - 2656
Published: Sept. 18, 2024
Effective drought management requires precise measurement, but this is challenging due to the variety of indices and indicators, each with unique methods specific uses, limited ground data availability. This study utilizes remote sensing from 2001 2020 compute categorized as meteorological, agricultural, hydrological. A Gaussian kernel convolves these into a denoised, multi-band composite image. Further refinement enhances single index category: Reconnaissance Drought Index (RDI), Soil Moisture Agricultural (SMADI), Streamflow (SDI). The enhanced index, encompassing all bands, serves predictor for classification regression tree (CART), support vector machine (SVM), random forest (RF) learning models, further improving three indices. CART demonstrated highest accuracy error minimization across categories, root mean square (RMSE) absolute (MAE) values between 0 0.4. RF ranked second, while SVM, though less reliable, achieved below 0.7. results show persistent in Sahel, North Africa, southwestern meteorological affecting 30% agricultural 22%, hydrological 21%.
Language: Английский
Citations
2
Published: Jan. 1, 2024
Language: Английский
Citations
0
Atmosphere, Journal Year: 2024, Volume and Issue: 15(11), P. 1347 - 1347
Published: Nov. 9, 2024
This research explores a new methodological framework that blends the TOPSIS (technique for order of preference by similarity to ideal solution) and Mahalanobis Distance methods, allowing prioritization nine major watersheds in China based on integration multi-dimensional drought indicators. integrated approach offers robust model accounting spatial dependencies between indices, feature not commonly addressed traditional multi-criteria decision-making applications studies. study utilized three indices—the Standardized Precipitation Evapotranspiration Index (SPEI), Vegetation Health (VHI), Palmer Drought Severity (PDSI). Over years significant prevalence, types droughts occurred simultaneously across various multiple years, particularly 2001, 2002, 2006, 2009, with respective counts 16, 17, 19, 18 concurrent episodes. The weights derived from Shannon’s entropy emphasize importance Potential (PDSI) evaluating conditions, PDSI-D (drought duration) assigned highest weight 0.267, closely followed VHI-D (Vegetation under conditions) at 0.232 SPEI-F frequency) 0.183. results demonstrated considerable variability conditions watersheds, Watersheds 1 4 exhibiting vulnerability terms meteorological agricultural droughts, while 6 3 showed resilience hydrological after 2012. In particular, severe Watershed highlight urgent need rainwater harvesting strict water use policies, contrast, show modernization irrigation mitigate impacts. allows targeted management solutions directly relate specific contexts being more conducive planning prioritizing resource allocations regions facing vulnerability.
Language: Английский
Citations
0
Atmosphere, Journal Year: 2024, Volume and Issue: 15(12), P. 1459 - 1459
Published: Dec. 6, 2024
Drought is typically divided into meteorological, agricultural, hydrological, and socioeconomic categories. Generally, the transition from meteorological drought to other types of droughts known as propagation. When propagation occurs, different may still exist simultaneously or successively. In this study, compound are three categories: hydrological (HMD), (MHD), simultaneous (SD). ERA5 CMIP6 data used for analysis under historical future scenarios. Different have emerged in extreme centers basins. Our indicates a significant upward trend duration these 1979 2022. Additionally, our projections SSP5-8.5 SSP2-4.5 suggest substantial increase occurrence various droughts. HMD, MHD SD all show consistent scenario above moderate-drought level. MHDs projected experience most compared period far-future (2066–2099) SSP5-8.5.
Language: Английский
Citations
0