Triggering thresholds and influential factors in the propagation of meteorological drought to hydrological drought

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 57, P. 102184 - 102184

Published: Jan. 11, 2025

Language: Английский

---

Evaluating the impacts of climate change and land-use change on future droughts in northeast Thailand

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 28, 2024

Abstract The impacts of climate change (CC) on droughts are well documented, but the effects land-use (LUC) poorly understood. This study compares projected individual and combined these stressors future (2021–2050), with respect to baseline (1981–2010) in one major tributaries Mekong River. LUC hydrological minimal compared CC, latter expected shorten recurrence interval a 20-year return period event every 14 years. Both CC have significant agricultural heightened sensitivity. ‘Once Decade’ will be 40% (35%) longer 88% (87%) more severe under scenario. Under both stressors, events occurring 20 years twice as frequent. Results highlight intensification urgency for actions mitigate/adapt manage land use. Future policy shall holistically address water management, sustainable use crop management cope droughts. We recommend developing resilient practices, enhanced resource strategies, incorporating drought risk into planning mitigate compounded LUC.

Language: Английский

---

Recent development on drought propagation: A comprehensive review

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132196 - 132196

Published: Oct. 1, 2024

Language: Английский

---

Spatiotemporal evolution of drought status and its driving factors attribution in China

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 958, P. 178131 - 178131

Published: Dec. 19, 2024

Language: Английский

---

Drought Driving Factors as Revealed by Geographic Detector Model and Random Forest in Yunnan, China

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 505 - 505

Published: March 12, 2025

Yunnan Province, as a critical ecological security barrier in China, has long been highly susceptible to drought events. Characterizing the spatiotemporal distributions of and identifying its driving factors is crucial. Due complexity occurrence, linear correlation analysis alone insufficient quantify drivers their interactions. This study used Standardized Precipitation Evapotranspiration Index (SPEI) indicator analyze trends across six major river basins. The geographic detector model (GDM) random forest (RF) were utilized impacts meteorological, topographical, soil, human activities on drought, well interactions among these factors. results showed that 63.61% area exhibits significant drying trend (p-value < 0.05), with Jinsha River Basin (JSRB) experiencing highest frequency extreme (PRE), temperature, potential evapotranspiration (PET), vapor pressure deficit (VPD), relative humidity (RH) identified primary controlling factor displaying nonlinear enhancement effects. PRE plays dominant role Yunnan, whereas elevation primarily influenced severity JSRB, Lancang (LCRB), Nujiang (NJRB). RF-based SPEI prediction demonstrated superior performance simulating short-term (SPEI_1, R2 > 0.931, RMSE 0.279), particularly JSRB (R2 = 0.947 0.228). These findings provide scientific basis for regional water resource management applications early warning systems, offering robust framework understanding mitigating ecologically sensitive regions.

Language: Английский

---

Dynamic evolution of meteorological and hydrological droughts under climatic and anthropogenic pressures in water‐scarce regions

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(10)

Published: Oct. 1, 2024

Abstract Climate change and anthropogenic influences amplify drought complexity, entangle non‐stationarity (NS) further challenge comprehension. This study aims to understand the dynamic evolution of propagation patterns due climatic pressures by assessing non‐stationary linkages between hydrological variables characteristics. It employs four standardized indicators comprehensively examine spatio‐temporal meteorological (MD) (HD) Data from 29 semi‐arid catchments six river basins in Peninsular India, are analyzed uncover distinct patterns. utilizes a novel Non‐overlapping Block‐stratified Random Sampling (NBRS) approach detect NS characteristics variables, shedding light on underlying drivers this behavior. The results indicate similarities behavior for Sabarmati, Mahi Tapi (SMT) compared with Godavari, Krishna Pennar (GKP) basins, shorter (longer) times noted SMT basins. While HD severity decreases over time it intensifies GKP which linked intensive interventions such as regulation reservoir operations, thus resulting prolonged intensified droughts. Rainfall primarily exhibits time‐invariance, while significant is observed potential evapotranspiration (particularly basins), streamflow baseflow across all also identified three these highlighting cases where MD did not transition HD, instances occurring without preceding synchronous HD. outcomes provide profound insights into dynamics under pressures, will aid policymakers stakeholders formulating strategies preparedness response.

Language: Английский

---

Impact of human activities on the propagation dynamics from meteorological to hydrological drought in the Nenjiang River Basin, Northeast China

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102214 - 102214

Published: Feb. 6, 2025

Language: Английский

---

Phenology-Optimized Drought Index Reveals the Spatio-Temporal Patterns of Vegetation Health and Its Attribution on the Loess Plateau

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(5), P. 891 - 891

Published: March 3, 2025

Frequent droughts pose a severe threat to the ecological health and sustainable development of Loess Plateau (LP). The accurate assessment impact drought on vegetation is crucial for diagnosing health. Traditional methods often rely coarse estimations based averages indices, overlooking spatial differentiation complex phenology. This study proposes vegetative method that considers phenological characteristics using MODIS EVI LST data products. First, start end growing season timepoints were extracted from Enhanced Vegetation Index (EVI) Savitzky–Golay (S–G) filtering dynamic threshold method, determining growing-time window each pixel. Next, Health (VHI) series was calculated pixel within season. mean value VHI then used construct Growing Season (GSHI). Based GSHI, long-term at LP revealed. Finally, we integrated Optimal Parameters-based Geographical Detector (OPGD) identify quantify multiple driving forces drought. results showed that: (1) spatio-temporal difference phenology significant, exhibiting distinct zonal characteristics; (2) distribution presented “humid southeast, arid northwest” pattern, with early 21st century being period high occurrence; (3) has been alleviated in large-scale natural areas, but local effect under urbanization intensifying; (4) meteorology topography influence by regulating water redistribution, while human activities intensifying.

Language: Английский

---

Regionalization of hydrological cycle changes in 31 source catchments of Yellow River Basin considering multiple hydrological variables

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102340 - 102340

Published: April 3, 2025

Language: Английский

---

Modified drought propagation under a changing environment: A case study in the Dongting Lake basin, China

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 56, P. 101986 - 101986

Published: Oct. 12, 2024

Language: Английский

---