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

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Regulation of climatic variables and drought on vegetation dynamics in China from 2001 to 2020

Ecological Indicators, Journal Year: 2024, Volume and Issue: 165, P. 112094 - 112094

Published: June 7, 2024

Language: Английский

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Drought Variabilities in Saudi Arabia: Unveiling Spatiotemporal Trends through Observations and Projections

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Language: Английский

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Remote sensing-based spatiotemporal dynamics of agricultural drought on Prince Edward Island using Google Earth engine

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103073 - 103073

Published: Feb. 1, 2025

Language: Английский

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Deciphering Spatiotemporal Dynamics of Vegetation Drought Resilience in China

Forests, Journal Year: 2025, Volume and Issue: 16(5), P. 843 - 843

Published: May 19, 2025

Under accelerated global warming, frequent droughts pose mounting threats to vegetation productivity, yet the spatiotemporal patterns and primary controls of drought resilience (DR) in China remain insufficiently quantified. This study aimed characterize DR trends across Köppen–Geiger climate zones from 2001 2020 identify dominant drivers their interactions. We constructed a hazard–exposure–adaptability framework, combining multi-source satellite observations station data. A Bayesian-optimized Light Gradient Boosting Machine (LightGBM, version 4.3.0) model was trained under five-fold cross-validation. Shapley Additive exPlanations (SHAP) analysis decomposed each driver’s main interaction effects on DR. The results indicated that better tropical regions, whereas arid polar regions require more attention. From 2020, 45.3% China’s land area saw increases, while 36.4% declined. key influencing were temperature, sunlight hours, potential evapotranspiration, precipitation. Notably, an increase hours often accompanied by decrease precipitation, resulting suboptimal China. When normalized precipitation fell within range 0.12 0.65, elevated temperature exhibited inhibitory effect Overall, this established assessment elucidated its dynamics, revealed driver interactions, offering timely insights for ecosystem research management face change.

Language: Английский

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Attribution analysis and forecast of salinity intrusion in the Modaomen estuary of the Pearl River Delta

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: May 14, 2024

Under the influence of climate change and human activities, intensification salinity intrusion in Modaomen (MDM) estuary poses a significant threat to water supply security Greater Bay Area Guangdong, Hong Kong, Macao. Based on daily exceedance time data from six stations MDM waterway for years 2016-2020, this study conducted Empirical Orthogonal Function (EOF) decision tree analyses with runoff, maximum tidal range, wind. It investigated variation characteristics key factors influencing intrusion. Additionally, Long Short-Term Memory (LSTM) networks Convolutional Neural Networks (CNN) were employed predict severity The results indicated that: (1) first mode (PC1) obtained EOF decomposition explained 89% chlorine time, effectively reflecting temporal changes intrusion; (2) largest contributor was runoff (40%), followed by wind speed, direction, contributing 25%, 20%, 15%, respectively. Salinity lagged behind 1-day, range 3 days, 2 days; North Pacific Index (NPI) has strongest positive correlation saltwater among 9 atmospheric circulation factors. (3) LSTM achieved highest accuracy an R 0.89 horizon 1 day. For horizons days CNN exhibited values 0.73 0.68, This provides theoretical support basin scheduling prediction serves as reference ensuring coastal areas.

Language: Английский

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Drought Monitoring Using MODIS Derived Indices and Google Earth Engine Platform for Vadodara District, Gujarat

Journal of the Indian Society of Remote Sensing, Journal Year: 2024, Volume and Issue: 52(9), P. 1885 - 1900

Published: June 21, 2024

Language: Английский

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Spatial and Temporal Variations’ Characteristics of Extreme Precipitation and Temperature in Jialing River Basin—Implications of Atmospheric Large-Scale Circulation Patterns

Water, Journal Year: 2024, Volume and Issue: 16(17), P. 2504 - 2504

Published: Sept. 3, 2024

In recent years, extreme climate events have shown to be occurring more frequently. As a highly populated area in central China, the Jialing River Basin (JRB) should deeply explored for its patterns and associations with climatic factors. this study, based on daily precipitation atmospheric temperature datasets from 29 meteorological stations JRB vicinity 1960 2020, 10 indices (6 4 indices) were calculated. The spatial temporal variations of analyzed using Mann–Kendall analysis, explore correlation between circulation linear nonlinear perspectives via Pearson analysis wavelet coherence (WTC), respectively. Results revealed that among six selected indices, Continuous Dry Days (CDD) Wetness (CWD) showed decreasing trend, tended shorter calendar time, while other four an increasing intensity rainfall frequent. except TN10p, which significant three number low-temperature days decreased significantly, duration high increased, basin was warming continuously. Spatially, variation is obvious, mostly located western northern regions, southern northeastern makes regionalized. Linearly, most index, show trend significance obvious. Except Southern Oscillation Index (SOI), correlations Arctic (AO) has strongest CDD. Nonlinearly, NINO3.4, Pacific Decadal (PDO), SOI are not main dominating changes TN90p, average (SDII), maximum amount (RX1day), 5 (Rx5day) clearly associated patterns. This also confirms tend single relationship, but governed by complex response mechanisms. study aims help relevant decision-making authorities cope frequent JRB, provides reference predicting flood, drought waterlogging risks.

Language: Английский

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Temporal and spatial characteristics of ecological drought in the Inland River Basin and its driving factors

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

Published: Nov. 21, 2024

Most of the previous studies only used index vegetation growth to characterize ecological drought. This study built a Standardized Ecological Water Deficit Index (SEWDI) , analysed its space–time evolution characteristics from perspectives time, space and spatio-temporal coupling, extractes feature variables by three-dimensional clustering, typical drought events, effect teleconnection factors on was investigated using cross wavelet analysis . The reliability SEWDI quantitatively evaluated comparing r values Precipitation (SPI), Evapotranspiration (SPEI), Soil Moisture (SSMI), self-calibrating Palmer Drought Severity (scPDSI), with Solar-induced Fluorescence (SSIF) at various scales in time.The results demonstrated that: (1) Inland River Basin showed weakening trend 1982 2015. Seasonal wetting west east, is most evident spring. It may be related policy returning farmland forest eastern part IRB Inner Mongolia Autonomous Region. (2) Three-dimensional recognition method could extract more detailed characteristic events. A total 133 events occurred during 1982–2015, had longer duration intensity after twenty-first century. (3) June 2005 February 2007 severe event record, which lasted for 21 months. 44.65 × 105 month·km2, area 23.79 104km2. 2005, intensified September attenuated 2006, re-intensified August 2006 re-attenuated (extinction) 2007. migration spread northeast (4) Among teleconnecting factors, ENSO has complex greatest influence Basin. (5) In addition having high correlation other indexs, can also accurately reflect effects vegetation. When occur, precipitation decreases significantly. However, soil moisture ignored this study, aims provide ideas calculating small watershed. How calculate water deficiency different regions focus future work.

Language: Английский

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Temporal and spatial characteristics of ecological drought in the Inland River Basin and its driving factors

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 3, 2024

Most of the previous studies only used index vegetation growth to characterize ecological drought. This study built a Standardized Ecological Water Deficit Index (SEWDI), analysed its space-time evolution characteristics from perspectives time, space and spatio-temporal coupling, extractes feature variables by three-dimensional clustering, typical drought events, effect teleconnection factors on was investigated using cross wavelet analysis. The reliability SEWDI quantitatively evaluated comparing r values Precipitation (SPI), Evapotranspiration (SPEI), Soil Moisture Index(SSMI), self-calibrating Palmer Drought Severity (scPDSI), with Solar-induced Fluorescence (SSIF) at various scales in time.The results demonstrated that: (1) Inland River Basin showed weakening trend 1982 2015. Seasonal wetting west east, is most evident spring. (2) Three-dimensional recognition method could extract more detailed characteristic events. A total 133 events occurred during 1982–2015, had longer duration intensity after 21st century. (3) June 2005 February 2007 severe event record, which lasted for 21 months. 44.65×10⁵month·km², area 23.79×10⁴km². 2005, intensified September attenuated 2006, re-intensified August 2006 re-attenuated (extinction) 2007. migration spread northeast (4) Among teleconnecting factors, ENSO has complex greatest influence Basin. (5) In addition having high correlation other indexs, can also accurately reflect effects vegetation.

Language: Английский

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