Investigating the impacts of climate change on hydroclimatic extremes in the Tar-Pamlico River basin, North Carolina

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 363, P. 121375 - 121375

Published: June 8, 2024

Language: Английский

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Multifractal characterization of meteorological to agricultural drought propagation over India

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

Published: Aug. 14, 2024

Abstract Agricultural drought affects the regional food security and thus understanding how meteorological propagates to agricultural is crucial. This study examines temporal scaling trends of data over 34 Indian sub-divisions from 1981 2020. A maximum Pearson's correlation coefficient (MPCC) derived between multiscale Standardised Precipitation Index (SPI) monthly Soil Moisture (SSMI) time series was used assess seasonal as well annual propagation (DPT). The multifractal characteristics SPI at a scale chosen analysis SSMI-1 were further examined using Multifractal Detrended Fluctuation Analysis (MF-DFA). Results reveal longer average DPT in arid semi-arid regions like Saurashtra Kutch (~ 6 months), Madhya Maharashtra 5 Western Rajasthan whereas, humid Arunachal Pradesh, Assam Meghalaya, Kerala exhibit shorter 2 months). Hurst values greater/less than 0.5 indicates existence long/short-term persistence (LTP/STP) SSMI series. results our highlights inherent connection among time, multifractality, climate variations, offers insights enhance prediction systems India.

Language: Английский

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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

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Stepwise clustering ensemble downscaling for future drought prediction under climate change: A case study of the Yangtze River Basin

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 633, P. 131005 - 131005

Published: March 11, 2024

Language: Английский

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A novel stabilized artificial neural network model enhanced by variational mode decomposing

Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e34142 - e34142

Published: July 1, 2024

Language: Английский

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Assessment of drought hazard change in China under 2°C, 3°C and 4°C temperature rise scenarios based on CMIP6 models

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 23, 2025

Understanding drought responses to global warming can enhance our ability manage risks. In this study, the standardized precipitation evapotranspiration index was computed using 18 climate models from Coupled Model Intercomparison Project Phase 6 (CMIP6). Three characteristics (drought frequency, duration, and intensity) were extracted, hazard (DHI) constructed assess hazards in China for 1995–2014 reference period future 2 °C, 3 °C 4 temperature rise scenarios. Results revealed that frequency eastern monsoon region of higher south, lower north, generally increased with warming. Drought duration intensity northwest southeast China, markedly increasing The DHI relatively high inland coastal China. National average values three scenarios 0.26, 0.31, 0.33, 0.36, respectively. Under scenarios, all regions excluding southeastern Qinghai-Tibet Plateau, would increase compared period. under reach 1.5 times scenario.

Language: Английский

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Global anthropogenic effects on meteorological—hydrological—soil moisture drought propagation: Historical analysis and future projection

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132755 - 132755

Published: Jan. 1, 2025

Language: Английский

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Distribution Prediction and Adaptability Analysis of Section Camellia Plants (Camellia Genus) in China Based on the MaxEnt Model

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

ABSTRACT Sect. Camellia plants, widely distributed across southern China, hold significant economic value through their dual applications in landscape greening, ornamental horticulture, and oilseed production. However, with rapid changes the global climate, it is becoming increasingly important to study habitat distributions of species factors influencing adaptations. Using maximum entropy model, we predicted past, present, future distribution areas suitable habitats for sect. under different climate scenarios. The results revealed that current conditions, total area was 17.04 × 10 5 km 2 , highly 1.95 . strongly influenced by key environmental factors, such as temperature hottest month (Bio5), minimum coldest (Bio6), annual difference (Bio7), slope (Slope). In view change, center expected shift higher latitudes may undergo northward movement adapt new leading an expansion area.

Language: Английский

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Multivariate drought risk assessment of tropical river basin in South India under SSP scenarios

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(7), P. 6843 - 6861

Published: June 8, 2024

Language: Английский

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The response of agricultural drought to meteorological drought modulated by air temperature

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 639, P. 131626 - 131626

Published: July 6, 2024

Language: Английский

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