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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Diverse vegetation response to meteorological drought from propagation perspective using event matching method

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132776 - 132776

Published: Jan. 1, 2025

Language: Английский

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Ecological drought sensitivity assessment of winter wheat in the Huang-Huai-Hai plain, China

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 12, 2025

Language: Английский

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Spatiotemporal changes and interconnections between meteorological and hydrological droughts in China over past 34 years

Water Science and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Soil moisture drought and diverse impacts on vegetation across the Tibetan Plateau in recent three decades

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 963, P. 178367 - 178367

Published: Jan. 15, 2025

Language: Английский

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Predicting the risk and trigger thresholds for propagation of meteorological droughts to agricultural droughts in China based on Copula-Bayesian model

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 313, P. 109468 - 109468

Published: April 8, 2025

Language: Английский

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Concept and method of drought disaster risk measurement based on drought propagation level--a case study of AnHui Province

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112286 - 112286

Published: June 22, 2024

In view of the difficulties in quantification drought and its potential impact on disaster, as well challenges applying scenario simulation technology regional risk assessment, we proposes a fuzzy identification model disaster coupling improved Monte-Carlo Grey Wolf Optimization-Back Propagation (GWO-BP) neural network based disaster-forming process, aiming to seek quantitative relationship between disasters through numerous simulations. Meanwhile, also constructed joint probability distribution disasters, which can calculate conditional different grades leading then, measurement(DDRM) level propagation, by combining achievements above determination inhibitory or promoting mechanism process. Finally, conducted an empirical study new method using Anhui Province research object. The results show that: (1) incorporates Copula function rank correlation coefficient, generate indicator sequences with maintain similar original samples. (2) not only elucidate propagation pattern factors simulations, but effectively address limitations traditional that heavily relies long statistical data. (3) DDRM absolutely quantify magnitude inhibiting effects during formation make assessment comparable among regions. resultant findings offer crucial insights for pertinent decision-makers alleviate adverse disaster.

Language: Английский

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Examining future spatiotemporal changes in blue and green water using an enhanced SWAT model: A Jialing River basin case study

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 112941 - 112941

Published: Dec. 12, 2024

Language: Английский

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Meteorological drought predictability dynamics and possible driving mechanisms in a changing environment in the Loess Plateau, China

Atmospheric Research, Journal Year: 2024, Volume and Issue: 315, P. 107842 - 107842

Published: Dec. 8, 2024

Language: Английский

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