Meteorological drought predictability dynamics and possible driving mechanisms in a changing environment in the Loess Plateau, China DOI
Yi‐Ting Wang,

Shengzhi Huang,

Vijay P. Singh

и другие.

Atmospheric Research, Год журнала: 2024, Номер 315, С. 107842 - 107842

Опубликована: Дек. 8, 2024

Язык: Английский

Recent development on drought propagation: A comprehensive review DOI

Zhou Zhaoqiang,

Ping Wang,

Li Linqi

и другие.

Journal of Hydrology, Год журнала: 2024, Номер unknown, С. 132196 - 132196

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

9

Concept and method of drought disaster risk measurement based on drought propagation level--a case study of AnHui Province DOI Creative Commons
Wentao Xu, Ming Tang, Junliang Jin

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112286 - 112286

Опубликована: Июнь 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.

Язык: Английский

Процитировано

4

Soil moisture drought and diverse impacts on vegetation across the Tibetan Plateau in recent three decades DOI
Yongwei Liu, Xingwang Fan, Wen Wang

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 963, С. 178367 - 178367

Опубликована: Янв. 15, 2025

Язык: Английский

Процитировано

0

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

Qianzuo Zhao,

Xuan Zhang, Chong Li

и другие.

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132776 - 132776

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

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

Xiu Cao,

Yulu Zhang

и другие.

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(3)

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0

Predicting the risk and trigger thresholds for propagation of meteorological droughts to agricultural droughts in China based on Copula-Bayesian model DOI Creative Commons
Cuiping Yang, Changhong Liu, Xuguang Xing

и другие.

Agricultural Water Management, Год журнала: 2025, Номер 313, С. 109468 - 109468

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0

Spatiotemporal changes and interconnections between meteorological and hydrological droughts in China over past 34 years DOI Creative Commons
Ke Zhang, Zhilin Li, Wuzhi Shi

и другие.

Water Science and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Examining future spatiotemporal changes in blue and green water using an enhanced SWAT model: A Jialing River basin case study DOI Creative Commons
Mingyan Wu, Fuquan Ni, Yu Deng

и другие.

Ecological Indicators, Год журнала: 2024, Номер 170, С. 112941 - 112941

Опубликована: Дек. 12, 2024

Язык: Английский

Процитировано

3

Meteorological drought predictability dynamics and possible driving mechanisms in a changing environment in the Loess Plateau, China DOI
Yi‐Ting Wang,

Shengzhi Huang,

Vijay P. Singh

и другие.

Atmospheric Research, Год журнала: 2024, Номер 315, С. 107842 - 107842

Опубликована: Дек. 8, 2024

Язык: Английский

Процитировано

0