Spatial and Temporal Variations’ Characteristics of Extreme Precipitation and Temperature in Jialing River Basin—Implications of Atmospheric Large-Scale Circulation Patterns DOI Open Access
Lin Liao, Saeed Rad,

Junfeng Dai

et al.

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

A century-long streamflow reconstruction reveals significant streamflow increases in the upper Yangtze River basin DOI

Jia-Zhi Hu,

Zengliang Luo, Yingying Gao

et al.

CATENA, Journal Year: 2025, Volume and Issue: 250, P. 108774 - 108774

Published: Jan. 31, 2025

Language: Английский

Citations

0
Nonlinear propagation of meteorological to hydrological drought: Contrasting dynamics in humid and semi-arid regions DOI

Yunyun Li,

Qian Deng,

Jianxia Chang

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133012 - 133012

Published: March 1, 2025

Language: Английский

Citations

0
Combined effects of flood, drought and land use dominate water quality and nutrient exports in Jialing River basin, SW China DOI
Xiaoxiao Wang, Ding Liu, Yanhong Wu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 954, P. 176733 - 176733

Published: Oct. 9, 2024

Language: Английский

Citations

1
Spatial and Temporal Variations’ Characteristics of Extreme Precipitation and Temperature in Jialing River Basin—Implications of Atmospheric Large-Scale Circulation Patterns DOI Open Access
Lin Liao, Saeed Rad,

Junfeng Dai

et al.

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

Citations

1