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

Trends in Flow Intermittency, Variability, and Seasonality for Taiwan Rivers DOI Open Access

Hsin-Yu Chen,

Xi Fang,

Hsin‐Fu Yeh

et al.

Water, Journal Year: 2025, Volume and Issue: 17(2), P. 271 - 271

Published: Jan. 18, 2025

In Taiwan, rivers have steep slopes and short lengths, making it difficult to retain water in the rivers. Therefore, understanding flow characteristics is essential. This study analyzes data from 65 stations with over 30 years of records characterize annual mean number low-flow days, variability, seasonality occurrences. The analysis uses indices such as intermittency ratio, Richards–Baker flashiness index, six-month dry period (SD6) evaluates trends these using Mann–Kendall test. results show that nearly 70% an ratio less than 0.1, although days has significantly increased time. Stations southwestern watersheds exhibit higher variability; however, variability are not statistically significant. Low-flow events predominantly occur during season, 68% experiencing them between January March. findings on their long-term provide references for river management resource planning future.

Language: Английский

Citations

0
Future groundwater drought analysis under data scarcity using MedCORDEX regional climatic models and machine learning: The case of the Haouz Aquifer DOI Creative Commons

El Bouazzaoui Imane,

Ait Elbaz Aicha,

Yassine Ait Brahim

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102249 - 102249

Published: Feb. 18, 2025

Language: Английский

Citations

0
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