Wetter trend in source region of Yangtze River by runoff simulating based on Grid-RCCC-WBM

Journal of Hydrology, Год журнала: 2024, Номер 631, С. 130702 - 130702

Опубликована: Янв. 23, 2024

Язык: Английский

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Study on the evolution of shallow groundwater levels and its spatiotemporal response to precipitation in the Beijing Plain of China based on variation points

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112466 - 112466

Опубликована: Авг. 12, 2024

Язык: Английский

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Enhanced Spatial Dry–Wet Contrast in the Future of the Qinghai–Tibet Plateau

Hydrological Processes, Год журнала: 2025, Номер 39(2)

Опубликована: Фев. 1, 2025

ABSTRACT The geographical uniqueness of the Qinghai–Tibet Plateau (QTP) determines its significance as ‘Asia's Water Tower’. It is expected that climate change in this area will cause extreme weather occurrences, stress water resources and increase vulnerability ecosystems future. However, precise quantitative impact on QTP remains uncertain. In study, using coupled model intercomparison project (CMIP) phase 6 multi‐model data a distributed time‐variant gain hydrological (DTVGM), we examined spatiotemporal attributes hydrology across under various socioeconomic progress trajectories greenhouse gas emission scenarios (SSP1‐2.6, SSP2‐4.5, SSP3‐7.0 SSP5‐8.5). Over next 80 years, an overall warming trend was observed QTP, accompanied by decrease annual total resources. drier arid regions, wetter are humid regions future QTP. Runoff 74.92% region, evaporation 84.93% from 2020 to 2099. SSP5‐8.5, precipitation rate −6.22 mm/10a, runoff −8.84 mm/10a. After year abrupt (2052–2064), became significantly faster. approximately 58.00% surface runoff. Unlike trend, displayed fluctuating upward pattern, with average 2.78 Spatially, variations dry–wet conditions more evident, showing substantial noteworthy northeastern plateau. southeastern region Yarlung Tsangpo River Basin, rates were notably higher than those other regions. Moreover, there significant surge areas adjacent glaciers. conclusion, study offers valuable insights into decision‐making concerning developmental region.

Язык: Английский

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Improve streamflow simulations by combining machine learning pre-processing and post-processing

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132904 - 132904

Опубликована: Фев. 1, 2025

Язык: Английский

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Integrating multi-model frameworks to unravel the spatiotemporal dynamics of flash floods in the Tianshan Mountain, China

Ecological Indicators, Год журнала: 2025, Номер 172, С. 113259 - 113259

Опубликована: Фев. 26, 2025

Язык: Английский

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Runoff spatiotemporal variability driven by climate change and human activity for the Nianchu River Basin in Southwestern Tibet

Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 58, С. 102301 - 102301

Опубликована: Март 6, 2025

Язык: Английский

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A novel remote Sensing-Based calibration and validation method for distributed hydrological modelling in ungauged basins

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 133119 - 133119

Опубликована: Март 1, 2025

Язык: Английский

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Assessing climate change and human impacts on runoff and hydrological droughts in the Yellow River Basin using a machine learning-enhanced hydrological modeling approach

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125091 - 125091

Опубликована: Март 28, 2025

Язык: Английский

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Analysis of Runoff Variability and Periodicity in the Qinghai Lake Basin

Hydrology, Год журнала: 2025, Номер 12(4), С. 83 - 83

Опубликована: Апрель 10, 2025

This study, based on hydrological station data and wavelet analysis, explores the periodic variation characteristics trends of two main tributaries (Buha River Shaliu River) in Qinghai Lake Basin from 1960 to 2016. Wavelet transform is used analyze runoff data, revealing long-term fluctuations their correlation with precipitation changes. The study finds that, 2003 2016, daily peak flow minimum rivers increase compared period 2003, though magnitude differ. At monthly scale, patterns show that June October for concentrated basin, July August being months. Additionally, interannual changes both a gradually increasing trend amid fluctuations, varying fluctuation intensities observed different years. analysis results indicate periodicity 23 years, closely linked precipitation. reveals Basin, providing valuable insights watershed water resource management hydrometeorological forecasting.

Язык: Английский

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Quantitative attribution analysis of water and sediment changes in the Lower Yellow River (1950–2022) under the influence of climate change and human activities

Environmental Earth Sciences, Год журнала: 2025, Номер 84(9)

Опубликована: Апрель 25, 2025

Язык: Английский

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