Recent development on drought propagation: A comprehensive review

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

Опубликована: Окт. 1, 2024

Язык: Английский

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Using Integrated Geodetic Data for Enhanced Monitoring of Drought Characteristics Across Four Provinces and Municipalities in Southwest China

Remote Sensing, Год журнала: 2025, Номер 17(3), С. 397 - 397

Опубликована: Янв. 24, 2025

This paper presents an analysis of regional terrestrial water storage (TWS) changes and drought characteristics in Southwest China, encompassing Sichuan Province, Chongqing Municipality, Yunnan Guizhou Province. Existing geodetic datasets, such as those from the Gravity Recovery Climate Experiment (GRACE) its successor satellites (GRACE Follow-On), well Global Navigation Satellite System (GNSS) data, face significant challenges related to limited spatial resolution insufficient station distribution. To address these issues, we propose a novel inversion method that integrates GNSS GRACE/GFO data by establishing virtual stations for determining weight values between using Akaike Bayesian Information Criterion (ABIC). allows estimating TWS December 2010 June 2023 monitoring conditions conjunction with hydrometeorological (precipitation, evapotranspiration, runoff). The results show strong correlations joint (0.98) (0.69). Joint Drought Severity Index (Joint-DSI) indicates five major events, most severe occurring July 2022 2023, average deficit 86.133 km³. Extreme primarily impacts Yunnan, driven abnormal precipitation deficits. methodology presented this study provides practical approach assessing China. leverages complementary strengths offers new insights into resource management detection.

Язык: Английский

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Grace-based assessment of hydrometeorological droughts and their Possible teleconnection Mechanisms using wavelet based quantitative approach

International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2025, Номер 137, С. 104410 - 104410

Опубликована: Фев. 16, 2025

Язык: Английский

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Regulatory Impacts of the Three Gorges Dam on Long-Term Terrestrial Water Storage Anomalies in the Three Gorges Reservoir Area: Insights from GRACE and Multi-Source Data

Remote Sensing, Год журнала: 2025, Номер 17(5), С. 901 - 901

Опубликована: Март 4, 2025

Understanding the impact of human activities on regional water resources is essential for sustainable basin management. This study examines long-term terrestrial storage anomalies (TWSA) in Three Gorges Reservoir Area (TGRA) over two decades, from 2003 to 2023. The analysis utilizes data Gravity Recovery and Climate Experiment (GRACE) its successor mission (GRACE-FO), complemented by Global Land Data Assimilation System (GLDAS) models ECMWF Reanalysis v5 (ERA5) datasets. research methodically explores comparative contributions natural factors region’s hydrological dynamics. By integrating GRACE Drought Severity Index (GRACE-DSI), this uncovers dynamics droughts during extreme climate events. It also reveals pivotal role Dam (TGD) mitigating these events managing resources. Our findings indicate a notable upward trend TWSA within TGRA, with an annual increase 0.93 cm/year. largely due effective regulatory operations TGD. dam effectively balances seasonal distribution between summer winter substantially reduces adverse effects Further, GRACE-DSI underscores swift recovery following 2022 drought, highlighting TGD’s critical responding climatic conditions. Through correlation analysis, it was found that compared (correlation 0.62), 0.91) exhibit higher relative contribution variability. human-induced were derived difference GLDAS datasets, capturing combined all activities, including TGD, agricultural irrigation, urbanization. However, TGD serves as key facility significantly influences resource dynamics, particularly provides scientific basis management TGRA similar large reservoir regions, emphasizing necessity interactions strategies.

Язык: Английский

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Groundwater Storage Response to Extreme Hydrological Events in Poyang Lake, China’s Largest Fresh-Water Lake

Remote Sensing, Год журнала: 2025, Номер 17(6), С. 988 - 988

Опубликована: Март 12, 2025

Groundwater systems are important for maintaining ecological balance and ensuring water supplies. However, under the combined pressures of shifting climate patterns human activities, their responses to extreme events have become increasingly complex. As China’s largest freshwater lake, Poyang Lake supports critical resources, health, adaptation efforts. Yet, relationship between groundwater storage (GWS) hydrological in this region remains insufficiently studied, hindering effective management. This study investigates GWS response by downscaling Gravity Recovery Climate Experiment (GRACE) data validating it with five years observed daily levels. Using GRACE, Global Land Data Assimilation System (GLDAS), ERA5 data, a convolutional neural network (CNN)–attention mechanism (A)–long short-term memory (LSTM) model was selected downscale high resolution (0.1° × 0.1°) estimate recovery times return baseline. Our analysis revealed seasonal fluctuations that phase precipitation, evapotranspiration, runoff. durations flood (2020) drought (2022) ranged from 0.8 3.1 months 0.2 4.8 months, respectively. A strong correlation meteorological droughts, while agricultural significantly weaker. These results indicate precipitation runoff more sensitive than evapotranspiration influencing changes. findings highlight significant sensitivity GWS, despite improved management

Язык: Английский

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Revealing the characteristics and propagation patterns of hydrological drought in Sichuan using GNSS-based runoff estimates

International Journal of Digital Earth, Год журнала: 2025, Номер 18(1)

Опубликована: Март 30, 2025

Язык: Английский

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Refining GNSS-based water storage estimation: Improved hydrological signal extraction using principal component analysis

Geodesy and Geodynamics, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

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A fusion strategy for terrestrial water storage anomaly inversion using joint GNSS and GRACE for Southwest China

Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 59, С. 102391 - 102391

Опубликована: Апрель 21, 2025

Язык: Английский

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A GNSS Terrestrial Water Storage Inversion Method Based on GRACE Spatial Constraints

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Год журнала: 2024, Номер 17, С. 16487 - 16496

Опубликована: Янв. 1, 2024

Язык: Английский

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Estimation of Terrestrial Water Storage Changes in Brazil From the Joint Inversion of GRACE‐Based Geopotential Difference and GNSS Vertical Displacement Data

Water Resources Research, Год журнала: 2024, Номер 60(11)

Опубликована: Ноя. 1, 2024

Abstract Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry Global Navigation Satellite System (GNSS) surface displacement measurements offer complementary advantages for monitoring terrestrial water storage (TWS) changes. We propose a new joint inversion model based on the combination of GRACE‐based geopotential difference (GPD) observations using mascon method GNSS vertical displacements through Green's function to obtain reliable TWS changes in Brazil. The performance jointly inverted is assessed closed‐loop simulations comparisons with hydrometeorological data (precipitation‐P, evapotranspiration‐ET, runoff‐R) budget closure (P‐ET‐R) river level from altimetry. simulation results indicate that exhibit higher accuracy reliability than GRACE GPD‐based (GPD‐mascon) solutions, standard deviations (STDs) decrease by ∼6.98 ∼37.5 mm compared those GPD‐mascon solutions. real demonstrates notably lower uncertainty solutions exhibits significant improvement GNSS‐only STDs correlation coefficients between monthly R time series derived three methods (joint inversion, combined P ET closure) situ are 19.607 0.912, 20.879 0.904, 31.370 0.778, respectively. estimates also yield better Furthermore, at weekly scale, show consistency P‐ET‐R

Язык: Английский

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