Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132517 - 132517
Published: Dec. 1, 2024
Language: Английский
Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132517 - 132517
Published: Dec. 1, 2024
Language: Английский
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: March 12, 2024
Abstract This study aims to quantify meteorological–hydrological drought propagations and examine the potential impacts by climatic variability, LULC change (LULC), human regulations. An integrated observation-modeling framework quantifies propagation intervals assesses mechanisms influencing hydrological droughts. Meteorological droughts are characterized using Standardized Precipitation Evapotranspiration Index (SPEI), assessed through Streamflow (SSI) across diverse zones. Cross-correlation analysis between SPEI SSI time series identifies lag associated with highest correlation as interval. Mechanisms investigated via a coupled empirical-process modeling incorporating Soil Water Assessment Tool (SWAT). Discrepancies simulated observed help extent of regulation on characteristics propagation. The Yellow River Basin (YRB), divided into six subzones based climate characteristics, is selected case study. Key findings include: (1) were extremely severe most YRB during 1990s, while 2000s showed some mitigation primarily due precipitation increases. (2) Hydrological times from meteorology hydrology demonstrated substantial spatiotemporal variability. In general, summer shorter than other seasons. (3) Propagation in arid regions cropland or built-up land cover versus grassland woodland, reverse held for humid regions. (4) Human regulations prolonged times, likely reservoir designed overcome water deficits. While focus this paper, methodologies applicable worldwide enhance forecasting resource management. various contexts worldwide.
Language: Английский
Citations
19Journal of Water and Climate Change, Journal Year: 2024, Volume and Issue: 15(3), P. 998 - 1017
Published: Feb. 6, 2024
Abstract Drought directly impacts the agricultural ecosystem, thus causing significant threat to regional and global food security. Investigating occurrence propagation patterns of drought events is crucial for its better understanding mitigation. The study investigates different agro-climatic regions Ganga River basin from 2001 2020 quantify meteorological using Standardized Precipitation Index (SPI). Additionally, assessment was conducted Soil Moisture (SSMI) Normalized Difference Vegetation (NDVI). For dynamics drought, Pearson Correlation Coefficient (PCC)-based approach employed compute time between types. Stronger correlations were observed SPI SSMI compared NDVI anomaly, highlighting direct connection precipitation soil moisture. results present show that ranges within 1–11 months across as inferred maximum PCC values series. rate varied 29.03 73.33% among regions. insights gained this analysis on can inform policymakers in formulating appropriate measure.
Language: Английский
Citations
6Published: May 31, 2024
Abstract. At the global scale, droughts can be described by many variables, expressing their extent, duration, dynamics and severity. To identify common features in land drought events (GLDEs) based on soil moisture, we present a robust method for identification classification (cataloging). Gridded estimates of root-zone moisture from SoilClim model mesoscale Hydrologic Model (mHM) were calculated over 1980–2022. Using 10th percentile thresholds anomalies OPTICS clustering gridded data 10-day interval, total 775 GLDEs 630 mHM identified. By utilizing four spatiotemporal three motion-related characteristics each GLDE, established threshold percentiles distributions. This information enabled us to categorize into seven severity categories (ranging extremely weak severe) dynamic static dynamic). Our global-scale synthesis revealed highest relative proportions severe South American region, followed North America, while single longest most extensive occurred Eurasia. The overlapped substantially but very little less severe/dynamic categories, despite some small that have occasionally been dynamic. frequency has generally increased recent decades across different is statistically significant only cases. Overall, cataloging presents unique opportunity analyze evolving spatiotemporally connected provides basis future investigations drivers impacts dynamically events.
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132517 - 132517
Published: Dec. 1, 2024
Language: Английский
Citations
0