Study on the Spatial Distribution Patterns and Driving Forces of Rainstorm-Induced Flash Flood in the Yarlung Tsangpo River Basin DOI Creative Commons

Fei He,

Chaolei Zheng, Xingguo Mo

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1393 - 1393

Published: April 14, 2025

Flash floods, typically triggered by natural events such as heavy rainfall, snowmelt, and dam failures, are characterized abrupt onset, destructive power, unpredictability, challenges in mitigation. This study investigates the spatial distribution patterns driving mechanisms of rainstorm-induced flash flood disasters Yarlung Tsangpo River Basin (YTRB) integrating topography, hydrometeorology, human activity data, historical disaster records. Through a multi-method analysis framework—including kernel density estimation, standard deviation ellipse, autocorrelation (Moran’s I Getis–Ord Gi*), optimal parameter geographic detector (OPGD) model (integrating univariate interaction detection)—we reveal multiscale dynamics across county, township, small catchment levels. Key findings indicate that finer resolution (e.g., scale) enhances precision when identifying high-risk zones. Temporally, number floods increased significantly disaster-affected areas expanded from 1980s to 2010s, with peak dispersion observed during 2010–2019, reflecting westward shift distribution. Spatial aggregation persisted throughout period, concentrated central basin. Village (TD) was identified predominant factor, exhibiting nonlinear amplification through interactions short-duration rainfall (particularly 3 h [P3] 6 [P6] maximum precipitations) GDP. These precipitation durations demonstrated compounding risk effects, where sustained intensity progressively heightened potential. Topographic ecological interactions, particularly between elevation (DEM) vegetation type (VT), further modulate intensity. provide critical insights for zonation targeted prevention strategies high-altitude river basins.

Language: Английский

Half-day (daytime and nighttime) precipitation extremes in China: Changes and attribution from 1981 to 2022 DOI
Jiahao Han,

Shibo Fang,

Xiaomao Lin

et al.

Global and Planetary Change, Journal Year: 2025, Volume and Issue: 245, P. 104696 - 104696

Published: Jan. 5, 2025

Language: Английский

Citations

0
Modeling current and future distributions of invasive Asteraceae species in Northeast China DOI Creative Commons
Jie Yu, Lan Li, Hangnan Yu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 11, 2025

The ecological balance and agricultural productivity of northeastern China are seriously threatened by the long-term invasion spread Asteraceae plants, which have severely disrupted region's biodiversity ecosystem stability. Ambrosia artemisiifolia L., trifida Erigeron canadensis L. Class 1 malignant invasive species widely distributed across China. In this context, we selected 36 predictor variables utilized MaxEnt model to investigate influence current climate on their distribution patterns. Using future data, projected shifts in dynamics these three for two time periods (2041–2060 2061–2080) under change scenarios (SSP126, SSP245, SSP585). demonstrated a good predictive impact, with an average area curve (AUC) 0.918. Currently, primarily found southern part However, due climatic changes, centroids gradually shifting southwest, leading increase highly suitable zones species. Moreover, trend analysis revealed that potential changes southwestern likely experience increasing various models. This study provides initial insights into change, enabling formulation plans managing preventing risks impacts

Language: Английский

Citations

0
Identification and characteristics of regional rainstorm events in China based on a dual-threshold method DOI

Siyuan Dai,

Qi Zhang, Shaofeng Huang

et al.

Atmospheric Research, Journal Year: 2025, Volume and Issue: unknown, P. 108081 - 108081

Published: March 1, 2025

Language: Английский

Citations

0
Study on the Spatial Distribution Patterns and Driving Forces of Rainstorm-Induced Flash Flood in the Yarlung Tsangpo River Basin DOI Creative Commons

Fei He,

Chaolei Zheng, Xingguo Mo

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1393 - 1393

Published: April 14, 2025

Flash floods, typically triggered by natural events such as heavy rainfall, snowmelt, and dam failures, are characterized abrupt onset, destructive power, unpredictability, challenges in mitigation. This study investigates the spatial distribution patterns driving mechanisms of rainstorm-induced flash flood disasters Yarlung Tsangpo River Basin (YTRB) integrating topography, hydrometeorology, human activity data, historical disaster records. Through a multi-method analysis framework—including kernel density estimation, standard deviation ellipse, autocorrelation (Moran’s I Getis–Ord Gi*), optimal parameter geographic detector (OPGD) model (integrating univariate interaction detection)—we reveal multiscale dynamics across county, township, small catchment levels. Key findings indicate that finer resolution (e.g., scale) enhances precision when identifying high-risk zones. Temporally, number floods increased significantly disaster-affected areas expanded from 1980s to 2010s, with peak dispersion observed during 2010–2019, reflecting westward shift distribution. Spatial aggregation persisted throughout period, concentrated central basin. Village (TD) was identified predominant factor, exhibiting nonlinear amplification through interactions short-duration rainfall (particularly 3 h [P3] 6 [P6] maximum precipitations) GDP. These precipitation durations demonstrated compounding risk effects, where sustained intensity progressively heightened potential. Topographic ecological interactions, particularly between elevation (DEM) vegetation type (VT), further modulate intensity. provide critical insights for zonation targeted prevention strategies high-altitude river basins.

Language: Английский

Citations

0