Enhanced Three-Dimensional (3D) Drought Tracking for Future Migration Patterns in China Under CMIP6 Projections DOI Open Access
Sijia Wu, Ximing Chen, Jiejun Huang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 1099 - 1099

Published: April 7, 2025

Analyzing drought evolution requires dynamic three-dimensional methods to capture spatiotemporal continuity. Existing approaches oversimplify patch connectivity by relying on overlapping logic, thereby neglecting evolution. We propose a novel identification method incorporating spatial autocorrelation and anisotropy. Using the ERA5 dataset multi-model ensemble mean (MEM) of CMIP6, we investigate meteorological characteristics migration patterns in China during 1961–2010 (historical) 2031–2080 (future, SSP2-4.5/SSP5-8.5). Results indicate future frequency may decline over 70% compared historical levels, but severity, duration, affected area, distance could increase significantly. Most droughts (96.3% for SSP2-4.5; 95.0% SSP5-8.5) are projected spring summer. Drought trajectories predominantly shift northeastward (33% 38% SSP5-8.5), with hotspots transitioning from upper Yangtze River Basin Yellow Basin. These findings enhance understanding dynamics support development improved monitoring frameworks. The methodology projections provide critical insights risk management adaptive water resource planning under climate change.

Language: Английский

Long-term field observations of the impacts of drought and stand development on runoff in a forested watershed DOI

Shulan Sun,

Wenhua Xiang,

Zhonghui Zhao

et al.

Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 367, P. 110519 - 110519

Published: March 30, 2025

Language: Английский

Citations

1
In-phase variations of winter and spring dryness/wetness over Southwest China: impact of winter snow cover in the Tibetan Plateau DOI
Juan Wang, Ke Fan, Zhiqing Xu

et al.

Climate Dynamics, Journal Year: 2025, Volume and Issue: 63(4)

Published: April 1, 2025

Language: Английский

Citations

0
The Impact of Climate Risk on Corporate Digital Transformation: Evidence from Chinese Listed Companies DOI
Xue Fei Chang

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Abstract This study investigates how climate risk influences corporate digital transformation using data from Chinese A-share listed companies (2000–2023). Through text analysis and fixed-effects regression models, we demonstrate that firms strategically accelerate to mitigate risks, particularly non-state-owned enterprises, high-tech firms, with higher institutional ownership. Financial constraints, analyst coverage, media scrutiny amplify this relationship. Robustness checks including propensity score matching difference-in-differences confirm our findings. The results provide novel insights into serves as a resilience-building mechanism against offering practical guidance for policymakers strategists in emerging economies.

Language: Английский

Citations

0
Enhanced Three-Dimensional (3D) Drought Tracking for Future Migration Patterns in China Under CMIP6 Projections DOI Open Access
Sijia Wu, Ximing Chen, Jiejun Huang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 1099 - 1099

Published: April 7, 2025

Analyzing drought evolution requires dynamic three-dimensional methods to capture spatiotemporal continuity. Existing approaches oversimplify patch connectivity by relying on overlapping logic, thereby neglecting evolution. We propose a novel identification method incorporating spatial autocorrelation and anisotropy. Using the ERA5 dataset multi-model ensemble mean (MEM) of CMIP6, we investigate meteorological characteristics migration patterns in China during 1961–2010 (historical) 2031–2080 (future, SSP2-4.5/SSP5-8.5). Results indicate future frequency may decline over 70% compared historical levels, but severity, duration, affected area, distance could increase significantly. Most droughts (96.3% for SSP2-4.5; 95.0% SSP5-8.5) are projected spring summer. Drought trajectories predominantly shift northeastward (33% 38% SSP5-8.5), with hotspots transitioning from upper Yangtze River Basin Yellow Basin. These findings enhance understanding dynamics support development improved monitoring frameworks. The methodology projections provide critical insights risk management adaptive water resource planning under climate change.

Language: Английский

Citations

0